An Economic Assessment of Banana Genetic Improvement and ...

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166 APPENDIX A Table A.1 (continued) Cultivar name Synonyms Genomic group Common use Household share (percent) Cultivar share (percent) 11 Enkyonkyo — 1 1 0.77 0.02 12 Ensenyuka — 1 2 0.77 0.05 13 Enshenyi — 1 1 3.87 4.01 14 Enshenyi Embiire — 1 2 2.71 0.45 15 Ensika Engumba 1 2 1.55 0.04 16 Ensowe Nsowe 1 2 2.90 0.16 17 Enzirabahima Kalyankoko 1 4 7.74 0.77 Kibalawo Enjuumba 18 Entukura Engabani 1 2 3.29 0.20 19 Enyabotembe — 1 2 2.32 0.15 20 Enyaruyonga Naluyonga 1 1 4.06 0.17 21 Enzinga Rugata 1 1 0.39 0.01 Nalwetinga 22 Gonja Wette 22 5 14.31 0.66 (AAB) 23 Kabula Enyamaizi 1 2 5.80 0.52 Namaji 24 Kaburuka — 1 1 2.13 0.05 25 Kalyankoko — 1 1 0.77 0.03 26 Kamenyaggali Kahendagari 1 1 0.58 0.15 27 Kapusente — 1 4 0.97 0.02 28 Kasese — 1 1 0.19 0.00 29 Katalibwambuzi — 1 2 0.58 0.01 30 Katwalo Entanzinduka 1 1 2.90 0.23 Enzoga Kashenga 31 Kaw<strong>and</strong>a (FHIA) 23 4 4.45 1.01 FHIA01 FHIA03 FHIA17 FHIA23 (AAAB) (AABB) (AAAA) (AAAA) 32 Kayinja — 22 2 14.31 4.04 (ABB) 33 Kazirikwe — 1 1 0.19 0.00 34 Keitabunyonyi — 1 1 0.19 0.01 35 Kibuzi Enshansha 1 1 32.50 6.38 36 Kidhozi — 22 4 9.48 0.79 (ABB) 37 Kininira — 1 1 1.55 0.07 38 Kisubi Egero-gero Kanyamwenge 22 (AB) 2 28.43 3.99
BANANA TAXONOMY FOR UGANDA 167 Table A.1 (continued) Cultivar name Synonyms Genomic group Common use Household share (percent) Cultivar share (percent) 39 Kivuvu Boki-boki 22 4 14.31 1.17 Ruhumbo Ekalimon (ABB) 40 Kiyovu Kisansa 1 1 11.61 2.10 Namayovu Nakayovu Kayovu Mayovu 41 Km5 — 23 4 0.77 0.03 (AAA) 42 Lwaddungu Ntika 1 1 5.03 0.99 Ntwiika 43 Lyewudhika Nalwewunzika 1 1 0.39 0.02 44 Majaga — 22 5 0.39 0.06 (AAB) 45 Makunku Bukumo 1 1 2.51 0.05 Bukunko 46 Malira Nakasabira — 1 1 0.77 0.02 47 Malira Nalugiri Soolabasezaala 1 1 1.93 0.13 48 Malira Nalwela — 1 1 2.51 0.10 49 Malira Omwirugavu — 1 1 0.19 0.04 50 Malira Rufuta — 1 1 0.39 0.04 51 Malira Tatakange Mukale Sitakange 1 1 0.19 0.01 52 Manjaya — 22 5 0.19 0.00 (AAB) 53 Mbarara Rwambarara 1 1 0.58 0.22 54 Mbidde Embiire Ibide 1 2 20.12 4.79 55 Mbwazirume — 1 1 37.33 4.92 56 Mudwale Mpologoma Mbale Batule Basimirayo 1 1 5.80 1.64 57 Mugeso — 1 1 0.39 0.01 58 Mukadde alikisa — 1 1 0.97 0.37 59 Mukazimugumba — 1 1 0.58 0.01 60 Musa — 22 (ABB) 2 15.86 4.07 61 Musakala Nsaagala Namasagala Enshakara Luwata Mayogi 1 1 32.88 4.30 (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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Page 136 and 137: 120 CHAPTER 8 Table 8.4 Production
Page 138 and 139: 122 CHAPTER 8 during the SOM decomp
Page 140 and 141: 124 CHAPTER 8 Supplementary Tables
Page 142 and 143: 126 CHAPTER 8 Table 8A.3 Production
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: APPENDIX A Banana Taxonomy for Ugan
Page 185 and 186: BANANA TAXONOMY FOR UGANDA 169 Tabl
Page 187 and 188: BANANA TAXONOMY FOR TANZANIA 171 Ta
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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