An Economic Assessment of Banana Genetic Improvement and ...

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174 APPENDIX B Table B.1 (continued) Cultivar name Synonyms Genomic group Common use Household share (percent) Cultivar share (percent) 91 Mshale — 22 (AA) 92 Mtwishe — 22 (AAA) 5 0.34 0.05 3 4.26 3.33 93 Muhima — 1 1 0.15 0.02 94 Mwanamwana — 1 1 0.04 0.03 95 Nteyichungu — 1 1 0.04 0.01 96 Nyabwehogola — 1 1 0.04 0.01 97 Nyarujoju — 1 1 0.04 0.01 98 Pelipita Peripita 22 (ABB) 99 Rose Rozi 22 (AA) 4 0.45 0.06 3 0.15 0.02 100 Rwabuganga — 1 2 0.22 0.04 101 Rwakagoye — 1 1 0.04 0.01 102 Shilingi — 22 4 0.56 0.12 Notes: Genomic groups are defined as 1 = endemic (AAA-EA), 2 = nonendemic, 22 = exotic, and 23 = hybrid. Common uses are 1 = cooking, 2 = beer brewing, 3 = dessert, 4 = multiuse, and 5 = roasting. Household share is the proportion of households that grow this cultivar out of 260 households in the sample. Cultivar share is the proportion of mats planted to this cultivar out of 80,317 mats in the sample. — indicates a cultivar without a synonym; n.a. indicates not available. a The genomic group for this cultivar was not identified.
APPENDIX C Use of Improved Banana Varieties by Village in Uganda Enoch Mutebi Kikulwe Improved (exotic) banana varieties were found in 9 of the 27 survey villages of Uganda (3 in eastern Uganda and 6 in central Uganda. Elite endemic varieties were found in 14 villages. Table C.1 Share of farmers growing improved (exotic and elite) banana varieties (percent) Village FHIA01 FHIA03 FHIA17 FHIA21 FHIA 23 Km 5 All exotics a Elites b Kasamba — — — — — — — 5.00 Bubemba 5.00 — — — — — 5.00 25.00 Bugaddu — 5.00 — — — — 5.00 — Lumundi — — — — — — — 10.00 Buwaate — — — — — — — 5.00 Birongo — — — — — — — 10.00 Nakapinyi 20.00 — — — — — 20.00 — Kitegoba — — 5.00 — — — 5.00 10.00 Nangulwe — — — — — — — 5.00 Nakulabye 5.00 — — — — 5.00 10.00 10.00 Busige 30.00 65.00 55.00 — — 15.00 65.00 10.00 Akoboi — — — — — — — 5.00 Kyembazzi 5.00 — — — — — 5.00 5.00 Kalembe B (430) 5.00 — — — 5.00 — 10.00 — Mpumudde (432) — — — — — — — 5.00 Lusolo (434) — — — — — — — 35.00 Oriyoi A (437) 5.00 5.00 — 15.00 — 10.00 15.00 10.00 Note: — indicates none grown by farmers. a Includes data for all banana plots on all farms surveyed in the village. b Data are based on two major banana plots and all the elite varieties were aggregated (Mpologoma, Namaliga, and Kisansa) per banana plot schedule. 175
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An Economic Assessment of Banana Ge
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Contents List of Tables List of Fig
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Tables 3.1 Net marketing margins pe
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TABLES vii 6.5 Characteristics of h
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Figures 2.1 Sample domain: Elevatio
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Acknowledgments The International F
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SUMMARY xiii en’s education--and
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Acronyms and Abbreviations AGT ARDI
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Part I. Research Methods
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4 CHAPTER 1 practices in Africa are
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6 CHAPTER 1 periment station. Not a
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8 CHAPTER 1 niques (based on seed p
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10 CHAPTER 1 Cohen, J. I., and R. P
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CHAPTER 2 Elements of the Conceptua
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14 CHAPTER 2 ples of adoption disco
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16 CHAPTER 2 transgenic bananas cur
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18 CHAPTER 2 Figure 2.2 Sites sampl
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20 CHAPTER 2 Figure 2.4 Time profil
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Part II. Research Context
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here> 1near 3. 26 CHAPTER 3 major f
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28 CHAPTER 3 disease, which affects
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here> 1near 3. 30 CHAPTER 3 Table 3
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32 CHAPTER 3 Table 3.2 Banana produ
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34 CHAPTER 3 would only be able to
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36 CHAPTER 3 Nkonya, E., J. Pender,
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here> 1near 4. 38 CHAPTER 4 cash ne
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40 CHAPTER 4 Figure 4.1 Introductio
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42 CHAPTER 4 Research Introductions
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44 CHAPTER 4 Table 4.2 Names of the
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46 CHAPTER 4 The most widely used m
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48 CHAPTER 4 Ortíz, R., and D. Vuy
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here> 5.3near here>
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52 CHAPTER 5 Table 5.4 Percentage o
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54 CHAPTER 5 Table 5.7 Percentage o
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here> 9near 5. here> 10near 5. 56 C
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here> 12near 5. 58 CHAPTER 5 Table
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60 CHAPTER 5 Table 5.14 Number and
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here> 18near 5. 62 CHAPTER 5 Table
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64 CHAPTER 5 Table 5.20 Average num
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66 CHAPTER 5 Table 5.23 Percentage
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68 CHAPTER 5 Table 5.26 Average dis
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70 CHAPTER 5 considerably higher in
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Part III. Economic Assessment of Te
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76 CHAPTER 6 The agricultural house
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78 CHAPTER 6 grow, but have grown i
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80 CHAPTER 6 Table 6.2 Summary stat
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82 CHAPTER 6 tion. More frequent vi
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84 CHAPTER 6 Table 6.4 Prototype ho
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86 CHAPTER 6 Table 6.5 Characterist
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88 CHAPTER 6 References Cameron, A.
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90 CHAPTER 7 by-products of other f
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here> 1near 7. 92 CHAPTER 7 Table 7
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94 CHAPTER 7 ity in the two technol
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96 CHAPTER 7 Table 7.2 Definition o
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98 CHAPTER 7 The direct link betwee
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100 CHAPTER 7 Table 7.3 Factors inf
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102 CHAPTER 7 tive sign but are onl
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104 CHAPTER 7 fertility management
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106 CHAPTER 7 participatory decisio
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108 CHAPTER 7 Stevens, J. P. 2002.
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110 CHAPTER 8 defined as a function
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112 CHAPTER 8 inputs or implement c
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114 CHAPTER 8 Crop output is determ
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116 CHAPTER 8 Table 8.1 Variable de
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here> 8.6near here> 8.2near 8.3nea
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120 CHAPTER 8 Table 8.4 Production
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122 CHAPTER 8 during the SOM decomp
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Page 148 and 149: 132 CHAPTER 9 be reduced through la
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Page 152 and 153: 136 CHAPTER 9 Table 9.3 Coefficient
Page 154 and 155: 138 CHAPTER 9 Table 9.4 Mean compar
Page 156 and 157: 140 CHAPTER 9 References Anandajaya
Page 158 and 159: 142 CHAPTER 10 Table 10.1 Ugandan c
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Page 168 and 169: 152 CHAPTER 10 In terms of specific
Page 171: Part IV. Conclusions
Page 174 and 175: 158 CHAPTER 11 in cooking, brewing
Page 176 and 177: 160 CHAPTER 11 sumption and income
Page 178 and 179: 162 CHAPTER 11 4. 5. for which the
Page 181 and 182: APPENDIX A Banana Taxonomy for Ugan
Page 183 and 184: BANANA TAXONOMY FOR UGANDA 167 Tabl
Page 185 and 186: BANANA TAXONOMY FOR UGANDA 169 Tabl
Page 187 and 188: BANANA TAXONOMY FOR TANZANIA 171 Ta
Page 189: BANANA TAXONOMY FOR TANZANIA 173 Ta
Page 193 and 194: DETAILS OF SAMPLE SURVEY DESIGN 177
Page 199 and 200: VILLAGE SOCIAL STRUCTURE IN UGANDA
Page 201 and 202: List of Principal Authors and Contr
Page 203 and 204: ABOUT THE AUTHORS 187 rigation, and
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