Agro-Pedo-Climatological Zoning of Italy
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<strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> <strong>of</strong> <strong>Italy</strong><br />
Application to grain maize, durum wheat, s<strong>of</strong>t wheat,<br />
spring barley, sugar beet, rapeseed, sunflower, soybean,<br />
tomato<br />
S Bagli, JM Terres, J Gallego, A. Annoni, J.F Dallemand<br />
Monograph EUR 20550 EN<br />
EUROPEAN COMMISSION<br />
DIRECTORATE GENERAL<br />
JOINT RESEARCH CENTRE – ISPRA<br />
Institute for Environment & Sustainability<br />
Land Management unit
<strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> <strong>of</strong> <strong>Italy</strong><br />
Definition <strong>of</strong> homogeneous suitable agro-pedoclimatic<br />
zones<br />
Application to grain maize, durum wheat, s<strong>of</strong>t wheat,<br />
spring barley, sugar beet, rapeseed, sunflower, soybean,<br />
tomato<br />
S Bagli, JM Terres, J Gallego, A. Annoni, J.F Dallemand<br />
Monograph EUR 20550 EN<br />
January 2003
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
Foreword<br />
JRC (ANNONI) In progress<br />
IV
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
V
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
Table <strong>of</strong> Contents<br />
List <strong>of</strong> Figures and Tables..........................................................................................................XI<br />
Acknowledgments ......................................................................................................................... 1<br />
Introduction................................................................................................................................... 2<br />
1 Methodology .......................................................................................................................... 3<br />
1.1 Data Sets ....................................................................................................................4<br />
1.2 Crop Calendar in <strong>Italy</strong>................................................................................................4<br />
1.3 <strong>Climatological</strong> Index..................................................................................................5<br />
1.3.1 Temperature Satisfaction index -TSI.................................................................7<br />
1.3.2 Frost Risk Index FRI..........................................................................................7<br />
1.3.3 Heat Stress Risk Index - HSRI...........................................................................7<br />
1.3.4 Thermal Satisfaction Index -ThSI......................................................................7<br />
1.3.5 Vernalization Satisfaction Index - VSI..............................................................8<br />
1.3.6 Flowering Temperature Satisfaction Index - FTSI ............................................8<br />
1.4 <strong>Pedo</strong>logical data.........................................................................................................8<br />
1.4.1 AWC – Available Water Capacity...................................................................10<br />
1.4.2 Soil Depth ........................................................................................................11<br />
1.4.3 Texture .............................................................................................................12<br />
1.5 Morphology parameters...........................................................................................14<br />
1.5.1 Mean elevation.................................................................................................14<br />
1.5.2 Slope ................................................................................................................15<br />
1.6 Overlay analysis <strong>of</strong> Climatic zones and pedological units ......................................16<br />
1.7 Crop Water Satisfaction Index.................................................................................17<br />
1.8 Suitability Criteria....................................................................................................19<br />
1.9 Spatial Homogeneous <strong>Zoning</strong>..................................................................................19<br />
2 Discussion............................................................................................................................. 21<br />
3 Analysis <strong>of</strong> yield data from the AGRIT point survey..................................................... 23<br />
3.1 Data used for the analysis ........................................................................................23<br />
AGRIT observations and ISTAT data by province ........................................................23<br />
3.2 Grain maize analysis................................................................................................24<br />
Basic description <strong>of</strong> the Grain maize yield data. .............................................................26<br />
Analysis <strong>of</strong> Variance (Analysis) – ANOVA -<strong>of</strong> the Grain maize yield data...................28<br />
3.3 Common wheat analysis. .........................................................................................30<br />
ANOVA for common wheat............................................................................................30<br />
3.4 Barley analysis.........................................................................................................32<br />
3.5 Conclusions..............................................................................................................32<br />
4 Concluding Remarks .......................................................................................................... 33<br />
List <strong>of</strong> Acronyms......................................................................................................................... 35<br />
Bibliography ................................................................................................................................ 36<br />
Annex I: Crop <strong>Zoning</strong> Application ........................................................................................... 40<br />
Grain maize in <strong>Italy</strong>.................................................................................................................... 41<br />
Growing Period in <strong>Italy</strong> .......................................................................................................41<br />
Climatic Suitability Map......................................................................................................42<br />
Temperature Satisfaction Index -TSI...............................................................................42<br />
Frost Risk Index -FRI ......................................................................................................43<br />
Heat Stress Risk Index -HSRI..........................................................................................44<br />
Thermal Satisfaction Index - ThSI...................................................................................45<br />
VI
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
<strong>Pedo</strong>logical Suitability Criteria............................................................................................47<br />
Soil Depth ........................................................................................................................47<br />
Texture .............................................................................................................................48<br />
Morphology Suitability Criteria...........................................................................................49<br />
Mean elevation.................................................................................................................49<br />
Slope ................................................................................................................................50<br />
Crop Water Satisfaction Index Suitability ...........................................................................51<br />
Suitably Index Score............................................................................................................52<br />
Non Irrigated Scenario.....................................................................................................52<br />
Irrigated Scenario.............................................................................................................53<br />
<strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ......................................................................................54<br />
Non Irrigated Scenario.....................................................................................................54<br />
Irrigated Scenario.............................................................................................................56<br />
S<strong>of</strong>t Wheat - Barley in <strong>Italy</strong> ....................................................................................................... 58<br />
Growing Period in <strong>Italy</strong> .......................................................................................................58<br />
Climatic Suitability Map......................................................................................................59<br />
Temperature Satisfaction Index -TSI...............................................................................59<br />
Frost Risk Index -FRI ......................................................................................................60<br />
Heat Stress Risk Index -HSRI.........................................................................................61<br />
Thermal Satisfaction Index - ThSI..................................................................................62<br />
Vernalization Satisfaction Index - VSI...........................................................................64<br />
<strong>Pedo</strong>logical Suitability Criteria............................................................................................65<br />
Soil Depth ........................................................................................................................65<br />
Texture .............................................................................................................................66<br />
Morphology Suitability Criteria...........................................................................................67<br />
Mean elevation.................................................................................................................67<br />
Slope ................................................................................................................................68<br />
Crop Water Satisfaction Index Suitability ...........................................................................69<br />
Suitably Index Score............................................................................................................70<br />
Non Irrigated Scenario.....................................................................................................70<br />
<strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ......................................................................................71<br />
Non Irrigated Scenario.....................................................................................................71<br />
Durum Wheat in <strong>Italy</strong> ................................................................................................................ 73<br />
Growing Period in <strong>Italy</strong> .......................................................................................................73<br />
Climatic Suitability Map......................................................................................................74<br />
Temperature Satisfaction Index -TSI...............................................................................74<br />
Frost Risk Index -FRI ......................................................................................................75<br />
Heat Stress Risk Index -HSRI.........................................................................................76<br />
Thermal Satisfaction Index - ThSI..................................................................................77<br />
Flowering Temperature Satisfaction Index - FTSI .........................................................79<br />
<strong>Pedo</strong>logical Suitability Criteria............................................................................................80<br />
Soil Depth ........................................................................................................................80<br />
Texture .............................................................................................................................81<br />
Morphology Suitability Criteria...........................................................................................82<br />
Mean elevation.................................................................................................................82<br />
Slope ................................................................................................................................83<br />
Crop Water Satisfaction Index Suitability ...........................................................................84<br />
Index Score ..........................................................................................................................85<br />
Non Irrigated Scenario.....................................................................................................85<br />
<strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ......................................................................................86<br />
VII
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
Non Irrigated Scenario.....................................................................................................86<br />
Tomato in <strong>Italy</strong>............................................................................................................................ 88<br />
Growing Period in <strong>Italy</strong> .......................................................................................................88<br />
Climatic Suitability Map......................................................................................................89<br />
Temperature Satisfaction Index -TSI...............................................................................89<br />
Frost Risk Index -FRI ......................................................................................................90<br />
Heat Stress Risk Index -HSRI.........................................................................................91<br />
Thermal Satisfaction Index - ThSI..................................................................................92<br />
<strong>Pedo</strong>logical Suitability Criteria............................................................................................94<br />
Soil Depth ........................................................................................................................94<br />
Texture .............................................................................................................................95<br />
Morphology Suitability Criteria for Tomato........................................................................96<br />
Mean elevation.................................................................................................................96<br />
Slope ................................................................................................................................97<br />
Crop Water Satisfaction Index Suitability ...........................................................................98<br />
Suitably Index Score............................................................................................................99<br />
Non Irrigated Scenario.....................................................................................................99<br />
Irrigated Scenario...........................................................................................................100<br />
<strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> for Tomato .................................................................101<br />
Non Irrigated Scenario...................................................................................................101<br />
Irrigated Scenario...........................................................................................................103<br />
Sugar beet in <strong>Italy</strong>..................................................................................................................... 105<br />
Growing Period in <strong>Italy</strong> .....................................................................................................105<br />
Climatic Suitability Map....................................................................................................106<br />
Temperature Satisfaction Index -TSI.............................................................................106<br />
Frost Risk Index -FRI ....................................................................................................107<br />
Heat Stress Risk Index -HSRI.......................................................................................108<br />
Thermal Satisfaction Index - ThSI................................................................................109<br />
Flowering Temperature Satisfaction Index - FTSI .......................................................111<br />
<strong>Pedo</strong>logical Suitability Criteria..........................................................................................112<br />
Soil Depth ......................................................................................................................112<br />
Texture ...........................................................................................................................113<br />
Morphology Suitability Criteria.........................................................................................114<br />
Mean elevation...............................................................................................................114<br />
Slope ..............................................................................................................................115<br />
Crop Water Satisfaction Index Suitability .........................................................................116<br />
Suitably Index Score..........................................................................................................117<br />
Non Irrigated Scenario...................................................................................................117<br />
Irrigated Scenario...........................................................................................................118<br />
<strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> for Sugar beet.............................................................119<br />
Non Irrigated Scenario...................................................................................................119<br />
Irrigated Scenario...........................................................................................................121<br />
Sunflower in <strong>Italy</strong>...................................................................................................................... 123<br />
Growing Period in <strong>Italy</strong> .....................................................................................................123<br />
Climatic Suitability Map....................................................................................................124<br />
Temperature Satisfaction Index -TSI.............................................................................124<br />
Frost Risk Index -FRI ....................................................................................................125<br />
Heat Stress Risk Index -HSRI.......................................................................................126<br />
Thermal Satisfaction Index - ThSI................................................................................127<br />
Flowering Temperature Satisfaction Index - FTSI .......................................................129<br />
VIII
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
<strong>Pedo</strong>logical Suitability Criteria..........................................................................................130<br />
Soil Depth ......................................................................................................................130<br />
Texture ...........................................................................................................................131<br />
Morphology Suitability Criteria.........................................................................................132<br />
Mean elevation...............................................................................................................132<br />
Slope ..............................................................................................................................133<br />
Crop Water Satisfaction Index Suitability .........................................................................134<br />
Suitably Index Score <strong>Zoning</strong> .............................................................................................135<br />
Non Irrigated Scenario...................................................................................................135<br />
Irrigated Scenario...........................................................................................................136<br />
<strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> for Sunflower.............................................................137<br />
Non Irrigated Scenario...................................................................................................137<br />
Irrigated Scenario...........................................................................................................139<br />
Soy Bean in <strong>Italy</strong> ....................................................................................................................... 141<br />
Growing Period in <strong>Italy</strong> .....................................................................................................141<br />
Climatic Suitability Map....................................................................................................142<br />
Temperature Satisfaction Index -TSI.............................................................................142<br />
Frost Risk Index -FRI ....................................................................................................143<br />
Heat Stress Risk Index -HSRI.......................................................................................144<br />
Thermal Satisfaction Index - ThSI................................................................................145<br />
Flowering Temperature Satisfaction Index - FTSI .......................................................147<br />
<strong>Pedo</strong>logical Suitability Criteria..........................................................................................148<br />
Soil Depth ......................................................................................................................148<br />
Texture ...........................................................................................................................149<br />
Morphology Suitability Criteria.........................................................................................150<br />
Mean elevation...............................................................................................................150<br />
Slope ..............................................................................................................................151<br />
Crop Water Satisfaction Index Suitability .........................................................................152<br />
Soy Bean Suitably Index Score..........................................................................................153<br />
Non Irrigated Scenario...................................................................................................153<br />
Irrigated Scenario...........................................................................................................154<br />
<strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> for Soy Bean ..............................................................155<br />
Non Irrigated Scenario...................................................................................................155<br />
Irrigated Scenario...........................................................................................................157<br />
Rapeseed in <strong>Italy</strong>....................................................................................................................... 159<br />
Growing Period in <strong>Italy</strong> .....................................................................................................159<br />
Climatic Suitability Map....................................................................................................160<br />
Temperature Satisfaction Index -TSI.............................................................................160<br />
Frost Risk Index -FRI ....................................................................................................161<br />
Heat Stress Risk Index -HSRI.......................................................................................162<br />
Thermal Satisfaction Index - ThSI................................................................................163<br />
Flowering Temperature Satisfaction Index - FTSI .......................................................165<br />
Vernalization Satisfaction Index - VSI.........................................................................166<br />
<strong>Pedo</strong>logical Suitability Criteria..........................................................................................167<br />
Soil Depth ......................................................................................................................167<br />
Texture ...........................................................................................................................168<br />
Morphology Suitability Criteria.........................................................................................169<br />
Mean elevation...............................................................................................................169<br />
Slope ..............................................................................................................................170<br />
Crop Water Satisfaction Index Suitability for Rapeseed ...................................................171<br />
IX
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
Rapeseed Suitably Index Score..........................................................................................172<br />
Non Irrigated Scenario...................................................................................................172<br />
<strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> for Rapeseed ..............................................................173<br />
Non Irrigated Scenario...................................................................................................173<br />
Annex II: Index Equations....................................................................................................... 175<br />
Temperature Satisfaction index -TSI.................................................................................176<br />
Frost Risk Index FRI..........................................................................................................176<br />
Heat Stress Risk Index - HSRI...........................................................................................176<br />
Thermal Satisfaction Index -ThSI......................................................................................176<br />
Vernalization Satisfaction Index - VSI..............................................................................177<br />
Flowering Temperature Satisfaction index -FTSI .............................................................177<br />
Crop Water Satisfaction Index (CWSI) .............................................................................178<br />
Soil Water Content.............................................................................................................178<br />
Annex III: <strong>Agro</strong>-pedo-climatological zones............................................................................ 179<br />
Grain maize <strong>Agro</strong>-pedo-climatological zones ...................................................................180<br />
Irrigated Scenario...........................................................................................................180<br />
Non-Irrigated Scenario...................................................................................................183<br />
S<strong>of</strong>t Wheat – Barley <strong>Agro</strong>-pedo-climatological zones ......................................................184<br />
Non Irrigated Scenario...................................................................................................184<br />
Durum Wheat <strong>Agro</strong>-pedo-climatological zones ................................................................188<br />
Non Irrigated Scenario...................................................................................................188<br />
Tomato <strong>Agro</strong>-pedo-climatological zones ..........................................................................193<br />
Non Irrigated Scenario...................................................................................................193<br />
Irrigated Scenario...........................................................................................................196<br />
Sugar beet <strong>Agro</strong>-pedo-climatological zones......................................................................201<br />
Non Irrigated Scenario...................................................................................................201<br />
Irrigated Scenario...........................................................................................................202<br />
Sunflower <strong>Agro</strong>-pedo-climatological zones ......................................................................205<br />
Non Irrigated Scenario...................................................................................................205<br />
Irrigated Scenario...........................................................................................................207<br />
Soy bean <strong>Agro</strong>-pedo-climatological zones ........................................................................211<br />
Non Irrigated Scenario...................................................................................................211<br />
Irrigated Scenario...........................................................................................................213<br />
Rapeseed <strong>Agro</strong>-pedo-climatological zones........................................................................216<br />
Non Irrigated Scenario...................................................................................................216<br />
X
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
Figure 56– Durum Wheat Suitability Index Score <strong>Zoning</strong> in Non-Irrigated Scenario ..........................................85<br />
Figure 57 – Durum Wheat Suitability Class in Non-Irrigated Scenario.................................................................86<br />
Figure 58–Durum Wheat <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Non-Irrigated Scenario ................................87<br />
Figure 59 Tomato TSI Index Suitability Classification .........................................................................................89<br />
Figure 60– Tomato FRI Index Suitability Classification.......................................................................................90<br />
Figure 61– Tomato HSRI Index Suitability Classification....................................................................................91<br />
Figure 62– Tomato ThSI Index Suitability Classification until Flowering Period ...............................................92<br />
Figure 63– Tomato ThSI Index Suitability Classification until Ripening Period .................................................93<br />
Figure 64– Tomato Soil depth Suitability Classification........................................................................................94<br />
Figure 65- Tomato Texture Suitability Classification.............................................................................................95<br />
Figure 66– Tomato Mean Elevation Suitability Classification...............................................................................96<br />
Figure 67– Tomato Slope Suitability Classification ..............................................................................................97<br />
Figure 68– Tomato CSWI Suitability Classification .............................................................................................98<br />
Figure 69– Tomato Suitability Index Score <strong>Zoning</strong> in Non-Irrigated Scenario.....................................................99<br />
Figure 70– Tomato Suitability Index Score <strong>Zoning</strong> in Irrigated Scenario ...........................................................100<br />
Figure 71 – Tomato Suitability Class in Non-Irrigated Scenario .........................................................................101<br />
Figure 72–Tomato <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Non-Irrigated Scenario.........................................102<br />
Figure 73 – Tomato Suitability Class in Irrigated Scenario..................................................................................103<br />
Figure 74–Tomato <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Irrigated Scenario.................................................104<br />
Figure 75 Sugar beet TSI Index Suitability Classification...................................................................................106<br />
Figure 76– Sugar beet FRI Index Suitability Classification ................................................................................107<br />
Figure 77– Sugar beet HSRI Index Suitability Classification .............................................................................108<br />
Figure 78– Sugar beet ThSI Index Suitability Classification until Flowering Period.........................................109<br />
Figure 79– Sugar beet ThSI Index Suitability Classification until Ripening Period ..........................................110<br />
Figure 80– Sugar beet FTSI Index Suitability Classification during Flowering Period .....................................111<br />
Figure 81– Sugar beet Soil depth Suitability Classification .................................................................................112<br />
Figure 82- Sugar beet Texture Suitability Classification......................................................................................113<br />
Figure 83– Sugar beet Mean Elevation Suitability Classification ........................................................................114<br />
Figure 84– Sugar beet Slope Suitability Classification........................................................................................115<br />
Figure 85– Sugar beet CSWI Suitability Classification.......................................................................................116<br />
Figure 86– Sugar beet Suitability Index Score <strong>Zoning</strong> in Non-Irrigated Scenario ..............................................117<br />
Figure 87– Sugar beet Suitability Index Score <strong>Zoning</strong> in Irrigated Scenario.......................................................118<br />
Figure 88 – Sugar beet Suitability Class in Non-Irrigated Scenario.....................................................................119<br />
Figure 89–Sugar beet <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Non-Irrigated Scenario ....................................120<br />
Figure 90 – Sugar beet Suitability Class in Irrigated Scenario.............................................................................121<br />
Figure 91–Sugar beet <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Irrigated Scenario ............................................122<br />
Figure 92 Sunflower TSI Index Suitability Classification...................................................................................124<br />
Figure 93– Sunflower FRI Index Suitability Classification.................................................................................125<br />
Figure 94– Sunflower HSRI Index Suitability Classification..............................................................................126<br />
Figure 95– Sunflower ThSI Index Suitability Classification until Flowering Period.........................................127<br />
Figure 96– Sunflower ThSI Index Suitability Classification until Ripening Period...........................................128<br />
Figure 97– Sunflower FTSI Index Suitability Classification during Flowering Period......................................129<br />
Figure 98– Sunflower Soil depth Suitability Classification..................................................................................130<br />
Figure 99– Sunflower Texture Suitability Classification......................................................................................131<br />
Figure 100– Sunflower Mean Elevation Suitability Classification ......................................................................132<br />
Figure 101– Sunflower Slope Suitability Classification......................................................................................133<br />
Figure 102– Sunflower CSWI Suitability Classification .....................................................................................134<br />
Figure 103– Sunflower Suitability Index Score <strong>Zoning</strong> in Non-Irrigated Scenario.............................................135<br />
Figure 104– Sunflower Suitability Index Score <strong>Zoning</strong> in Irrigated Scenario.....................................................136<br />
Figure 105– Sunflower Suitability Class in Non-Irrigated Scenario....................................................................137<br />
Figure 106–Sunflower <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Non-Irrigated Scenario ..................................138<br />
Figure 107– Sunflower Suitability Class in Irrigated Scenario ............................................................................139<br />
Figure 108–Sunflower <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Irrigated Scenario...........................................140<br />
Figure 109 Soy Bean TSI Index Suitability Classification ..................................................................................142<br />
Figure 110– Soy Bean FRI Index Suitability Classification................................................................................143<br />
Figure 111– Soy Bean HSRI Index Suitability Classification.............................................................................144<br />
Figure 112– Soy Bean ThSI Index Suitability Classification until Flowering Period ........................................145<br />
Figure 113– Soy Bean ThSI Index Suitability Classification until Ripening Period...........................................146<br />
Figure 114– Soy Bean FTSI Index Suitability Classificationduring Flowering Period......................................147<br />
Figure 115– Soy Bean Soil depth Suitability Classification.................................................................................148<br />
XII
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
Figure 116– Soy Bean Texture Suitability Classification.....................................................................................149<br />
Figure 117– Soy Bean Mean Elevation Suitability Classification........................................................................150<br />
Figure 118– Soy Bean Slope Suitability Classification ........................................................................................151<br />
Figure 119– Soy Bean CSWI Suitability Classification ......................................................................................152<br />
Figure 120– Soy Bean Suitability Index Score <strong>Zoning</strong> in Non-Irrigated Scenario..............................................153<br />
Figure 121– Soy Bean Suitability Index Score <strong>Zoning</strong> in Irrigated Scenario ......................................................154<br />
Figure 122– Soy Bean Suitability Class in Non-Irrigated Scenario .....................................................................155<br />
Figure 123–Soy Bean <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Non-Irrigated Scenario....................................156<br />
Figure 124– Soy Bean Suitability Class in Irrigated Scenario..............................................................................157<br />
Figure 125–Soy Bean <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Irrigated Scenario............................................158<br />
Figure 126 Rapeseed TSI Index Suitability Classification ..................................................................................160<br />
Figure 127– Rapeseed FRI Index Suitability Classification................................................................................161<br />
Figure 128– Rapeseed HSRI Index Suitability Classification.............................................................................162<br />
Figure 129– Rapeseed ThSI Index Suitability Classification until Flowering Period ........................................163<br />
Figure 130– Rapeseed ThSI Index Suitability Classification until Ripening Period ...........................................164<br />
Figure 131– Rapeseed FTSI Index Suitability Classification during Flowering Period.....................................165<br />
Figure 132– Rapeseed VSI Index Suitability Classification until Ripening Period.............................................166<br />
Figure 133– Rapeseed Soil depth Suitability Classification.................................................................................167<br />
Figure 134– Rapeseed Texture Suitability Classification.....................................................................................168<br />
Figure 135– Rapeseed Mean Elevation Suitability Classification........................................................................169<br />
Figure 136– Rapeseed Slope Suitability Classification ........................................................................................170<br />
Figure 137– Rapeseed CSWI Suitability Classification .......................................................................................171<br />
Figure 138– Rapeseed Suitability Index Score <strong>Zoning</strong> in Non-Irrigated Scenario..............................................172<br />
Figure 139– Rapeseed Suitability Class in Non-Irrigated Scenario .....................................................................173<br />
Figure 140–Rapeseed <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Non-Irrigated Scenario....................................174<br />
XIII
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
Table 1 –AWC Classification ..................................................................................................................................10<br />
Table 2 –Soil Depth Classification..........................................................................................................................11<br />
Table 3 –CEC Texture triangle................................................................................................................................12<br />
Table 4 –Texture Classification...............................................................................................................................13<br />
Table 5 –Elevation Classification............................................................................................................................14<br />
Table 6 –Slope Classification ..................................................................................................................................15<br />
Table 7 –Suitability Scores ......................................................................................................................................19<br />
Table 8 –Suitability Scores for CWSI index ...........................................................................................................20<br />
Table 9 –Crop Suitability Classification .................................................................................................................20<br />
Table 10 – Spatial consistency between ISTAT data and AGRIT observations...................................................23<br />
Table 11 – Time consistency between ISTAT data and AGRIT observations.......................................................23<br />
Table 12 –AGRIT Grain maize yield data...............................................................................................................26<br />
Table 13 –soil depth analysis...................................................................................................................................27<br />
Table 14 –elevation analysis....................................................................................................................................27<br />
Table 15 –ANOVA results for Grain maize............................................................................................................29<br />
Table 16 –Soil Depth test.........................................................................................................................................30<br />
Table 17 –ANOVA results for common wheat.......................................................................................................31<br />
Table 18 –ANOVA results for barley......................................................................................................................32<br />
Table 19 –Grain maize Calendar .............................................................................................................................41<br />
Table 20– Grain maize TSI Index Suitability Classification ..................................................................................42<br />
Table 21– Grain maize FRI Index Suitability Classification..................................................................................43<br />
Table 22– Grain maize HSRI Index Suitability Classification...............................................................................44<br />
Table 23– Grain maize ThSI Index Suitability Classification ................................................................................45<br />
Table 24– Grain maize Soil depth Suitability Classification..................................................................................47<br />
Table 25– Grain maize Texture Suitability Classification......................................................................................48<br />
Table 26– Grain maize Mean Elevation Suitability Classification.........................................................................49<br />
Table 27– Grain maize Slope Suitability Classification .........................................................................................50<br />
Table 28– Grain maize CSWI Suitability Classification ........................................................................................51<br />
Table 29– Grain maize Suitability Index Score Classification in Non-Irrigated Scenario ....................................52<br />
Table 30– Grain maize Suitability Index Score Classification in Irrigated Scenario.............................................53<br />
Table 31– Grain maize Suitability Classification in Non-Irrigated Scenario.........................................................54<br />
Table 32– Grain maize Suitability Classification in Irrigated Scenario .................................................................56<br />
Table 33 –S<strong>of</strong>t Wheat – Barley Calendar................................................................................................................58<br />
Table 34 – S<strong>of</strong>t Wheat – Barley TSI Index Suitability Classification....................................................................59<br />
Table 35– S<strong>of</strong>t Wheat – Barley FRI Index Suitability Classification.....................................................................60<br />
Table 36– S<strong>of</strong>t Wheat – Barley HSRI Index Suitability Classification..................................................................61<br />
Table 37– S<strong>of</strong>t Wheat – Barley ThSI Index Suitability Classification...................................................................62<br />
Table 38 – S<strong>of</strong>t Wheat – Barley VSI Index Suitability Classification ...................................................................64<br />
Table 39– S<strong>of</strong>t Wheat – Barley Soil depth Suitability Classification.....................................................................65<br />
Table 40– S<strong>of</strong>t Wheat – Barley Texture Suitability Classification.........................................................................66<br />
Table 41– S<strong>of</strong>t Wheat – Barley Mean Elevation Suitability Classification ...........................................................67<br />
Table 42– S<strong>of</strong>t Wheat – Barley Slope Suitability Classification............................................................................68<br />
Table 43– S<strong>of</strong>t Wheat – Barley CSWI Suitability Classification...........................................................................69<br />
Table 44– S<strong>of</strong>t Wheat – Barley Suitability Index Score Classification in Non-Irrigated Scenario.......................70<br />
Table 45– S<strong>of</strong>t Wheat - Barley Suitability Classification in Non-Irrigated Scenario ............................................71<br />
Table 46 –Durum Wheat Calendar..........................................................................................................................73<br />
Table 47 – Durum Wheat TSI Index Suitability Classification..............................................................................74<br />
Table 48– Durum Wheat FRI Index Suitability Classification...............................................................................75<br />
Table 49– Durum Wheat HSRI Index Suitability Classification............................................................................76<br />
Table 50– Durum Wheat ThSI Index Suitability Classification.............................................................................77<br />
Table 51– Durum Wheat ThSI Index Suitability Classification.............................................................................79<br />
Table 52– Durum Wheat Soil depth Suitability Classification...............................................................................80<br />
Table 53– Durum Wheat Texture Suitability Classification...................................................................................81<br />
Table 54– Durum Wheat Mean Elevation Suitability Classification......................................................................82<br />
Table 55– Durum Wheat Slope Suitability Classification ......................................................................................83<br />
Table 56– Durum Wheat CSWI Suitability Classification .....................................................................................84<br />
Table 57– Durum Wheat Suitability Index Score Classification in Non-Irrigated Scenario .................................85<br />
Table 58– Durum Wheat Suitability Classification in Non-Irrigated Scenario......................................................86<br />
Table 59 –Tomato Calendar.....................................................................................................................................88<br />
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<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
Table 60 – Tomato TSI Index Suitability Classification ........................................................................................89<br />
Table 61– Tomato FRI Index Suitability Classification .........................................................................................90<br />
Table 62– Tomato HSRI Index Suitability Classification ......................................................................................91<br />
Table 63– Tomato ThSI Index Suitability Classification .......................................................................................92<br />
Table 64– Tomato Soil depth Suitability Classification .........................................................................................94<br />
Table 65– Tomato Texture Suitability Classification .............................................................................................95<br />
Table 66– Tomato Mean Elevation Suitability Classification ................................................................................96<br />
Table 67– Tomato Slope Suitability Classification.................................................................................................97<br />
Table 68– Tomato CSWI Suitability Classification................................................................................................98<br />
Table 69– Tomato Suitability Index Score Classification in Non-Irrigated Scenario............................................99<br />
Table 70– Tomato Suitability Index Score Classification in Non-Irrigated Scenario..........................................100<br />
Table 71– Tomato Suitability Classification in Non-Irrigated Scenario ..............................................................101<br />
Table 72– Tomato Suitability Classification in Irrigated Scenario ......................................................................103<br />
Table 73 –Sugar beet Calendar..............................................................................................................................105<br />
Table 74 – Sugar beet TSI Index Suitability Classification..................................................................................106<br />
Table 75– Sugar beet FRI Index Suitability Classification...................................................................................107<br />
Table 76– Sugar beet HSRI Index Suitability Classification................................................................................108<br />
Table 77– Sugar beet ThSI Index Suitability Classification.................................................................................109<br />
Table 78– Sugar beet ThSI Index Suitability Classification.................................................................................111<br />
Table 79– Sugar beet Soil depth Suitability Classification...................................................................................112<br />
Table 80– Sugar beet Texture Suitability Classification.......................................................................................113<br />
Table 81– Sugar beet Mean Elevation Suitability Classification .........................................................................114<br />
Table 82– Sugar beet Slope Suitability Classification..........................................................................................115<br />
Table 83– Sugar beet CSWI Suitability Classification .........................................................................................116<br />
Table 84– Sugar beet Suitability Index Score Classification in Non-Irrigated Scenario.....................................117<br />
Table 85– Sugar beet Suitability Index Score Classification in Non-Irrigated Scenario.....................................118<br />
Table 86– Sugar beet Suitability Classification in Non-Irrigated Scenario..........................................................119<br />
Table 87– Sugar beet Suitability Classification in Irrigated Scenario..................................................................121<br />
Table 88 –Sunflower Phenological Calendar........................................................................................................123<br />
Table 89 – Sunflower TSI Index Suitability Classification ..................................................................................124<br />
Table 90– Sunflower FRI Index Suitability Classification...................................................................................125<br />
Table 91– Sunflower HSRI Index Suitability Classification ................................................................................126<br />
Table 92– Sunflower ThSI Index Suitability Classification .................................................................................127<br />
Table 93– Sunflower ThSI Index Suitability Classification .................................................................................129<br />
Table 94– Sunflower Soil depth Suitability Classification...................................................................................130<br />
Table 95– Sunflower Texture Suitability Classification.......................................................................................131<br />
Table 96– Sunflower Mean Elevation Suitability Classification..........................................................................132<br />
Table 97– Sunflower Slope Suitability Classification ..........................................................................................133<br />
Table 98– Sunflower CSWI Suitability Classification .........................................................................................134<br />
Table 99– Sunflower Suitability Index Score Classification in Non-Irrigated Scenario .....................................135<br />
Table 100– Sunflower Suitability Index Score Classification in Irrigated Scenario............................................136<br />
Table 101– Sunflower Suitability Classification in Non-Irrigated Scenario........................................................137<br />
Table 102– Sunflower Suitability Classification in Irrigated Scenario ................................................................139<br />
Table 103 –Soy Bean Calendar .............................................................................................................................141<br />
Table 104 – Soy Bean TSI Index Suitability Classification .................................................................................142<br />
Table 105– Soy Bean FRI Index Suitability Classification ..................................................................................143<br />
Table 106– Soy Bean HSRI Index Suitability Classification ...............................................................................144<br />
Table 107– Soy Bean ThSI Index Suitability Classification ................................................................................145<br />
Table 108– Soy Bean ThSI Index Suitability Classification ................................................................................147<br />
Table 109– Soy Bean Soil depth Suitability Classification ..................................................................................148<br />
Table 110– Soy Bean Texture Suitability Classification ......................................................................................149<br />
Table 111– Soy Bean Mean Elevation Suitability Classification.........................................................................150<br />
Table 112– Soy Bean Slope Suitability Classification..........................................................................................151<br />
Table 113– Soy Bean CSWI Suitability Classification.........................................................................................152<br />
Table 114– Soy Bean Suitability Index Score Classification in Non-Irrigated Scenario ....................................153<br />
Table 115– Soy Bean Suitability Index Score Classification in Irrigated Scenario.............................................154<br />
Table 116– Soy Bean Suitability Classification in Non-Irrigated Scenario .........................................................155<br />
Table 117– Soy Bean Suitability Classification in Irrigated Scenario .................................................................157<br />
Table 118 –RapeseedCalendar...............................................................................................................................159<br />
Table 119 – Rapeseed TSI Index Suitability Classification..................................................................................160<br />
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<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
Table 120– Rapeseed FRI Index Suitability Classification ..................................................................................161<br />
Table 121– Rapeseed HSRI Index Suitability Classification ...............................................................................162<br />
Table 122– Rapeseed ThSI Index Suitability Classification.................................................................................163<br />
Table 123– Rapeseed ThSI Index Suitability Classification.................................................................................165<br />
Table 124 – Rapeseed VSI Index Suitability Classification .................................................................................166<br />
Table 125– Rapeseed Soil depth Suitability Classification ..................................................................................167<br />
Table 126– Rapeseed Texture Suitability Classification ......................................................................................168<br />
Table 127– Rapeseed Mean Elevation Suitability Classification .........................................................................169<br />
Table 128– Rapeseed Slope Suitability Classification..........................................................................................170<br />
Table 129– Rapeseed CSWI Suitability Classification.........................................................................................171<br />
Table 130– Rapeseed Suitability Index Score Classification in Non-Irrigated Scenario.....................................172<br />
Table 131– Rapeseed Suitability Classification in Non-Irrigated Scenario .........................................................173<br />
Table 132– Grain maize <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Irrigated Scenario........................................182<br />
Table 133– Grain maize <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID for Grain maize in Non-Irrigated Scenario.....183<br />
Table 134– S<strong>of</strong>t Wheat - Barley <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Non-Irrigated Scenario...................187<br />
Table 135– Durum Wheat <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Non-Irrigated Scenario ............................192<br />
Table 136– Tomato <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Non-Irrigated Scenario.......................................195<br />
Table 137– Tomato <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Irrigated Scenario ...............................................200<br />
Table 138– Sugar beet <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Non-Irrigated Scenario ..................................201<br />
Table 139– Sugar beet <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Irrigated Scenario...........................................204<br />
Table 140– Sunflower <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Non-Irrigated Scenario...................................206<br />
Table 141– Sunflower <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Irrigated Scenario ...........................................210<br />
Table 142– Soy Bean <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Non-Irrigated Scenario....................................212<br />
Table 143– Soy Bean <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Irrigated Scenario ............................................215<br />
Table 144– Rapeseed <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Non-Irrigated Scenario ....................................218<br />
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<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
Acknowledgments<br />
We would like to thank the JRC European Soil Bureau for providing the soil and pedological<br />
data necessary for crop zoning and especially Mr. Ezio Rusco for his advice.<br />
We are also grateful to Miss. C. Le Bas from INRA Orleans (France) for providing<br />
information on crop requirements in term <strong>of</strong> agro-pedo conditions and the ITA consortium<br />
(Aldo Giovacchini and Paolo Ragni) for providing point observations <strong>of</strong> crop yields for<br />
validation.<br />
Last but not the least we would like to thank Mr. G. Libertà (JRC-IES- LMU) for developing<br />
the WEB GIS interface and A. De Jager (JRC-IES-LMU) for providing Data Base<br />
management.<br />
1
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
Introduction<br />
The agricultural productivity <strong>of</strong> a geographical area is dependant on many factors – inherent<br />
soil and terrain characteristics, climatic constrains, human behavior and management, and<br />
cultural norms (Waltman et al., 1999).<br />
<strong>Agro</strong>-ecozones have been proposed as a practical framework to model and simplify the<br />
complexity <strong>of</strong> agro ecosystems (Bailey, 1996; Omernik, 1993; Waltman et al., 1999). They<br />
are traditionally defined as major climate zones with a certain growing period suitable for<br />
crops. With its soil, landscape, and climatic characteristics, an agro-ecozone can represent the<br />
environmental constraints and potential for new cropping systems, economic viability, and<br />
sustainability (Follet, 1996).<br />
A large number <strong>of</strong> methodologies and approaches were developed, by different projects, in<br />
the last years to evaluate the land suitability for crop production and to identify spatially<br />
homogenous agro-ecological zones (AEZ) (Fischer et al., 2002).<br />
The land suitability method developed by FAO (1976) provides a widely used framework for<br />
assessing the suitability for a specific use, based on expert knowledge. Bydekerke<br />
(Bydekerke et al.1998) and Le Bas (Le Bas and King, 1997) defined a procedure to attribute<br />
suitability classes to individual land units matching land and climate characteristics with the<br />
crop requirements using decision trees.<br />
Fischer (Fischer et al., 2002) provided a standardized framework for the characterization <strong>of</strong><br />
climate, soil and terrain conditions relevant to agricultural production, the AEZ matching<br />
procedure was used to identify crop-specific limitations <strong>of</strong> prevailing climate, soil and<br />
morphological parameters, under assumed levels <strong>of</strong> input and management conditions. This<br />
AEZ methodology uses land resources inventory to assess all feasible agricultural land-use<br />
options from specific management conditions and levels <strong>of</strong> inputs, and to quantify the<br />
expected production <strong>of</strong> relevant cropping activities.<br />
The GIS technology permitting to integrate, process, analyze and display digital spatial and<br />
non-spatial data, is widely used in the land suitability and zoning methodology applications.<br />
GIS can classify and display agro-pedo-climatic datasets and provide a valuable set <strong>of</strong> tools<br />
which allow the data to be transformed into information more useful for decision-making.<br />
This publication describes a Geographic Information System (GIS) -based agro-pedoclimatological<br />
zoning for <strong>Italy</strong> based on a matching methodology between climatic,<br />
pedologic and morphologic conditions and crop requirements.<br />
The different agro-pedo-climatological homogeneous zones were also classified in term <strong>of</strong><br />
suitability criteria for the specific crop.<br />
2
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
1 Methodology<br />
This chapter describes the methodology for the derivation <strong>of</strong> agro-pedo-climatological zones<br />
and the definition <strong>of</strong> suitability homogeneous zones. The methodology has been tested and<br />
validated for the whole territory <strong>of</strong> <strong>Italy</strong>.<br />
The zoning methodology was based on matching crop requirement parameters with<br />
meteorological, morphological and pedological conditions in a GIS environment, leading to:<br />
• The delineation <strong>of</strong> areas <strong>of</strong> homogeneous agro-pedo-climatic conditions,<br />
• The identification <strong>of</strong> crop-specific limitations for the prevailing climate, soil and<br />
terrain conditions;<br />
• The estimation <strong>of</strong> the potential and agronomical yield suitability for crops, under<br />
assumed normal level <strong>of</strong> input and management conditions, in irrigated and nonirrigated<br />
scenario.<br />
The following data, indices and parameters have been used for the geographic agro-pedoclimatological<br />
zoning <strong>of</strong> <strong>Italy</strong>. Thematic maps were developed for each <strong>of</strong> them.<br />
· <strong>Pedo</strong>logical parameters<br />
o Texture,<br />
o Available Water Capacity,<br />
o Soil Depth<br />
· Climatic indices specifically applied to crops:<br />
o Temperature Satisfaction Index during Germination Period –TSI<br />
o Frost Risk Index during development Period -FRI<br />
o Heat Stress Risk Index during development Period -HSRI<br />
o Thermal Satisfaction Index until Flowering Period -ThSI_TF<br />
o Thermal Satisfaction Index until Ripening Period – ThSI_TR<br />
o Vernalization Satisfaction Index during winter months – VSI<br />
o Flowering Temperature Satisfaction Index inside the crop specific the<br />
Flowering Period – FTSI<br />
· Crop Water Satisfaction Index (CWSI) combining soil and climate information<br />
· Morphological parameters<br />
o Elevation<br />
o Slope<br />
All maps were geo-referenced and elaborated using Arc View GIS (ESRI) s<strong>of</strong>tware, the maps<br />
in this report are in geographical coordinates (un-projected) except the output zoning maps<br />
which are projected in UTM 32.<br />
Parameters were classified based on relevant pedological and climatic criteria (described in<br />
the next paragraph).<br />
The approach used consists <strong>of</strong> defining homogeneous areas for different crops respectively<br />
based on agronomical, pedological, morphological and climatological suitability constraints.<br />
Then, geographic layers were combined to obtain a specific crop suitability map <strong>of</strong><br />
homogeneous zones for <strong>Italy</strong>.<br />
3
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
1.1 Data Sets<br />
The basic source materials used for spatial analysis <strong>of</strong> homogeneous zones were:<br />
• Crop Calendar Parameters: average date <strong>of</strong> sowing, germination, flowering and<br />
ripening for each crop region in <strong>Italy</strong>, this data area extrapolated for each culture from<br />
literature reported in bibliography (G. Narciso; 1992, J. Bignon; 1990, INRA 1995,<br />
Le Bas 1997)<br />
• <strong>Climatological</strong> Indices: are calculated from the JRC meteorological database. This<br />
database contains an historical series (1975-2002) <strong>of</strong> meteorological observations<br />
from 130 weather stations distributed throughout the country and interpolated into a<br />
regular grid <strong>of</strong> 50x50 km.<br />
• <strong>Pedo</strong>logical parameters: are derived from the digital version <strong>of</strong> the soil database <strong>of</strong><br />
<strong>Italy</strong> (scale, 1:250,000) elaborated by the JRC European Soil Bureau,<br />
• Morphological parameters: they consist <strong>of</strong> Slope and Elevation. Slope parameter is<br />
derived from the soil database <strong>of</strong> <strong>Italy</strong>, while Elevation is provided by the Digital<br />
Elevation Model (grid cell size resolution <strong>of</strong> 250m, height accuracy <strong>of</strong> 10m) coming<br />
from the Italian Geological Survey<br />
1.2 Crop Calendar in <strong>Italy</strong><br />
The matching procedure between climatic conditions and crops requirements needs in the<br />
first step information on the annual phenological calendar for each plant. The crop calendar<br />
defines the temporal characteristic <strong>of</strong> the different phenological stages <strong>of</strong> crops over Italian’s<br />
regions.<br />
For each region in <strong>Italy</strong> the average crop sowing decade and the occurrence <strong>of</strong> 3 principal<br />
phenological phases, crop germination, flowering and ripening was identified. The entire<br />
Italian territory was subdivided into three crop homogeneous zones: North, Centre and South.<br />
Figure 1 – Geographical zoning for crop calendar in <strong>Italy</strong><br />
4
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
From the crop calendar it was possible to define the length <strong>of</strong> 4 growth stages in which the<br />
following climatic indices were calculates.<br />
• TG= Length in days from Sowing to Germination<br />
• TF= Length in days from Sowing to Flowering<br />
• TR= Length in days from Flowering to Ripening<br />
• TTOT= Length in days from Sowing to Ripening<br />
• TA= Length in days <strong>of</strong> the Vernalization Period<br />
• TB= Length in days <strong>of</strong> the critical period inside the Flowering Period<br />
1.3 <strong>Climatological</strong> Index<br />
Weather is one <strong>of</strong> the key components controlling agricultural production. <strong>Agro</strong>meteorological<br />
indices are widely used in agriculture yield forecasting application, risk<br />
assessment <strong>of</strong> critical weather conditions (drought, heat stress, etc..) and in suitability<br />
evaluation; they have the ability to describe the meteorological conditions through a simple<br />
representative value. For example the risk <strong>of</strong> drought for a specific region can be described<br />
with the Palmer Drought Severity Index (Palmer, 1965), which is a soil moisture algorithm<br />
calibrated for relatively homogeneous regions or the Standardized Precipitation Index (SPI)<br />
(McKee 1995) based on the probability <strong>of</strong> precipitation for any time scale.<br />
A method for assessing the importance <strong>of</strong> the temperature variation for agriculture in an area<br />
was described by Houvila (Houvila, 1964) with a frost risk index based on the deviation <strong>of</strong><br />
the individual temperature from the mean value <strong>of</strong> the observations.<br />
In this study, climatic indices were defined to match crop agro-climatological requirements<br />
with climatic condition <strong>of</strong> the area <strong>of</strong> interest.<br />
The climatic indices were elaborated from daily meteorological data contained in the JRC<br />
meteo database, averaged over 25 years (resulting in 365 daily averaged values for each<br />
parameter).<br />
The meteorological data loaded in the JRC Database are collected from the Global<br />
Telecommunication System (GTS) <strong>of</strong> the World Meteorological Organization (WMO). The<br />
meteorological database contains information on the meteorological stations, daily<br />
meteorological observations and interpolated data. Meteorological data are: minimum and<br />
maximum temperature, rainfall, evapotranspiration calculated with the Penman formula<br />
(Penman 1948, 1956) and global radiation. Only stations that report at least this set <strong>of</strong><br />
variables on a daily basis are included in the database.<br />
Figure 2 presents the Italian part <strong>of</strong> the network <strong>of</strong> meteorological stations included in the<br />
meteorological database (about 130 stations).<br />
5
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
Figure 2– Meteorological Grid and Weather Stations for <strong>Italy</strong><br />
Temperature and evapotranspiration are interpolated from the existing network <strong>of</strong><br />
meteorological stations to the grid center consists <strong>of</strong> selecting an optimum set <strong>of</strong> stations and<br />
then averaging the value <strong>of</strong> observed data and attributing it to the grid. Rainfall is taken from<br />
the nearest station. Selection <strong>of</strong> the optimum set <strong>of</strong> stations is based on the following criteria:<br />
proximity to grid centre, similarity in altitude and distance to the coast, position in relation to<br />
climatic barriers (i.e. mountain ranges) and a regular configuration surrounding the grid<br />
center.<br />
6
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
1.3.1 Temperature Satisfaction index -TSI<br />
This index is obtained from the number <strong>of</strong> days with a daily average temperature equal to or<br />
greater than a crop specific satisfaction-temperature computed over the Crop Germination<br />
Period divided by the total number <strong>of</strong> day <strong>of</strong> the Germination Period.<br />
TSI is the percentage <strong>of</strong> the Crop Germination Period in which the daily average temperature<br />
is suitable for germination. It represents the Temperature Satisfaction Index for crop<br />
germination.<br />
1.3.2 Frost Risk Index FRI<br />
This index is obtained from the number <strong>of</strong> days with a daily minimum temperature equal to<br />
or greater than a crop specific frost-temperature computed over the total development period<br />
(TTOT from sowing to ripening) divided by the total number <strong>of</strong> days <strong>of</strong> the development<br />
period.<br />
FRI is the percentage <strong>of</strong> the total development period in which the daily average temperature<br />
is above crop specific frost-temperature and the risk <strong>of</strong> possible frost is low, it represents the<br />
Frost Index during the crop growing period.<br />
1.3.3 Heat Stress Risk Index - HSRI<br />
This index is obtained from the number <strong>of</strong> days with a daily average long term temperature<br />
equal to or less than a crop specific heat stress-temperature computed over the total<br />
development period (TTOT from sowing to ripening) divided by the total number <strong>of</strong> day <strong>of</strong><br />
the development period.<br />
HSRI is the percentage <strong>of</strong> the total development period with daily temperatures below crop<br />
specific heat stress-temperature and the risk <strong>of</strong> possible heat stress is low, it represents a Heat<br />
Stress Risk Index during the crop development period.<br />
1.3.4 Thermal Satisfaction Index -ThSI<br />
ThSi_TF and ThSI_TR indices are the cumulative sum <strong>of</strong> the average daily temperatures<br />
above a crop specific base temperature (temperature greater than a specific level), calculated<br />
respectively from sowing until flowering and from flowering until ripening period.<br />
ThSi_TF and ThSI_TR represent the cumulative thermal requirements during the two<br />
phenological period and they are used to compute the Thermal Satisfaction Index.<br />
7
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
1.3.5 Vernalization Satisfaction Index - VSI<br />
This index is obtained from the number <strong>of</strong> days with a daily average temperature between a<br />
crop specific lower and upper vernalization temperature computed during the crop<br />
vernalization period (winter months) divided by the total number <strong>of</strong> days <strong>of</strong> the Vernalization<br />
Period.<br />
VSI is the percentage <strong>of</strong> the Crop Vernalization Period in which the daily average<br />
temperature is within the interval defined by the lower and upper vernalization temperature<br />
and the risk <strong>of</strong> not having floral initiation is low.<br />
1.3.6 Flowering Temperature Satisfaction Index - FTSI<br />
This index is obtained from the number <strong>of</strong> days with a daily average temperature equal or<br />
greater than a crop specific flowering temperature computed during a crop specific subflowering<br />
period (critical decades for flowering divided by the total number <strong>of</strong> days <strong>of</strong> the<br />
period.<br />
The different indices described above were applied and adapted to each different crop <strong>of</strong><br />
interest and moreover were applied to crops only when appropriate (no VSI for spring and<br />
summer crops for example).<br />
1.4 <strong>Pedo</strong>logical data<br />
In order to compare soil and terrain conditions with specific crop requirements for optimum<br />
growth and production, soil and terrain characteristics were matched against specific crop<br />
requirements derived from agricultural experiments and literature review.<br />
The pedological and morphological data <strong>of</strong> <strong>Italy</strong> are extracted from the 1:250,000<br />
Georeferenced Soil database <strong>of</strong> Europe developed by the JRC European Soil Bureau (ESB).<br />
3 parameters were elaborated to build a map <strong>of</strong> homogeneous pedological zones:<br />
• Available Water Capacity (AWC): the amount <strong>of</strong> water available for the plant root<br />
zone<br />
• Soil Depth: the depth <strong>of</strong> the soil layer that permits the development <strong>of</strong> roots<br />
• Texture: particle size composition <strong>of</strong> the soil, based on the FAO classification<br />
triangle.<br />
The soil map <strong>of</strong> <strong>Italy</strong> presents information about AWC, Soil Depth and Texture for polygons<br />
with soilscapes suitable for agriculture.<br />
For the elaboration <strong>of</strong> the Italian Soil Database at 1:250,000, soils suitable for agriculture<br />
were surveyed (soil analysis) and information was attributed to polygons.<br />
Some polygons (white areas) <strong>of</strong> the soil map do not have pedological data due to insufficient<br />
number <strong>of</strong> sample points; they generally correspond to non agricultural areas.<br />
The number <strong>of</strong> polygons with available information on pedological parameters (AWC, Soil<br />
Depth and Texture) is 6422 and it represents the 67 % <strong>of</strong> total area <strong>of</strong> <strong>Italy</strong>.<br />
8
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
Figure 3 –Soil Map <strong>of</strong> <strong>Italy</strong> with pedological data<br />
9
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
1.4.3 Texture<br />
Texture refers to particle size or the relative amounts <strong>of</strong> sand, silt, and clay. These primary<br />
soil constituents play an important role in drainage, nutrient fertility, compactability,<br />
elasticity, freeze-thaw behavior, ground water recharge, adsorption <strong>of</strong> pollutants, and many<br />
other properties that are relevant to agriculture, suitability analysis and environmental<br />
purposes.<br />
The soil map <strong>of</strong> <strong>Italy</strong> has been classified in 6 different Texture classes, according to the Soil<br />
Map <strong>of</strong> European Communities Triangle (CEC, 1985).<br />
Table 3 –CEC Texture triangle<br />
12
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
TEXTURE CLASSES CLASSES Color Legend<br />
No Texture<br />
T0<br />
Coarse<br />
Medium<br />
Medium Fine<br />
Fine<br />
T1<br />
T2<br />
T3<br />
T4<br />
Very Fine<br />
T5<br />
Table 4 –Texture Classification<br />
Figure 6 – Soil Texture<br />
13
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
1.5 Morphology parameters<br />
1.5.1 Mean elevation<br />
For each polygon <strong>of</strong> the soil map, the mean elevation was calculated through a zonal statistic<br />
average by crossing the soil map with the Digital Elevation Model <strong>of</strong> <strong>Italy</strong>.<br />
The different values were sorted into 5 classes.<br />
MEAN ELEVATION CLASSES Color Legend<br />
0-150 m E1<br />
150-300 m E2<br />
300- 600 m E3<br />
600-1000 m E4<br />
>1000 m E5<br />
Table 5 –Elevation Classification<br />
Figure 7 –Elevation<br />
14
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
1.5.2 Slope<br />
The slope data were extracted from the Soil Map <strong>of</strong> <strong>Italy</strong> database, this parameter is<br />
elaborated from the Digital Elevation Model <strong>of</strong> <strong>Italy</strong>.<br />
SLOPE<br />
CLASS<br />
0-2 % SLOPE1<br />
Color<br />
Legend<br />
2-5 % SLOPE2<br />
5-8 % SLOPE3<br />
8-15 % SLOPE4<br />
15-30 % SLOPE5<br />
> 30 % SLOPE6<br />
Table 6 –Slope Classification<br />
Figure 8 –Slope<br />
15
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
1.6 Overlay analysis <strong>of</strong> Climatic zones and pedological units<br />
Since the soil information was the most accurate data layer in term <strong>of</strong> spatial resolution, the<br />
analysis was carried out on the spatial entity <strong>of</strong> the soil polygons. For this purpose, an overlay<br />
was made to cross the climate information to the soil information. For each polygon <strong>of</strong> the<br />
soil map, a climatic class was attributed, based on the majority area <strong>of</strong> the climate grid<br />
occurring in the soil polygon. This result in a soil map with each <strong>of</strong> its polygons characterized<br />
with unique grid <strong>of</strong> meteorological parameters.<br />
Figure 9 – Overlay <strong>of</strong> homogeneous climatic Zones with the Soil information<br />
16
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
1.7 Crop Water Satisfaction Index<br />
The Crop Water Satisfaction Index (CWSI) is an indicator <strong>of</strong> satisfaction <strong>of</strong> crop water<br />
requirements combining soil and meteo information. It is based on the availability <strong>of</strong> water to<br />
the crop during the growing season. FAO studies (Doorenbos and Pruitt, 1977) have shown<br />
that the CWSI is related to crop production.<br />
The CSWI summarizes the amount to which cumulative crop water requirements have been<br />
met during the growing period and it is evaluated through a simple mass balance equation<br />
(CSWB model, FAO 1986, Frere and Popov 1979) where the content <strong>of</strong> soil water is<br />
monitored in a bucket defined by the Available Water Content (AWC, defined by the Water<br />
Holding Capacity (WHC) <strong>of</strong> the soil and the rooting depth) and the crop specific<br />
evapotranspiration (Annex II).<br />
CWSI for a growing period is calculated as the percent ratio between the duration (number <strong>of</strong><br />
months) <strong>of</strong> the period with soil water content positive and the total duration <strong>of</strong> the growing<br />
period.<br />
In our case, it is calculated only for polygons with available pedological information on<br />
AWC.<br />
The water balance, or budget, <strong>of</strong> the specific crop is calculated in time increments (monthly<br />
in this case). The use <strong>of</strong> monthly time steps is a compromise between a good level <strong>of</strong><br />
accuracy in meteorological input and an excessive data processing for water balance<br />
computation. The equation used by CSWB model is derived from the standard mass balance<br />
equation and is simplified in:<br />
Si<br />
= Si<br />
−1<br />
+ Ra<br />
− ETm<br />
where Si=soil moisture reserve (defined by AWC) at the end <strong>of</strong> the i th time interval, Si-1 soil<br />
moisture reserve at the end <strong>of</strong> the previous i th time interval.<br />
The maximum crop evapotranspiration is defined as:<br />
ETm = Kc<br />
* PET<br />
Potential evapotranspiration (PET) is a climatic variable, i.e. it is the "water demand <strong>of</strong> the<br />
atmosphere", <strong>of</strong>ten referred to as water "requirement" <strong>of</strong> a conventional crop. Actual crops<br />
have different requirements, which are related to crop development - early stages require little<br />
water - and weather conditions (for example, dry and windy conditions increase water<br />
demand).<br />
PET for this study was calculated from daily meteorological data through the FAO-Penman<br />
equation.<br />
In order to estimate real crop water requirements, PET values must be corrected through the<br />
use <strong>of</strong> a crop coefficient (K c ). Values <strong>of</strong> K c higher than 1.0 (i.e. ET m >PET) mean well<br />
developed crops, while values <strong>of</strong> K c lower than 1.0 (i.e. ET m
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
Figure 10 – Kc Crop Coefficient for specific ET<br />
Figure 11 represents the evolution <strong>of</strong> soil water content for a specific polygon during the<br />
Grain maize growing period, in this case. We assumed initial soil moisture equal to the<br />
available water- capacity <strong>of</strong> the soil (AWC).<br />
Maize Water Balance for polygon n.1252<br />
160<br />
140<br />
120<br />
100<br />
Water balance in mm<br />
80<br />
60<br />
40<br />
20<br />
0<br />
1 2 3 4 5 6 7 8 9<br />
-20<br />
-40<br />
Month<br />
WS1 WS2 WS3 WS4 WS5 WS6 WS7 WS8 WS9<br />
150 150 150 118.984 76.668 12.323 -26.897 -23.3265 12.2145<br />
Figure 11 – Grain maize Monthly Water Balance for polygon n. 1252<br />
18
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
1.8 Suitability Criteria<br />
The different pedo-climatic parameters and indices are classified in terms <strong>of</strong> suitability<br />
criteria specific for each crop.<br />
The classification consists <strong>of</strong> 4 classes:<br />
• S1 Optimal Condition<br />
• S2 Sub-Optimal Condition<br />
• S3 Acceptable Condition<br />
• NS Non Suitable Condition<br />
1.9 Spatial Homogeneous <strong>Zoning</strong><br />
The spatial homogeneous zoning for a culture over <strong>Italy</strong> follows 3 criteria:<br />
1. Crop Suitability Index Score: The methodology consists in a scoring system in order<br />
to compute a Crop Suitability Index, which ranks all the previously described agropedo-climatological<br />
suitability indices. Despite the various indices used have not a<br />
linear response to crops yield the choice to apply a simple scoring system is justified<br />
on the basis that we are not deriving a physical value <strong>of</strong> crop suitability or yield but<br />
rather defining areas with homogeneous agro-pedo-climatological conditions. The<br />
scoring methodology assumes that all the different parameters, except the CWSI in<br />
Irrigated Scenario, have the same weight in the total suitability index. All the factors<br />
were reclassified according to the following tables:<br />
Crop Suitability Class for<br />
each parameters<br />
Crop Suitability Index Score<br />
S1 10<br />
S2 5<br />
S3 1<br />
NS -1000<br />
Table 7 –Suitability Scores<br />
19
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
For the CWSI were defined three Non-Suitable classes in irrigated scenario, to account the<br />
availability <strong>of</strong> meteorological water, the following suitability index scores were applied:<br />
Non Irrigated Scenario<br />
Crop Water Satisfaction<br />
Index –CWSI classification<br />
Crop Suitability Index Score<br />
S1 10<br />
S2 5<br />
S3 1<br />
NS -1000<br />
Irrigated Scenario<br />
Crop Water Satisfaction<br />
Index –CWSI classification<br />
Crop Suitability Index Score<br />
S1 20<br />
S2 15<br />
S3 10<br />
NS1 5<br />
NS2 3<br />
NS3 1<br />
Table 8 –Suitability Scores for CWSI index<br />
Finally, all agro-pedo-climatic scores were combined through a simple addition in order<br />
to determine the Crop Suitability Index (CSI). In particular two different scores were<br />
calculated, the first in Non-Irrigated Condition and the second in Irrigated condition:<br />
CSI_Non_Irrigated= Sum the suitability score <strong>of</strong> all above parameters (climate,<br />
pedology, morphology)<br />
CSI_Irrigated= The water constraint parameters were removed (not considered), so the<br />
Available Water Content and the CWSI Suitability Score were excluded from the final<br />
computation <strong>of</strong> the Crop Suitability Index<br />
The Crop Suitability Index was classified in four homogeneous suitability classes:<br />
Crop Suitability Index Classes<br />
S3 - Optimal Condition<br />
S2 - Sub-Optimal Condition<br />
S1 - Acceptable Condition<br />
NS - Non Suitable<br />
Table 9 –Crop Suitability Classification<br />
2. Definition <strong>of</strong> <strong>Agro</strong>-pedo-climatological homogeneous zones: This zoning is based<br />
on the determination <strong>of</strong> all possible pedological, climatological and morphological<br />
suitability classes in Irrigated and Non-Irrigated Scenario. All possible combinations<br />
that contain only one non suitable parameter class are classified as Non Suitable (NS)<br />
20
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
2 Discussion<br />
This paragraph discusses the results <strong>of</strong> the zoning methodology outputs for the crops <strong>of</strong><br />
interest: Grain maize, durum wheat, winter wheat, barley, tomato, soy bean, rapeseed, sugar<br />
beet.<br />
A detailed step-by-step description <strong>of</strong> the zoning results for each crop is reported in the<br />
annexes.<br />
The outputs consist in different zoning maps for each crop:<br />
• A Suitability Map where each zone is characterized in terms <strong>of</strong> potential crop<br />
suitability in non-irrigated and irrigated scenarios. The suitability score index for each<br />
zone is classified in the following four classes:<br />
o S1 Optimal Suitability – land having no limitation for the cultivation <strong>of</strong> a<br />
given crop;<br />
o S2 Sub-Optimal Suitability: land having only minor limitations that in<br />
aggregate are moderate and may reduce productivity only marginally<br />
o S3 Acceptable Suitability: land with limitations that in aggregate can be severe<br />
and as such reduce productivity significantly but cultivation is still possible.<br />
o NS Non Suitable: land with a major constraint for crops cultivation which is<br />
impossible (physically or economically) to remove.<br />
• An <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> Map where each zone is characterized with uniform<br />
suitability classes for each pedological, climatological and morphological parameters<br />
in Irrigated and Non-Irrigated Scenario. In this zoning map each class <strong>of</strong> polygon is<br />
characterized with uniform suitability classification <strong>of</strong> the entire set <strong>of</strong> pedological,<br />
climatological and morphological parameters. These agroecozones are geographic<br />
areas which share similar biophysical characteristic for crop production, such as soil,<br />
landscape, and climate, which define the potential for agricultural productivity in<br />
terms <strong>of</strong> suitability.<br />
The Grain maize suitability index score zoning map in non-irrigated scenario (figure 29)<br />
points out that only in a few number <strong>of</strong> polygons, concentrated in the north <strong>of</strong> <strong>Italy</strong>, the water<br />
requirement and the pedological characteristics (AWC) are satisfactory for Grain maize<br />
production without irrigation.<br />
In irrigated scenario (figure 27) the high values <strong>of</strong> suitability score index are principally<br />
located in the north <strong>of</strong> <strong>Italy</strong> where the pedological and meteorological condition are optimal<br />
for high Grain maize yield. However, for some zones located in the north <strong>of</strong> <strong>Italy</strong> (north <strong>of</strong><br />
the Udine Province), some polygons were found unsuitable for the soil depth condition (less<br />
than 50 cm) while the cultivation is present according to expert knowledge. Some<br />
verifications <strong>of</strong> the soil map for these polygons are underway.<br />
The map <strong>of</strong> agro-pedo-climatological zoning for Grain maize display 139 (figure 28) and 31<br />
(Figure 30) suitable classes respectively in the irrigated and non-irrigated scenarios.<br />
For s<strong>of</strong>t wheat, barley, durum wheat and rapeseed the suitability index score zoning map was<br />
developed only in the non-irrigated scenario (figures 43, 57, 139). The resulting maps are<br />
similar and they have an high potential suitability class (S1) that cover a large area <strong>of</strong> the<br />
Italian territory. The slight differences between the zoning maps are explained by a different<br />
phenological calendar while the pedological requirements are the same for all the crops.<br />
Rapeseed has a suitability more restricted to the north <strong>of</strong> <strong>Italy</strong> (Po Valley).<br />
21
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
The number <strong>of</strong> agro-pedo-climatological classes defined in non-irrigated scenario are 121<br />
(figure 44) for s<strong>of</strong>t-wheat and barley, 183 (figure 58) for durum wheat and 123 (figure 140)<br />
for rape.<br />
Sugar beet is a crop with high water requirement, the resulting suitability index score map<br />
(figure 86) in non-irrigated scenario displays only few suitable zones located in the north <strong>of</strong><br />
<strong>Italy</strong>. For the remaining areas, the potential suitability is possible only with irrigation.<br />
In irrigated scenario the suitability index score for sugar beet has higher values in the north<br />
(Emilia-Romagna and Piemonte flat areas), centre-west (Maremma – Toscana) and some<br />
areas in the south (Campania and Puglia), while the east coast is characterized by a suboptimal<br />
suitability value. The unsuitable zones are located in Puglia and north <strong>of</strong> Udine<br />
province where, as for Grain maize, the constraint <strong>of</strong> soil depth is applied.<br />
The maps <strong>of</strong> agro-pedo-climatological zoning for sugar beet display 108 (figure 91) and 25<br />
(Figure 89) classes respectively in the irrigated and non-irrigated scenarios.<br />
Sunflower (figure 103) and Soy bean (figure 120) have a large number <strong>of</strong> suitability zones in<br />
non-irrigated scenario, 81 agro-pedo-climatological zones for sunflower (figure 106) and 65<br />
agro-pedo-climatological zones for soy bean, with high suitability index score in the north <strong>of</strong><br />
<strong>Italy</strong> (Po valley). In irrigated (figure 107 for sunflower and figure 124 for soy bean) scenario,<br />
the non suitable zones are represented by steep and high land, while high potential suitability<br />
are located in Emilia Romagna, Torino Province, Toscana and Foggia Province.<br />
Sunflower has 189 agro-pedo-climatological zones (figure 108) while soy bean has 122 agropedo-climatological<br />
zones in irrigated scenario.<br />
A large part <strong>of</strong> north <strong>Italy</strong> Po Valley (with the exception <strong>of</strong> Piemonte) and some areas in<br />
Toscana, Campania, Lazio and Puglia are suitable for tomato (figure 69) production also in<br />
non-irrigated conditions and are characterized with high suitability index score.<br />
In irrigated scenario (figure 70) only few additional areas become suitable, in particular the<br />
entire Puglia Region; in fact the high thermal requirements cannot be satisfied in a vast area<br />
<strong>of</strong> the north-west and in some part <strong>of</strong> central Apennine.<br />
The number <strong>of</strong> agro-pedo-climatological zones defined in non-irrigated is 119 (figure 72)<br />
while 232in irrigated scenario (figure 74).<br />
22
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
3 Analysis <strong>of</strong> yield data from the AGRIT point survey<br />
3.1 Data used for the analysis<br />
The yield data come from the AGRIT ground surveys on a sample <strong>of</strong> points between 1997<br />
and 2001. They have been obtained by expert opinion on the field about 3 weeks before<br />
harvest. Therefore they do not take into account the meteorological events in the last<br />
phenological period. We cannot attribute a weight to each observation because we do not<br />
have sufficient information on the sampling method that has been used for the AGRIT yield<br />
survey. Yield values above 250 q/ha have been deleted, considered unreliable. There is a<br />
considerable number <strong>of</strong> very low yield values, including 21 zero values, but they have been<br />
kept as credible (diseases or other causes <strong>of</strong> total crop loss). Until now, it’s no possible to<br />
evaluate correctly the reliability <strong>of</strong> data provided from the ITA consortium. Actually these<br />
data are considered experimental and not used operationally for agricultural statistics.<br />
<strong>Pedo</strong>logical and climate information, as described above in this publication.<br />
A digital terrain model (DTM) with a resolution <strong>of</strong> 250m.<br />
Data <strong>of</strong> a specific yield survey for Grain maize in some areas <strong>of</strong> 5 provinces in northern <strong>Italy</strong>.<br />
AGRIT observations and ISTAT data by province<br />
Comparing the mean yield by province <strong>of</strong> the AGRIT observations with the ISTAT (Istituto<br />
Nazionale di Statistica) data (average for the available years 1997-2001) indicates that the<br />
correlation <strong>of</strong> both data sources is good, but not perfect, with some considerable<br />
disagreement for Grain maize. We can call this correlation “spatial consistency”. This means<br />
that in general terms AGRIT observations tend to be higher in the provinces in which ISTAT<br />
data give higher yields. All correlations are computed using the crop area <strong>of</strong> the province<br />
(ISTAT) as weight <strong>of</strong> each observation.<br />
Durum wheat 0.92<br />
Common wheat 0.89<br />
Grain maize 0.67<br />
Barley 0.86<br />
Table 10 – Spatial consistency between ISTAT data and AGRIT observations.<br />
To measure the consistency <strong>of</strong> the time evolution <strong>of</strong> the ISTAT data and the AGRIT<br />
observations, we have computed as a correlation <strong>of</strong> residuals:<br />
Time consistency = corr resid Istat<br />
resid<br />
where<br />
resid<br />
Istat, prov<br />
= yIstat,Pr<br />
ov,<br />
t<br />
−<br />
( )<br />
, Pr ov,<br />
y<br />
Istat,<br />
Pr ov<br />
Agrit,<br />
Pr ov<br />
and<br />
resid<br />
Agrit, prov<br />
= y<br />
Agrit,Pr<br />
ov,<br />
t<br />
−<br />
Durum wheat 0.07<br />
Common wheat 0.30<br />
Grain maize 0.06<br />
Barley 0.30<br />
Table 11 – Time consistency between ISTAT data and AGRIT observations.<br />
y<br />
Agrit,<br />
Pr ov<br />
Time consistency is much lower than spatial consistency between both data sources, i.e. the<br />
increase or decrease <strong>of</strong> yield from one year to the next is nearly not correlated. This low level<br />
23
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
24<br />
<strong>of</strong> consistency is difficult to interpret, and indicates that some prudence is needed to interpret<br />
the results obtained with these data. Such results will need further confirmation or rejection<br />
with a specific data collection. However, even if we have some doubts on the reliability <strong>of</strong> the<br />
AGRIT yield observations on georeferenced points, they are at the moment the only data we<br />
can use to validate the homogeneity <strong>of</strong> pedo-climatic zones.<br />
3.2 Grain maize analysis<br />
The areas considered as suitable for Grain maize cultivation roughly correspond with the<br />
areas where most yield data are observed, but 9% approximately <strong>of</strong> the observations fall on<br />
areas considered as non suitable by the soil map. However this does not mean that 9% <strong>of</strong> the<br />
cultivated Grain maize falls on such “non-suitable” areas (remember that weights could not<br />
be computed).<br />
There may be several reasons for that. The most likely reasons are scale and boundary<br />
accuracy, i.e. maize is cultivated in suitable patches that are too small to be reported in the<br />
soil map or near the borders between polygons and are incorrectly attributed to a different<br />
polygon, for example many <strong>of</strong> these observations fall on polygons labeled as “urban”.<br />
Anyway a less restrictive definition <strong>of</strong> “suitable soil” might be recommended.<br />
About 11% <strong>of</strong> the observations lye in polygons for which pedological data is not specified in<br />
the pedological map because but soil scientists consider that the available information is<br />
insufficient to attribute a reliable label to the polygon; such points are considered for this<br />
analysis as missing data.<br />
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Figure 12– Location <strong>of</strong> the AGRIT observations for Grain maize
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<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
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Figure 14– AGRIT observations with missing data in the soil map<br />
25
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
Basic description <strong>of</strong> the Grain maize yield data.<br />
We stress again that the absence <strong>of</strong> extrapolation weights for the sample units and the<br />
observation date prevent from considering the simple means as “valid statistical estimates”.<br />
However they provide interesting indications.<br />
The mean observed yield obviously changes from year to year and has a tendency to increase<br />
(technological trend). In spite <strong>of</strong> the significant inter-annual change, we can observe that the<br />
standard deviation <strong>of</strong> the yields in the same year is <strong>of</strong> the same order <strong>of</strong> the global standard<br />
deviation. This means that the spatial variability <strong>of</strong> yield is much larger than the time<br />
variability. The average <strong>of</strong> the yield data in polygons identified by the soil map as non<br />
suitable is much lower, as expected. The yield data in areas with missing data for suitability<br />
(generally missing soil data) is significantly higher. This suggests that an additional effort<br />
should be made to fill missing soil data.<br />
Year 1997 1998 1999 2000 2001 all<br />
all data N 2157 2073 1920 2665 2932 11741<br />
mean 82.4 82.4 88.1 92.8 90.5 87.7<br />
st. dev 32.2 30.7 26.7 31.2 37.8 32.7<br />
suitable N 1472 1435 1182 1779 1996 7864<br />
mean 85.1 85.5 90.9 95.9 95.7 91.2<br />
st. dev 29.9 28.6 25.8 28.7 33.3 30.1<br />
non suitable N 441 406 464 508 548 2367<br />
mean 70.3 68.7 77.6 76.7 61.9 70.9<br />
st. dev 35.6 33.4 27.8 36.7 41.4 36.0<br />
missing N 244 232 274 378 388 1516<br />
soil data mean 87.5 86.9 94.2 99.6 104.6 96.0<br />
st. dev 34.5 31.6 23.4 27.1 34.5 31.2<br />
Table 12 –AGRIT Grain maize yield data<br />
Four categories <strong>of</strong> soil depth have been defined in the zoning, but only 3 <strong>of</strong> them are<br />
represented: Very suitable (S1), Sufficient (S3), and non Suitable (NS). Means by soil depth<br />
class and region suggest that the link between soil depth and yield is rather irregular. This<br />
fact is confirmed by the results <strong>of</strong> the Analysis <strong>of</strong> Variance given below.<br />
26
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
Soil depth<br />
Region very suitable sufficient non suitable no data<br />
mean n mean n mean n mean n<br />
Abruzzo 60.4 232 56.7 180 55.0 1<br />
Basilicata 37.7 31 41.3 14 31.8 14<br />
Calabria 49.0 91 38.3 16 42.5 2 48.3 22<br />
Campania 43.9 855 31.4 137 41.3 13 41.6 118<br />
Emilia R. 90.4 807 84.9 68 72.6 22 74.5 2<br />
Friuli 126.3 166 125.0 369 117.2 178 117.5 88<br />
Lazio 84.9 302 67.2 58 78.1 119 85.3 60<br />
Liguria 68.3 3 65.0 1 40.0 1 55.0 1<br />
Lombardia 107.8 1013 112.3 881 109.3 90 111.9 525<br />
Marche 61.2 296 57.4 261 47.9 60 45.5 44<br />
Molise 40.1 318 51.3 17 26.8 18<br />
Piemonte 88.6 376 94.3 445 89.5 48 84.7 24<br />
Puglia 88.7 174 92.6 93 89.7 170 91.7 99<br />
Sardegna 83.3 37 73.0 5 75.9 5<br />
Sicilia 50.5 2 60.3 8 48.7 3 40.0 1<br />
Toscana 61.3 110 66.9 6 46.6 7 47.5 4<br />
Trentino<br />
A.A.<br />
58.0 11 55.0 2<br />
Umbria 71.5 483 70.9 18 74.2 6 62.5 33<br />
Val 72.5 1 67.7 5<br />
Ven 104.1 996 106.9 585 104.1 289 98.0 201<br />
Table 13 –soil depth analysis<br />
The link between yield and other soil characteristics is also irregular, but the link with<br />
elevation is more clear:<br />
elevation n obs mean yield<br />
0-100 m 6236 100.3<br />
100-200 m 2000 90.7<br />
200-300 m 1391 79.2<br />
300-500 m 1292 61.3<br />
>500 m 822 40.4<br />
Table 14 –elevation analysis<br />
27
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
Analysis <strong>of</strong> Variance (Analysis) – ANOVA -<strong>of</strong> the Grain maize yield data.<br />
The Analysis <strong>of</strong> Variance helps us to identify the degree <strong>of</strong> link between yield observations<br />
and categorical independent variables representing our information on soil, climate, altitude<br />
and administrative units. Many textbooks give good descriptions <strong>of</strong> ANOVA (see for<br />
example Arnold, 1981, Seber, 1984). Some care is needed when ANOVA is carried out with<br />
a computer package on an “unbalanced” data set, i.e. when the number <strong>of</strong> observations for<br />
different values <strong>of</strong> the independent variables is very irregular. The most usual algorithms for<br />
ANOVA are not applicable for data sets with a strongly unbalanced design. We have used the<br />
GLM procedure (General linear model) <strong>of</strong> the SAS (statistical s<strong>of</strong>tware) package, that<br />
provides a suitable algorithm for unbalanced ANOVA.<br />
The GLM procedure has been applied for the yield <strong>of</strong> maize using the following independent<br />
variables:<br />
• Region<br />
• Year<br />
• Soil depth<br />
• Soil texture<br />
• “Irrigation”: number <strong>of</strong> months that the crop would need to be irrigated, according to<br />
an agromet model.<br />
• Elevation.<br />
• Slope<br />
( reg) + f ( year) + f ( sdepth) + f ( stext + f ( irrig) + f ( elev) + f ( ) + ε<br />
Y i 1 2<br />
3<br />
4<br />
) 5<br />
6<br />
7<br />
= f<br />
slope<br />
The ANOVA results indicate which is the part <strong>of</strong> the yield variability that can be explained<br />
by each <strong>of</strong> the variables. The results presented here correspond to 10479 yield observations<br />
on points where soil data are available. We simplify the results here, focusing on two types <strong>of</strong><br />
statistics: the so-called type I and type III sum <strong>of</strong> squares (SS). The type I sum <strong>of</strong> squares<br />
assumes that the independent variables are introduced stepwise in the model; it indicates the<br />
part <strong>of</strong> variance that is explained by each variable excluding the variance that has been<br />
explained by variables introduced before; therefore it is order-dependent. The type III sum <strong>of</strong><br />
squares indicates the part <strong>of</strong> variance that is explained by each variable and is not explained<br />
by any <strong>of</strong> the other variables, thus it coincides with the type I sum <strong>of</strong> squares for the last<br />
variable introduced.<br />
We have introduced the Region as first variable and we can observe a big difference between<br />
the type I SS and the type III SS. For example the region can explain 60% <strong>of</strong> the total<br />
variance. 13.6% can be explained only by the region. The difference 60-13.6=46.4% can be<br />
explained by the region or by the other variables.<br />
The interpretation <strong>of</strong> the difference between type I and type III SS depends on the a priori<br />
assumptions <strong>of</strong> the zoning criteria: if we assume that the homogeneous zones must be inside<br />
administrative regions anyway, type I SS must be considered introducing the region as first<br />
independent variable in the ANOVA, but if we accept that homogeneous zones can straddle<br />
regional borders, different options can be considered.<br />
28
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
Region<br />
Degrees<br />
<strong>of</strong><br />
freedom<br />
type I SS %<br />
Type III SS<br />
%<br />
19 6712429 60.0 1523686 13.6<br />
Year 4 144598 1.3 121317 1.1<br />
Soil depth 2 10384 0.1 4135 0.0<br />
texture 2 859 0.0 4668 0.0<br />
Irrigation needed 7 128521 1.1 18332 0.2<br />
Elevation (5<br />
4 323791 2.9 149580 1.3<br />
classes)<br />
Slope 3 119113 1.1 119113 1.1<br />
total model 7439695 66.5<br />
Total SS 11178659<br />
Table 15 –ANOVA results for Grain maize<br />
Results suggest that after removing the strong variability by region, only the topography<br />
(elevation and slope) is able to explain a significant part <strong>of</strong> the yield variability. The interannual<br />
variability is also moderate.<br />
Several additional questions can be put, among which:<br />
How much the model is improved introducing provinces instead <strong>of</strong> regions?<br />
Which is the improvement with a finer partition <strong>of</strong> altitudes (12 intervals <strong>of</strong> 100 m, for<br />
example)?<br />
Introducing the province increases the % <strong>of</strong> variability explained from 66.5 to 69.1, hence<br />
there is still a noticeable, but not huge, variability between provinces in the same region.<br />
Introducing 12 intervals <strong>of</strong> altitude leaves the correlation index (r 2 ) practically unchanged<br />
(66.6% or 69.1% with regions or provinces). This suggests that estimating yield by provinces<br />
is reasonable, as well as making the difference among 4 intervals <strong>of</strong> elevation, while a much<br />
finer partition <strong>of</strong> altitudes is unnecessary. The best results were obtained with 5 elevation<br />
intervals with thresholds 100, 200, 300 and 500 meters (the threshold 500 m works slightly<br />
better than 600 m).<br />
The results are very similar excluding 729 values lower than 30 q/ha, that can be interpreted<br />
as “catastrophic event”, and too far from the concept <strong>of</strong> potential yield.<br />
29
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
3.3 Common wheat analysis.<br />
Yield observations <strong>of</strong> common wheat have been analysed, in order to assess if the<br />
conclusions reached for maize are valid for other crops. There are 8816 AGRIT observations<br />
linked to a polygon.<br />
The next parameters are considered:<br />
• Temperature Satisfaction Index - TSI,<br />
• Thermal Satisfaction Index at flowering-ThSI<br />
• Thermal Satisfaction Index at ripening - ThSI<br />
• Frost Risk Index - FRI,<br />
• Heat Stress Risk Index - HSRI<br />
• Soil depth<br />
• Soil texture<br />
• Elevation<br />
• Slope<br />
• Irrigation needed (water deficit).<br />
More than 96% <strong>of</strong> the observations are suitable for all meteorological variables, none <strong>of</strong> them<br />
fall in areas considered as non suitable for heat risk, and only 1 out pf 8816 falls in a polygon<br />
labelled as non suitable for frost risk. This shows that the choice <strong>of</strong> meteorological thresholds<br />
is consistent with the crop location (little crop area in “non suitable zones”), but the<br />
suitability might need to be subdivided into a larger number <strong>of</strong> values to improve the yield<br />
variability reduction. The behaviour <strong>of</strong> yield for different types <strong>of</strong> soil is consistent in general<br />
terms. For example for soil depth we get:<br />
ANOVA for common wheat<br />
soil depth n obs mean yield<br />
very good 7275 49.2<br />
sufficient 796 45.5<br />
Unsuitable 5 32.8<br />
No data 740 46.6<br />
Table 16 –Soil Depth test<br />
Some meteorological variables for which all or nearly all observations are in the same class<br />
are excluded from the analysis: Temperature satisfaction (1 observation non suitable), frost<br />
risk (1 observation non suitable) and heat risk (all observations suitable). Two observations<br />
with likely wrong yield values 177 and 278 q/ha have been removed. The rest <strong>of</strong> the values<br />
are below 100 q/ha.<br />
For common wheat the percentage <strong>of</strong> variance explained by the model is lower than for<br />
maize, but the main characteristics remain similar:<br />
Moderate inter-annual variation.<br />
A significant part <strong>of</strong> the variance corresponds to the difference <strong>of</strong> yield means by region.<br />
<strong>Pedo</strong>-climatological information gives little additional contribution after the region has been<br />
introduced as independent variable.<br />
Elevation is the physical parameter with the highest capacity <strong>of</strong> variance reduction.<br />
30
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
Region<br />
Degrees <strong>of</strong><br />
freedom<br />
Type I SS %<br />
Type III<br />
SS<br />
16 1107611 56.5 422894 21.6<br />
Year 4 16719 0.9 15067 0.8<br />
Soil depth 3 18826 1.0 2980 0.2<br />
texture 3 1344 0.1 2793 0.1<br />
Irrigation needed 3 4404 0.2 6344 0.3<br />
Thermal<br />
satisfaction 1 5242 0.3 881 0.0<br />
flowering<br />
Thermal satisf.<br />
ripen.<br />
1 24 0.0 327 0.0<br />
Elevation 4 62912 3.2 41294 2.1<br />
Slope 4 9763 0.5 9763 0.5<br />
total model 1226845 62.6<br />
total SS 1961174<br />
Table 17 –ANOVA results for common wheat<br />
For this table the elevation thresholds used were 100, 200, 300 and 500 m. The elevation is<br />
computed for the single point rather than an average for the polygon.<br />
Introducing the province instead <strong>of</strong> the region, the % <strong>of</strong> variance explained increases up to<br />
66.5%<br />
If we keep only region, year and elevation (5 classes), the proportion <strong>of</strong> variance explained is<br />
61.4% (65.6% using the province instead <strong>of</strong> the region). If we drop observations with a yield<br />
below 15 q/ha to be closer to the concept <strong>of</strong> potential yield, the shares <strong>of</strong> variance are very<br />
similar.<br />
%<br />
31
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
3.4 Barley analysis<br />
The zoning proposed for barley and the definition <strong>of</strong> the suitability variables is identical to<br />
the ones for common wheat and the conclusions are quite similar, although the part <strong>of</strong> the<br />
variance explained by the elevation is smaller, as illustrated in the table below, where the<br />
altitude is again classified into 5 classes with thresholds 100, 200, 300 and 500 m. Four<br />
observations with yield > 100 q/ha (between 168 and 320) are considered wrong and<br />
removed.<br />
Degrees<br />
<strong>of</strong><br />
freedom<br />
Type I<br />
SS<br />
%<br />
Type<br />
III SS<br />
Region 16 816392 48.5 489734 29.1<br />
Year 4 11865 0.7 11678 0.7<br />
Soil depth 3 12205 0.7 4297 0.3<br />
Soil texture 3 1600 0.1 1820 0.1<br />
Irrigation 3 1320 0.1 687 0.0<br />
Thermal<br />
satisfaction<br />
flowering<br />
Thermal<br />
satisfaction<br />
ripening<br />
%<br />
1 2023 0.1 7 0.0<br />
1 325 0.0 336 0.0<br />
Elevation 4 21557 1.3 21557 1.3<br />
867287 51.6<br />
total 1682315<br />
Table 18 –ANOVA results for barley<br />
3.5 Conclusions.<br />
This analysis was carried out with the only available set <strong>of</strong> georeferenced point yield<br />
observations covering most agricultural areas in <strong>Italy</strong>. These data have a limited reliability,<br />
mainly because the observations were made about three weeks before harvest. Therefore the<br />
validity <strong>of</strong> the conclusions drawn from this analysis needs to be confirmed (or not) with more<br />
reliable yield observations on points with known co-ordinates. However, even with this<br />
caution warning, several suggestions can be made:<br />
• Most <strong>of</strong> the yield variability explained by the available soil map seems to coincide<br />
with the variability explained by administrative units.<br />
• A number <strong>of</strong> yield observations fall in polygons for which soil data have not been<br />
reported because the information available is considered insufficient.<br />
• The altitude classified into 5 intervals with 100, 200, 300 and 500 meters has<br />
reasonable, although not extremely strong power to explain yield variability.<br />
If the results obtained so far are confirmed with ad-hoc data acquisitions, a first simple way<br />
<strong>of</strong> defining areas <strong>of</strong> homogeneous potential would be a partition <strong>of</strong> provinces subdivided into<br />
5 altitude classes. Further aggregations can be made to avoid zones that are too small or<br />
which contain a small agricultural area.<br />
32
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
4 Concluding Remarks<br />
In the course <strong>of</strong> this project, we have developed a methodology to derive potential<br />
homogeneous suitable zones for different annual crops by combining in a GIS environment<br />
pedological, morphological, meteorological and information on crop phenology.<br />
The zoning methodology has been applied to different crops over Italian territory and is based<br />
on matching the crop requirement parameters with meteorological, morphological and<br />
pedological conditions. This procedure identifies crop-specific limitations <strong>of</strong> prevailing<br />
climate, soil and terrain resources under normal farming practice and management conditions<br />
in irrigated and non-irrigated scenario.<br />
The methodology developed uses pedological soil database from the European Soil Bureau,<br />
climatological and morphological data available from JRC databases. The procedure was<br />
completely implemented inside a GIS-based modeling framework; the results are estimated<br />
by pedological polygon unit.<br />
The first output <strong>of</strong> agro-pedo-climatological zoning methodology consists <strong>of</strong> a delineation <strong>of</strong><br />
homogeneous areas characterized by the same environmental (agro, meteo and pedological<br />
characteristics) conditions for each crop <strong>of</strong> interest. Under the hypothesis <strong>of</strong> uniform crop<br />
management conditions, one can assume that each zone is characterized by a potential<br />
homogenous yield.<br />
The second output <strong>of</strong> the methodology, defines a suitability index that group several agropedo-climatological<br />
homogeneous zones in four classes <strong>of</strong> potential suitability: NS-Non<br />
Suitable, S1 High Suitable, S2 Suitable and S3- Acceptable. This suitability characterization<br />
is an indicator for clustering the zones in areas with a theoretical similar yield potential.<br />
During the development and the application <strong>of</strong> the zoning methodology several limitations <strong>of</strong><br />
the data were identified, we also suggest some improvements for the future:<br />
• Climate data were represented in a grid <strong>of</strong> 50 km, this resolution <strong>of</strong> meteo information<br />
is too low for a good representation <strong>of</strong> the spatial distribution <strong>of</strong> meteorological<br />
conditions. It is desirable to obtain more detailed meteorological data. A possible<br />
source could be from UCEA (Ufficio Centrale di Ecologia Agraria) which collects<br />
and manages data from a large number <strong>of</strong> weather stations and interpolates data in a<br />
grid <strong>of</strong> 30 km. An alternative approach could be the use <strong>of</strong> local area weather models<br />
that provide meteorological conditions on a grid from 5 to 30 km.<br />
• The climatic crop requirements were matched with several meteo climatic indices<br />
computed using long term averaged data over 25 years. In this way it was not possible<br />
to consider the annual variability <strong>of</strong> climatic events, like frost, heat stress or drought.<br />
Future developments <strong>of</strong> the zoning methodology should consider the use <strong>of</strong> daily data<br />
(not averaged) to take into account the inter annual variability <strong>of</strong> the weather during<br />
the crop development. Furthermore to improve the assessment <strong>of</strong> the inter-annual<br />
variability <strong>of</strong> the climatic conditions, long series (typically 100-500 years) <strong>of</strong> weather<br />
parameters could be simulated through the use <strong>of</strong> a stochastic weather generator,<br />
statistically trained on the 25 years <strong>of</strong> available observation. The advantage <strong>of</strong> such<br />
method lies in the quantification <strong>of</strong> probability <strong>of</strong> occurrence <strong>of</strong> a particular<br />
meteorological situation based on much longer climatic time series.<br />
• The polygon <strong>of</strong> pedological soil database is the basic unit <strong>of</strong> the zoning methodology.<br />
The spatial resolution (1:250,000) was considered accurate for the crops zoning<br />
activity, but for some pedological parameters, such as Soil Depth, some problems<br />
occurred and a verification is necessary using regional pedological information<br />
(Province <strong>of</strong> Udine, Puglia Region).<br />
33
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
The statistical validation highlighted some data deficiency in the statistical data sets, various<br />
sources <strong>of</strong> crop yields statistics were composed and crop yield are not consistent amongst<br />
themselves.<br />
An attempt at validation <strong>of</strong> the agro-pedo-climatological zones was done from AGRIT field<br />
measurements data but could not confirm the spatial homogeneous zones defined in this<br />
report.<br />
From the statistical analysis, most <strong>of</strong> the variance would be explained by the province and the<br />
elevation parameter. However, these findings should not be used before a proper validation is<br />
done using yield field measurements done by ISMEA in 2002 for Grain maize in 5 provinces<br />
<strong>of</strong> <strong>Italy</strong> (Ferrara, Mantova, Udine, Torino, Padova).<br />
Only after reliable field data are available for validation, definitive conclusions on the zoning<br />
methodology may be drawn.<br />
34
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
List <strong>of</strong> Acronyms<br />
ESB: European Soil Bureau<br />
ESRI: Environmental Systems Research Institute<br />
FAO: Food And Agriculture Organization Of The United Nations<br />
GIS: Geographic Information System<br />
GTS: Global Telecommunication System<br />
ISTAT: Istituto Nazionale di Statistica<br />
JRC: Joint Research Centre<br />
UCEA Ufficio Centrale di Ecologia Agraria<br />
UTM: Universal Transverse Mercator<br />
WMO: World Meteorological Organization<br />
35
<strong>Agro</strong> <strong>Pedo</strong> climatological zoning <strong>of</strong> <strong>Italy</strong><br />
Bibliography<br />
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regions. Societas Scientaruim Fennica, Commentationes Pysico-Mathematicaea XXIX, 22 pp<br />
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Communaute Europeenne pour optimiser les reseaux d’experimentation des varietes.<br />
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Environmental Monitoring. Joint Research Centre, Ispra, <strong>Italy</strong>. pp 286<br />
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using the 1:1000000-scale Soil Geographic Database <strong>of</strong> Europe. Proceedings <strong>of</strong> the<br />
international Conference on Geo-Information for Sustainable Land Management. Enschede,<br />
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EU agricultural space. Lauren and Bowler (eds.). Science update, INRA, Versailles, France.<br />
228 pp.<br />
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Preprints, 9th Conference on Applied Climatology, pp. 233–236. January 15–20, Dallas,<br />
Texas<br />
Meyer-Roux J., 2000, MARS Project, an overview, MARS Conference: 10 years <strong>of</strong> demanddriven<br />
technical support. Brussels, April 22-23, 1999, Office for Official Publications <strong>of</strong> the<br />
E.C. Luxembourg. pp 9-15.<br />
Mingqin L., Ashok S., 2002. A fuzzy clustering approach to delineate agroecozones.<br />
Ecological Modelling 149 (2002) 215-228<br />
Narciso G., Ragni P., Venturi A., 1992. <strong>Agro</strong>meteorological aspect <strong>of</strong> crops in <strong>Italy</strong>, Spain<br />
and Greece – A summary review for common and durum wheat, barley, maize, rice, sugar<br />
beet, sunflower, Soya bean, Rapeseed, potato, tobacco, cotton, olive and rapeseed crops. 1992<br />
JRC<br />
Omernik, J., 1993. “Ecoregions: a Spatial Framework for Environmental management”.<br />
USEPA, Environmental Research Laboratory, Corvallis, OR<br />
Palmer W.C. 1965. Meteorological drought. Research Paper No. 45, U.S. Department <strong>of</strong><br />
Commerce Weather Bureau, Washington, D.C<br />
Pennman H.L., 1948. Natural Evaporation from open water, bare soil and grass. Proceedings<br />
Royal Society, Series A 193:120-146<br />
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Pennman H.L., 1956. Evaporation: an introductory survey. Netherlands Journal <strong>of</strong><br />
Agricultural Science, 4:9-29<br />
Rijks D., Terres J.M., Vossen P., 1998. <strong>Agro</strong>meteorological applications for regional crop<br />
monitoring and production assessment. Joint research Centre, Ispra, <strong>Italy</strong>. EUR EN. 516 pp<br />
Rossiter D.G., Van Wambeke A.R., 1994. ALES version 4.1 user’s manual. Cornell<br />
University, Ithaca, NY, USA. 185 pp<br />
Seber G., 1984, Multivariate observations, Wiley<br />
Voet P. van der., Diepen C.A. van, Oude Voshaar J., 1993. Spatial interpolation <strong>of</strong> daily<br />
meteorological data: a knowledge based procedure for the regions <strong>of</strong> the European<br />
Communities. Report 53/3. The Winand Staring Centre, Wageningen, and the Joint Research<br />
Centre Ispra, <strong>Italy</strong><br />
Vossen P., Rijks D., 1995. Early crop yield assessment <strong>of</strong> the EU Countries: the system<br />
implemented by the Joint Research Centre., Joint Research Centre, Ispra, <strong>Italy</strong><br />
Waltman W.J., Mortensen D.A., Cassam K.G., et al., 1999. <strong>Agro</strong>ecozones <strong>of</strong> Nebraska:.<br />
<strong>Agro</strong>nomy Abstracts, Annual Meetings, ASA-CSAA-SSSA, Salt Lake City, UT<br />
39
Annexes<br />
Annex I: Crop <strong>Zoning</strong> Application<br />
40
Annex I - Grain maize <strong>Zoning</strong><br />
Grain maize in <strong>Italy</strong><br />
Grain maize (Zea mays L.) is one <strong>of</strong> the most spread crop, thanks to the easy way to cultivate,<br />
to the fast growth (only two months and a half) and to its adaptability: it can grow both in<br />
equatorial temperature and polar one, both at sea level and at 3.000-3.500 meters <strong>of</strong> heights.<br />
<strong>Italy</strong> is the second Eu producer after France, with more than 10 millions <strong>of</strong> tonnes, and a total<br />
area over 1 million <strong>of</strong> hectares, which is the 25% <strong>of</strong> the total Eu area. At regional level, 90%<br />
<strong>of</strong> grain maize area, is concentrated in 5 regions (Veneto, Lombardia, Piemonte, Friuli<br />
Venezia Giulia ed Emilia Romagna).<br />
In spite <strong>of</strong> the two varieties <strong>of</strong> maize, one white and one yellow, only the second one is<br />
cultivated and consumed in our Country.<br />
Growing Period in <strong>Italy</strong><br />
Spatial Zone Sowing Germination Flowering Ripening<br />
North II decade/April I decade /May III decade /July II decade /September<br />
Centre III decade/April I decade /May II decade /July I decade /September<br />
South-Islands I decade/May II decade /May II decade /July III decade /August<br />
Table 19 –Grain maize Calendar<br />
41
Annex I - Grain maize <strong>Zoning</strong><br />
Climatic Suitability Map<br />
Temperature Satisfaction Index -TSI<br />
The Grain maize Specific Satisfaction Temperature was fixed at 10 Cº.<br />
The Temperature Satisfaction Index (TSI) for Grain maize was classified in term <strong>of</strong><br />
suitability in the following classes:<br />
Suitability Classes TSI Color Legend<br />
S Suitable >=80 %<br />
NS Non Suitable
Annex I - Grain maize <strong>Zoning</strong><br />
Frost Risk Index -FRI<br />
The Grain maize specific Frost Temperature was assumed equal to 4 Cº.<br />
The Frost Risk Index (FRI) for Grain maize was classified in term <strong>of</strong> suitability in the<br />
following classes:<br />
Suitability Classes FRI_TG Color Legend<br />
S Suitable 100 %<br />
NS Non Suitable
Annex I - Grain maize <strong>Zoning</strong><br />
Heat Stress Risk Index -HSRI<br />
The Grain maize specific Heat Stress Temperature was assumed equal to 32 Cº.<br />
The Heat Stress Risk Index (HSRI) for Grain maize was classified in term <strong>of</strong> suitability in the<br />
following classes:<br />
Suitability Classes<br />
HSRI_TG<br />
Color Legend<br />
S 100 %<br />
NS
Annex I - Grain maize <strong>Zoning</strong><br />
Thermal Satisfaction Index - ThSI<br />
The Grain maize specific Base Temperature for this index was assumed equal to 6 Cº.<br />
The ThSI_TF (Flowering) and ThSI_TR (Ripening) Thermal Satisfaction Index (ThSI) for<br />
Maize until flowering and ripening period were classified in term <strong>of</strong> suitability in the<br />
following classes:<br />
Suitability Classes ThSI_TF Color Legend<br />
S1 Optimal<br />
>=1500 C°d<br />
S2 Sub-Optimal 1000-1500<br />
NS Non Suitable<br />
=1000 C°d<br />
S2 Sub-Optimal 800-1000<br />
NS Non Suitable<br />
Annex I - Grain maize <strong>Zoning</strong><br />
Figure 19– Grain maize ThSI Index Suitability Classification until Ripening Period<br />
46
Annex I - Grain maize <strong>Zoning</strong><br />
<strong>Pedo</strong>logical Suitability Criteria<br />
Soil Depth<br />
Suitability Classes Soil Depth Color Legend<br />
D1<br />
NS Non Suitable<br />
D2<br />
D3<br />
S3 Acceptable<br />
D4<br />
S1 Optimal<br />
D5<br />
Table 24– Grain maize Soil depth Suitability Classification<br />
Figure 20– Grain maize Soil depth Suitability Classification<br />
47
Annex I - Grain maize <strong>Zoning</strong><br />
Texture<br />
Suitability Classes TEXTURE Color Legend<br />
S3 Acceptable<br />
T1<br />
S2 Sub-Optimal<br />
S1 Optimal<br />
S2 Sub-Optimal<br />
T2<br />
T3<br />
T4<br />
NS Non Suitable<br />
T5<br />
Table 25– Grain maize Texture Suitability Classification<br />
Figure 21– Grain maize Texture Suitability Classification<br />
48
Annex I - Grain maize <strong>Zoning</strong><br />
Morphology Suitability Criteria<br />
Mean elevation<br />
Suitability Classes Mean Elevation Color Legend<br />
S1 Optimal<br />
E1<br />
S2 Sub Optimal<br />
E2<br />
S3 Acceptable<br />
E3<br />
NS Non Suitable<br />
E4<br />
E5<br />
Table 26– Grain maize Mean Elevation Suitability Classification<br />
Figure 22– Grain maize Mean Elevation Suitability Classification<br />
49
Annex I - Grain maize <strong>Zoning</strong><br />
Slope<br />
Suitability Classes Slope Color Legend<br />
S1 Optimal<br />
SLOPE1<br />
S2 Sub Optimal<br />
SLOPE2<br />
S3 Acceptable<br />
SLOPE3<br />
SLOPE4<br />
NS Non Suitable<br />
SLOPE5<br />
SLOPE6<br />
Table 27– Grain maize Slope Suitability Classification<br />
Figure 23– Grain maize Slope Suitability Classification<br />
50
Annex I - Grain maize <strong>Zoning</strong><br />
Crop Water Satisfaction Index Suitability<br />
The Crop Satisfaction Index for Grain maize was calculated following the methodology<br />
described in the paragraph 1.7, on the basis <strong>of</strong> value <strong>of</strong> Grain maize water requirements<br />
(Grain maize Kc equal to 0.4 from January until March, 1.10 from April until July, and 0.6<br />
from August until September), the CWSI Suitability classes were defined:<br />
CWSI Suitability Classes CWSI Color Legend<br />
S1 Optimal 100%<br />
S2 Sub-Optimal 86%<br />
S3 Acceptable 71%<br />
NS Non Suitable
Annex I - Grain maize <strong>Zoning</strong><br />
Suitably Index Score<br />
Non Irrigated Scenario<br />
Suitability Classes<br />
Suitability Index<br />
Score<br />
S3 0-40 0.42<br />
S2 40-50 1.6<br />
% Area Color Legend<br />
S1 50-70 6.8<br />
NS
Annex I - Grain maize <strong>Zoning</strong><br />
Irrigated Scenario<br />
Suitability Classes<br />
Suitability Index<br />
Score<br />
Area %<br />
S3 0-40 10.6<br />
Color Legend<br />
S2 40-60 34.2<br />
S1 60-80 7.47<br />
NS
Annex I - Grain maize <strong>Zoning</strong><br />
<strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong><br />
Non Irrigated Scenario<br />
Suitability Calsses Area % Color Legend<br />
S – Suitable 8.9<br />
NS – Non Suitable 91.1<br />
Table 31– Grain maize Suitability Classification in Non-Irrigated Scenario<br />
Figure 27– Grain maize Suitability Class in Non-Irrigated Scenario<br />
54
Annex I - Grain maize <strong>Zoning</strong><br />
The number <strong>of</strong> agro-pedo-climatologic zones identified for Grain maize in non-irrigated<br />
scenario is 31.<br />
Figure 28–Grain maize <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Non-Irrigated Scenario<br />
55
Annex I - Grain maize <strong>Zoning</strong><br />
Irrigated Scenario<br />
Suitability Classes Area % Color Legend<br />
S – Suitable 52.3<br />
NS – Non Suitable 47.7<br />
Table 32– Grain maize Suitability Classification in Irrigated Scenario<br />
Figure 29–Grain maize Suitability Class in Irrigated Scenario<br />
56
Annex I - Grain maize <strong>Zoning</strong><br />
The number <strong>of</strong> agro-pedo-climatologic zones identified for Grain maize in irrigated scenario<br />
is 139.<br />
Figure 30– Grain maize <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Irrigated Scenario<br />
57
Annex I - S<strong>of</strong>t Wheat - Barley<br />
S<strong>of</strong>t Wheat - Barley in <strong>Italy</strong><br />
S<strong>of</strong>t wheat (Triticum aestivum L.) is the most cultivated cereal in the world and it represents<br />
about the 40% <strong>of</strong> the world crop production, with 220 millions <strong>of</strong> hectares cultivated. It is a<br />
continental crop, and in <strong>Italy</strong> it spreads mainly in the Northern-Central regions. In the 90’s,<br />
the total area and production decreased both for the less specialization and for the decreasing<br />
<strong>of</strong> the Community aid, foreseen in the revision <strong>of</strong> the OMC. Today, for the production, the<br />
incidence <strong>of</strong> the sector on the Eu one is about the 3%. At regional level, Emilia Romagna has<br />
one third <strong>of</strong> the total Italian area, followed by Piemonte and Umbria, which has recorded the<br />
most decreasing. Concerning the varieties Serio is the most cultivated, and then Centauro and<br />
Mieti.<br />
Barely (Hordeum vulgare L.) is one <strong>of</strong> the most ancient cereals in the world. It grows also in<br />
little rich soils and it adapts to every climate, on the plain or on the mountain, thanks to the<br />
short vegetative cycle, which in some varieties is less then three months. <strong>Italy</strong> is not<br />
specialized for barely and the total area is 333 thousands <strong>of</strong> hectares, which is the 3% <strong>of</strong> Eu<br />
total area. The crop is spread in all the regions but mainly in the Southern ones.<br />
The most important varieties are: barely esastic, tetrastic and distic and, as the wheat, these<br />
varieties are divided in durum and s<strong>of</strong>t barely. The first one is for human consumption while<br />
the second one, (the distic barely) is for the malt production directed to the beer industry and<br />
to the whisky production.<br />
Growing Period in <strong>Italy</strong><br />
Spatial Zone Sowing Germination Flowering Ripening<br />
North II deca./October I deca. /November II deca. /May III deca /June<br />
Centre I deca./November II deca. / November II deca /May III deca /June<br />
South-Islands II deca./November III deca. / November III deca /April II deca /June<br />
Table 33 –S<strong>of</strong>t Wheat – Barley Calendar<br />
58
Annex I - S<strong>of</strong>t Wheat - Barley<br />
Climatic Suitability Map<br />
Temperature Satisfaction Index -TSI<br />
The S<strong>of</strong>t Wheat - Barley Specific Satisfaction Temperature was fixed at 2 Cº.<br />
The Temperature Satisfaction Index (TSI) for S<strong>of</strong>t Wheat - Barley was classified in term <strong>of</strong><br />
suitability in the following classes:<br />
Suitability Classes<br />
TSI<br />
S Suitable >=80 %<br />
Color<br />
Legend<br />
NS Non Suitable
Annex I - S<strong>of</strong>t Wheat - Barley<br />
Frost Risk Index -FRI<br />
The S<strong>of</strong>t Wheat - Barley specific Frost Temperature was assumed equal to -10 Cº.<br />
The Frost Risk Index (FRI) S<strong>of</strong>t Wheat -Barley was classified in term <strong>of</strong> suitability in the<br />
following classes:<br />
Suitability Classes<br />
FRI_TG<br />
S Suitable 100 %<br />
Color<br />
Legend<br />
NS Non Suitable
Annex I - S<strong>of</strong>t Wheat - Barley<br />
Heat Stress Risk Index -HSRI<br />
The S<strong>of</strong>t Wheat - Barley specific Heat Stress Temperature was assumed equal to 32 Cº.<br />
The Heat Stress Risk Index (HSRI) S<strong>of</strong>t Wheat -Barley was classified in term <strong>of</strong> suitability in<br />
the following classes:<br />
Suitability Classes<br />
HSRI_TG<br />
S 100 %<br />
Color<br />
Legend<br />
NS
Annex I - S<strong>of</strong>t Wheat - Barley<br />
Thermal Satisfaction Index - ThSI<br />
The S<strong>of</strong>t Wheat - Barley specific Base Temperature for this index was assumed equal to 0 Cº.<br />
The ThSI_TF and ThSI_TR Thermal Satisfaction Index (ThSI) for S<strong>of</strong>t Wheat - Barley until<br />
flowering and ripening period were classified in term <strong>of</strong> suitability in the following classes:<br />
Suitability Classes<br />
S Suitable<br />
NS Non Suitable<br />
Suitability Classes<br />
S Suitable<br />
ThSI_TF<br />
>=1250 C°d<br />
=900 C°d<br />
Color<br />
Legend<br />
Color<br />
Legend<br />
NS Non Suitable<br />
Annex I - S<strong>of</strong>t Wheat - Barley<br />
Figure 35– S<strong>of</strong>t Wheat – Barley ThSI Index Suitability Classification until Ripening Period<br />
63
Annex I - S<strong>of</strong>t Wheat - Barley<br />
Vernalization Satisfaction Index - VSI<br />
The S<strong>of</strong>t Wheat - Barley specific Vernalization Satisfaction Temperature is between -1 and<br />
12 Cº.<br />
The Vernalization period for S<strong>of</strong>t Wheat – Barley is fixed from germination to the end <strong>of</strong> first<br />
decade in February.<br />
The Vernalization Satisfaction Index (VSI) for S<strong>of</strong>t Wheat - Barley was classified in term <strong>of</strong><br />
suitability in the following classes:<br />
Suitability Classes<br />
TSI<br />
Color Legend<br />
S Suitable >=90 %<br />
NS Non Suitable
Annex I - S<strong>of</strong>t Wheat - Barley<br />
<strong>Pedo</strong>logical Suitability Criteria<br />
Soil Depth<br />
Suitability Classes Soil Depth Color Legend<br />
NS Non Suitable<br />
D1<br />
D2<br />
S3 Acceptable<br />
D3<br />
D4<br />
S1 Optimal<br />
D5<br />
Table 39– S<strong>of</strong>t Wheat – Barley Soil depth Suitability Classification<br />
Figure 37– S<strong>of</strong>t Wheat – Barley Soil depth Suitability Classification<br />
65
Annex I - S<strong>of</strong>t Wheat - Barley<br />
Texture<br />
Suitability Classes TEXTURE Color Legend<br />
S3 Acceptable<br />
T1<br />
S2 Sub-Optimal<br />
S1 Optimal<br />
S1 Optimal<br />
T2<br />
T3<br />
T4<br />
NS Non Suitable<br />
T5<br />
Table 40– S<strong>of</strong>t Wheat – Barley Texture Suitability Classification<br />
Figure 38– S<strong>of</strong>t Wheat – Barley Texture Suitability Classification<br />
66
Annex I - S<strong>of</strong>t Wheat - Barley<br />
Morphology Suitability Criteria<br />
Mean elevation<br />
Suitability Classes Mean Elevation Color Legend<br />
S1 Optimal<br />
E1<br />
E2<br />
E3<br />
S2 Sub Optimal<br />
E4<br />
NS Non Suitable<br />
E5<br />
Table 41– S<strong>of</strong>t Wheat – Barley Mean Elevation Suitability Classification<br />
Figure 39– S<strong>of</strong>t Wheat – Barley Mean Elevation Suitability Classification<br />
67
Annex I - S<strong>of</strong>t Wheat - Barley<br />
Slope<br />
Suitability Classes Slope Color Legend<br />
S1 Optimal<br />
SLOPE1<br />
SLOPE2<br />
SLOPE3<br />
S2 Sub Optimal<br />
SLOPE4<br />
S3 Acceptable<br />
SLOPE5<br />
NS Non Suitable<br />
SLOPE6<br />
Table 42– S<strong>of</strong>t Wheat – Barley Slope Suitability Classification<br />
Figure 40– S<strong>of</strong>t Wheat - Barley Slope Suitability Classification<br />
68
Annex I - S<strong>of</strong>t Wheat - Barley<br />
Crop Water Satisfaction Index Suitability<br />
The Crop Satisfaction Index for S<strong>of</strong>t Wheat - Barley was calculated following the<br />
methodology described in the paragraph 1.7, on the basis <strong>of</strong> value <strong>of</strong> S<strong>of</strong>t Wheat - Barley<br />
water requirements (S<strong>of</strong>t Wheat - Barley Kc equal to 0.4 from January until March, 1.10 from<br />
April until May, and 0.4 until June ), the CWSI Suitability classes were defined:<br />
Suitability Classes CWSI Color Legend<br />
S1 Optimal 100-83%<br />
S2 Sub-Optimal 83-67%<br />
S3 Acceptable 67-50%<br />
NS Non Suitable
Annex I - S<strong>of</strong>t Wheat - Barley<br />
Suitably Index Score<br />
Non Irrigated Scenario<br />
Suitability Classes Suitability Index Score % Area Color Legend<br />
S3 0-30 6<br />
S2 30-40 32<br />
S1 40-50 35<br />
NS
Annex I - S<strong>of</strong>t Wheat - Barley<br />
<strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong><br />
Non Irrigated Scenario<br />
Suitability Classes Area % Color Legend<br />
S – Suitable 73<br />
NS – Non Suitable 27<br />
Table 45– S<strong>of</strong>t Wheat - Barley Suitability Classification in Non-Irrigated Scenario<br />
Figure 43– S<strong>of</strong>t Wheat - Barley Suitability Class in Non-Irrigated Scenario<br />
71
Annex I - S<strong>of</strong>t Wheat - Barley<br />
The number <strong>of</strong> agro-pedo-climatologic zones identified for S<strong>of</strong>t Wheat - Barley in nonirrigated<br />
scenario is 155.<br />
Figure 44–S<strong>of</strong>t Wheat - Barley Suitable <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Non-Irrigated Scenario<br />
72
Annex I - Durum Wheat<br />
Durum Wheat in <strong>Italy</strong><br />
Durum wheat (Triticum durum) is a crop developed till 60’s mainly in the South <strong>of</strong> <strong>Italy</strong>,<br />
because <strong>of</strong> its drought and hot - resistant. In the last 20 years, durum wheat has spread also in<br />
the Centre-North regions, since the introduction <strong>of</strong> new varieties cold –resistant. Today, <strong>Italy</strong><br />
is the main Eu producer, with the 44% <strong>of</strong> the total Eu area. Coming into force <strong>of</strong> the CAP<br />
reform, - MacSharry ’92 and Agenda 2000, ’99 – it helped to increase this position, because<br />
against the decreasing <strong>of</strong> the total area cultivated to wheat in complex in all Eu, <strong>Italy</strong> has<br />
become more specialized towards durum wheat. So the area to durum wheat was stable for all<br />
the 90’s while the area to s<strong>of</strong>t wheat decreased. At regional level, Puglia is the more<br />
specialized region, followed by Sicilia and Basilicata. Among the Centre-North regions,<br />
Toscana, Marche and Lazio are the most important. Concerning the varieties Simeto is the<br />
most cultivated, and then Duilio, Arcangelo and Creso.<br />
Growing Period in <strong>Italy</strong><br />
Spatial Zone Sowing Germination Flowering Ripening<br />
North III deca./October II deca. /November I deca. /May III deca /June<br />
Centre III deca./November I deca. / December I deca /May II deca /June<br />
South-Islands I deca./December III deca. / December II deca /April I deca /June<br />
Table 46 –Durum Wheat Calendar<br />
73
Annex I - Durum Wheat<br />
Climatic Suitability Map<br />
Temperature Satisfaction Index -TSI<br />
The Durum Wheat Specific Satisfaction Temperature was fixed at 3 Cº.<br />
The Temperature Satisfaction Index (TSI) for Durum Wheat was classified in term <strong>of</strong><br />
suitability in the following classes:<br />
Suitability Classes TSI Color Legend<br />
S Suitable >=80 %<br />
NS Non Suitable
Annex I - Durum Wheat<br />
Frost Risk Index -FRI<br />
The Durum Wheat specific Frost Temperature was assumed equal to -8 Cº.<br />
The Frost Risk Index (FRI) for Durum Wheat was classified in term <strong>of</strong> suitability in the<br />
following classes:<br />
Suitability Classes FRI_TG Color Legend<br />
S Suitable 100 %<br />
NS Non Suitable
Annex I - Durum Wheat<br />
Heat Stress Risk Index -HSRI<br />
The Durum Wheat specific Heat Stress Temperature was assumed equal to 32 Cº.<br />
The Heat Stress Risk Index (HSRI) for Durum Wheat was classified in term <strong>of</strong> suitability in<br />
the following classes:<br />
Suitability Classes HSRI_TG Color Legend<br />
S 100 %<br />
NS
Annex I - Durum Wheat<br />
Thermal Satisfaction Index - ThSI<br />
The Durum Wheat specific Base Temperature for this indices were assumed equal to 0 Cº.<br />
The ThSI_TF and ThSI_TR Thermal Satisfaction Index (ThSI) for Durum Wheat until<br />
flowering and ripening period were classified in term <strong>of</strong> suitability in the following classes:<br />
Suitability Classes ThSI_TF Color Legend<br />
S Suitable<br />
NS Non Suitable<br />
>=1250 C°d<br />
=700 C°d<br />
Annex I - Durum Wheat<br />
Figure 49– Durum Wheat ThSI Index Suitability Classification until Ripening Period<br />
78
Annex I - Durum Wheat<br />
Flowering Temperature Satisfaction Index - FTSI<br />
The Durum Wheat Specific Flowering Satisfaction Temperature was fixed at 8 Cº.<br />
The Flowering Temperature Satisfaction Index (FTSI) for Durum Wheat was classified in<br />
term <strong>of</strong> suitability in the following classes:<br />
Suitability Classes<br />
FTSI_TB<br />
Color Legend<br />
S1 Optimal >90%<br />
S2 Sub-Optimal 60-90%<br />
NS Non Suitable
Annex I - Durum Wheat<br />
<strong>Pedo</strong>logical Suitability Criteria<br />
Soil Depth<br />
Suitability Classes Soil Depth Color Legend<br />
NS Non Suitable<br />
D1<br />
D2<br />
S3 Acceptable<br />
D3<br />
D4<br />
S1 Optimal<br />
D5<br />
Table 52– Durum Wheat Soil depth Suitability Classification<br />
Figure 51– Durum Wheat Soil depth Suitability Classification<br />
80
Annex I - Durum Wheat<br />
Texture<br />
Suitability Classes TEXTURE Color Legend<br />
S3 Acceptable<br />
T1<br />
S2 Sub-Optimal<br />
S1 Optimal<br />
S1 Optimal<br />
T2<br />
T3<br />
T4<br />
NS Non Suitable<br />
T5<br />
Table 53– Durum Wheat Texture Suitability Classification<br />
Figure 52- Durum Wheat Texture Suitability Classification<br />
81
Annex I - Durum Wheat<br />
Morphology Suitability Criteria<br />
Mean elevation<br />
Suitability Classes Mean Elevation Color Legend<br />
S1 Optimal<br />
E1<br />
E2<br />
E3<br />
S2 Sub Optimal<br />
E4<br />
NS Non Suitable<br />
E5<br />
Table 54– Durum Wheat Mean Elevation Suitability Classification<br />
Figure 53– Durum Wheat Mean Elevation Suitability Classification<br />
82
Annex I - Durum Wheat<br />
Slope<br />
Suitability Classes Slope Color Legend<br />
S1 Optimal<br />
SLOPE1<br />
SLOPE2<br />
SLOPE3<br />
S2 Sub Optimal<br />
SLOPE4<br />
S3 Acceptable<br />
SLOPE5<br />
NS Non Suitable<br />
SLOPE6<br />
Table 55– Durum Wheat Slope Suitability Classification<br />
Figure 54– Durum Wheat Slope Suitability Classification<br />
83
Annex I - Durum Wheat<br />
Crop Water Satisfaction Index Suitability<br />
The Crop Satisfaction Index for Durum Wheat was calculated following the methodology<br />
described in the paragraph 1.7, on the basis <strong>of</strong> value <strong>of</strong> Durum Wheat water requirements<br />
(Durum Wheat Kc equal to 0.4 from January until March, 1.10 from April until May, and 0.4<br />
until June ), the CWSI Suitability classes were defined:<br />
Suitability Classes CWSI Color Legend<br />
S1 Optimal 100-83%<br />
S2 Sub-Optimal 83-67%<br />
S3 Acceptable 67-50%<br />
NS Non Suitable
Annex I - Durum Wheat<br />
Index Score<br />
Non Irrigated Scenario<br />
Suitability Classes Suitability Index Score % Area Color Legend<br />
S3 0-40 5<br />
S2 40-50 25<br />
S1 50-60 22<br />
NS
Annex I - Durum Wheat<br />
<strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong><br />
Non Irrigated Scenario<br />
Suitability Classes Area % Color Legend<br />
S – Suitable 52<br />
NS – Non Suitable 48<br />
Table 58– Durum Wheat Suitability Classification in Non-Irrigated Scenario<br />
Figure 57 – Durum Wheat Suitability Class in Non-Irrigated Scenario<br />
86
Annex I - Durum Wheat<br />
The number <strong>of</strong> agro-pedo-climatologic zones identified for S<strong>of</strong>t Wheat - Barley in nonirrigated<br />
scenario is 230.<br />
Figure 58–Durum Wheat <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Non-Irrigated Scenario<br />
87
Annex I - Tomato<br />
Tomato in <strong>Italy</strong><br />
Tomato (Lycopersicon lycopersicum) is a crop coming from South America and it was<br />
cultivated in Europe for a long time as an ornamental plant, because the fruits were<br />
considered inedible. At the beginning <strong>of</strong> XIX century the intensive cultivation the tomato<br />
processing started.<br />
It’s a crop for temperate-hot climate and it adapts to all soils but it needs water during the hot<br />
season. Tomato is spread in all over our country but it is mainly cultivated in Puglia, Emilia<br />
Romagna, Sicilia, Calabria and Campania. Tomato is distinguished according to the<br />
destination: tomato for human consumption and tomato for processing into peeled, puree,<br />
juices. The varieties for human consumption have round-globular fruits, <strong>of</strong> different size, and<br />
the most spread varieties are: Marmande, Money Marker, Early Pack and some hybrid as<br />
Montecarlo and Fandango.The varieties direct to peeled tomato production have cylindrical<br />
fruits and the most famous is San Marzano.The varieties direct to puree tomato production<br />
have square- long fruits and the most famous are: Petomech, Indo, Missouri, Roma, Rio<br />
Grande.<br />
In <strong>Italy</strong>, the cultivation has a long tradition and <strong>Italy</strong> is the third producer in the world for<br />
production and exportation and the first producer in Eu. It produces over the 40% <strong>of</strong> the<br />
European production (about 6.400 tonnes) with area <strong>of</strong> 123 thousands hectares, that is the<br />
50% <strong>of</strong> the total European Union area.<br />
Growing Period in <strong>Italy</strong><br />
Spatial Zone Sowing Germination Flowering Ripening<br />
North II deca./May III deca. /May III deca. /June III deca /July<br />
Centre III deca./April I deca. / May II deca /June III deca /July<br />
South-Islands I deca./April II deca. / April I deca /June III deca /July<br />
Table 59 –Tomato Calendar<br />
88
Annex I - Tomato<br />
Climatic Suitability Map<br />
Temperature Satisfaction Index -TSI<br />
The Tomato Specific Satisfaction Temperature was fixed at 12 Cº.<br />
The Temperature Satisfaction Index (TSI) for Tomato was classified in term <strong>of</strong> suitability in<br />
the following classes:<br />
Suitability Classes TSI Color Legend<br />
S Suitable >=70 %<br />
NS Non Suitable
Annex I - Tomato<br />
Frost Risk Index -FRI<br />
The Tomato specific Frost Temperature was assumed equal to 7 Cº.<br />
The Frost Risk Index (FRI) for Tomato was classified in term <strong>of</strong> suitability in the following<br />
classes:<br />
Suitability Classes FRI_TG Color Legend<br />
S Suitable 70 %<br />
NS Non Suitable
Annex I - Tomato<br />
Heat Stress Risk Index -HSRI<br />
The Tomato specific Heat Stress Temperature was assumed equal to 30 Cº.<br />
The Heat Stress Risk Index (HSRI) for Tomato was classified in term <strong>of</strong> suitability in the<br />
following classes:<br />
Suitability Classes HSRI_TG Color Legend<br />
S 100 %<br />
NS
Annex I - Tomato<br />
Thermal Satisfaction Index - ThSI<br />
The Tomato specific Base Temperature for this indices were assumed equal to 12 Cº.<br />
The ThSI_TF and ThSI_TR Thermal Satisfaction Index (ThSI) for Tomato until flowering<br />
and ripening period were classified in term <strong>of</strong> suitability in the following classes:<br />
Suitability Classes ThSI_TF Color Legend<br />
S1 Optimal Suitable<br />
>=1100 C°d<br />
S2 Sub-Optimal Suitable 960-1100<br />
NS Non Suitable<br />
=1350 C°d<br />
S2 Sub-Optimal Suitable 940-1350<br />
NS Non Suitable<br />
Annex I - Tomato<br />
Figure 63– Tomato ThSI Index Suitability Classification until Ripening Period<br />
93
Annex I - Tomato<br />
<strong>Pedo</strong>logical Suitability Criteria<br />
Soil Depth<br />
Suitability Classes Soil Depth Color Legend<br />
NS Non Suitable<br />
D1<br />
D2<br />
S3 Acceptable<br />
D3<br />
D4<br />
S1 Optimal<br />
D5<br />
Table 64– Tomato Soil depth Suitability Classification<br />
Figure 64– Tomato Soil depth Suitability Classification<br />
94
Annex I - Tomato<br />
Texture<br />
Suitability Classes TEXTURE Color Legend<br />
S2 Sub-Optimal<br />
S1 Optimal<br />
S2 Sub-Optimal<br />
T1<br />
T2<br />
T3<br />
S3 Acceptable<br />
T4<br />
S3 Acceptable<br />
T5<br />
Table 65– Tomato Texture Suitability Classification<br />
Figure 65- Tomato Texture Suitability Classification<br />
95
Annex I - Tomato<br />
Morphology Suitability Criteria for Tomato<br />
Mean elevation<br />
Suitability Classes Mean Elevation Color Legend<br />
E1<br />
S1 Optimal<br />
E2<br />
S3 Acceptable<br />
E3<br />
E4<br />
NS Non Suitable<br />
E5<br />
Table 66– Tomato Mean Elevation Suitability Classification<br />
Figure 66– Tomato Mean Elevation Suitability Classification<br />
96
Annex I - Tomato<br />
Slope<br />
Suitability Classes Slope Color Legend<br />
S1 Optimal<br />
SLOPE1<br />
SLOPE2<br />
S2 Sub Optimal<br />
SLOPE3<br />
S3 Acceptable<br />
SLOPE4<br />
SLOPE5<br />
NS Non Suitable<br />
SLOPE6<br />
Table 67– Tomato Slope Suitability Classification<br />
Figure 67– Tomato Slope Suitability Classification<br />
97
Annex I - Tomato<br />
Crop Water Satisfaction Index Suitability<br />
The Crop Satisfaction Index for Tomato was calculated following the methodology described<br />
in the paragraph 1.7@, on the basis <strong>of</strong> value <strong>of</strong> Tomato water requirements (tomato Kc equal<br />
to 0.4 in April, 1.10 from May until June, and 0.8 until July ), the CWSI Suitability classes<br />
were defined:<br />
Suitability Classes CWSI Color Legend<br />
S1 Optimal 100-83%<br />
S2 Sub-Optimal 83-67%<br />
S3 Acceptable 67-50%<br />
NS Non Suitable
Annex I - Tomato<br />
Suitably Index Score<br />
Non Irrigated Scenario<br />
Suitability Classes Suitability Index Score % Area Color Legend<br />
S3 0-40 6.5<br />
S2 40-50 8.8<br />
S1 50-65 20.39<br />
NS
Annex I - Tomato<br />
Irrigated Scenario<br />
Suitability Classes Suitability Index Score % Area Color Legend<br />
S3 0-40 5.3<br />
S2 40-55 20.1<br />
S1 55-75 28.3<br />
NS
Annex I - Tomato<br />
<strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> for Tomato<br />
Non Irrigated Scenario<br />
Suitability Classes Area % Color Legend<br />
S – Suitable 35.8<br />
NS – Non Suitable 64.2<br />
Table 71– Tomato Suitability Classification in Non-Irrigated Scenario<br />
Figure 71 – Tomato Suitability Class in Non-Irrigated Scenario<br />
101
Annex I - Tomato<br />
The number <strong>of</strong> agro-pedo-climatologic zones identified for tomato in non-irrigated scenario is<br />
119.<br />
Figure 72–Tomato <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Non-Irrigated Scenario<br />
102
Annex I - Tomato<br />
Irrigated Scenario<br />
Suitability Classes Area % Color Legend<br />
S – Suitable 54<br />
NS – Non Suitable 46<br />
Table 72– Tomato Suitability Classification in Irrigated Scenario<br />
Figure 73 – Tomato Suitability Class in Irrigated Scenario<br />
103
Annex I - Tomato<br />
The number <strong>of</strong> agro-pedo-climatologic zones identified for tomato in irrigated scenario is<br />
232.<br />
Figure 74–Tomato <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Irrigated Scenario<br />
104
Annex I - Sugar beet<br />
Sugar beet in <strong>Italy</strong><br />
Sugarbeet (Beta vulgaris L.) is a variety <strong>of</strong> beetroot, from which roots two third <strong>of</strong> the sugar<br />
world production is obtained. This crop is sowed in autumn and it adapts in deep and<br />
permeable soils, which keep water in the summer because the roots penetrate deeply in the<br />
soils. It’s a crop which adapts to temperature about 15-20° C, in wet summer regions. <strong>Italy</strong> is<br />
the third Eu producer, after France and Germany, with a production over 11 thousands tonnes<br />
and with a total area <strong>of</strong> 223 thousands hectares, which is the 12% <strong>of</strong> the total Eu area. Over<br />
60% <strong>of</strong> the area is in three regions: Emilia Romagna, Veneto and Marche.<br />
Sugar beet is a biennial plant. In the first year epigeal germination leads to the development<br />
<strong>of</strong> a rosette, @, glossy leaves. Leaf production continues through the first season while the<br />
root swells and accumulates sucrose. Roots crops are harvested before the onset <strong>of</strong> winter<br />
frost. In <strong>Italy</strong>, cultivation takes place mainly in Emilia Romagna and to a less extend in Nord-<br />
Est and Centre. There, the production is mainly for sugar and spring sowing varieties are<br />
used. In the south, only a marginal cultivations (less <strong>of</strong> 15 % <strong>of</strong> national production) are used<br />
for sugar and autumn sowing for seeds.<br />
In this report we only evaluate the sugar production varieties characterized with a spring<br />
sowing.<br />
Growing Period in <strong>Italy</strong><br />
Spatial Zone Sowing Germination Flowering Ripening<br />
North III deca./March I deca. /April II deca. /June II deca /September<br />
Centre III deca./March I deca. / April I deca /June I deca /September<br />
South-Islands I deca./March III deca. / March III deca /May III deca /August<br />
Table 73 –Sugar beet Calendar<br />
105
Annex I - Sugar beet<br />
Climatic Suitability Map<br />
Temperature Satisfaction Index -TSI<br />
The Sugar beet Specific Satisfaction Temperature was fixed at 6 Cº.<br />
The Temperature Satisfaction Index (TSI) for Sugar beet was classified in term <strong>of</strong> suitability<br />
in the following classes:<br />
Suitability Classes TSI Color Legend<br />
S Suitable >=80 %<br />
NS Non Suitable
Annex I - Sugar beet<br />
Frost Risk Index -FRI<br />
The Sugar beet specific Frost Temperature was assumed equal to 4 Cº.<br />
The Frost Risk Index (FRI) for Sugar beet was classified in term <strong>of</strong> suitability in the<br />
following classes:<br />
Suitability Classes FRI_TG Color Legend<br />
S Suitable 80 %<br />
NS Non Suitable
Annex I - Sugar beet<br />
Heat Stress Risk Index -HSRI<br />
The Sugar beet specific Heat Stress Temperature was assumed equal to 30 Cº.<br />
The Heat Stress Risk Index (HSRI) for Sugar beet was classified in term <strong>of</strong> suitability in the<br />
following classes:<br />
Suitability Classes HSRI_TG Color Legend<br />
S 100 %<br />
NS
Annex I - Sugar beet<br />
Thermal Satisfaction Index - ThSI<br />
The Sugar beet specific Base Temperature for this indices were assumed equal to 5 Cº.<br />
The ThSI_TF and ThSI_TR Thermal Satisfaction Index (ThSI) for Sugar beet until<br />
flowering and ripening period were classified in term <strong>of</strong> suitability in the following classes:<br />
Suitability Classes ThSI_TF Color Legend<br />
S1 Suitable<br />
NS Non Suitable<br />
>=450 C°d<br />
=1600 C°d<br />
Annex I - Sugar beet<br />
Figure 79– Sugar beet ThSI Index Suitability Classification until Ripening Period<br />
110
Annex I - Sugar beet<br />
Flowering Temperature Satisfaction Index - FTSI<br />
The Sugar beet Specific Flowering Satisfaction Temperature was fixed at 6 Cº.<br />
The Flowering Temperature Satisfaction Index (FTSI) for Sugar beet was classified in term<br />
<strong>of</strong> suitability in the following classes:<br />
Suitability Classes FTSI_TB Color Legend<br />
S1 Optimal >90%<br />
S2 Sub-Optimal 60-90%<br />
NS Non Suitable
Annex I - Sugar beet<br />
<strong>Pedo</strong>logical Suitability Criteria<br />
Soil Depth<br />
Suitability Classes Soil Depth Color Legend<br />
NS Non Suitable<br />
D1<br />
D2<br />
D3<br />
S3 Acceptable<br />
D4<br />
S1 Optimal<br />
D5<br />
Table 79– Sugar beet Soil depth Suitability Classification<br />
Figure 81– Sugar beet Soil depth Suitability Classification<br />
112
Annex I - Sugar beet<br />
Texture<br />
Suitability Classes TEXTURE Color Legend<br />
NS Non Suitable<br />
T1<br />
S1 Optimal<br />
S1 Optimal<br />
S2 Sub-Optimal<br />
T2<br />
T3<br />
T4<br />
S3 Acceptable<br />
T5<br />
Table 80– Sugar beet Texture Suitability Classification<br />
Figure 82- Sugar beet Texture Suitability Classification<br />
113
Annex I - Sugar beet<br />
Morphology Suitability Criteria<br />
Mean elevation<br />
Suitability Classes Mean Elevation Color Legend<br />
S1 Optimal<br />
E1<br />
E2<br />
E3<br />
S2 Sub-Optimal<br />
E4<br />
NS Non Suitable<br />
E5<br />
Table 81– Sugar beet Mean Elevation Suitability Classification<br />
Figure 83– Sugar beet Mean Elevation Suitability Classification<br />
114
Annex I - Sugar beet<br />
Slope<br />
Suitability Classes Slope Color Legend<br />
S1 Optimal<br />
SLOPE1<br />
SLOPE2<br />
S2 Sub Optimal<br />
SLOPE3<br />
S3 Acceptable<br />
SLOPE4<br />
SLOPE5<br />
NS Non Suitable<br />
SLOPE6<br />
Table 82– Sugar beet Slope Suitability Classification<br />
Figure 84– Sugar beet Slope Suitability Classification<br />
115
Annex I - Sugar beet<br />
Crop Water Satisfaction Index Suitability<br />
The Crop Satisfaction Index for Sugar beet was calculated following the methodology<br />
described in the paragraph 1.7, on the basis <strong>of</strong> value <strong>of</strong> Sugar beet water requirements (Sugar<br />
beet Kc equal to 0.5 from March until April, 1.10 from May until June, and 0.7 until<br />
September ), the CWSI Suitability classes were defined:<br />
Suitability Classes CWSI Color Legend<br />
S1 Optimal 100-75%<br />
S2 Sub-Optimal 75-63%<br />
S3 Acceptable 63-50%<br />
NS Non Suitable
Annex I - Sugar beet<br />
Suitably Index Score<br />
Non Irrigated Scenario<br />
Suitability Classes Suitability Index Score % Area Color Legend<br />
S3 0-40 0.36<br />
S2 40-50 1.4<br />
S1 50-60 5.5<br />
NS
Annex I - Sugar beet<br />
Irrigated Scenario<br />
Suitability Classes Suitability Index Score % Area Color Legend<br />
S3 0-40 14.1<br />
S2 40-50 20.4<br />
S1 50-70 23.59<br />
NS
Annex I - Sugar beet<br />
<strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> for Sugar beet<br />
Non Irrigated Scenario<br />
Suitability Classes Area % Color Legend<br />
S – Suitable 7.5<br />
NS – Non Suitable 92.5<br />
Table 86– Sugar beet Suitability Classification in Non-Irrigated Scenario<br />
Figure 88 – Sugar beet Suitability Class in Non-Irrigated Scenario<br />
119
Annex I - Sugar beet<br />
The number <strong>of</strong> agro-pedo-climatologic zones identified for sugar beet in non-irrigated<br />
scenario is 25.<br />
Figure 89–Sugar beet <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Non-Irrigated Scenario<br />
120
Annex I - Sugar beet<br />
Irrigated Scenario<br />
Suitability Classes Area % Color Legend<br />
S – Suitable 58.2<br />
NS – Non Suitable 41.8<br />
Table 87– Sugar beet Suitability Classification in Irrigated Scenario<br />
Figure 90 – Sugar beet Suitability Class in Irrigated Scenario<br />
121
Annex I - Sugar beet<br />
The number <strong>of</strong> agro-pedo-climatologic zones identified for sugar beet in irrigated scenario is<br />
108.<br />
Figure 91–Sugar beet <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Irrigated Scenario<br />
122
Annex I - Sunflower<br />
Sunflower in <strong>Italy</strong><br />
Sunflower (Helianthus annuus L.) comes from North-West America and it arrived in Europe<br />
in the XVI th century, first as ornamental plant and then, in the first part <strong>of</strong> 800’s, as oil plant,<br />
when a method to extract oil was defined.<br />
It’s an annual crop, with spring-summer cycle, with a good adaptability because it can be<br />
cultivated both in heavy soils and in sandy soils, but, coming from temperate climate, it<br />
adapts better to high temperature. <strong>Italy</strong> is the third producer in the Eu, after France and Spain,<br />
with a production <strong>of</strong> 411 thousands tonnes and a total area <strong>of</strong> 210 thousands <strong>of</strong> hectares and,<br />
as the rape, the sunflower was spread from the half <strong>of</strong> 80’s and the half <strong>of</strong> 90’s, following the<br />
community aid. This crop is mainly spread in the Central area <strong>of</strong> the country: Toscana,<br />
Umbria and Marche have over the 60% <strong>of</strong> the total area.<br />
Growing Period in <strong>Italy</strong><br />
Spatial Zone Sowing Germination Flowering Ripening<br />
North II deca./April I deca. /May I deca. /July II deca /September<br />
Centre II deca./April III deca. / April I deca /July II deca /September<br />
South-Islands I deca./April II deca. / April III deca /June I deca /August<br />
Table 88 –Sunflower Phenological Calendar<br />
123
Annex I - Sunflower<br />
Climatic Suitability Map<br />
Temperature Satisfaction Index -TSI<br />
The Sunflower Specific Satisfaction Temperature was fixed at 6 Cº.<br />
The Temperature Satisfaction Index (TSI) for Sunflower was classified in term <strong>of</strong> suitability<br />
in the following classes:<br />
Suitability Classes TSI Color Legend<br />
S Suitable >=80 %<br />
NS Non Suitable
Annex I - Sunflower<br />
Frost Risk Index -FRI<br />
The Sunflower specific Frost Temperature was assumed equal to 4 Cº.<br />
The Frost Risk Index (FRI) Sunflower was classified in term <strong>of</strong> suitability in the following<br />
classes:<br />
Suitability Classes FRI_TG Color Legend<br />
S Suitable 60 %<br />
NS Non Suitable
Annex I - Sunflower<br />
Heat Stress Risk Index -HSRI<br />
The Sunflower specific Heat Stress Temperature was assumed equal to 30 Cº.<br />
The Heat Stress Risk Index (HSRI) Sunflower was classified in term <strong>of</strong> suitability in the<br />
following classes:<br />
Suitability Classes HSRI_TG Color Legend<br />
S 100 %<br />
NS
Annex I - Sunflower<br />
Thermal Satisfaction Index - ThSI<br />
The Sunflower specific Base Temperature for this indices were assumed equal to 5 Cº.<br />
The ThSI_TF and ThSI_TR Thermal Satisfaction Index (ThSI) for Sunflower until<br />
flowering and ripening period were classified in term <strong>of</strong> suitability in the following classes:<br />
Suitability Classes ThSI_TF Color Legend<br />
S1 Optimal Suitable<br />
S2 Sub-Optimal<br />
Suitable<br />
NS Non Suitable<br />
>=1500 C°d<br />
1200-1500<br />
=1100 C°d<br />
Annex I - Sunflower<br />
Figure 96– Sunflower ThSI Index Suitability Classification until Ripening Period<br />
128
Annex I - Sunflower<br />
Flowering Temperature Satisfaction Index - FTSI<br />
The Sunflower Specific Flowering Satisfaction Temperature was fixed in 15 Cº.<br />
The Flowering Temperature Satisfaction Index (FTSI) for Sunflower was classified in term <strong>of</strong><br />
suitability in the following classes:<br />
Suitability Classes FTSI_TB Color Legend<br />
S1 Optimal >90%<br />
S2 Sub-Optimal 60-90%<br />
NS Non Suitable
Annex I - Sunflower<br />
<strong>Pedo</strong>logical Suitability Criteria<br />
Soil Depth<br />
Suitability Classes Soil Depth Color Legend<br />
NS Non Suitable<br />
D1<br />
D2<br />
S3 Acceptable<br />
D3<br />
D4<br />
S1 Optimal<br />
D5<br />
Table 94– Sunflower Soil depth Suitability Classification<br />
Figure 98– Sunflower Soil depth Suitability Classification<br />
130
Annex I - Sunflower<br />
Texture<br />
Suitability Classes TEXTURE Color Legend<br />
NS Non Suitable<br />
T1<br />
S1 Optimal<br />
T2<br />
S1 Optimal<br />
T3<br />
S3 Acceptable<br />
T4<br />
S3 Acceptable<br />
T5<br />
Table 95– Sunflower Texture Suitability Classification<br />
Figure 99– Sunflower Texture Suitability Classification<br />
131
Annex I - Sunflower<br />
Morphology Suitability Criteria<br />
Mean elevation<br />
Suitability Classes Mean Elevation Color Legend<br />
E1<br />
S1 Optimal<br />
E2<br />
S2 Sub Optimal<br />
S3 Acceptable<br />
E3<br />
E4<br />
NS Non Suitable<br />
E5<br />
Table 96– Sunflower Mean Elevation Suitability Classification<br />
Figure 100– Sunflower Mean Elevation Suitability Classification<br />
132
Annex I - Sunflower<br />
Slope<br />
Suitability Classes Slope Color Legend<br />
S1 Optimal<br />
SLOPE1<br />
SLOPE2<br />
S3 Acceptable<br />
SLOPE3<br />
SLOPE4<br />
NS Non Suitable<br />
SLOPE5<br />
SLOPE6<br />
Table 97– Sunflower Slope Suitability Classification<br />
Figure 101– Sunflower Slope Suitability Classification<br />
133
Annex I - Sunflower<br />
Crop Water Satisfaction Index Suitability<br />
The Crop Satisfaction Index for Sunflower was calculated following the methodology<br />
described in the paragraph 1.7, on the basis <strong>of</strong> value <strong>of</strong> Sunflower water requirements<br />
(Sunflower Kc equal to 0.4 from April until May, 1.10 from June until July, and 0.4 until<br />
September ), the CWSI Suitability classes were defined:<br />
Suitability Classes CWSI Color Legend<br />
S1 Optimal 100-67%<br />
S2 Sub-Optimal 67-33%<br />
NS Non Suitable
Annex I - Sunflower<br />
Suitably Index Score <strong>Zoning</strong><br />
Non Irrigated Scenario<br />
Suitability Classes Suitability Index Score % Area Color Legend<br />
S3 0-50 4.6<br />
S2 50-60 11.4<br />
S1 60-70 13.12<br />
NS
Annex I - Sunflower<br />
Irrigated Scenario<br />
Suitability Classes Suitability Index Score % Area Color Legend<br />
S3 0-50 32.15<br />
S2 50-65 34.8<br />
S1 65-80 18.66<br />
NS
Annex I - Sunflower<br />
<strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> for Sunflower<br />
Non Irrigated Scenario<br />
Suitability Classes Area % Color Legend<br />
S – Suitable 29.18<br />
NS – Non Suitable 70.82<br />
Table 101– Sunflower Suitability Classification in Non-Irrigated Scenario<br />
Figure 105– Sunflower Suitability Class in Non-Irrigated Scenario<br />
137
Annex I - Sunflower<br />
The number <strong>of</strong> agro-pedo-climatologic zones identified for sunflower in non-irrigated<br />
scenario is 81.<br />
Figure 106–Sunflower <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Non-Irrigated Scenario<br />
138
Annex I - Sunflower<br />
Irrigated Scenario<br />
Suitability Classes Area % Color Legend<br />
S – Suitable 85.71<br />
NS – Non Suitable 14.29<br />
Table 102– Sunflower Suitability Classification in Irrigated Scenario<br />
Figure 107– Sunflower Suitability Class in Irrigated Scenario<br />
139
Annex I - Sunflower<br />
The number <strong>of</strong> agro-pedo-climatologic zones identified for sunflower in irrigated scenario is<br />
189.<br />
Figure 108–Sunflower <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Irrigated Scenario<br />
140
Annex I - Soy Bean<br />
Soy Bean in <strong>Italy</strong><br />
Soya beans (Glycine max L.) is a leguminous crop coming from Asia and imported in Europe<br />
since XVIIIth century and in America since first years <strong>of</strong> 800’s, where large scale<br />
cultivations started. Today, United States and Brazil are the main producers.<br />
It’s an annual crop with spring-summer cycle, with the same climate needs as Grain maize. It<br />
is light sensitive (it needs <strong>of</strong> dark to flower), so the flowering depends also from the latitude,<br />
and it is little drought - resistant. Its ideal habitat is that one with subtropical condition, with<br />
hot and wet summer. <strong>Italy</strong> is the first European producer wit a production <strong>of</strong> 888 thousands<br />
tonnes and a total area <strong>of</strong> about 230 thousands <strong>of</strong> hectares, which are decreasing, as for the<br />
entire oil seed crop.<br />
As the leguminous plants, also the Soya beans is a crop which is used to improve the soils,<br />
because it fixes the air nitrogen and it produces a big quantity <strong>of</strong> organic substances which<br />
help the soils.<br />
It is rotate with the maize and, as the maize, it is mainly spread in the Northern regions and<br />
particularly in: Veneto, Lombardia, Piemonte, Friuli Venezia Giulia and Emilia Romagna.<br />
Growing Period in <strong>Italy</strong><br />
Spatial Zone Sowing Germination Flowering Ripening<br />
North I deca./May II deca. /May III deca. /June III deca /September<br />
Centre III deca./April I deca. / May II deca /June III deca /September<br />
South-Islands III deca./April I deca. / May II deca /June III deca / September<br />
Table 103 –Soy Bean Calendar<br />
141
Annex I - Soy Bean<br />
Climatic Suitability Map<br />
Temperature Satisfaction Index -TSI<br />
The Soy Bean Specific Satisfaction Temperature was fixed at 10 Cº.<br />
The Temperature Satisfaction Index (TSI) for Soy Bean was classified in term <strong>of</strong> suitability<br />
in the following classes:<br />
Suitability Classes TSI Color Legend<br />
S Suitable >=80 %<br />
NS Non Suitable
Annex I - Soy Bean<br />
Frost Risk Index -FRI<br />
The Soy Bean specific Frost Temperature was assumed equal to 5 Cº.<br />
The Frost Risk Index (FRI) Soy Bean was classified in term <strong>of</strong> suitability in the following<br />
classes:<br />
Suitability Classes FRI_TG Color Legend<br />
S Suitable 100 %<br />
NS Non Suitable
Annex I - Soy Bean<br />
Heat Stress Risk Index -HSRI<br />
The Soy Bean specific Heat Stress Temperature was assumed equal to 32 Cº.<br />
The Heat Stress Risk Index (HSRI) Soy Bean was classified in term <strong>of</strong> suitability in the<br />
following classes:<br />
Suitability Classes HSRI_TG Color Legend<br />
S 100 %<br />
NS
Annex I - Soy Bean<br />
Thermal Satisfaction Index - ThSI<br />
The Soy Bean specific Base Temperature for this indices were assumed equal to 4 Cº.<br />
The ThSI_TF and ThSI_TR Thermal Satisfaction Index (ThSI) for Soy Bean until flowering<br />
and ripening period were classified in term <strong>of</strong> suitability in the following classes:<br />
Suitability Classes ThSI_TF Color Legend<br />
S Suitable<br />
NS Non Suitable<br />
>=800 C°d<br />
=2000 C°d<br />
Annex I - Soy Bean<br />
Figure 113– Soy Bean ThSI Index Suitability Classification until Ripening Period<br />
146
Annex I - Soy Bean<br />
Flowering Temperature Satisfaction Index - FTSI<br />
The Soy Bean Specific Flowering Satisfaction Temperature was fixed in 12 Cº.<br />
The Flowering Temperature Satisfaction Index (FTSI) for Soy Bean was classified in term <strong>of</strong><br />
suitability in the following classes:<br />
Suitability Classes FTSI_TB Color Legend<br />
S1 Optimal >90%<br />
S2 Sub-Optimal 60-90%<br />
NS Non Suitable
Annex I - Soy Bean<br />
<strong>Pedo</strong>logical Suitability Criteria<br />
Soil Depth<br />
Suitability Classes Soil Depth Color Legend<br />
NS Non Suitable<br />
D1<br />
D2<br />
S3 Acceptable<br />
D3<br />
D4<br />
S1 Optimal<br />
D5<br />
Table 109– Soy Bean Soil depth Suitability Classification<br />
Figure 115– Soy Bean Soil depth Suitability Classification<br />
148
Annex I - Soy Bean<br />
Texture<br />
Suitability Classes TEXTURE Color Legend<br />
NS Non Suitable<br />
T1<br />
S2 Sub-Optimal<br />
S1 Optimal<br />
T2<br />
T3<br />
T4<br />
S2 Sub-Optimal<br />
T5<br />
Table 110– Soy Bean Texture Suitability Classification<br />
Figure 116– Soy Bean Texture Suitability Classification<br />
149
Annex I - Soy Bean<br />
Morphology Suitability Criteria<br />
Mean elevation<br />
Suitability Classes Mean Elevation Color Legend<br />
S1 Optimal<br />
E1<br />
S2 Sub-Optimal<br />
S3 Acceptable<br />
E2<br />
E3<br />
E4<br />
NS Non Suitable<br />
E5<br />
Table 111– Soy Bean Mean Elevation Suitability Classification<br />
Figure 117– Soy Bean Mean Elevation Suitability Classification<br />
150
Annex I - Soy Bean<br />
Slope<br />
Suitability Classes Slope Color Legend<br />
S1 Optimal<br />
S2 Sub Optimal<br />
SLOPE1<br />
SLOPE2<br />
S3 Acceptable<br />
SLOPE3<br />
SLOPE4<br />
NS Non Suitable<br />
SLOPE5<br />
SLOPE6<br />
Table 112– Soy Bean Slope Suitability Classification<br />
Figure 118– Soy Bean Slope Suitability Classification<br />
151
Annex I - Soy Bean<br />
Crop Water Satisfaction Index Suitability<br />
The Crop Satisfaction Index for Soy Bean was calculated following the methodology<br />
described in the paragraph 1.7, on the basis <strong>of</strong> value <strong>of</strong> Soy Bean water requirements (Soy<br />
Bean Kc equal to 0.4 from April until May, 1.10 from June until July, and 0.4 until<br />
September ), the CWSI Suitability classes were defined:<br />
Suitability Classes CWSI Color Legend<br />
S1 Optimal 100-83%<br />
S2 Sub-Optimal 83-67%<br />
S3 Acceptable 67-50%<br />
NS Non Suitable
Annex I - Soy Bean<br />
Soy Bean Suitably Index Score<br />
Non Irrigated Scenario<br />
Suitability Classes Suitability Index Score % Area Color Legend<br />
S3 0-40 4.7<br />
S2 40-50 15<br />
S1 50-60 6.9<br />
NS
Annex I - Soy Bean<br />
Irrigated Scenario<br />
Suitability Classes Suitability Index Score % Area Color Legend<br />
S3 0-40 12<br />
S2 40-55 38<br />
S1 55-70 10<br />
NS
Annex I - Soy Bean<br />
<strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> for Soy Bean<br />
Non Irrigated Scenario<br />
Suitability Classes Area % Color Legend<br />
S – Suitable 26.7<br />
NS – Non Suitable 73.3<br />
Table 116– Soy Bean Suitability Classification in Non-Irrigated Scenario<br />
Figure 122– Soy Bean Suitability Class in Non-Irrigated Scenario<br />
155
Annex I - Soy Bean<br />
The number <strong>of</strong> agro-pedo-climatologic zones identified for soy bean in non-irrigated scenario<br />
is 65.<br />
Figure 123–Soy Bean <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Non-Irrigated Scenario<br />
156
Annex I - Soy Bean<br />
Irrigated Scenario<br />
Suitability Classes Area % Color Legend<br />
S – Suitable 60<br />
NS – Non Suitable 40<br />
Table 117– Soy Bean Suitability Classification in Irrigated Scenario<br />
Figure 124– Soy Bean Suitability Class in Irrigated Scenario<br />
157
Annex I - Soy Bean<br />
The number <strong>of</strong> agro-pedo-climatologic zones identified for soy bean in irrigated scenario is<br />
122.<br />
Figure 125–Soy Bean <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Irrigated Scenario<br />
158
Annex I - Rapeseed<br />
Rapeseed in <strong>Italy</strong><br />
Rape (Brassica napus L.) is a crop coming from Mediterranean area and it was utilized since<br />
the Middle Age for the oil extracted from the seeds, used for the lighting. In Europe, this crop<br />
has mainly spread in the North: Germany, France, Poland, Great Britain, Denmark and<br />
Sweden are the main producers. In <strong>Italy</strong>, the crop spread from the half <strong>of</strong> 80’s, thanks to the<br />
incentives as “deficiency payment”, come into force between 1981 and 1991 and then thanks<br />
to the introduction <strong>of</strong> community aid such as the cereals aid. This situation has produced an<br />
exponential increasing <strong>of</strong> the area cultivated to rape, stopped only after Agenda 2000 came<br />
into force.<br />
Today the sector, with about 30.000 hectares, has an incidence <strong>of</strong> 1% on the Eu one. In 5<br />
regions (Sardegna, Puglia, Lazio Toscana and Piemonte), there is the 80% <strong>of</strong> the total area.<br />
The most spread varieties in <strong>Italy</strong>, are the autumn ones, which have a autumn- spring cycle.<br />
Growing Period in <strong>Italy</strong><br />
Spatial Zone Sowing Germination Flowering Ripening<br />
North I deca./October I deca. /November III deca. /April III deca /June<br />
Centre II deca./October I deca. / November II deca /April II deca /June<br />
South-Islands III deca./October II deca. / November II deca /April I deca / June<br />
Table 118 –RapeseedCalendar<br />
159
Annex I - Rapeseed<br />
Climatic Suitability Map<br />
Temperature Satisfaction Index -TSI<br />
The Rapeseed Specific Satisfaction Temperature was fixed at 5 Cº.<br />
The Temperature Satisfaction Index (TSI) for Rapeseed was classified in term <strong>of</strong> suitability<br />
in the following classes:<br />
Suitability Classes TSI Color Legend<br />
S Suitable >=80 %<br />
NS Non Suitable
Annex I - Rapeseed<br />
Frost Risk Index -FRI<br />
The Rapeseed specific Frost Temperature was assumed equal to -8 Cº.<br />
The Frost Risk Index (FRI) Rapeseed was classified in term <strong>of</strong> suitability in the following<br />
classes:<br />
Suitability Classes FRI_TG Color Legend<br />
S Suitable 100 %<br />
NS Non Suitable
Annex I - Rapeseed<br />
Heat Stress Risk Index -HSRI<br />
The Rapeseed specific Heat Stress Temperature was assumed equal to 30 Cº.<br />
The Heat Stress Risk Index (HSRI) Rapeseed was classified in term <strong>of</strong> suitability in the<br />
following classes:<br />
Suitability Classes HSRI_TG Color Legend<br />
S 100 %<br />
NS
Annex I - Rapeseed<br />
Thermal Satisfaction Index - ThSI<br />
The Rapeseed specific Base Temperature for this indices were assumed equal to 0 Cº.<br />
The ThSI_TF and ThSI_TR Thermal Satisfaction Index (ThSI) for Rapeseed until flowering<br />
and ripening period were classified in term <strong>of</strong> suitability in the following classes:<br />
Suitability Classes<br />
S Suitable<br />
NS Non Suitable<br />
Suitability Classes<br />
S Suitable<br />
ThSI_TF<br />
>=900 C°d<br />
=600 C°d<br />
Color<br />
Legend<br />
Color<br />
Legend<br />
NS Non Suitable<br />
Annex I - Rapeseed<br />
Figure 130– Rapeseed ThSI Index Suitability Classification until Ripening Period<br />
164
Annex I - Rapeseed<br />
Flowering Temperature Satisfaction Index - FTSI<br />
The Rapeseed Specific Flowering Satisfaction Temperature was fixed at 5 Cº.<br />
The Flowering Temperature Satisfaction Index (FTSI) for Rapeseed was classified in term <strong>of</strong><br />
suitability in the following classes:<br />
Suitability Classes FTSI_TB Color Legend<br />
S1 Optimal >90%<br />
S2 Sub-Optimal 60-90%<br />
NS Non Suitable
Annex I - Rapeseed<br />
Vernalization Satisfaction Index - VSI<br />
The Rapeseed specific Vernalization Satisfaction Temperature is between -2 and 10 Cº.<br />
The Vernalization period for Rapeseed is fixed from germination to the end <strong>of</strong> first decade in<br />
February.<br />
The Vernalization Satisfaction Index (VSI) for Rapeseed was classified in term <strong>of</strong> suitability<br />
in the following classes:<br />
Suitability Classes TSI Color Legend<br />
S Suitable >=60 %<br />
NS Non Suitable
Annex I - Rapeseed<br />
<strong>Pedo</strong>logical Suitability Criteria<br />
Soil Depth<br />
Suitability Classes Soil Depth Color Legend<br />
NS Non Suitable<br />
D1<br />
D2<br />
S3 Acceptable<br />
S1 Optimal<br />
D3<br />
D4<br />
D5<br />
Table 125– Rapeseed Soil depth Suitability Classification<br />
Figure 133– Rapeseed Soil depth Suitability Classification<br />
167
Annex I - Rapeseed<br />
Texture<br />
Suitability Classes TEXTURE Color Legend<br />
NS Non Suitable<br />
T1<br />
S3 Acceptable<br />
S1 Optimal<br />
S1 Optimal<br />
T2<br />
T3<br />
T4<br />
S3 Acceptable<br />
T5<br />
Table 126– Rapeseed Texture Suitability Classification<br />
Figure 134– Rapeseed Texture Suitability Classification<br />
168
Annex I - Rapeseed<br />
Morphology Suitability Criteria<br />
Mean elevation<br />
Suitability Classes Mean Elevation Color Legend<br />
E1<br />
S1 Optimal<br />
E2<br />
S2 Sub Optimal<br />
S3 Acceptable<br />
E3<br />
E4<br />
NS Non Suitable<br />
E5<br />
Table 127– Rapeseed Mean Elevation Suitability Classification<br />
Figure 135– Rapeseed Mean Elevation Suitability Classification<br />
169
Annex I - Rapeseed<br />
Slope<br />
Suitability Classes Slope Color Legend<br />
S1 Optimal<br />
SLOPE1<br />
SLOPE2<br />
S2 Sub Optimal<br />
SLOPE3<br />
S3 Acceptable<br />
SLOPE4<br />
SLOPE5<br />
NS Non Suitable<br />
SLOPE6<br />
Table 128– Rapeseed Slope Suitability Classification<br />
Figure 136– Rapeseed Slope Suitability Classification<br />
170
Annex I - Rapeseed<br />
Crop Water Satisfaction Index Suitability for Rapeseed<br />
The Crop Satisfaction Index for Rapeseed was calculated following the methodology<br />
described in the paragraph 1.7, on the basis <strong>of</strong> value <strong>of</strong> Rapeseed water requirements<br />
(Rapeseed Kc equal to 0.5 from January until March, 1.10 from April until May, and 0.6 until<br />
June ), the CWSI Suitability classes were defined:<br />
Suitability Classes CWSI Color Legend<br />
S1 Optimal 100-83%<br />
S2 Sub-Optimal 83-67%<br />
S3 Acceptable 67-50%<br />
NS Non Suitable
Annex I - Rapeseed<br />
Rapeseed Suitably Index Score<br />
Non Irrigated Scenario<br />
Suitability Classes Suitability Index Score % Area Color Legend<br />
S3 0-40 19.4<br />
S2 40-50 31.2<br />
S1 50-60 15.4<br />
NS
Annex I - Rapeseed<br />
<strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> for Rapeseed<br />
Non Irrigated Scenario<br />
Suitability Classes Area % Color Legend<br />
S – Suitable 66.2<br />
NS – Non Suitable 33.8<br />
Table 131– Rapeseed Suitability Classification in Non-Irrigated Scenario<br />
Figure 139– Rapeseed Suitability Class in Non-Irrigated Scenario<br />
173
Annex I - Rapeseed<br />
The number <strong>of</strong> agro-pedo-climatologic zones identified for rapeseed in non-irrigated scenario<br />
is 123.<br />
Figure 140–Rapeseed <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Non-Irrigated Scenario<br />
174
Annex II – Index Equation<br />
Annex II: Index Equations<br />
175
Annex II – Index Equation<br />
Temperature Satisfaction index -TSI<br />
TSI is equal to:<br />
∑Ti<br />
TG<br />
TSI _ TG = • 100<br />
TG<br />
mean<br />
⎪⎧<br />
1 ⇔ Ti<br />
≥ Crop _ Specific _ Temp<br />
Ti<br />
= ⎨<br />
mean<br />
⎪⎩ 0 ⇔ Ti<br />
< Crop _ Specific _ Temp<br />
where:<br />
TG= Length <strong>of</strong> Germination Period in days<br />
T = Daily average long term temperature <strong>of</strong> i-day during the germination period<br />
mean<br />
i<br />
Frost Risk Index FRI<br />
FRI is equal to:<br />
∑<br />
Ti<br />
TTOT<br />
FRI _ TTOT = • 100<br />
TTOT<br />
min<br />
⎪⎧<br />
1 ⇔ Ti<br />
≥ Crop _ Specific _ FrostTemp<br />
Ti<br />
= ⎨<br />
min<br />
⎪⎩ 0 ⇔ Ti<br />
< Crop _ Specific _ FrostTemp<br />
where:<br />
TTOT= Length <strong>of</strong> Growing Period in days calculated from sowing to end <strong>of</strong> ripening<br />
T = Daily average long term minimum temperature <strong>of</strong> i-day during the growing period<br />
min<br />
i<br />
Heat Stress Risk Index - HSRI<br />
HSRI is equal to:<br />
∑Ti<br />
TTOT<br />
HSRI _ TTOT = • 100<br />
TTOT<br />
mean<br />
⎪⎧<br />
1 ⇔ Ti<br />
≤ Crop _ Specific _ HeatTemp<br />
Ti<br />
= ⎨<br />
mean<br />
⎪⎩ 0 ⇔ Ti<br />
> Crop _ Specific _ HeatTemp<br />
where:<br />
TTOT= Length <strong>of</strong> Growing Period in days calculated from sowing to end <strong>of</strong> ripening<br />
T = Daily average long term temperature <strong>of</strong> i-day during the growing period<br />
mean<br />
i<br />
Thermal Satisfaction Index -ThSI<br />
LGP32_TTOT is equal to:<br />
176
Annex II – Index Equation<br />
ThSI _ TR = ∑Ti<br />
TR<br />
mean mean<br />
⎪⎧<br />
Ti<br />
= Ti<br />
⇔ Ti<br />
≥ Crop _ Specific _ Temp<br />
Ti<br />
= ⎨<br />
mean<br />
⎪⎩ Ti<br />
= 0 ⇔ Ti<br />
< Crop _ Specific _ Temp<br />
ThSI _ TF = ∑Ti<br />
T<br />
i<br />
⎪⎧<br />
Ti<br />
= ⎨<br />
⎪⎩ Ti<br />
TF<br />
mean mean<br />
= Ti<br />
⇔ Ti<br />
≥ Crop _ Specific _ Temp<br />
mean<br />
= 0 ⇔ T < Crop _ Specific _ Temp<br />
i<br />
where:<br />
TF= Length <strong>of</strong> Flowering Period in days calculated from sowing to end <strong>of</strong> flowering<br />
TR= Length <strong>of</strong> Ripening Period in days calculated from flowering to ripening<br />
T<br />
mean<br />
i<br />
= Daily average long term temperature <strong>of</strong> i-day during the growing period<br />
Vernalization Satisfaction Index - VSI<br />
VSI is equal to:<br />
∑Ti<br />
TTOT<br />
VSI _ TA = • 100<br />
TTOT<br />
mean<br />
⎧1<br />
⇔ Min _ Crop _ Specific _ Temp ≤ Ti<br />
≤<br />
⎪<br />
mean<br />
Ti<br />
= ⎨0<br />
⇔ Ti<br />
> Max _ Crop _ Specific _ Temp<br />
⎪ mean<br />
0 ⇔ T < Min _ Crop _ Specific _ Temp<br />
Max _ Crop _ Specific _ Temp<br />
⎩ i<br />
where:<br />
TA= Length <strong>of</strong> Crop Vernalization Period in days calculated from flowering to a crop<br />
specific decade<br />
T<br />
mean<br />
i<br />
= Daily average long term temperature <strong>of</strong> i-day during the Vernalization Period<br />
Flowering Temperature Satisfaction index -FTSI<br />
TSI is equal to:<br />
∑Ti<br />
TB<br />
FTSI _ TB = • 100<br />
TB<br />
mean<br />
⎪⎧<br />
1 ⇔ Ti<br />
≥ Crop _ Specific _ Temp<br />
Ti<br />
= ⎨<br />
mean<br />
⎪⎩ 0 ⇔ Ti<br />
< Crop _ Specific _ Temp<br />
where:<br />
TB= Length <strong>of</strong> Critical Flowering Period in days<br />
T<br />
mean<br />
i<br />
= Daily average long term temperature <strong>of</strong> i-day during the critical flowering period<br />
177
Annex II – Index Equation<br />
Crop Water Satisfaction Index (CWSI)<br />
CWSI:<br />
CWSI<br />
NSWC<br />
p<br />
GP<br />
p<br />
i<br />
=<br />
∑<br />
GP<br />
NSWC<br />
GP<br />
p<br />
i<br />
⎪⎧<br />
0 ⇔ SWC<br />
= ⎨<br />
⎪⎩ 1 ⇔ SWCi<br />
• 100<br />
p<br />
i<br />
p<br />
< 0<br />
≥ 0<br />
GP= Number <strong>of</strong> month <strong>of</strong> the growing period<br />
i= i-month <strong>of</strong> the growing period<br />
Soil Water Content<br />
SWC<br />
p<br />
i<br />
=<br />
−<br />
p<br />
min( SWCi<br />
1<br />
+ ( PPTi<br />
p<br />
− ETC<br />
where:<br />
p<br />
SWC<br />
i<br />
is soil water content at time step i for the polygon p,<br />
p<br />
AWC is the Available Water Content <strong>of</strong> the soil for the polygon p<br />
PPT is the cumulated rainfall at time step i for the polygon p,<br />
p<br />
i<br />
p<br />
i<br />
), AWC<br />
p<br />
ETC<br />
i<br />
is the cumulated Crop-Specific Evapotranspiration at time step i for the polygon p<br />
i is the time step index.<br />
p<br />
ETCi<br />
is evaluated multiplying the potential Evapotranspiration ( ET<br />
0<br />
) by the<br />
crop specific water requirements parameter over the entire growth cycle.<br />
p<br />
ETC = K • ET 0<br />
i<br />
c<br />
p<br />
)<br />
K<br />
c<br />
average<br />
178
Annex II – Index Equation<br />
Annex III: <strong>Agro</strong>-pedo-climatological zones<br />
179
Annex II – Grain maize<br />
Grain maize <strong>Agro</strong>-pedo-climatological zones<br />
Irrigated Scenario<br />
AGRO-PEDO-CLIMATOLOGICAL SUITABLE ZONES<br />
CL_MZ_ZONING_IRR<br />
FREQ<br />
COUNT ID_Cl_MZ_IRR<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D4/S3_T1/S3 22 1<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D4/S3_T2/S2 30 2<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D4/S3_T3/S1 1 3<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D4/S3_T4/S2 19 4<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D5/S1_T1/S3 19 5<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D5/S1_T2/S2 197 6<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D5/S1_T3/S1 36 7<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D5/S1_T4/S2 151 8<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL2/S2_D4/S3_T2/S2 1 9<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL2/S2_D5/S1_T2/S2 62 10<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL3/S3_D4/S3_T4/S2 27 11<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL3/S3_D5/S1_T2/S2 14 12<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S2_SL1/S1_D4/S3_T1/S3 7 13<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S2_SL1/S1_D4/S3_T2/S2 17 14<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S2_SL1/S1_D4/S3_T3/S1 1 15<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S2_SL1/S1_D4/S3_T4/S2 2 16<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S2_SL1/S1_D5/S1_T2/S2 23 17<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S2_SL1/S1_D5/S1_T3/S1 9 18<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S2_SL1/S1_D5/S1_T4/S2 11 19<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S2_SL2/S2_D4/S3_T2/S2 7 20<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S2_SL2/S2_D5/S1_T2/S2 12 21<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S2_SL3/S3_D4/S3_T4/S2 28 22<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S2_SL3/S3_D5/S1_T2/S2 19 23<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S2_SL3/S3_D5/S1_T4/S2 5 24<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL1/S1_D4/S3_T1/S3 3 25<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL1/S1_D4/S3_T2/S2 6 26<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL1/S1_D5/S1_T2/S2 11 27<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL2/S2_D4/S3_T2/S2 6 28<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL2/S2_D5/S1_T2/S2 1 29<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL3/S3_D4/S3_T4/S2 5 30<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL3/S3_D5/S1_T2/S2 2 31<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL3/S3_D5/S1_T4/S2 13 32<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E1/S1_SL1/S1_D4/S3_T1/S3 15 33<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E1/S1_SL1/S1_D4/S3_T2/S2 106 34<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E1/S1_SL1/S1_D4/S3_T4/S2 46 35<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E1/S1_SL1/S1_D5/S1_T1/S3 74 36<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E1/S1_SL1/S1_D5/S1_T2/S2 262 37<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E1/S1_SL1/S1_D5/S1_T3/S1 19 38<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E1/S1_SL1/S1_D5/S1_T4/S2 162 39<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E1/S1_SL2/S2_D4/S3_T2/S2 21 40<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E1/S1_SL2/S2_D5/S1_T2/S2 73 41<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E1/S1_SL3/S3_D4/S3_T4/S2 49 42<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E1/S1_SL3/S3_D5/S1_T2/S2 27 43<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E1/S1_SL3/S3_D5/S1_T4/S2 28 44<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E2/S2_SL1/S1_D4/S3_T1/S3 4 45<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E2/S2_SL1/S1_D4/S3_T2/S2 44 46<br />
180
Annex II – Grain maize<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E2/S2_SL1/S1_D4/S3_T4/S2 6 47<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E2/S2_SL1/S1_D5/S1_T2/S2 52 48<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E2/S2_SL1/S1_D5/S1_T3/S1 10 49<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E2/S2_SL2/S2_D4/S3_T2/S2 4 50<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E2/S2_SL2/S2_D5/S1_T2/S2 38 51<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E2/S2_SL3/S3_D4/S3_T4/S2 28 52<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E2/S2_SL3/S3_D5/S1_T2/S2 22 53<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E2/S2_SL3/S3_D5/S1_T4/S2 21 54<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E3/S3_SL1/S1_D4/S3_T2/S2 15 55<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E3/S3_SL1/S1_D5/S1_T2/S2 21 56<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E3/S3_SL2/S2_D4/S3_T2/S2 1 57<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E3/S3_SL2/S2_D5/S1_T2/S2 22 58<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E3/S3_SL3/S3_D4/S3_T2/S2 9 59<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E3/S3_SL3/S3_D4/S3_T4/S2 10 60<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E3/S3_SL3/S3_D5/S1_T2/S2 2 61<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS2_E3/S3_SL3/S3_D5/S1_T4/S2 25 62<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E1/S1_SL1/S1_D4/S3_T2/S2 62 63<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E1/S1_SL1/S1_D4/S3_T4/S2 23 64<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E1/S1_SL1/S1_D5/S1_T1/S3 57 65<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E1/S1_SL1/S1_D5/S1_T2/S2 317 66<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E1/S1_SL1/S1_D5/S1_T4/S2 12 67<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E1/S1_SL2/S2_D4/S3_T2/S2 2 68<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E1/S1_SL2/S2_D5/S1_T2/S2 127 69<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E1/S1_SL3/S3_D4/S3_T4/S2 34 70<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E1/S1_SL3/S3_D5/S1_T2/S2 8 71<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E1/S1_SL3/S3_D5/S1_T4/S2 14 72<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E2/S2_SL1/S1_D4/S3_T2/S2 46 73<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E2/S2_SL1/S1_D4/S3_T4/S2 5 74<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E2/S2_SL1/S1_D5/S1_T2/S2 58 75<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E2/S2_SL1/S1_D5/S1_T4/S2 1 76<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E2/S2_SL2/S2_D4/S3_T2/S2 3 77<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E2/S2_SL2/S2_D5/S1_T2/S2 61 78<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E2/S2_SL3/S3_D4/S3_T4/S2 36 79<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E2/S2_SL3/S3_D5/S1_T2/S2 13 80<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E2/S2_SL3/S3_D5/S1_T4/S2 7 81<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E3/S3_SL1/S1_D4/S3_T2/S2 61 82<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E3/S3_SL1/S1_D5/S1_T2/S2 39 83<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E3/S3_SL2/S2_D4/S3_T2/S2 2 84<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E3/S3_SL2/S2_D5/S1_T2/S2 66 85<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E3/S3_SL3/S3_D4/S3_T4/S2 52 86<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E3/S3_SL3/S3_D5/S1_T2/S2 13 87<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS3_E3/S3_SL3/S3_D5/S1_T4/S2 9 88<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S1_E1/S1_SL1/S1_D4/S3_T2/S2 9 89<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S1_E1/S1_SL1/S1_D5/S1_T2/S2 116 90<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S1_E1/S1_SL1/S1_D5/S1_T3/S1 3 91<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S1_E2/S2_SL1/S1_D4/S3_T1/S3 7 92<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S1_E2/S2_SL1/S1_D4/S3_T2/S2 22 93<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S1_E2/S2_SL1/S1_D4/S3_T3/S1 2 94<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S1_E2/S2_SL1/S1_D5/S1_T2/S2 64 95<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S1_E2/S2_SL1/S1_D5/S1_T3/S1 2 96<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S1_E2/S2_SL3/S3_D4/S3_T4/S2 1 97<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S1_E2/S2_SL3/S3_D5/S1_T2/S2 1 98<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S1_E2/S2_SL3/S3_D5/S1_T4/S2 1 99<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S1_E3/S3_SL1/S1_D4/S3_T1/S3 2 100<br />
181
Annex II – Grain maize<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S1_E3/S3_SL1/S1_D4/S3_T2/S2 14 101<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S1_E3/S3_SL1/S1_D5/S1_T2/S2 21 102<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S1_E3/S3_SL1/S1_D5/S1_T3/S1 1 103<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S1_E3/S3_SL3/S3_D4/S3_T4/S2 1 104<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S2_E1/S1_SL1/S1_D4/S3_T1/S3 7 105<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S2_E1/S1_SL1/S1_D4/S3_T2/S2 4 106<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S2_E1/S1_SL1/S1_D5/S1_T2/S2 1 107<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S2_E2/S2_SL1/S1_D4/S3_T1/S3 4 108<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S2_E2/S2_SL1/S1_D4/S3_T2/S2 2 109<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S2_E2/S2_SL1/S1_D5/S1_T2/S2 11 110<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S2_E3/S3_SL1/S1_D4/S3_T2/S2 1 111<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S2_E3/S3_SL1/S1_D5/S1_T2/S2 6 112<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D4/S3_T1/S3 12 113<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D4/S3_T2/S2 15 114<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T2/S2 65 115<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T4/S2 4 116<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S2_SL1/S1_D5/S1_T2/S2 1 117<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL1/S1_D4/S3_T2/S2 8 118<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL1/S1_D5/S1_T2/S2 2 119<br />
S/M1_S1/M2_S2/M3_S/M4_S/M5_IRR/NS3_E1/S1_SL1/S1_D4/S3_T2/S2 4 120<br />
S/M1_S1/M2_S2/M3_S/M4_S/M5_IRR/NS3_E1/S1_SL1/S1_D5/S1_T1/S3 4 121<br />
S/M1_S1/M2_S2/M3_S/M4_S/M5_IRR/NS3_E1/S1_SL1/S1_D5/S1_T2/S2 8 122<br />
S/M1_S1/M2_S2/M3_S/M4_S/M5_IRR/NS3_E2/S2_SL1/S1_D4/S3_T2/S2 8 123<br />
S/M1_S1/M2_S2/M3_S/M4_S/M5_IRR/NS3_E2/S2_SL1/S1_D5/S1_T2/S2 9 124<br />
S/M1_S1/M2_S2/M3_S/M4_S/M5_IRR/NS3_E2/S2_SL3/S3_D4/S3_T4/S2 1 125<br />
S/M1_S1/M2_S2/M3_S/M4_S/M5_IRR/NS3_E3/S3_SL1/S1_D4/S3_T2/S2 7 126<br />
S/M1_S1/M2_S2/M3_S/M4_S/M5_IRR/NS3_E3/S3_SL1/S1_D5/S1_T2/S2 6 127<br />
S/M1_S1/M2_S2/M3_S/M4_S/M5_IRR/NS3_E3/S3_SL2/S2_D5/S1_T2/S2 2 128<br />
S/M1_S1/M2_S2/M3_S/M4_S/M5_IRR/NS3_E3/S3_SL3/S3_D4/S3_T4/S2 1 129<br />
S/M1_S1/M2_S2/M3_S/M4_S/M5_IRR/NS3_E3/S3_SL3/S3_D5/S1_T4/S2 1 130<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS2_E2/S2_SL1/S1_D5/S1_T2/S2 2 131<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS2_E2/S2_SL2/S2_D5/S1_T2/S2 6 132<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS2_E3/S3_SL1/S1_D5/S1_T2/S2 2 133<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS2_E3/S3_SL2/S2_D5/S1_T2/S2 3 134<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS3_E3/S3_SL1/S1_D4/S3_T2/S2 1 135<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS3_E3/S3_SL1/S1_D5/S1_T2/S2 3 136<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS3_E3/S3_SL2/S2_D5/S1_T2/S2 3 137<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS3_E3/S3_SL3/S3_D4/S3_T3/S1 1 138<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS3_E3/S3_SL3/S3_D4/S3_T4/S2 1 139<br />
Table 132– Grain maize <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Irrigated Scenario<br />
182
Annex II – Grain maize<br />
Non-Irrigated Scenario<br />
AGRO-PEDO-CLIMATOLOGICAL SUITABLE ZONES<br />
CL_MZ_ZONING_NIRR<br />
FREQ<br />
COUNT<br />
ID_Cl_MZ_NIRR<br />
S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S1_E/S1_SL/S1_D/S1_T2/S2 116 1<br />
S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S1_E/S1_SL/S1_D/S1_T3/S1 3 2<br />
S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S1_E/S1_SL/S1_D/S3_T2/S2 7 3<br />
S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S1_E/S2_SL/S1_D/S1_T2/S2 64 4<br />
S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S1_E/S2_SL/S1_D/S1_T3/S1 2 5<br />
S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S1_E/S2_SL/S1_D/S3_T1/S3 7 6<br />
S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S1_E/S2_SL/S1_D/S3_T2/S2 22 7<br />
S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S1_E/S2_SL/S1_D/S3_T3/S1 2 8<br />
S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S1_E/S2_SL/S3_D/S1_T2/S2 1 9<br />
S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S1_E/S2_SL/S3_D/S1_T4/S2 1 10<br />
S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S1_E/S2_SL/S3_D/S3_T4/S2 1 11<br />
S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S1_E/S3_SL/S1_D/S1_T2/S2 21 12<br />
S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S1_E/S3_SL/S1_D/S1_T3/S1 1 13<br />
S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S1_E/S3_SL/S1_D/S3_T1/S3 2 14<br />
S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S1_E/S3_SL/S1_D/S3_T2/S2 14 15<br />
S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S1_E/S3_SL/S3_D/S3_T4/S2 1 16<br />
S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S2_E/S1_SL/S1_D/S1_T2/S2 1 17<br />
S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S2_E/S1_SL/S1_D/S3_T1/S3 7 18<br />
S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S2_E/S1_SL/S1_D/S3_T2/S2 4 19<br />
S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S2_E/S2_SL/S1_D/S1_T2/S2 11 20<br />
S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S2_E/S2_SL/S1_D/S3_T1/S3 4 21<br />
S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S2_E/S2_SL/S1_D/S3_T2/S2 2 22<br />
S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S2_E/S3_SL/S1_D/S1_T2/S2 6 23<br />
S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S2_E/S3_SL/S1_D/S3_T2/S2 1 24<br />
S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S3_E/S1_SL/S1_D/S1_T2/S2 65 25<br />
S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S3_E/S1_SL/S1_D/S1_T4/S2 4 26<br />
S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S3_E/S1_SL/S1_D/S3_T1/S3 12 27<br />
S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S3_E/S1_SL/S1_D/S3_T2/S2 15 28<br />
S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S3_E/S2_SL/S1_D/S1_T2/S2 1 29<br />
S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S3_E/S3_SL/S1_D/S1_T2/S2 2 30<br />
S/M1_S/M2_S/M3_S/M4_S/M5_IRR/S3_E/S3_SL/S1_D/S3_T2/S2 8 31<br />
Table 133– Grain maize <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID for Grain maize in Non-Irrigated Scenario<br />
183
Annex II – Grain maize<br />
S<strong>of</strong>t Wheat – Barley <strong>Agro</strong>-pedo-climatological zones<br />
Non Irrigated Scenario<br />
CL_WB_SW_<strong>Zoning</strong>_NIRR COUNT ZONE_ID<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL1/S1_D3/s3_T2/S2 41 1<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL1/S1_D3/s3_T4/S1 22 2<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL1/S1_D4/S1_T1/S3 26 3<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL1/S1_D4/S1_T2/S2 54 4<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL1/S1_D4/S1_T3/S1 1 5<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL1/S1_D4/S1_T4/S1 38 6<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T1/S3 32 7<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T2/S2 392 8<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T3/S1 55 9<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T4/S1 205 10<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL2/S1_D4/S1_T2/S2 1 11<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL2/S1_D5/S1_T2/S2 69 12<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL3/S1_D4/S1_T4/S1 31 13<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL3/S1_D5/S1_T2/S2 14 14<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL3/S1_D5/S1_T4/S1 1 15<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL4/S2_D3/s3_T2/S2 2 16<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL4/S2_D4/S1_T2/S2 1 17<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL4/S2_D5/S1_T2/S2 8 18<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL5/s3_D3/s3_T2/S2 2 19<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL5/s3_D4/S1_T2/S2 3 20<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL5/s3_D5/S1_T2/S2 5 21<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E1/S1_SL5/s3_D5/S1_T4/S1 6 22<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL1/S1_D3/s3_T2/S2 8 23<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL1/S1_D4/S1_T1/S3 18 24<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL1/S1_D4/S1_T2/S2 45 25<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL1/S1_D4/S1_T3/S1 3 26<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL1/S1_D4/S1_T4/S1 2 27<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL1/S1_D5/S1_T2/S2 100 28<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL1/S1_D5/S1_T3/S1 17 29<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL1/S1_D5/S1_T4/S1 19 30<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL2/S1_D4/S1_T2/S2 7 31<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL2/S1_D5/S1_T2/S2 18 32<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL3/S1_D4/S1_T4/S1 38 33<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL3/S1_D5/S1_T2/S2 20 34<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL3/S1_D5/S1_T4/S1 8 35<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL4/S2_D3/s3_T2/S2 6 36<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL4/S2_D4/S1_T2/S2 5 37<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL4/S2_D5/S1_T2/S2 15 38<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL5/s3_D3/s3_T2/S2 6 39<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL5/s3_D4/S1_T2/S2 7 40<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL5/s3_D5/S1_T2/S2 9 41<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E2/S1_SL5/s3_D5/S1_T4/S1 5 42<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E3/S1_SL1/S1_D4/S1_T1/S3 5 43<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E3/S1_SL1/S1_D4/S1_T2/S2 31 44<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E3/S1_SL1/S1_D5/S1_T2/S2 41 45<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E3/S1_SL1/S1_D5/S1_T3/S1 1 46<br />
184
Annex II – Grain maize<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E3/S1_SL2/S1_D4/S1_T2/S2 6 47<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E3/S1_SL2/S1_D5/S1_T2/S2 2 48<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E3/S1_SL3/S1_D3/s3_T2/S2 1 49<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E3/S1_SL3/S1_D4/S1_T4/S1 7 50<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E3/S1_SL3/S1_D5/S1_T2/S2 2 51<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E3/S1_SL3/S1_D5/S1_T4/S1 25 52<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E3/S1_SL4/S2_D3/s3_T2/S2 15 53<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E3/S1_SL4/S2_D4/S1_T2/S2 10 54<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E3/S1_SL4/S2_D5/S1_T2/S2 20 55<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E3/S1_SL5/s3_D3/s3_T2/S2 4 56<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E3/S1_SL5/s3_D4/S1_T2/S2 5 57<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E3/S1_SL5/s3_D5/S1_T2/S2 6 58<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E3/S1_SL5/s3_D5/S1_T4/S1 4 59<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E4/s2_SL1/S1_D4/S1_T2/S2 1 60<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E4/s2_SL1/S1_D5/S1_T2/S2 3 61<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E4/s2_SL2/S1_D5/S1_T2/S2 1 62<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E4/s2_SL3/S1_D5/S1_T4/S1 3 63<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E4/s2_SL4/S2_D3/s3_T2/S2 10 64<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E4/s2_SL4/S2_D5/S1_T2/S2 17 65<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E4/s2_SL5/s3_D3/s3_T2/S2 4 66<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E4/s2_SL5/s3_D4/S1_T2/S2 4 67<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S1_E4/s2_SL5/s3_D5/S1_T2/S2 1 68<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL1/S1_D3/s3_T2/S2 117 69<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL1/S1_D4/S1_T1/S3 30 70<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL1/S1_D4/S1_T2/S2 144 71<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL1/S1_D4/S1_T4/S1 52 72<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T1/S3 78 73<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T2/S2 384 74<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T3/S1 6 75<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T4/S1 126 76<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL2/S1_D4/S1_T2/S2 18 77<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL2/S1_D5/S1_T2/S2 100 78<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL3/S1_D3/s3_T2/S2 7 79<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL3/S1_D4/S1_T4/S1 57 80<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL3/S1_D5/S1_T2/S2 11 81<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL3/S1_D5/S1_T4/S1 10 82<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL4/S2_D4/S1_T2/S2 2 83<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL4/S2_D5/S1_T2/S2 14 84<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL5/s3_D3/s3_T2/S2 1 85<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL5/s3_D4/S1_T2/S2 51 86<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL5/s3_D5/S1_T2/S2 7 87<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E1/S1_SL5/s3_D5/S1_T4/S1 10 88<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL1/S1_D3/s3_T2/S2 41 89<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL1/S1_D4/S1_T1/S3 4 90<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL1/S1_D4/S1_T2/S2 78 91<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL1/S1_D4/S1_T4/S1 13 92<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL1/S1_D5/S1_T2/S2 106 93<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL1/S1_D5/S1_T3/S1 7 94<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL1/S1_D5/S1_T4/S1 1 95<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL2/S1_D4/S1_T2/S2 7 96<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL2/S1_D5/S1_T2/S2 120 97<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL3/S1_D3/s3_T2/S2 7 98<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL3/S1_D4/S1_T4/S1 52 99<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL3/S1_D5/S1_T2/S2 30 100<br />
185
Annex II – Grain maize<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL3/S1_D5/S1_T4/S1 21 101<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL4/S2_D3/s3_T2/S2 1 102<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL4/S2_D4/S1_T2/S2 6 103<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL4/S2_D5/S1_T2/S2 31 104<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL5/s3_D3/s3_T2/S2 23 105<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL5/s3_D4/S1_T2/S2 38 106<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL5/s3_D4/S1_T4/S1 1 107<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL5/s3_D5/S1_T2/S2 10 108<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E2/S1_SL5/s3_D5/S1_T4/S1 31 109<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E3/S1_SL1/S1_D3/s3_T2/S2 6 110<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E3/S1_SL1/S1_D4/S1_T2/S2 64 111<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E3/S1_SL1/S1_D5/S1_T2/S2 67 112<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E3/S1_SL2/S1_D3/s3_T2/S2 3 113<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E3/S1_SL2/S1_D4/S1_T2/S2 2 114<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E3/S1_SL2/S1_D5/S1_T2/S2 91 115<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E3/S1_SL3/S1_D3/s3_T2/S2 23 116<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E3/S1_SL3/S1_D4/S1_T2/S2 10 117<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E3/S1_SL3/S1_D4/S1_T4/S1 47 118<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E3/S1_SL3/S1_D5/S1_T2/S2 17 119<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E3/S1_SL3/S1_D5/S1_T4/S1 34 120<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E3/S1_SL4/S2_D3/s3_T2/S2 15 121<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E3/S1_SL4/S2_D4/S1_T2/S2 11 122<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E3/S1_SL4/S2_D5/S1_T2/S2 83 123<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E3/S1_SL5/s3_D3/s3_T2/S2 22 124<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E3/S1_SL5/s3_D4/S1_T2/S2 46 125<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E3/S1_SL5/s3_D4/S1_T4/S1 15 126<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E3/S1_SL5/s3_D5/S1_T2/S2 32 127<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E3/S1_SL5/s3_D5/S1_T4/S1 47 128<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E4/s2_SL1/S1_D3/s3_T2/S2 1 129<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E4/s2_SL1/S1_D4/S1_T2/S2 4 130<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E4/s2_SL1/S1_D5/S1_T2/S2 1 131<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E4/s2_SL2/S1_D4/S1_T2/S2 5 132<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E4/s2_SL2/S1_D5/S1_T2/S2 19 133<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E4/s2_SL3/S1_D3/s3_T2/S2 1 134<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E4/s2_SL3/S1_D4/S1_T2/S2 1 135<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E4/s2_SL3/S1_D4/S1_T3/S1 1 136<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E4/s2_SL3/S1_D4/S1_T4/S1 11 137<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E4/s2_SL3/S1_D5/S1_T4/S1 1 138<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E4/s2_SL4/S2_D3/s3_T2/S2 10 139<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E4/s2_SL4/S2_D4/S1_T2/S2 4 140<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E4/s2_SL4/S2_D5/S1_T2/S2 55 141<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E4/s2_SL5/s3_D3/s3_T2/S2 11 142<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E4/s2_SL5/s3_D4/S1_T2/S2 17 143<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E4/s2_SL5/s3_D4/S1_T4/S1 6 144<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E4/s2_SL5/s3_D5/S1_T2/S2 14 145<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/S2_E4/s2_SL5/s3_D5/S1_T4/S1 46 146<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/s3_E1/S1_SL1/S1_D3/s3_T2/S2 2 147<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/s3_E1/S1_SL3/S1_D4/S1_T4/S1 1 148<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/s3_E2/S1_SL1/S1_D3/s3_T2/S2 3 149<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/s3_E2/S1_SL1/S1_D4/S1_T2/S2 4 150<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/s3_E2/S1_SL2/S1_D3/s3_T2/S2 3 151<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/s3_E3/S1_SL1/S1_D3/s3_T2/S2 6 152<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/s3_E3/S1_SL1/S1_D4/S1_T2/S2 10 153<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/s3_E3/S1_SL2/S1_D3/s3_T2/S2 13 154<br />
186
Annex II – Grain maize<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S/M6_IRR/s3_E4/s2_SL1/S1_D4/S1_T2/S2 9 155<br />
Table 134– S<strong>of</strong>t Wheat - Barley <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Non-Irrigated Scenario<br />
187
Annex II – Grain maize<br />
Durum Wheat <strong>Agro</strong>-pedo-climatological zones<br />
Non Irrigated Scenario<br />
CL_WB_HW_ZONING_NIRR COUNT ID_HW_ZONING<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D3/s3_T2/S2 41 1<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D3/s3_T4/S1 22 2<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D4/S1_T1/S3 26 3<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D4/S1_T2/S2 46 4<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D4/S1_T3/S1 1 5<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D4/S1_T4/S1 37 6<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T1/S3 25 7<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T2/S2 361 8<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T3/S1 52 9<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T4/S1 199 10<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL2/S1_D4/S1_T2/S2 1 11<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL2/S1_D5/S1_T2/S2 31 12<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL3/S1_D4/S1_T4/S1 9 13<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL3/S1_D5/S1_T2/S2 5 14<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL4/S2_D3/s3_T2/S2 2 15<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL4/S2_D4/S1_T2/S2 1 16<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL4/S2_D5/S1_T2/S2 3 17<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL5/S3_D3/s3_T2/S2 6 18<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL5/S3_D4/S1_T2/S2 3 19<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL5/S3_D5/S1_T2/S2 5 20<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL5/S3_D5/S1_T4/S1 6 21<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D3/s3_T2/S2 8 22<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D4/S1_T1/S3 18 23<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D4/S1_T2/S2 43 24<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D4/S1_T3/S1 3 25<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D4/S1_T4/S1 2 26<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D5/S1_T2/S2 96 27<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D5/S1_T3/S1 14 28<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D5/S1_T4/S1 11 29<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL2/S1_D4/S1_T2/S2 7 30<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL2/S1_D5/S1_T2/S2 10 31<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL3/S1_D4/S1_T4/S1 24 32<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL3/S1_D5/S1_T2/S2 11 33<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL3/S1_D5/S1_T4/S1 7 34<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL4/S2_D3/s3_T2/S2 3 35<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL4/S2_D4/S1_T2/S2 5 36<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL4/S2_D5/S1_T2/S2 14 37<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL5/S3_D3/s3_T2/S2 10 38<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL5/S3_D4/S1_T2/S2 8 39<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL5/S3_D5/S1_T2/S2 9 40<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL5/S3_D5/S1_T4/S1 5 41<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL1/S1_D4/S1_T1/S3 5 42<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL1/S1_D4/S1_T2/S2 31 43<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL1/S1_D5/S1_T2/S2 40 44<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL1/S1_D5/S1_T3/S1 1 45<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL2/S1_D4/S1_T2/S2 6 46<br />
188
Annex II – Grain maize<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL2/S1_D5/S1_T2/S2 1 47<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL3/S1_D3/s3_T2/S2 1 48<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL3/S1_D4/S1_T4/S1 3 49<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL3/S1_D5/S1_T2/S2 1 50<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL3/S1_D5/S1_T4/S1 17 51<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL4/S2_D3/s3_T2/S2 11 52<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL4/S2_D4/S1_T2/S2 11 53<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL4/S2_D5/S1_T2/S2 11 54<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL5/S3_D3/s3_T2/S2 5 55<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL5/S3_D4/S1_T2/S2 6 56<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL5/S3_D5/S1_T2/S2 6 57<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL5/S3_D5/S1_T4/S1 4 58<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E4/S2_SL2/S1_D5/S1_T2/S2 1 59<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E4/S2_SL3/S1_D5/S1_T4/S1 2 60<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E4/S2_SL4/S2_D3/s3_T2/S2 2 61<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E4/S2_SL4/S2_D5/S1_T2/S2 2 62<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E4/S2_SL5/S3_D3/s3_T2/S2 1 63<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E4/S2_SL5/S3_D4/S1_T2/S2 4 64<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E4/S2_SL5/S3_D5/S1_T2/S2 1 65<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D3/s3_T2/S2 138 66<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D4/S1_T1/S3 30 67<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D4/S1_T2/S2 163 68<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D4/S1_T4/S1 50 69<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T1/S3 115 70<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T2/S2 548 71<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T3/S1 6 72<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T4/S1 128 73<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL2/S1_D4/S1_T2/S2 23 74<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL2/S1_D5/S1_T2/S2 179 75<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL3/S1_D3/s3_T2/S2 11 76<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL3/S1_D4/S1_T4/S1 76 77<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL3/S1_D5/S1_T2/S2 35 78<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL3/S1_D5/S1_T4/S1 40 79<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL4/S2_D4/S1_T2/S2 2 80<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL4/S2_D5/S1_T2/S2 30 81<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL5/S3_D4/S1_T2/S2 58 82<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL5/S3_D4/S1_T4/S1 26 83<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL5/S3_D5/S1_T2/S2 16 84<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL5/S3_D5/S1_T4/S1 10 85<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D3/s3_T2/S2 36 86<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D4/S1_T1/S3 4 87<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D4/S1_T2/S2 85 88<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D4/S1_T4/S1 7 89<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D5/S1_T2/S2 103 90<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D5/S1_T3/S1 7 91<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D5/S1_T4/S1 1 92<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL2/S1_D4/S1_T2/S2 6 93<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL2/S1_D5/S1_T2/S2 62 94<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL3/S1_D3/s3_T2/S2 7 95<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL3/S1_D4/S1_T4/S1 56 96<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL3/S1_D5/S1_T2/S2 28 97<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL3/S1_D5/S1_T4/S1 26 98<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL4/S2_D4/S1_T2/S2 5 99<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL4/S2_D5/S1_T2/S2 33 100<br />
189
Annex II – Grain maize<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL5/S3_D3/s3_T2/S2 12 101<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL5/S3_D4/S1_T2/S2 44 102<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL5/S3_D4/S1_T4/S1 31 103<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL5/S3_D5/S1_T2/S2 16 104<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL5/S3_D5/S1_T4/S1 30 105<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL1/S1_D3/s3_T2/S2 6 106<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL1/S1_D4/S1_T2/S2 62 107<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL1/S1_D5/S1_T2/S2 51 108<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL2/S1_D3/s3_T2/S2 3 109<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL2/S1_D4/S1_T2/S2 2 110<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL2/S1_D5/S1_T2/S2 61 111<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL3/S1_D3/s3_T2/S2 20 112<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL3/S1_D4/S1_T2/S2 9 113<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL3/S1_D4/S1_T4/S1 59 114<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL3/S1_D5/S1_T2/S2 1 115<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL3/S1_D5/S1_T4/S1 25 116<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL4/S2_D3/s3_T2/S2 4 117<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL4/S2_D4/S1_T2/S2 8 118<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL4/S2_D5/S1_T2/S2 85 119<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL5/S3_D3/s3_T2/S2 5 120<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL5/S3_D4/S1_T2/S2 38 121<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL5/S3_D4/S1_T4/S1 61 122<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL5/S3_D5/S1_T2/S2 39 123<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL5/S3_D5/S1_T4/S1 41 124<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/S2_SL1/S1_D3/s3_T2/S2 1 125<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/S2_SL1/S1_D4/S1_T2/S2 6 126<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/S2_SL1/S1_D5/S1_T2/S2 6 127<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/S2_SL2/S1_D4/S1_T2/S2 2 128<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/S2_SL2/S1_D5/S1_T2/S2 9 129<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/S2_SL3/S1_D3/s3_T2/S2 15 130<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/S2_SL3/S1_D4/S1_T4/S1 11 131<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/S2_SL3/S1_D5/S1_T2/S2 3 132<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/S2_SL3/S1_D5/S1_T4/S1 6 133<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/S2_SL4/S2_D3/s3_T2/S2 1 134<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/S2_SL4/S2_D4/S1_T2/S2 1 135<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/S2_SL4/S2_D5/S1_T2/S2 60 136<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/S2_SL5/S3_D4/S1_T2/S2 5 137<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/S2_SL5/S3_D4/S1_T4/S1 13 138<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/S2_SL5/S3_D5/S1_T2/S2 13 139<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/S2_SL5/S3_D5/S1_T4/S1 12 140<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL1/S1_D4/S1_T2/S2 10 141<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL1/S1_D5/S1_T2/S2 4 142<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL3/S1_D4/S1_T4/S1 1 143<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL3/S1_D5/S1_T4/S1 2 144<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S1_SL1/S1_D3/s3_T2/S2 2 145<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S1_SL1/S1_D4/S1_T2/S2 9 146<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S1_SL2/S1_D3/s3_T2/S2 3 147<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S1_SL1/S1_D3/s3_T2/S2 6 148<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S1_SL1/S1_D4/S1_T2/S2 15 149<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S1_SL2/S1_D3/s3_T2/S2 13 150<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S1_SL2/S1_D5/S1_T2/S2 1 151<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S1_SL3/S1_D5/S1_T4/S1 1 152<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S1_SL4/S2_D5/S1_T2/S2 2 153<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S1_SL5/S3_D4/S1_T2/S2 2 154<br />
190
Annex II – Grain maize<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E4/S2_SL1/S1_D4/S1_T2/S2 9 155<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E4/S2_SL2/S1_D4/S1_T2/S2 2 156<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E4/S2_SL4/S2_D5/S1_T2/S2 1 157<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E4/S2_SL5/S3_D4/S1_T2/S2 1 158<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E4/S2_SL5/S3_D5/S1_T2/S2 1 159<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E4/S2_SL5/S3_D5/S1_T4/S1 3 160<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E1/S1_SL1/S1_D4/S1_T2/S2 4 161<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T1/S3 7 162<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T2/S2 34 163<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T4/S1 1 164<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E1/S1_SL2/S1_D5/S1_T2/S2 38 165<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E1/S1_SL3/S1_D4/S1_T4/S1 22 166<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E1/S1_SL3/S1_D5/S1_T2/S2 9 167<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E1/S1_SL3/S1_D5/S1_T4/S1 1 168<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E1/S1_SL4/S2_D5/S1_T2/S2 7 169<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E2/S1_SL1/S1_D4/S1_T2/S2 2 170<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E2/S1_SL1/S1_D5/S1_T2/S2 4 171<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E2/S1_SL2/S1_D5/S1_T2/S2 8 172<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E2/S1_SL3/S1_D4/S1_T4/S1 10 173<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E2/S1_SL3/S1_D5/S1_T2/S2 9 174<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E2/S1_SL3/S1_D5/S1_T4/S1 1 175<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E2/S1_SL4/S2_D3/s3_T2/S2 1 176<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E2/S1_SL4/S2_D5/S1_T2/S2 4 177<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E3/S1_SL1/S1_D4/S1_T2/S2 2 178<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E3/S1_SL1/S1_D5/S1_T2/S2 2 179<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E3/S1_SL3/S1_D4/S1_T4/S1 3 180<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E3/S1_SL3/S1_D5/S1_T2/S2 1 181<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E3/S1_SL3/S1_D5/S1_T4/S1 7 182<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E3/S1_SL4/S2_D3/s3_T2/S2 2 183<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E3/S1_SL4/S2_D5/S1_T2/S2 7 184<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E4/S2_SL1/S1_D4/S1_T2/S2 1 185<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E4/S2_SL1/S1_D5/S1_T2/S2 3 186<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E4/S2_SL3/S1_D5/S1_T4/S1 1 187<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E4/S2_SL4/S2_D3/s3_T2/S2 3 188<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E4/S2_SL4/S2_D5/S1_T2/S2 9 189<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S1_E4/S2_SL5/S3_D3/s3_T2/S2 4 190<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T1/S3 7 191<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T2/S2 19 192<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T4/S1 1 193<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E1/S1_SL2/S1_D5/S1_T2/S2 11 194<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E1/S1_SL3/S1_D3/s3_T2/S2 7 195<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E1/S1_SL3/S1_D4/S1_T4/S1 2 196<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E1/S1_SL4/S2_D5/S1_T2/S2 1 197<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E1/S1_SL5/S3_D3/s3_T2/S2 1 198<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E1/S1_SL5/S3_D4/S1_T2/S2 2 199<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E2/S1_SL1/S1_D3/s3_T2/S2 2 200<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E2/S1_SL1/S1_D4/S1_T4/S1 2 201<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E2/S1_SL1/S1_D5/S1_T2/S2 19 202<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E2/S1_SL2/S1_D5/S1_T2/S2 22 203<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E2/S1_SL3/S1_D3/s3_T2/S2 2 204<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E2/S1_SL3/S1_D4/S1_T4/S1 9 205<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E2/S1_SL3/S1_D5/S1_T2/S2 8 206<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E2/S1_SL3/S1_D5/S1_T4/S1 1 207<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E2/S1_SL4/S2_D3/s3_T2/S2 1 208<br />
191
Annex II – Grain maize<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E2/S1_SL4/S2_D4/S1_T2/S2 1 209<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E2/S1_SL4/S2_D5/S1_T2/S2 7 210<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E2/S1_SL5/S3_D3/s3_T2/S2 7 211<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E2/S1_SL5/S3_D4/S1_T2/S2 7 212<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E3/S1_SL1/S1_D5/S1_T2/S2 6 213<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E3/S1_SL2/S1_D5/S1_T2/S2 8 214<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E3/S1_SL3/S1_D3/s3_T2/S2 6 215<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E3/S1_SL3/S1_D4/S1_T2/S2 1 216<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E3/S1_SL3/S1_D4/S1_T4/S1 4 217<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E3/S1_SL3/S1_D5/S1_T2/S2 5 218<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E3/S1_SL3/S1_D5/S1_T4/S1 8 219<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E3/S1_SL4/S2_D3/s3_T2/S2 5 220<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E3/S1_SL4/S2_D4/S1_T2/S2 3 221<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E3/S1_SL4/S2_D5/S1_T2/S2 11 222<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E3/S1_SL5/S3_D3/s3_T2/S2 5 223<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E3/S1_SL5/S3_D4/S1_T2/S2 8 224<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E3/S1_SL5/S3_D5/S1_T2/S2 2 225<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E4/S2_SL4/S2_D3/s3_T2/S2 2 226<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E4/S2_SL4/S2_D4/S1_T2/S2 1 227<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E4/S2_SL4/S2_D5/S1_T2/S2 1 228<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E4/S2_SL5/S3_D3/s3_T2/S2 1 229<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S2/M6_IRR/S2_E4/S2_SL5/S3_D5/S1_T2/S2 1 230<br />
Table 135– Durum Wheat <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Non-Irrigated Scenario<br />
192
Annex II – Grain maize<br />
Tomato <strong>Agro</strong>-pedo-climatological zones<br />
Non Irrigated Scenario<br />
CL_WB_PD_ZONING_NIRR COUNT ID_ZON_NIR<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S2_E1/S1_SL1/S1_D5/S1_T2/S1 18 1<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D3/S3_T2/S1 5 2<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D4/S1_T2/S1 43 3<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T1/S2 51 4<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T2/S1 303 5<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T4/S3 8 6<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL2/S1_D4/S1_T2/S1 17 7<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL2/S1_D5/S1_T2/S1 48 8<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL3/S2_D4/S1_T4/S3 15 9<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL3/S2_D5/S1_T2/S1 25 10<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL3/S2_D5/S1_T4/S3 21 11<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL4/S3_D5/S1_T2/S1 15 12<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D3/S3_T2/S1 7 13<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D4/S1_T2/S1 14 14<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D5/S1_T2/S1 30 15<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL2/S1_D4/S1_T2/S1 8 16<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL2/S1_D5/S1_T2/S1 11 17<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D4/S1_T4/S3 5 18<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D5/S1_T2/S1 8 19<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D5/S1_T4/S3 11 20<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL4/S3_D5/S1_T2/S1 16 21<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL1/S1_D4/S1_T2/S1 2 22<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL1/S1_D5/S1_T2/S1 4 23<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL2/S1_D4/S1_T2/S1 7 24<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL2/S1_D5/S1_T2/S1 3 25<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL3/S2_D4/S1_T4/S3 5 26<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL3/S2_D5/S1_T4/S3 6 27<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL4/S3_D5/S1_T2/S1 14 28<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E4/s3_SL1/S1_D4/S1_T2/S1 3 29<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E4/s3_SL1/S1_D5/S1_T2/S1 1 30<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E4/s3_SL2/S1_D5/S1_T2/S1 3 31<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E4/s3_SL3/S2_D5/S1_T2/S1 3 32<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E4/s3_SL3/S2_D5/S1_T4/S3 2 33<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E4/s3_SL4/S3_D5/S1_T2/S1 7 34<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D4/S1_T2/S1 23 35<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T1/S2 31 36<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T2/S1 43 37<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T4/S3 2 38<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL2/S1_D5/S1_T2/S1 37 39<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL3/S2_D4/S1_T4/S3 27 40<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL3/S2_D5/S1_T4/S3 2 41<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL4/S3_D5/S1_T2/S1 2 42<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D4/S1_T2/S1 23 43<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D5/S1_T2/S1 4 44<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL2/S1_D5/S1_T2/S1 17 45<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D4/S1_T4/S3 15 46<br />
193
Annex II – Grain maize<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D5/S1_T2/S1 6 47<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D5/S1_T4/S3 2 48<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL4/S3_D5/S1_T2/S1 4 49<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL1/S1_D4/S1_T2/S1 9 50<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL1/S1_D5/S1_T2/S1 3 51<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL2/S1_D5/S1_T2/S1 12 52<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL3/S2_D4/S1_T4/S3 3 53<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL3/S2_D5/S1_T4/S3 4 54<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL4/S3_D5/S1_T2/S1 2 55<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E4/s3_SL2/S1_D5/S1_T2/S1 1 56<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E4/s3_SL3/S2_D5/S1_T4/S3 1 57<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E4/s3_SL4/S3_D5/S1_T2/S1 2 58<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S1_E1/S1_SL1/S1_D3/S3_T2/S1 12 59<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S1_E1/S1_SL1/S1_D3/S3_T4/S3 6 60<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S1_E1/S1_SL1/S1_D5/S1_T2/S1 115 61<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S1_E1/S1_SL1/S1_D5/S1_T3/S2 3 62<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S1_E2/S1_SL1/S1_D5/S1_T2/S1 8 63<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S1_E3/S3_SL1/S1_D5/S1_T2/S1 1 64<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E1/S1_SL1/S1_D3/S3_T2/S1 18 65<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E1/S1_SL1/S1_D3/S3_T4/S3 16 66<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E1/S1_SL1/S1_D4/S1_T1/S2 19 67<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E1/S1_SL1/S1_D4/S1_T2/S1 14 68<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E1/S1_SL1/S1_D5/S1_T2/S1 54 69<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E1/S1_SL1/S1_D5/S1_T4/S3 4 70<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E2/S1_SL1/S1_D3/S3_T2/S1 1 71<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E2/S1_SL1/S1_D4/S1_T2/S1 1 72<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E2/S1_SL1/S1_D5/S1_T2/S1 38 73<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E3/S3_SL1/S1_D4/S1_T2/S1 1 74<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E3/S3_SL1/S1_D5/S1_T2/S1 2 75<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D3/S3_T2/S1 11 76<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D4/S1_T1/S2 34 77<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D4/S1_T2/S1 41 78<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D4/S1_T3/S2 1 79<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D4/S1_T4/S3 51 80<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T1/S2 21 81<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T2/S1 229 82<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T3/S2 51 83<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T4/S3 264 84<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL2/S1_D5/S1_T2/S1 68 85<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL3/S2_D4/S1_T4/S3 41 86<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL3/S2_D5/S1_T2/S1 18 87<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL3/S2_D5/S1_T4/S3 1 88<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL4/S3_D3/S3_T2/S1 2 89<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL4/S3_D4/S1_T2/S1 3 90<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL4/S3_D5/S1_T2/S1 9 91<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D4/S1_T2/S1 14 92<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D4/S1_T3/S2 1 93<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D4/S1_T4/S3 8 94<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D5/S1_T2/S1 21 95<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D5/S1_T3/S2 12 96<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D5/S1_T4/S3 11 97<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL2/S1_D5/S1_T2/S1 12 98<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D3/S3_T2/S1 2 99<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D4/S1_T4/S3 31 100<br />
194
Annex II – Grain maize<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D5/S1_T2/S1 18 101<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D5/S1_T4/S3 9 102<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL4/S3_D3/S3_T2/S1 3 103<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL4/S3_D4/S1_T2/S1 8 104<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL4/S3_D5/S1_T2/S1 14 105<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL1/S1_D4/S1_T2/S1 10 106<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL1/S1_D5/S1_T2/S1 9 107<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL2/S1_D5/S1_T2/S1 4 108<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL3/S2_D3/S3_T2/S1 6 109<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL3/S2_D4/S1_T4/S3 9 110<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL3/S2_D5/S1_T2/S1 2 111<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL3/S2_D5/S1_T4/S3 17 112<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL4/S3_D3/S3_T2/S1 12 113<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL4/S3_D4/S1_T2/S1 11 114<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL4/S3_D5/S1_T2/S1 17 115<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E4/s3_SL1/S1_D4/S1_T2/S1 1 116<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E4/s3_SL3/S2_D5/S1_T4/S3 2 117<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E4/s3_SL4/S3_D3/S3_T2/S1 2 118<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E4/s3_SL4/S3_D5/S1_T2/S1 6 119<br />
Table 136– Tomato <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Non-Irrigated Scenario<br />
195
Annex II – Grain maize<br />
Irrigated Scenario<br />
CL_WB_PD_IRR COUNT ID_ZON_IRR<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D3/S3_T2/S1 89 1<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D4/S1_T2/S1 33 2<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D4/S1_T4/S3 2 3<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D5/S1_T1/S2 27 4<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D5/S1_T2/S1 116 5<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D5/S1_T4/S3 4 6<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL2/S1_D4/S1_T2/S1 2 7<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL2/S1_D5/S1_T2/S1 52 8<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL3/S2_D3/S3_T2/S1 11 9<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL3/S2_D4/S1_T4/S3 14 10<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL3/S2_D5/S1_T2/S1 1 11<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL3/S2_D5/S1_T4/S3 12 12<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL4/S3_D5/S1_T2/S1 9 13<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL1/S1_D3/S3_T2/S1 22 14<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL1/S1_D4/S1_T2/S1 28 15<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL1/S1_D5/S1_T2/S1 41 16<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL1/S1_D5/S1_T4/S3 1 17<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL2/S1_D3/S3_T2/S1 3 18<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL2/S1_D4/S1_T2/S1 2 19<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL2/S1_D5/S1_T2/S1 16 20<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL3/S2_D3/S3_T2/S1 3 21<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL3/S2_D4/S1_T4/S3 19 22<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL3/S2_D5/S1_T2/S1 5 23<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL3/S2_D5/S1_T4/S3 5 24<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL4/S3_D5/S1_T2/S1 13 25<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL1/S1_D3/S3_T2/S1 9 26<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL1/S1_D4/S1_T2/S1 21 27<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL1/S1_D5/S1_T2/S1 14 28<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL2/S1_D3/S3_T2/S1 12 29<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL2/S1_D4/S1_T2/S1 1 30<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL2/S1_D5/S1_T2/S1 26 31<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL3/S2_D3/S3_T2/S1 18 32<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL3/S2_D4/S1_T2/S1 6 33<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL3/S2_D4/S1_T4/S3 18 34<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL3/S2_D5/S1_T2/S1 1 35<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL3/S2_D5/S1_T4/S3 3 36<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL4/S3_D5/S1_T2/S1 49 37<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E4/s3_SL1/S1_D3/S3_T2/S1 1 38<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E4/s3_SL1/S1_D4/S1_T2/S1 1 39<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E4/s3_SL1/S1_D5/S1_T2/S1 4 40<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E4/s3_SL2/S1_D4/S1_T2/S1 3 41<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E4/s3_SL2/S1_D5/S1_T2/S1 2 42<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E4/s3_SL3/S2_D3/S3_T2/S1 14 43<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E4/s3_SL3/S2_D4/S1_T4/S3 1 44<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E4/s3_SL3/S2_D5/S1_T4/S3 3 45<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E4/s3_SL4/S3_D4/S1_T2/S1 1 46<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/NS1_E4/s3_SL4/S3_D5/S1_T2/S1 10 47<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S2_E1/S1_SL1/S1_D5/S1_T2/S1 18 48<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D3/S3_T2/S1 5 49<br />
196
Annex II – Grain maize<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D4/S1_T2/S1 43 50<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T1/S2 51 51<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T2/S1 303 52<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T4/S3 8 53<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL2/S1_D4/S1_T2/S1 17 54<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL2/S1_D5/S1_T2/S1 48 55<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL3/S2_D4/S1_T4/S3 15 56<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL3/S2_D5/S1_T2/S1 25 57<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL3/S2_D5/S1_T4/S3 21 58<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL4/S3_D5/S1_T2/S1 15 59<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D3/S3_T2/S1 7 60<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D4/S1_T2/S1 14 61<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D5/S1_T2/S1 30 62<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL2/S1_D4/S1_T2/S1 8 63<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL2/S1_D5/S1_T2/S1 11 64<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D4/S1_T4/S3 5 65<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D5/S1_T2/S1 8 66<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D5/S1_T4/S3 11 67<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL4/S3_D5/S1_T2/S1 16 68<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL1/S1_D4/S1_T2/S1 2 69<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL1/S1_D5/S1_T2/S1 4 70<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL2/S1_D4/S1_T2/S1 7 71<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL2/S1_D5/S1_T2/S1 3 72<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL3/S2_D4/S1_T4/S3 5 73<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL3/S2_D5/S1_T4/S3 6 74<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL4/S3_D5/S1_T2/S1 14 75<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E4/s3_SL1/S1_D4/S1_T2/S1 3 76<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E4/s3_SL1/S1_D5/S1_T2/S1 1 77<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E4/s3_SL2/S1_D5/S1_T2/S1 3 78<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E4/s3_SL3/S2_D5/S1_T2/S1 3 79<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E4/s3_SL3/S2_D5/S1_T4/S3 2 80<br />
S/M1_S1/M2_S1/M3_S/M4_S/M5_IRR/S3_E4/s3_SL4/S3_D5/S1_T2/S1 7 81<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D3/S3_T2/S1 14 82<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D4/S1_T2/S1 13 83<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D4/S1_T4/S3 8 84<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D5/S1_T1/S2 11 85<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D5/S1_T2/S1 29 86<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D5/S1_T4/S3 7 87<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL2/S1_D4/S1_T2/S1 5 88<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL2/S1_D5/S1_T2/S1 27 89<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL3/S2_D4/S1_T4/S3 6 90<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL3/S2_D5/S1_T2/S1 3 91<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL3/S2_D5/S1_T4/S3 2 92<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL4/S3_D5/S1_T2/S1 2 93<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL1/S1_D3/S3_T2/S1 2 94<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL1/S1_D4/S1_T2/S1 11 95<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL1/S1_D5/S1_T2/S1 4 96<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL2/S1_D4/S1_T2/S1 3 97<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL2/S1_D5/S1_T2/S1 10 98<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL3/S2_D4/S1_T4/S3 4 99<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL3/S2_D5/S1_T2/S1 4 100<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL2/S1_D5/S1_T2/S1 1 101<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL3/S2_D4/S1_T2/S1 1 102<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL4/S3_D5/S1_T2/S1 1 103<br />
197
Annex II – Grain maize<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/NS1_E4/s3_SL2/S1_D4/S1_T2/S1 1 104<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D4/S1_T2/S1 23 105<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T1/S2 31 106<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T2/S1 43 107<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T4/S3 2 108<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL2/S1_D5/S1_T2/S1 37 109<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL3/S2_D4/S1_T4/S3 27 110<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL3/S2_D5/S1_T4/S3 2 111<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E1/S1_SL4/S3_D5/S1_T2/S1 2 112<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D4/S1_T2/S1 23 113<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D5/S1_T2/S1 4 114<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL2/S1_D5/S1_T2/S1 17 115<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D4/S1_T4/S3 15 116<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D5/S1_T2/S1 6 117<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D5/S1_T4/S3 2 118<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E2/S1_SL4/S3_D5/S1_T2/S1 4 119<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL1/S1_D4/S1_T2/S1 9 120<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL1/S1_D5/S1_T2/S1 3 121<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL2/S1_D5/S1_T2/S1 12 122<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL3/S2_D4/S1_T4/S3 3 123<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL3/S2_D5/S1_T4/S3 4 124<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E3/S3_SL4/S3_D5/S1_T2/S1 2 125<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E4/s3_SL2/S1_D5/S1_T2/S1 1 126<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E4/s3_SL3/S2_D5/S1_T4/S3 1 127<br />
S/M1_S2/M2_S1/M3_S/M4_S/M5_IRR/S3_E4/s3_SL4/S3_D5/S1_T2/S1 2 128<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D3/S3_T2/S1 30 129<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D4/S1_T1/S2 3 130<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D4/S1_T2/S1 51 131<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D4/S1_T4/S3 26 132<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D5/S1_T1/S2 9 133<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D5/S1_T2/S1 38 134<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D5/S1_T3/S2 4 135<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL1/S1_D5/S1_T4/S3 39 136<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL2/S1_D5/S1_T2/S1 22 137<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL3/S2_D3/S3_T2/S1 7 138<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL3/S2_D4/S1_T4/S3 5 139<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL3/S2_D5/S1_T2/S1 1 140<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL3/S2_D5/S1_T4/S3 2 141<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E1/S1_SL4/S3_D5/S1_T2/S1 1 142<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL1/S1_D3/S3_T2/S1 7 143<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL1/S1_D4/S1_T1/S2 4 144<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL1/S1_D4/S1_T2/S1 15 145<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL1/S1_D4/S1_T4/S3 1 146<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL1/S1_D5/S1_T2/S1 13 147<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL1/S1_D5/S1_T3/S2 7 148<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL2/S1_D5/S1_T2/S1 8 149<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL3/S2_D3/S3_T2/S1 4 150<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL3/S2_D4/S1_T4/S3 9 151<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL3/S2_D5/S1_T2/S1 2 152<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL3/S2_D5/S1_T4/S3 2 153<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL4/S3_D3/S3_T2/S1 1 154<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL4/S3_D4/S1_T2/S1 2 155<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E2/S1_SL4/S3_D5/S1_T2/S1 4 156<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL1/S1_D3/S3_T2/S1 2 157<br />
198
Annex II – Grain maize<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL1/S1_D4/S1_T2/S1 9 158<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL1/S1_D5/S1_T2/S1 8 159<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL2/S1_D5/S1_T2/S1 2 160<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL3/S2_D3/S3_T2/S1 2 161<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL3/S2_D4/S1_T2/S1 2 162<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL3/S2_D4/S1_T4/S3 5 163<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL3/S2_D5/S1_T4/S3 7 164<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL4/S3_D3/S3_T2/S1 7 165<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL4/S3_D4/S1_T2/S1 7 166<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E3/S3_SL4/S3_D5/S1_T2/S1 11 167<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E4/s3_SL1/S1_D4/S1_T2/S1 9 168<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E4/s3_SL3/S2_D3/S3_T2/S1 1 169<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E4/s3_SL4/S3_D3/S3_T2/S1 2 170<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/NS1_E4/s3_SL4/S3_D5/S1_T2/S1 11 171<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S1_E1/S1_SL1/S1_D3/S3_T2/S1 12 172<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S1_E1/S1_SL1/S1_D3/S3_T4/S3 6 173<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S1_E1/S1_SL1/S1_D5/S1_T2/S1 115 174<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S1_E1/S1_SL1/S1_D5/S1_T3/S2 3 175<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S1_E2/S1_SL1/S1_D5/S1_T2/S1 8 176<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S1_E3/S3_SL1/S1_D5/S1_T2/S1 1 177<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E1/S1_SL1/S1_D3/S3_T2/S1 18 178<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E1/S1_SL1/S1_D3/S3_T4/S3 16 179<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E1/S1_SL1/S1_D4/S1_T1/S2 19 180<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E1/S1_SL1/S1_D4/S1_T2/S1 14 181<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E1/S1_SL1/S1_D5/S1_T2/S1 54 182<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E1/S1_SL1/S1_D5/S1_T4/S3 4 183<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E2/S1_SL1/S1_D3/S3_T2/S1 1 184<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E2/S1_SL1/S1_D4/S1_T2/S1 1 185<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E2/S1_SL1/S1_D5/S1_T2/S1 38 186<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E3/S3_SL1/S1_D4/S1_T2/S1 1 187<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S2_E3/S3_SL1/S1_D5/S1_T2/S1 2 188<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D3/S3_T2/S1 11 189<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D4/S1_T1/S2 34 190<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D4/S1_T2/S1 41 191<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D4/S1_T3/S2 1 192<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D4/S1_T4/S3 51 193<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T1/S2 21 194<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T2/S1 229 195<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T3/S2 51 196<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL1/S1_D5/S1_T4/S3 264 197<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL2/S1_D5/S1_T2/S1 68 198<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL3/S2_D4/S1_T4/S3 41 199<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL3/S2_D5/S1_T2/S1 18 200<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL3/S2_D5/S1_T4/S3 1 201<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL4/S3_D3/S3_T2/S1 2 202<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL4/S3_D4/S1_T2/S1 3 203<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E1/S1_SL4/S3_D5/S1_T2/S1 9 204<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D4/S1_T2/S1 14 205<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D4/S1_T3/S2 1 206<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D4/S1_T4/S3 8 207<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D5/S1_T2/S1 21 208<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D5/S1_T3/S2 12 209<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL1/S1_D5/S1_T4/S3 11 210<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL2/S1_D5/S1_T2/S1 12 211<br />
199
Annex II – Grain maize<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D3/S3_T2/S1 2 212<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D4/S1_T4/S3 31 213<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D5/S1_T2/S1 18 214<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL3/S2_D5/S1_T4/S3 9 215<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL4/S3_D3/S3_T2/S1 3 216<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL4/S3_D4/S1_T2/S1 8 217<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E2/S1_SL4/S3_D5/S1_T2/S1 14 218<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL1/S1_D4/S1_T2/S1 10 219<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL1/S1_D5/S1_T2/S1 9 220<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL2/S1_D5/S1_T2/S1 4 221<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL3/S2_D3/S3_T2/S1 6 222<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL3/S2_D4/S1_T4/S3 9 223<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL3/S2_D5/S1_T2/S1 2 224<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL3/S2_D5/S1_T4/S3 17 225<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL4/S3_D3/S3_T2/S1 12 226<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL4/S3_D4/S1_T2/S1 11 227<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E3/S3_SL4/S3_D5/S1_T2/S1 17 228<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E4/s3_SL1/S1_D4/S1_T2/S1 1 229<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E4/s3_SL3/S2_D5/S1_T4/S3 2 230<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E4/s3_SL4/S3_D3/S3_T2/S1 2 231<br />
S/M1_S2/M2_S2/M3_S/M4_S/M5_IRR/S3_E4/s3_SL4/S3_D5/S1_T2/S1 6 232<br />
Table 137– Tomato <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Irrigated Scenario<br />
200
Annex II – Grain maize<br />
Sugar beet <strong>Agro</strong>-pedo-climatological zones<br />
Non Irrigated Scenario<br />
CL_WB_SB_ZONING_NIRR COUNT ID_NIRR<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D4/S3_T2/S1 1 1<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T2/S1 103 2<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T3/S1 3 3<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D4/S3_T2/S1 21 4<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D4/S3_T3/S1 2 5<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D5/S1_T2/S1 29 6<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D5/S1_T3/S1 2 7<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL3/S3_D4/S3_T4/S2 1 8<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL3/S3_D5/S1_T2/S1 1 9<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL3/S3_D5/S1_T4/S2 1 10<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL1/S1_D4/S3_T2/S1 13 11<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL1/S1_D5/S1_T2/S1 20 12<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL1/S1_D5/S1_T3/S1 1 13<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL3/S3_D4/S3_T4/S2 1 14<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D4/S3_T2/S1 6 15<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T2/S1 4 16<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D5/S1_T2/S1 14 17<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL1/S1_D4/S3_T2/S1 8 18<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL1/S1_D5/S1_T2/S1 3 19<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL1/S1_D4/S3_T2/S1 5 20<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL1/S1_D5/S1_T2/S1 35 21<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S1_SL1/S1_D4/S3_T2/S1 3 22<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S1_SL1/S1_D5/S1_T2/S1 33 23<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S1_SL1/S1_D4/S3_T2/S1 2 24<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S1_SL1/S1_D5/S1_T2/S1 6 25<br />
Table 138– Sugar beet <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Non-Irrigated Scenario<br />
201
Annex II – Grain maize<br />
Irrigated Scenario<br />
CL_WB_SB_ZONING_IRR COUNT ID_IRR<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D4/S3_T2/S1 112 1<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D4/S3_T3/S1 1 2<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D4/S3_T4/S2 51 3<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D5/S1_T2/S1 592 4<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D5/S1_T3/S1 51 5<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D5/S1_T4/S2 279 6<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL2/S1_D4/S3_T2/S1 17 7<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL2/S1_D5/S1_T2/S1 124 8<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL3/S3_D4/S3_T4/S2 77 9<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL3/S3_D5/S1_T2/S1 40 10<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL3/S3_D5/S1_T4/S2 26 11<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL4/S3_D4/S3_T2/S1 3 12<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL4/S3_D5/S1_T2/S1 22 13<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL1/S1_D4/S3_T2/S1 59 14<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL1/S1_D4/S3_T3/S1 1 15<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL1/S1_D4/S3_T4/S2 8 16<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL1/S1_D5/S1_T2/S1 60 17<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL1/S1_D5/S1_T3/S1 12 18<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL1/S1_D5/S1_T4/S2 11 19<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL2/S1_D4/S3_T2/S1 8 20<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL2/S1_D5/S1_T2/S1 37 21<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL3/S3_D4/S3_T4/S2 49 22<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL3/S3_D5/S1_T2/S1 35 23<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL3/S3_D5/S1_T4/S2 24 24<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL4/S3_D4/S3_T2/S1 8 25<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL4/S3_D5/S1_T2/S1 29 26<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S1_SL1/S1_D4/S3_T2/S1 25 27<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S1_SL1/S1_D5/S1_T2/S1 25 28<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S1_SL2/S1_D4/S3_T2/S1 7 29<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S1_SL2/S1_D5/S1_T2/S1 18 30<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S1_SL3/S3_D4/S3_T4/S2 12 31<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S1_SL3/S3_D5/S1_T2/S1 2 32<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S1_SL3/S3_D5/S1_T4/S2 34 33<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S1_SL4/S3_D4/S3_T2/S1 12 34<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S1_SL4/S3_D5/S1_T2/S1 29 35<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s2_SL1/S1_D4/S3_T2/S1 6 36<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s2_SL1/S1_D5/S1_T2/S1 1 37<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s2_SL2/S1_D5/S1_T2/S1 3 38<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s2_SL3/S3_D5/S1_T2/S1 3 39<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s2_SL3/S3_D5/S1_T4/S2 5 40<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s2_SL4/S3_D5/S1_T2/S1 16 41<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E1/S1_SL1/S1_D4/S3_T2/S1 99 42<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E1/S1_SL1/S1_D4/S3_T4/S2 37 43<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E1/S1_SL1/S1_D5/S1_T2/S1 231 44<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E1/S1_SL1/S1_D5/S1_T3/S1 4 45<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E1/S1_SL1/S1_D5/S1_T4/S2 50 46<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E1/S1_SL2/S1_D4/S3_T2/S1 7 47<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E1/S1_SL2/S1_D5/S1_T2/S1 137 48<br />
202
Annex II – Grain maize<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E1/S1_SL3/S3_D4/S3_T4/S2 31 49<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E1/S1_SL3/S3_D5/S1_T2/S1 9 50<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E1/S1_SL3/S3_D5/S1_T4/S2 16 51<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E1/S1_SL4/S3_D5/S1_T2/S1 21 52<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E2/S1_SL1/S1_D4/S3_T2/S1 56 53<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E2/S1_SL1/S1_D4/S3_T4/S2 5 54<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E2/S1_SL1/S1_D5/S1_T2/S1 72 55<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E2/S1_SL1/S1_D5/S1_T3/S1 7 56<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E2/S1_SL1/S1_D5/S1_T4/S2 1 57<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E2/S1_SL2/S1_D4/S3_T2/S1 6 58<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E2/S1_SL2/S1_D5/S1_T2/S1 63 59<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E2/S1_SL3/S3_D4/S3_T4/S2 41 60<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E2/S1_SL3/S3_D5/S1_T2/S1 15 61<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E2/S1_SL3/S3_D5/S1_T4/S2 8 62<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E2/S1_SL4/S3_D4/S3_T2/S1 2 63<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E2/S1_SL4/S3_D5/S1_T2/S1 26 64<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E3/S1_SL1/S1_D4/S3_T2/S1 64 65<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E3/S1_SL1/S1_D5/S1_T2/S1 46 66<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E3/S1_SL2/S1_D4/S3_T2/S1 2 67<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E3/S1_SL2/S1_D5/S1_T2/S1 59 68<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E3/S1_SL3/S3_D4/S3_T2/S1 9 69<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E3/S1_SL3/S3_D4/S3_T4/S2 55 70<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E3/S1_SL3/S3_D5/S1_T2/S1 13 71<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E3/S1_SL3/S3_D5/S1_T4/S2 11 72<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E3/S1_SL4/S3_D4/S3_T2/S1 7 73<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E3/S1_SL4/S3_D5/S1_T2/S1 85 74<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E4/s2_SL1/S1_D4/S3_T2/S1 10 75<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E4/s2_SL1/S1_D5/S1_T2/S1 5 76<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E4/s2_SL2/S1_D4/S3_T2/S1 4 77<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E4/s2_SL2/S1_D5/S1_T2/S1 10 78<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E4/s2_SL3/S3_D4/S3_T2/S1 1 79<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E4/s2_SL3/S3_D4/S3_T4/S2 12 80<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E4/s2_SL3/S3_D5/S1_T4/S2 3 81<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E4/s2_SL4/S3_D4/S3_T2/S1 1 82<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E4/s2_SL4/S3_D5/S1_T2/S1 54 83<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D4/S3_T2/S1 1 84<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T2/S1 103 85<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T3/S1 3 86<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D4/S3_T2/S1 21 87<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D4/S3_T3/S1 2 88<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D5/S1_T2/S1 29 89<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D5/S1_T3/S1 2 90<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL3/S3_D4/S3_T4/S2 1 91<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL3/S3_D5/S1_T2/S1 1 92<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL3/S3_D5/S1_T4/S2 1 93<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL1/S1_D4/S3_T2/S1 13 94<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL1/S1_D5/S1_T2/S1 20 95<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL1/S1_D5/S1_T3/S1 1 96<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S1_SL3/S3_D4/S3_T4/S2 1 97<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D4/S3_T2/S1 6 98<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T2/S1 4 99<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D5/S1_T2/S1 14 100<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL1/S1_D4/S3_T2/S1 8 101<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S1_SL1/S1_D5/S1_T2/S1 3 102<br />
203
Annex II – Grain maize<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL1/S1_D4/S3_T2/S1 5 103<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL1/S1_D5/S1_T2/S1 35 104<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S1_SL1/S1_D4/S3_T2/S1 3 105<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S1_SL1/S1_D5/S1_T2/S1 33 106<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S1_SL1/S1_D4/S3_T2/S1 2 107<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S1_SL1/S1_D5/S1_T2/S1 6 108<br />
Table 139– Sugar beet <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Irrigated Scenario<br />
204
Annex II – Grain maize<br />
Sunflower <strong>Agro</strong>-pedo-climatological zones<br />
Non Irrigated Scenario<br />
CL_WB_SF_ZONING_NIRR COUNT ID_NIRR<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D3/S3_T2/S1 17 1<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D3/S3_T4/S3 6 2<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D4/S1_T2/S1 6 3<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T2/S1 140 4<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T3/S1 3 5<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T4/S3 4 6<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D3/S3_T2/S1 4 7<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D4/S1_T2/S1 21 8<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D4/S1_T3/S1 2 9<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D5/S1_T2/S1 36 10<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D5/S1_T3/S1 2 11<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL3/S3_D4/S1_T4/S3 1 12<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL3/S3_D5/S1_T2/S1 1 13<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL3/S3_D5/S1_T4/S3 1 14<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S2_SL1/S1_D4/S1_T2/S1 12 15<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S2_SL1/S1_D5/S1_T2/S1 11 16<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S2_SL1/S1_D5/S1_T3/S1 1 17<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S2_SL3/S3_D4/S1_T4/S3 1 18<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D3/S3_T2/S1 21 19<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D3/S3_T4/S3 16 20<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D4/S1_T2/S1 61 21<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D4/S1_T4/S3 19 22<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T2/S1 276 23<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T3/S1 22 24<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T4/S3 151 25<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL2/S1_D4/S1_T2/S1 1 26<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL2/S1_D5/S1_T2/S1 101 27<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL3/S3_D4/S1_T4/S3 56 28<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL3/S3_D5/S1_T2/S1 18 29<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL3/S3_D5/S1_T4/S3 1 30<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL4/S3_D3/S3_T2/S1 2 31<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL4/S3_D4/S1_T2/S1 3 32<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL4/S3_D5/S1_T2/S1 10 33<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D3/S3_T2/S1 4 34<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D4/S1_T2/S1 29 35<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D4/S1_T4/S3 2 36<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D5/S1_T2/S1 56 37<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D5/S1_T3/S1 9 38<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D5/S1_T4/S3 11 39<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL2/S1_D4/S1_T2/S1 7 40<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL2/S1_D5/S1_T2/S1 29 41<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL3/S3_D4/S1_T4/S3 44 42<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL3/S3_D5/S1_T2/S1 20 43<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL3/S3_D5/S1_T4/S3 4 44<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL4/S3_D3/S3_T2/S1 3 45<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL4/S3_D4/S1_T2/S1 8 46<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL4/S3_D5/S1_T2/S1 18 47<br />
205
Annex II – Grain maize<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL1/S1_D4/S1_T2/S1 24 48<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL1/S1_D5/S1_T2/S1 21 49<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL2/S1_D4/S1_T2/S1 6 50<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL2/S1_D5/S1_T2/S1 13 51<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL3/S3_D4/S1_T4/S3 8 52<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL3/S3_D5/S1_T2/S1 2 53<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL3/S3_D5/S1_T4/S3 15 54<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL4/S3_D3/S3_T2/S1 11 55<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL4/S3_D4/S1_T2/S1 11 56<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL4/S3_D5/S1_T2/S1 12 57<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/s3_SL1/S1_D4/S1_T2/S1 1 58<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/s3_SL2/S1_D5/S1_T2/S1 2 59<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/s3_SL3/S3_D5/S1_T4/S3 2 60<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/s3_SL4/S3_D3/S3_T2/S1 2 61<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/s3_SL4/S3_D5/S1_T2/S1 3 62<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T2/S1 3 63<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D5/S1_T2/S1 6 64<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S2_SL1/S1_D4/S1_T2/S1 1 65<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S2_SL1/S1_D5/S1_T2/S1 10 66<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D4/S1_T2/S1 4 67<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D4/S1_T4/S3 1 68<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T3/S1 3 69<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T4/S3 5 70<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D5/S1_T3/S1 3 71<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D5/S1_T4/S3 8 72<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL3/S3_D4/S1_T4/S3 4 73<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL4/S3_D3/S3_T2/S1 2 74<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL2/S1_D5/S1_T2/S1 1 75<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL3/S3_D4/S1_T4/S3 1 76<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL3/S3_D5/S1_T4/S3 4 77<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL4/S3_D3/S3_T2/S1 3 78<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL4/S3_D5/S1_T2/S1 3 79<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/s3_SL4/S3_D3/S3_T2/S1 5 80<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/s3_SL4/S3_D5/S1_T2/S1 6 81<br />
Table 140– Sunflower <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Non-Irrigated Scenario<br />
206
Annex II – Grain maize<br />
Irrigated Scenario<br />
CL_WB_SF_ZONING_IRR COUNT ID_IRR<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D3/S3_T2/S1 140 1<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D4/S1_T2/S1 108 2<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D4/S1_T3/S1 1 3<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D4/S1_T4/S3 60 4<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D5/S1_T2/S1 374 5<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D5/S1_T3/S1 33 6<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D5/S1_T4/S3 166 7<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL2/S1_D4/S1_T2/S1 18 8<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL2/S1_D5/S1_T2/S1 109 9<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL3/S3_D3/S3_T2/S1 18 10<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL3/S3_D4/S1_T4/S3 42 11<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL3/S3_D5/S1_T2/S1 27 12<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL3/S3_D5/S1_T4/S3 36 13<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL4/S3_D5/S1_T2/S1 20 14<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL1/S1_D3/S3_T2/S1 36 15<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL1/S1_D4/S1_T2/S1 62 16<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL1/S1_D4/S1_T3/S1 1 17<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL1/S1_D4/S1_T4/S3 7 18<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL1/S1_D5/S1_T2/S1 63 19<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL1/S1_D5/S1_T3/S1 10 20<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL1/S1_D5/S1_T4/S3 1 21<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL2/S1_D3/S3_T2/S1 3 22<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL2/S1_D4/S1_T2/S1 3 23<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL2/S1_D5/S1_T2/S1 35 24<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL3/S3_D3/S3_T2/S1 9 25<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL3/S3_D4/S1_T4/S3 21 26<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL3/S3_D5/S1_T2/S1 19 27<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL3/S3_D5/S1_T4/S3 23 28<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL4/S3_D3/S3_T2/S1 1 29<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL4/S3_D4/S1_T2/S1 2 30<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL4/S3_D5/S1_T2/S1 26 31<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL1/S1_D3/S3_T2/S1 11 32<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL1/S1_D4/S1_T2/S1 28 33<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL1/S1_D5/S1_T2/S1 23 34<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL2/S1_D3/S3_T2/S1 12 35<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL2/S1_D4/S1_T2/S1 1 36<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL2/S1_D5/S1_T2/S1 14 37<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL3/S3_D3/S3_T2/S1 27 38<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL3/S3_D4/S1_T2/S1 8 39<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL3/S3_D4/S1_T4/S3 19 40<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL3/S3_D5/S1_T2/S1 3 41<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL3/S3_D5/S1_T4/S3 21 42<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL4/S3_D3/S3_T2/S1 10 43<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL4/S3_D4/S1_T2/S1 10 44<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL4/S3_D5/S1_T2/S1 52 45<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL1/S1_D3/S3_T2/S1 1 46<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL1/S1_D4/S1_T2/S1 3 47<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL1/S1_D5/S1_T2/S1 5 48<br />
207
Annex II – Grain maize<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL2/S1_D4/S1_T2/S1 3 49<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL2/S1_D5/S1_T2/S1 4 50<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL3/S3_D3/S3_T2/S1 15 51<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL3/S3_D4/S1_T4/S3 1 52<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL3/S3_D5/S1_T2/S1 3 53<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL3/S3_D5/S1_T4/S3 5 54<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL4/S3_D3/S3_T2/S1 2 55<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL4/S3_D5/S1_T2/S1 24 56<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E1/S1_SL1/S1_D4/S1_T2/S1 3 57<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E2/S1_SL1/S1_D4/S1_T2/S1 1 58<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D3/S3_T2/S1 17 59<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D3/S3_T4/S3 6 60<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D4/S1_T2/S1 6 61<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T2/S1 140 62<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T3/S1 3 63<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T4/S3 4 64<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D3/S3_T2/S1 4 65<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D4/S1_T2/S1 21 66<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D4/S1_T3/S1 2 67<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D5/S1_T2/S1 36 68<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D5/S1_T3/S1 2 69<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL3/S3_D4/S1_T4/S3 1 70<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL3/S3_D5/S1_T2/S1 1 71<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL3/S3_D5/S1_T4/S3 1 72<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S2_SL1/S1_D4/S1_T2/S1 12 73<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S2_SL1/S1_D5/S1_T2/S1 11 74<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S2_SL1/S1_D5/S1_T3/S1 1 75<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S2_SL3/S3_D4/S1_T4/S3 1 76<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D3/S3_T2/S1 21 77<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D3/S3_T4/S3 16 78<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D4/S1_T2/S1 61 79<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D4/S1_T4/S3 19 80<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T2/S1 276 81<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T3/S1 22 82<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T4/S3 151 83<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL2/S1_D4/S1_T2/S1 1 84<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL2/S1_D5/S1_T2/S1 101 85<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL3/S3_D4/S1_T4/S3 56 86<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL3/S3_D5/S1_T2/S1 18 87<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL3/S3_D5/S1_T4/S3 1 88<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL4/S3_D3/S3_T2/S1 2 89<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL4/S3_D4/S1_T2/S1 3 90<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL4/S3_D5/S1_T2/S1 10 91<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D3/S3_T2/S1 4 92<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D4/S1_T2/S1 29 93<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D4/S1_T4/S3 2 94<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D5/S1_T2/S1 56 95<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D5/S1_T3/S1 9 96<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D5/S1_T4/S3 11 97<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL2/S1_D4/S1_T2/S1 7 98<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL2/S1_D5/S1_T2/S1 29 99<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL3/S3_D4/S1_T4/S3 44 100<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL3/S3_D5/S1_T2/S1 20 101<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL3/S3_D5/S1_T4/S3 4 102<br />
208
Annex II – Grain maize<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL4/S3_D3/S3_T2/S1 3 103<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL4/S3_D4/S1_T2/S1 8 104<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL4/S3_D5/S1_T2/S1 18 105<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL1/S1_D4/S1_T2/S1 24 106<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL1/S1_D5/S1_T2/S1 21 107<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL2/S1_D4/S1_T2/S1 6 108<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL2/S1_D5/S1_T2/S1 13 109<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL3/S3_D4/S1_T4/S3 8 110<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL3/S3_D5/S1_T2/S1 2 111<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL3/S3_D5/S1_T4/S3 15 112<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL4/S3_D3/S3_T2/S1 11 113<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL4/S3_D4/S1_T2/S1 11 114<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL4/S3_D5/S1_T2/S1 12 115<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/s3_SL1/S1_D4/S1_T2/S1 1 116<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/s3_SL2/S1_D5/S1_T2/S1 2 117<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/s3_SL3/S3_D5/S1_T4/S3 2 118<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/s3_SL4/S3_D3/S3_T2/S1 2 119<br />
S/M1_S1/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/s3_SL4/S3_D5/S1_T2/S1 3 120<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D3/S3_T2/S1 3 121<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D4/S1_T2/S1 45 122<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D4/S1_T4/S3 10 123<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D5/S1_T2/S1 180 124<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D5/S1_T4/S3 8 125<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL2/S1_D4/S1_T2/S1 5 126<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL2/S1_D5/S1_T2/S1 54 127<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL3/S3_D4/S1_T4/S3 14 128<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL3/S3_D5/S1_T2/S1 4 129<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL3/S3_D5/S1_T4/S3 6 130<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL4/S3_D5/S1_T2/S1 13 131<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL1/S1_D3/S3_T2/S1 8 132<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL1/S1_D4/S1_T2/S1 26 133<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL1/S1_D4/S1_T4/S3 6 134<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL1/S1_D5/S1_T2/S1 84 135<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL2/S1_D4/S1_T2/S1 4 136<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL2/S1_D5/S1_T2/S1 90 137<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL3/S3_D3/S3_T2/S1 1 138<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL3/S3_D4/S1_T4/S3 37 139<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL3/S3_D5/S1_T2/S1 19 140<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL3/S3_D5/S1_T4/S3 16 141<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL4/S3_D3/S3_T2/S1 1 142<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL4/S3_D4/S1_T2/S1 1 143<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S1_SL4/S3_D5/S1_T2/S1 27 144<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL1/S1_D3/S3_T2/S1 1 145<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL1/S1_D4/S1_T2/S1 48 146<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL1/S1_D5/S1_T2/S1 56 147<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL2/S1_D3/S3_T2/S1 4 148<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL2/S1_D4/S1_T2/S1 2 149<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL2/S1_D5/S1_T2/S1 96 150<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL3/S3_D3/S3_T2/S1 15 151<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL3/S3_D4/S1_T2/S1 2 152<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL3/S3_D4/S1_T3/S1 1 153<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL3/S3_D4/S1_T4/S3 45 154<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL3/S3_D5/S1_T2/S1 15 155<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL3/S3_D5/S1_T4/S3 31 156<br />
209
Annex II – Grain maize<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL4/S3_D3/S3_T2/S1 7 157<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL4/S3_D4/S1_T2/S1 1 158<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S2_SL4/S3_D5/S1_T2/S1 86 159<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL1/S1_D4/S1_T2/S1 17 160<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL1/S1_D5/S1_T2/S1 4 161<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL2/S1_D4/S1_T2/S1 5 162<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL2/S1_D5/S1_T2/S1 19 163<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL3/S3_D4/S1_T2/S1 1 164<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL3/S3_D4/S1_T3/S1 1 165<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL3/S3_D4/S1_T4/S3 11 166<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL3/S3_D5/S1_T4/S3 2 167<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL4/S3_D3/S3_T2/S1 11 168<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL4/S3_D4/S1_T2/S1 5 169<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E4/s3_SL4/S3_D5/S1_T2/S1 59 170<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T2/S1 3 171<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S1_SL1/S1_D5/S1_T2/S1 6 172<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S2_SL1/S1_D4/S1_T2/S1 1 173<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S2_SL1/S1_D5/S1_T2/S1 10 174<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D4/S1_T2/S1 4 175<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D4/S1_T4/S3 1 176<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T3/S1 3 177<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T4/S3 5 178<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D5/S1_T3/S1 3 179<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL1/S1_D5/S1_T4/S3 8 180<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL3/S3_D4/S1_T4/S3 4 181<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S1_SL4/S3_D3/S3_T2/S1 2 182<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL2/S1_D5/S1_T2/S1 1 183<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL3/S3_D4/S1_T4/S3 1 184<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL3/S3_D5/S1_T4/S3 4 185<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL4/S3_D3/S3_T2/S1 3 186<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S2_SL4/S3_D5/S1_T2/S1 3 187<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/s3_SL4/S3_D3/S3_T2/S1 5 188<br />
S/M1_S2/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E4/s3_SL4/S3_D5/S1_T2/S1 6 189<br />
Table 141– Sunflower <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Irrigated Scenario<br />
210
Annex II – Grain maize<br />
Soy bean <strong>Agro</strong>-pedo-climatological zones<br />
Non Irrigated Scenario<br />
CL_WB_SY_ZONING_NIRR COUNT ID_NIRR<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D3/S3_T2/S2 17 1<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D3/S3_T4/S1 6 2<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D4/S1_T2/S2 6 3<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T2/S2 140 4<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T3/S1 3 5<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T4/S1 4 6<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S2_SL1/S1_D3/S3_T2/S2 4 7<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S2_SL1/S1_D4/S1_T2/S2 21 8<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S2_SL1/S1_D4/S1_T3/S1 2 9<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S2_SL1/S1_D5/S1_T2/S2 42 10<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S2_SL1/S1_D5/S1_T3/S1 2 11<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S2_SL3/S3_D4/S1_T4/S1 1 12<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S2_SL3/S3_D5/S1_T2/S2 1 13<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S2_SL3/S3_D5/S1_T4/S1 1 14<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S3_SL1/S1_D4/S1_T2/S2 13 15<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S3_SL1/S1_D5/S1_T2/S2 21 16<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S3_SL1/S1_D5/S1_T3/S1 1 17<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S3_SL3/S3_D4/S1_T4/S1 1 18<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D3/S3_T2/S2 16 19<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D3/S3_T4/S1 16 20<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D4/S1_T2/S2 20 21<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T2/S2 30 22<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S2_SL1/S1_D3/S3_T2/S2 3 23<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S2_SL1/S1_D4/S1_T2/S2 3 24<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S2_SL1/S1_D5/S1_T2/S2 34 25<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S3_SL1/S1_D4/S1_T2/S2 10 26<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S3_SL1/S1_D5/S1_T2/S2 8 27<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL1/S1_D3/S3_T2/S2 5 28<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL1/S1_D4/S1_T2/S2 41 29<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL1/S1_D4/S1_T4/S1 20 30<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL1/S1_D5/S1_T2/S2 246 31<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL1/S1_D5/S1_T3/S1 25 32<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL1/S1_D5/S1_T4/S1 156 33<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL2/S2_D4/S1_T2/S2 1 34<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL2/S2_D5/S1_T2/S2 101 35<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL3/S3_D4/S1_T4/S1 56 36<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL3/S3_D5/S1_T2/S2 18 37<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL3/S3_D5/S1_T4/S1 1 38<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL4/S3_D3/S3_T2/S2 2 39<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL4/S3_D4/S1_T2/S2 3 40<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL4/S3_D5/S1_T2/S2 10 41<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL1/S1_D3/S3_T2/S2 1 42<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL1/S1_D4/S1_T2/S2 26 43<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL1/S1_D4/S1_T4/S1 2 44<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL1/S1_D5/S1_T2/S2 22 45<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL1/S1_D5/S1_T3/S1 12 46<br />
211
Annex II – Grain maize<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL1/S1_D5/S1_T4/S1 19 47<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL2/S2_D4/S1_T2/S2 7 48<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL2/S2_D5/S1_T2/S2 29 49<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL3/S3_D4/S1_T4/S1 48 50<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL3/S3_D5/S1_T2/S2 20 51<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL3/S3_D5/S1_T4/S1 4 52<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL4/S3_D3/S3_T2/S2 5 53<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL4/S3_D4/S1_T2/S2 8 54<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL4/S3_D5/S1_T2/S2 18 55<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL1/S1_D4/S1_T2/S2 14 56<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL1/S1_D5/S1_T2/S2 13 57<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL2/S2_D4/S1_T2/S2 6 58<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL2/S2_D5/S1_T2/S2 14 59<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL3/S3_D4/S1_T4/S1 9 60<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL3/S3_D5/S1_T2/S2 2 61<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL3/S3_D5/S1_T4/S1 19 62<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL4/S3_D3/S3_T2/S2 14 63<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL4/S3_D4/S1_T2/S2 11 64<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL4/S3_D5/S1_T2/S2 15 65<br />
Table 142– Soy Bean <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Non-Irrigated Scenario<br />
212
Annex II – Grain maize<br />
Irrigated Scenario<br />
CL_WB_SY_ZONING_IRR COUNT ID_IRR<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D3/S3_T2/S2 143 1<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D4/S1_T2/S2 146 2<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D4/S1_T3/S1 1 3<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D4/S1_T4/S1 70 4<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D5/S1_T2/S2 545 5<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D5/S1_T3/S1 33 6<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL1/S1_D5/S1_T4/S1 174 7<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL2/S2_D4/S1_T2/S2 23 8<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL2/S2_D5/S1_T2/S2 160 9<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL3/S3_D3/S3_T2/S2 18 10<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL3/S3_D4/S1_T4/S1 52 11<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL3/S3_D5/S1_T2/S2 31 12<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL3/S3_D5/S1_T4/S1 39 13<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E1/S1_SL4/S3_D5/S1_T2/S2 33 14<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S2_SL1/S1_D3/S3_T2/S2 37 15<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S2_SL1/S1_D4/S1_T2/S2 80 16<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S2_SL1/S1_D4/S1_T3/S1 1 17<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S2_SL1/S1_D4/S1_T4/S1 13 18<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S2_SL1/S1_D5/S1_T2/S2 110 19<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S2_SL1/S1_D5/S1_T3/S1 10 20<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S2_SL1/S1_D5/S1_T4/S1 1 21<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S2_SL2/S2_D4/S1_T2/S2 7 22<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S2_SL2/S2_D5/S1_T2/S2 72 23<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S2_SL3/S3_D3/S3_T2/S2 9 24<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S2_SL3/S3_D4/S1_T4/S1 46 25<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S2_SL3/S3_D5/S1_T2/S2 30 26<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S2_SL3/S3_D5/S1_T4/S1 28 27<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S2_SL4/S3_D3/S3_T2/S2 2 28<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S2_SL4/S3_D4/S1_T2/S2 2 29<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E2/S2_SL4/S3_D5/S1_T2/S2 37 30<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S3_SL1/S1_D3/S3_T2/S2 6 31<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S3_SL1/S1_D4/S1_T2/S2 61 32<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S3_SL1/S1_D5/S1_T2/S2 62 33<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S3_SL2/S2_D3/S3_T2/S2 3 34<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S3_SL2/S2_D4/S1_T2/S2 3 35<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S3_SL2/S2_D5/S1_T2/S2 69 36<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S3_SL3/S3_D3/S3_T2/S2 27 37<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S3_SL3/S3_D4/S1_T2/S2 9 38<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S3_SL3/S3_D4/S1_T3/S1 1 39<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S3_SL3/S3_D4/S1_T4/S1 60 40<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S3_SL3/S3_D5/S1_T2/S2 13 41<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S3_SL3/S3_D5/S1_T4/S1 32 42<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S3_SL4/S3_D3/S3_T2/S2 8 43<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S3_SL4/S3_D4/S1_T2/S2 8 44<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS1_E3/S3_SL4/S3_D5/S1_T2/S2 105 45<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E1/S1_SL1/S1_D4/S1_T2/S2 10 46<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E1/S1_SL1/S1_D5/S1_T2/S2 4 47<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E1/S1_SL3/S3_D5/S1_T4/S1 2 48<br />
213
Annex II – Grain maize<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E2/S2_SL1/S1_D3/S3_T2/S2 2 49<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E2/S2_SL1/S1_D4/S1_T2/S2 9 50<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E2/S2_SL2/S2_D3/S3_T2/S2 3 51<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E3/S3_SL1/S1_D3/S3_T2/S2 6 52<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E3/S3_SL1/S1_D4/S1_T2/S2 15 53<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E3/S3_SL2/S2_D3/S3_T2/S2 13 54<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E3/S3_SL2/S2_D5/S1_T2/S2 1 55<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E3/S3_SL3/S3_D5/S1_T4/S1 1 56<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/NS2_E3/S3_SL4/S3_D5/S1_T2/S2 2 57<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D3/S3_T2/S2 17 58<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D3/S3_T4/S1 6 59<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D4/S1_T2/S2 6 60<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T2/S2 140 61<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T3/S1 3 62<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E1/S1_SL1/S1_D5/S1_T4/S1 4 63<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S2_SL1/S1_D3/S3_T2/S2 4 64<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S2_SL1/S1_D4/S1_T2/S2 21 65<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S2_SL1/S1_D4/S1_T3/S1 2 66<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S2_SL1/S1_D5/S1_T2/S2 42 67<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S2_SL1/S1_D5/S1_T3/S1 2 68<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S2_SL3/S3_D4/S1_T4/S1 1 69<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S2_SL3/S3_D5/S1_T2/S2 1 70<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E2/S2_SL3/S3_D5/S1_T4/S1 1 71<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S3_SL1/S1_D4/S1_T2/S2 13 72<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S3_SL1/S1_D5/S1_T2/S2 21 73<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S3_SL1/S1_D5/S1_T3/S1 1 74<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S1_E3/S3_SL3/S3_D4/S1_T4/S1 1 75<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D3/S3_T2/S2 16 76<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D3/S3_T4/S1 16 77<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D4/S1_T2/S2 20 78<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E1/S1_SL1/S1_D5/S1_T2/S2 30 79<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S2_SL1/S1_D3/S3_T2/S2 3 80<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S2_SL1/S1_D4/S1_T2/S2 3 81<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E2/S2_SL1/S1_D5/S1_T2/S2 34 82<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S3_SL1/S1_D4/S1_T2/S2 10 83<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S2_E3/S3_SL1/S1_D5/S1_T2/S2 8 84<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL1/S1_D3/S3_T2/S2 5 85<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL1/S1_D4/S1_T2/S2 41 86<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL1/S1_D4/S1_T4/S1 20 87<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL1/S1_D5/S1_T2/S2 246 88<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL1/S1_D5/S1_T3/S1 25 89<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL1/S1_D5/S1_T4/S1 156 90<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL2/S2_D4/S1_T2/S2 1 91<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL2/S2_D5/S1_T2/S2 101 92<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL3/S3_D4/S1_T4/S1 56 93<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL3/S3_D5/S1_T2/S2 18 94<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL3/S3_D5/S1_T4/S1 1 95<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL4/S3_D3/S3_T2/S2 2 96<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL4/S3_D4/S1_T2/S2 3 97<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E1/S1_SL4/S3_D5/S1_T2/S2 10 98<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL1/S1_D3/S3_T2/S2 1 99<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL1/S1_D4/S1_T2/S2 26 100<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL1/S1_D4/S1_T4/S1 2 101<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL1/S1_D5/S1_T2/S2 22 102<br />
214
Annex II – Grain maize<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL1/S1_D5/S1_T3/S1 12 103<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL1/S1_D5/S1_T4/S1 19 104<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL2/S2_D4/S1_T2/S2 7 105<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL2/S2_D5/S1_T2/S2 29 106<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL3/S3_D4/S1_T4/S1 48 107<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL3/S3_D5/S1_T2/S2 20 108<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL3/S3_D5/S1_T4/S1 4 109<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL4/S3_D3/S3_T2/S2 5 110<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL4/S3_D4/S1_T2/S2 8 111<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E2/S2_SL4/S3_D5/S1_T2/S2 18 112<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL1/S1_D4/S1_T2/S2 14 113<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL1/S1_D5/S1_T2/S2 13 114<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL2/S2_D4/S1_T2/S2 6 115<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL2/S2_D5/S1_T2/S2 14 116<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL3/S3_D4/S1_T4/S1 9 117<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL3/S3_D5/S1_T2/S2 2 118<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL3/S3_D5/S1_T4/S1 19 119<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL4/S3_D3/S3_T2/S2 14 120<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL4/S3_D4/S1_T2/S2 11 121<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_IRR/S3_E3/S3_SL4/S3_D5/S1_T2/S2 15 122<br />
Table 143– Soy Bean <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Irrigated Scenario<br />
215
Annex II – Grain maize<br />
Rapeseed <strong>Agro</strong>-pedo-climatological zones<br />
Non Irrigated Scenario<br />
CL_WB_RP_ZONING_NIRR COUNT ID_NIRR<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E1/S1_SL1/S1_D3/s3_T2/S3 41 1<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E1/S1_SL1/S1_D3/s3_T4/S1 22 2<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E1/S1_SL1/S1_D4/S2_T2/S3 53 3<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E1/S1_SL1/S1_D4/S2_T3/S1 1 4<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E1/S1_SL1/S1_D4/S2_T4/S1 24 5<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E1/S1_SL1/S1_D5/S1_T2/S3 387 6<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E1/S1_SL1/S1_D5/S1_T3/S1 55 7<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E1/S1_SL1/S1_D5/S1_T4/S1 202 8<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E1/S1_SL2/S1_D4/S2_T2/S3 1 9<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E1/S1_SL2/S1_D5/S1_T2/S3 63 10<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E1/S1_SL3/S2_D4/S2_T4/S1 30 11<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E1/S1_SL3/S2_D5/S1_T2/S3 14 12<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E1/S1_SL3/S2_D5/S1_T4/S1 1 13<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E1/S1_SL4/S3_D3/s3_T2/S3 2 14<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E1/S1_SL4/S3_D4/S2_T2/S3 1 15<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E1/S1_SL4/S3_D5/S1_T2/S3 10 16<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E2/S1_SL1/S1_D3/s3_T2/S3 8 17<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E2/S1_SL1/S1_D4/S2_T2/S3 41 18<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E2/S1_SL1/S1_D4/S2_T3/S1 3 19<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E2/S1_SL1/S1_D4/S2_T4/S1 2 20<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E2/S1_SL1/S1_D5/S1_T2/S3 101 21<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E2/S1_SL1/S1_D5/S1_T3/S1 17 22<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E2/S1_SL1/S1_D5/S1_T4/S1 19 23<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E2/S1_SL2/S1_D4/S2_T2/S3 7 24<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E2/S1_SL2/S1_D5/S1_T2/S3 14 25<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E2/S1_SL3/S2_D4/S2_T4/S1 35 26<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E2/S1_SL3/S2_D5/S1_T2/S3 20 27<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E2/S1_SL3/S2_D5/S1_T4/S1 8 28<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E2/S1_SL4/S3_D3/s3_T2/S3 6 29<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E2/S1_SL4/S3_D4/S2_T2/S3 5 30<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E2/S1_SL4/S3_D5/S1_T2/S3 18 31<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E3/S2_SL1/S1_D4/S2_T2/S3 30 32<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E3/S2_SL1/S1_D5/S1_T2/S3 41 33<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E3/S2_SL1/S1_D5/S1_T3/S1 1 34<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E3/S2_SL2/S1_D4/S2_T2/S3 6 35<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E3/S2_SL2/S1_D5/S1_T2/S3 3 36<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E3/S2_SL3/S2_D3/s3_T2/S3 1 37<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E3/S2_SL3/S2_D4/S2_T4/S1 7 38<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E3/S2_SL3/S2_D5/S1_T2/S3 2 39<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E3/S2_SL3/S2_D5/S1_T4/S1 26 40<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E3/S2_SL4/S3_D3/s3_T2/S3 17 41<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E3/S2_SL4/S3_D4/S2_T2/S3 10 42<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E3/S2_SL4/S3_D5/S1_T2/S3 22 43<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E4/s3_SL1/S1_D4/S2_T2/S3 1 44<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E4/s3_SL1/S1_D5/S1_T2/S3 3 45<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E4/s3_SL2/S1_D5/S1_T2/S3 1 46<br />
216
Annex II – Grain maize<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E4/s3_SL3/S2_D5/S1_T4/S1 4 47<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E4/s3_SL4/S3_D3/s3_T2/S3 13 48<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S1_E4/s3_SL4/S3_D5/S1_T2/S3 24 49<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E1/S1_SL1/S1_D3/s3_T2/S3 134 50<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E1/S1_SL1/S1_D4/S2_T2/S3 163 51<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E1/S1_SL1/S1_D4/S2_T4/S1 66 52<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E1/S1_SL1/S1_D5/S1_T2/S3 469 53<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E1/S1_SL1/S1_D5/S1_T3/S1 6 54<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E1/S1_SL1/S1_D5/S1_T4/S1 132 55<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E1/S1_SL2/S1_D4/S2_T2/S3 23 56<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E1/S1_SL2/S1_D5/S1_T2/S3 116 57<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E1/S1_SL3/S2_D3/s3_T2/S3 7 58<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E1/S1_SL3/S2_D4/S2_T4/S1 58 59<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E1/S1_SL3/S2_D5/S1_T2/S3 25 60<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E1/S1_SL3/S2_D5/S1_T4/S1 39 61<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E1/S1_SL4/S3_D4/S2_T2/S3 2 62<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E1/S1_SL4/S3_D5/S1_T2/S3 17 63<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E2/S1_SL1/S1_D3/s3_T2/S3 41 64<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E2/S1_SL1/S1_D4/S2_T2/S3 92 65<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E2/S1_SL1/S1_D4/S2_T4/S1 13 66<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E2/S1_SL1/S1_D5/S1_T2/S3 129 67<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E2/S1_SL1/S1_D5/S1_T3/S1 7 68<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E2/S1_SL1/S1_D5/S1_T4/S1 1 69<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E2/S1_SL2/S1_D4/S2_T2/S3 7 70<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E2/S1_SL2/S1_D5/S1_T2/S3 128 71<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E2/S1_SL3/S2_D3/s3_T2/S3 7 72<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E2/S1_SL3/S2_D4/S2_T4/S1 57 73<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E2/S1_SL3/S2_D5/S1_T2/S3 38 74<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E2/S1_SL3/S2_D5/S1_T4/S1 32 75<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E2/S1_SL4/S3_D3/s3_T2/S3 1 76<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E2/S1_SL4/S3_D4/S2_T2/S3 6 77<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E2/S1_SL4/S3_D5/S1_T2/S3 35 78<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E3/S2_SL1/S1_D3/s3_T2/S3 6 79<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E3/S2_SL1/S1_D4/S2_T2/S3 70 80<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E3/S2_SL1/S1_D5/S1_T2/S3 76 81<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E3/S2_SL2/S1_D3/s3_T2/S3 3 82<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E3/S2_SL2/S1_D4/S2_T2/S3 3 83<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E3/S2_SL2/S1_D5/S1_T2/S3 98 84<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E3/S2_SL3/S2_D3/s3_T2/S3 23 85<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E3/S2_SL3/S2_D4/S2_T2/S3 10 86<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E3/S2_SL3/S2_D4/S2_T3/S1 1 87<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E3/S2_SL3/S2_D4/S2_T4/S1 52 88<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E3/S2_SL3/S2_D5/S1_T2/S3 18 89<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E3/S2_SL3/S2_D5/S1_T4/S1 42 90<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E3/S2_SL4/S3_D3/s3_T2/S3 15 91<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E3/S2_SL4/S3_D4/S2_T2/S3 12 92<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E3/S2_SL4/S3_D5/S1_T2/S3 97 93<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E4/s3_SL1/S1_D3/s3_T2/S3 1 94<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E4/s3_SL1/S1_D4/S2_T2/S3 13 95<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E4/s3_SL1/S1_D5/S1_T2/S3 2 96<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E4/s3_SL2/S1_D4/S2_T2/S3 6 97<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E4/s3_SL2/S1_D5/S1_T2/S3 21 98<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E4/s3_SL3/S2_D3/s3_T2/S3 1 99<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E4/s3_SL3/S2_D4/S2_T2/S3 1 100<br />
217
Annex II – Grain maize<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E4/s3_SL3/S2_D4/S2_T3/S1 1 101<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E4/s3_SL3/S2_D4/S2_T4/S1 11 102<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E4/s3_SL3/S2_D5/S1_T2/S3 3 103<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E4/s3_SL3/S2_D5/S1_T4/S1 3 104<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E4/s3_SL4/S3_D3/s3_T2/S3 10 105<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E4/s3_SL4/S3_D4/S2_T2/S3 5 106<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/S2_E4/s3_SL4/S3_D5/S1_T2/S3 67 107<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/s3_E1/S1_SL1/S1_D3/s3_T2/S3 2 108<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/s3_E1/S1_SL1/S1_D5/S1_T2/S3 4 109<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/s3_E1/S1_SL3/S2_D4/S2_T4/S1 1 110<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/s3_E1/S1_SL3/S2_D5/S1_T4/S1 2 111<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/s3_E2/S1_SL1/S1_D3/s3_T2/S3 3 112<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/s3_E2/S1_SL1/S1_D4/S2_T2/S3 4 113<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/s3_E2/S1_SL2/S1_D3/s3_T2/S3 3 114<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/s3_E3/S2_SL1/S1_D3/s3_T2/S3 6 115<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/s3_E3/S2_SL1/S1_D4/S2_T2/S3 10 116<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/s3_E3/S2_SL2/S1_D3/s3_T2/S3 13 117<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/s3_E3/S2_SL2/S1_D5/S1_T2/S3 1 118<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/s3_E3/S2_SL3/S2_D5/S1_T4/S1 1 119<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/s3_E3/S2_SL4/S3_D5/S1_T2/S3 2 120<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/s3_E4/s3_SL1/S1_D4/S2_T2/S3 9 121<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/s3_E4/s3_SL2/S1_D4/S2_T2/S3 2 122<br />
S/M1_S/M2_S/M3_S/M4_S/M5_S1/M6_S/M7_IRR/s3_E4/s3_SL4/S3_D5/S1_T2/S3 1 123<br />
Table 144– Rapeseed <strong>Agro</strong>-<strong>Pedo</strong>-<strong>Climatological</strong> <strong>Zoning</strong> ID in Non-Irrigated Scenario<br />
218