An Economic Assessment of Banana Genetic Improvement and ...

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iv CONTENTS 7. Social Capital and Soil Fertility Management in the Banana Production Systems of Uganda 89 Enid Katungi, Melinda Smale, Charles Machethe, and Wilberforce Kateera Tushemereirwe 8. Determinants of Banana Productivity and Technical Efficiency in Uganda 109 Fredrick Bagamba, Ruerd Ruben, and Mariana Rufino 9. Use of Hybrid Cultivars in Kagera Region, Tanzania, and Their Impact 129 Svetlana Edmeades, Jackson M. Nkuba, and Melinda Smale 10. Assessing the Potential Impact of Selected Technologies on the Banana Industry in Uganda 141 Robert Kalyebara, Stanley Wood, and Pamela Nahamya Abodi IV. CONCLUSIONS 11. Conclusions and Implications for Research Policy 157 Melinda Smale, Wilberforce Kateera Tushemereirwe, Pamela Nahamya Abodi, Fredrick Bagamba, Mgenzi Said Ramadhan Byabachwezi, Svetlana Edmeades, Robert Kalyebara, Enid Katungi, Enoch Mutebi Kikulwe, Jackson M. Nkuba, and Stanley Wood Appendix A: Banana Taxonomy for Uganda 165 Svetlana Edmeades and Deborah Karamura Appendix B: Banana Taxonomy for Tanzania 170 Svetlana Edmeades and Deborah Karamura Appendix C: Use of Improved Banana Varieties by Village in Uganda 175 Enoch Mutebi Kikulwe Appendix D: Details of Sample Survey Design 176 Melinda Smale, Pamela Nahamya Abodi, Ingrid Rhinehart, Svetlana Edmeades, Mgenzi Said Ramadhan Byabachwezi, Charles A. Eledu, Kephas Nowakunda, and Stanley Wood Appendix E: Village Social Structure in Uganda 182 Enid Katungi List of Principal Authors and Contributors 185
Tables 3.1 Net marketing margins per bunch of cooking bananas from western Uganda to Kampala (Ush) 30 3.2 Banana product segmentation in Tanzania 32 3.3 Estimates of cross-border trade between Uganda and neighboring countries, 1999 (tons) 33 4.1 Key dates in the history of banana improvement in Uganda 39 4.2 Names of the superior bananas disseminated by the Kagera Community Development Programme 44 4.3 Estimated quantities of planting material (numbers of suckers) supplied to farmers during the Kagera Community Development Programme 45 4.4 Percentage of survey farmers obtaining information about banana management practices, by source of information 45 5.1 Social and demographic characteristics of households, by elevation, Tanzania and Uganda 50 5.2 Average total value per household of crops stored, livestock, and other assets, and percentage distribution by type of asset, Uganda (Ush) 51 5.3 Average total value per household of crops stored, livestock, and other assets, and percentage distribution by type of asset, Tanzania (Tsh) 51 5.4 Percentage of farmers using credit, and use of credit, by elevation, Uganda 52 5.5 Average land owned and cropped, banana as a percentage of total cropped area, and age of banana plantations, by elevation, Tanzania and Uganda 53 5.6 Percentage of households participating in banana markets, selling or buying bananas, by elevation, Uganda and Tanzania 53 5.7 Percentage of banana production, sales, and use decisions made by women, by elevation, Uganda and Tanzania 54 5.8 Average number of banana cultivars per household and per village, Uganda 55 5.9 Most common banana cultivar sold, prices, and time to market, by elevation, Uganda 56 5.10 Average number of banana cultivars per household, by genomic group, Tanzania 57 5.11 Average rating of endemic and hybrid bananas, by attribute, Uganda and Tanzania 57 v
Page 1 and 2: An Economic Assessment of Banana Ge
Page 3: Contents List of Tables List of Fig
Page 7 and 8: TABLES vii 6.5 Characteristics of h
Page 9 and 10: Figures 2.1 Sample domain: Elevatio
Page 11 and 12: Acknowledgments The International F
Page 13 and 14: SUMMARY xiii en’s education--and
Page 15 and 16: Acronyms and Abbreviations AGT ARDI
Page 17: Part I. Research Methods
Page 20 and 21: 4 CHAPTER 1 practices in Africa are
Page 22 and 23: 6 CHAPTER 1 periment station. Not a
Page 24 and 25: 8 CHAPTER 1 niques (based on seed p
Page 26 and 27: 10 CHAPTER 1 Cohen, J. I., and R. P
Page 28 and 29: CHAPTER 2 Elements of the Conceptua
Page 30 and 31: 14 CHAPTER 2 ples of adoption disco
Page 32 and 33: 16 CHAPTER 2 transgenic bananas cur
Page 34 and 35: 18 CHAPTER 2 Figure 2.2 Sites sampl
Page 36 and 37: 20 CHAPTER 2 Figure 2.4 Time profil
Page 39: Part II. Research Context
Page 42 and 43: here> 1near 3. 26 CHAPTER 3 major f
Page 44 and 45: 28 CHAPTER 3 disease, which affects
Page 46 and 47: here> 1near 3. 30 CHAPTER 3 Table 3
Page 48 and 49: 32 CHAPTER 3 Table 3.2 Banana produ
Page 50 and 51: 34 CHAPTER 3 would only be able to
Page 52 and 53: 36 CHAPTER 3 Nkonya, E., J. Pender,
Page 54 and 55:
here> 1near 4. 38 CHAPTER 4 cash ne
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40 CHAPTER 4 Figure 4.1 Introductio
Page 58 and 59:
42 CHAPTER 4 Research Introductions
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44 CHAPTER 4 Table 4.2 Names of the
Page 62 and 63:
46 CHAPTER 4 The most widely used m
Page 64 and 65:
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
Page 104 and 105:
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
Page 120 and 121:
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
Page 128 and 129:
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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124 CHAPTER 8 Supplementary Tables
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126 CHAPTER 8 Table 8A.3 Production
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128 CHAPTER 8 Thomas, G. W. 1982. E
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130 CHAPTER 9 (Nkuba et al. 1999).
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132 CHAPTER 9 be reduced through la
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134 CHAPTER 9 Table 9.2 Summary sta
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136 CHAPTER 9 Table 9.3 Coefficient
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138 CHAPTER 9 Table 9.4 Mean compar
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140 CHAPTER 9 References Anandajaya
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142 CHAPTER 10 Table 10.1 Ugandan c
Page 160 and 161:
144 CHAPTER 10 (Kangire and Rutherf
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146 CHAPTER 10 Table 10.4 Predomina
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here> 7near 10. 148 CHAPTER 10 Tabl
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150 CHAPTER 10 Table 10.8 Present v
Page 168 and 169:
152 CHAPTER 10 In terms of specific
Page 171:
Part IV. Conclusions
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158 CHAPTER 11 in cooking, brewing
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160 CHAPTER 11 sumption and income
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162 CHAPTER 11 4. 5. for which the
Page 181 and 182:
APPENDIX A Banana Taxonomy for Ugan
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BANANA TAXONOMY FOR UGANDA 167 Tabl
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BANANA TAXONOMY FOR UGANDA 169 Tabl
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BANANA TAXONOMY FOR TANZANIA 171 Ta
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BANANA TAXONOMY FOR TANZANIA 173 Ta
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APPENDIX C Use of Improved Banana V
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DETAILS OF SAMPLE SURVEY DESIGN 177
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Page 197 and 198:
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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