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AAPP-ROS ABC Project ACIAR ACSN ADB ADS AIDAB ANU ARFSN ARO ASES' ASSP AT1 AUDP BAEX BAR BP1 BRBDP BS BSU CAP CECAP Appendix: Acronyms Accelerated Agricultural Production Project Research and Outreach Sub-Project Agusan, Bukidnon, Capiz Settlement Project Australian Centre for <strong>International</strong> Agricultural Research Asian Cropping Systems Network Asian Development Bank Agricultural Development Specialist Australian Development Assistance Bureau Australian National University Asian Rice Farming Systems Network Agricultural Research Office Agricultural Suitability and Evaluation Systems Agricultural Support Services Project Agricultural Training Institute Antique Upland Development Project Bureau of Agricultural Extension Bureau of Agricultural Research Bureau of Plant Industry Bicol River Basin Development Project Bureau of Soils Benguet State University Countryside Action Program Central Cordillera Agricultural Project
CFTSSF CLSU CSD CSSAC CVIADP CVRP-I DA DA-V DENR DOH DPWH DSWD EEC FARM1 FS FSA FSDP-EV FSDP-Bicol FSR&D FSRDN FSR&E FSSRI Comprehensive Far~rring Technology Support to Small Farmers Central Luzon State University Cropping Systems Division Camarines Sur State Agricultural College Cagayan Valley Integrated Area Development Project Central Visayas Regional Project-I Department of Agriculture Department of Agriculture - Visayas Department of Environment and Natural Resources Department of Health Department of Public Works and Highways Departnrent of Social Welfare and Development European Econolnic Community Farm and Resource Management Institute Farming Systems Farming Systems Approach Farming Systems Development Project-Eastern Visayas Farming Systems Development Project-Bicol Farming Systems Reser~rcl~ and Development Farming Systems Research and Development Network Farming Systems Research and Extension Farming Systems and Soil Resources lnstitu te
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IRRl DISCUSSION PAPER SERIES NO. 15
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RECEIVED I RECU .- r b :'.i!~atlon
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Welcome address S .P.R. Weerasinghe
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Welcome Address S. P. R. Weerasingh
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Opening Comments After 15 yr of far
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increased as well, but only nlargin
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esult in high incomes for farmers,
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Investor concerns Usually investors
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WORKSHOP OBJECTIVES This workshop i
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Rice is the major food crop and die
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esource use and productivity varies
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Determination of ado,)tion factors
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number of active family members per
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At both sites, more than 73% of the
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Hossain A M, Nur-E-Elahi, Nazrul I
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Table 2. Crop varietal sequence sco
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Table 4. Correlation illatsix used
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- Table 6. Socioeconomic characteri
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Table 8. Extent of adoption and ave
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Table 10. Resource use and producti
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Table 12. Extent of adoption and di
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Table 14. Summary of per hectare ca
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IRlPACT OF FARMING SYSTEMS RESEARCH
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new information collected during FS
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average family owns seven heads of
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H Horticulture. To have a more regu
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improved varieties require higher l
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The types of the training provided
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extension agency in the district, t
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m Extension and other production-su
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Table 3. Farm characteristics of th
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Table 6. Farm practices and product
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Table 8. Major crops, crop varietie
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Table 10. Production and use of mil
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Table 13. Major problems and constr
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Table 15. Training undergone by the
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Table 17. Links between farmers and
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----l CROP SUBSYSlLM rnurt L OTT tb
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West Java provincial le~el BACKGROU
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OBJECTIVES The specific objectives
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Labor requirement Labor requirement
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system models. This indicated that
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Unit prices for all items were obta
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Price elasticity. The demand for al
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district fishery extension services
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Table 2. Production of freshwater f
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Table 4. Level of inputs used in ea
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Table 6. Labor requirement for each
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able 8. Income analysis of each FS
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Table 10. Nonfood expenditure patte
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Table 12. The value of assets (IRP
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Table 15. Nonfood expenditure patte
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Table 17. Elasticities of food comm
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l Oct k Jan Feb Mar Apr May Jun Jul
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From 1980 to 1986, the Integrated R
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THE 1'\VO ;MATURE TECHNOLOGIES Dire
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Conceptual framework STUDY METHODS
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Tai. Mungbean was introduced in Dok
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Land preparation for rice. The reac
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price of mungbean was high, some fa
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manufacturers. The earlier models (
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Net farm income per household The a
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that although adopters were better
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W It produced a good stand of rice
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Table l. The promising technologies
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Table 3. Mungbean before rice areas
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Table 5. Number of farm households
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Table 7. Area planted to mungbean,
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Table 9. Area planted to mungbean,
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Table 11. Area under dry seeded ric
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continued.. . Table 12. Socioeconom
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continued.. . Table 12. Socioeconom
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l~ndicative figures only. '~ature t
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composition, increases in income ca
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not be captured if the criteria for
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crops (rice, maize, and mungbean) a
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The explanatory Lwiable, nitrogen (
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of the ratio of actual intake and r
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Farming Systems Research and Extens
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Table 3. Input levels and productiv
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Table 5. Comparison of annual house
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Table 7. Comparison of annual nonfo
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Table 9. Comparison of percentage p
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Table 11. Log-linear models of impa
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INSTITUTIONALIZING THE FARILIIIVG S
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agricultural production system by i
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In the midwest plain, where there a
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Varietal irnprovernent. This compon
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solutions to problems under the bas
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Table 2. Rice farming systems in Ca
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Table 5. Component-technology studi
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Wangwacharachul (1984) examined the
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household basis on an income and ex
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first crop. In 1989-90, the adopter
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Nonfarm expenses constituted the bu
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Herbicide is essential for DSR. How
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o The classification of farmers on
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Table 1. List of \,ariables idc~l~l
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Table 3. Conlparison of cash flow o
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Table 5. Level of input use for the
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Table 7. Production elasticities of
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FROXl GREEN REVOLUTION TO FARhlING
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ainfed areas. The RIARS project app
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stability and sustainability. 1nsti
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o Limited feedback at all levels. A
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Table l. Chronological sequcnce of
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Table l. Chronological sequence of
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Impact studies A number of studies
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some simple statistical tests to as
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assets). Patterns of food consumpti
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Production functions for first-seas
Page 223 and 224: and nonadopters indicate that there
Page 225 and 226: E~zdowr~tcnt of l~ouselrol~f assets
Page 227 and 228: variety, inadequate attention was p
Page 229 and 230: Table 1. Farming system research si
Page 231 and 232: Table 4. Comparison of levels of in
Page 233 and 234: Table-6. Compariso~i of le\.els of
Page 235 and 236: Table 9. Estimated production funct
Page 237 and 238: Table 11. Factor shares of first-se
Page 239 and 240: Table 13. Factor slirlres of third-
Page 241 and 242: Table 15. Endownlent of farm assets
Page 243 and 244: IAIPACT ASSESShlEhT OF FARMING SYST
Page 245 and 246: Depending on the adequacy of rainfa
Page 247 and 248: Demograpllic cllaractehtics. The co
Page 249 and 250: The major farm implements owned by
Page 251 and 252: Effect of RWCS on household cash fl
Page 253 and 254: Table 1. Average cash expenses per
Page 255 and 256: Table 5. Selected clia~~acteristics
Page 257 and 258: Table 7. Comparative pcrforinance o
Page 259 and 260: hiem bers Discussion and Recommenda
Page 261 and 262: Guideline 4: FSR impact projects sh
Page 263 and 264: hlem bers o The need to improve doc
Page 265 and 266: Members what is right depends on po
Page 267 and 268: Decentralization and farming system
Page 269 and 270: o More program and less project fun
Page 271 and 272: Bangladesh Mr. RaGqul Islam Banglad
Page 273: Dr. N.F.C. Ranawecru Di\ision of .-
Page 277 and 278: PIADP PCA PCARRD PHARLAP PSC PTA RA
Page 279 and 280: Production Team Editor : Michael Gr
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