An Economic Assessment of Banana Genetic Improvement and ...

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APPENDIX B Banana Taxonomy for Tanzania Svetlana Edmeades and Deborah Karamura As in the case of Uganda, a subset of key banana descriptors was preselected to include in the sample survey based on previous taxonomic research. Farmers surveyed named the cultivars planted in their banana groves during the survey season and described them in terms of each characteristic (bunch size, bunch position, finger compactness, size of fingers, maturation period, pseudostem color, and space between the hands of the bunch). Responses were then cross-checked with existing taxonomic knowledge. Exotics and hybrids are classified as different subsets of nonendemic bananas. Survey data were then used to calculate household and cultivar shares. 1here>
BANANA TAXONOMY FOR TANZANIA 171 Table B.1 (continued) Cultivar name Synonyms Genomic group Common use Household share (percent) Cultivar share (percent) 10 Embilabile (E)Mbilabile(a) 1 1 0.90 1.26 11 Embile — 1 2 1.87 1.06 12 Embululu Nakabululu 1 1 0.26 0.09 Enakabululu Kabulu 13 Embwailuma Mwanaalifa 1 1 3.36 2.43 Mwanakufa Mbwazirume Mbwail(r)uma Mbwairuma Mwankule 14 Emfumbo — 1 1 0.22 0.31 15 Empigi — 1 1 0.26 0.04 16 Empindwi Mpindu 1 1 0.22 0.25 17 Enakasese — 1 2 0.07 0.05 18 Enchoncho En(y)abusa 1 1 4.86 7.75 End(e)aisya Enyambo 19 Endekula — 1 1 0.04 0.001 20 Endemela — 1 2 0.07 0.02 21 Enduluma — — a 2 0.04 0.004 22 Endumuza — — a 1 0.41 0.88 23 Engagala Endibwa 1 1 1.38 2.12 Endibwabali Endibwabarungi Ndiwa Engagara 24 Enganda — 1 1 0.07 0.50 25 Engumba — 1 2 0.82 0.39 26 Enjoga Enjogo 1 1 0.34 0.11 Enjooga 27 Enjoki Kajoki 1 1 0.15 0.09 28 Enjubo Mujubu 1 1 3.40 1.74 Njumbo 29 Enjujuzi Enjunjuzi 1 1 0.49 0.11 30 Enjuma (E)Njumba 1 1 0.11 0.04 Kanuma 31 Enjuta Kajunta 1 1 0.04 0.02 32 Enkila Enkira 1 2 0.30 0.16 Enchila 33 Enkonjwa Enkonjwa/kya Nkonjwa 22 (AAB) 5 3.32 0.71 (continued)
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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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Page 144 and 145: 128 CHAPTER 8 Thomas, G. W. 1982. E
Page 146 and 147: 130 CHAPTER 9 (Nkuba et al. 1999).
Page 148 and 149: 132 CHAPTER 9 be reduced through la
Page 150 and 151: 134 CHAPTER 9 Table 9.2 Summary sta
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
Page 160 and 161: 144 CHAPTER 10 (Kangire and Rutherf
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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: BANANA TAXONOMY FOR UGANDA 169 Tabl
Page 189 and 190: BANANA TAXONOMY FOR TANZANIA 173 Ta
Page 191 and 192: APPENDIX C Use of Improved Banana V
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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