An Economic Assessment of Banana Genetic Improvement and ...

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Copyright © 2007 International Food Policy Research Institute. All rights reserved. Sections of this material may be reproduced for personal and not-for-profit use without the express written permission of but with acknowledgment to IFPRI. To reproduce material contained herein for profit or commercial use requires express written permission. To obtain permission, contact the Communications Division . International Food Policy Research Institute 2033 K Street, NW Washington, D.C. 20006-1002, U.S.A. Telephone +1-202-862-5600 www.ifpri.org DOI: 10.2499/9780896291645RR155 Library of Congress Cataloging-in-Publication Data An economic assessment of banana genetic improvement and innovation in the Lake Victoria region of Uganda and Tanzania / M. Smale and W. Tushemereirwe, eds. p. cm. — (IFPRI research report ; 155) Includes bibliographical references. ISBN-13: 978-0-89629-164-5 (alk. paper) ISBN-10: 0-89629-164-2 (alk. paper) 1. Bananas—Genetic engineering—Economic aspects—Uganda. 2. Bananas— Genetic engineering—Economic aspects—Tanzania. I. Smale, Melinda. II. Tushemereirwe, W. III. International Food Policy Research Institute. IV. Series: Research report (International Food Policy Research Institute) ; 155. SB379.B2.E245 2007 338.1′7477209676—dc22 2007021387
Contents List of Tables List of Figures Foreword Acknowledgments Summary Acronyms and Abbreviations v ix x xi xii xv I. RESEARCH METHODS 1. Assessing the Impact of Technical Innovations in African Agriculture 3 Melinda Smale 2. Elements of the Conceptual Framework and Sample Survey Design 12 Melinda Smale, Svetlana Edmeades, Stanley Wood, and Robert Kalyebara II. RESEARCH CONTEXT 3. Overview of the Banana Economy in the Lake Victoria Regions of Uganda and Tanzania 25 Robert Kalyebara, Jackson M. Nkuba, Mgenzi Said Ramadhan Byabachwezi, Enoch Mutebi Kikulwe, and Svetlana Edmeades 4. Development and Dissemination of Improved Banana Cultivars and Management Practices in Uganda and Tanzania 37 Enoch Mutebi Kikulwe, Kephas Nowakunda, Mgenzi Said Ramadhan Byabachwezi, Jackson M. Nkuba, Josephine Namaganda, David Talengera, Enid Katungi, and Wilberforce Kateera Tushemereirwe 5. Characteristics of Banana-Growing Households and Banana Cultivars in Uganda and Tanzania 49 Svetlana Edmeades, Melinda Smale, Enoch Mutebi Kikulwe, Jackson M. Nkuba, and Mgenzi Said Ramadhan Byabachwezi III. ECONOMIC ASSESSMENT OF TECHNOLOGY ADOPTION AND IMPACT 6. A Trait-Based Model of the Potential Demand for Transgenic Banana Cultivars in Uganda 75 Svetlana Edmeades and Melinda Smale iii
Page 1: An Economic Assessment of Banana Ge
Page 5 and 6: Tables 3.1 Net marketing margins pe
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
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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
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
Page 89:
Part III. Economic Assessment of Te
Page 92 and 93:
76 CHAPTER 6 The agricultural house
Page 94 and 95:
78 CHAPTER 6 grow, but have grown i
Page 96 and 97:
80 CHAPTER 6 Table 6.2 Summary stat
Page 98 and 99:
82 CHAPTER 6 tion. More frequent vi
Page 100 and 101:
84 CHAPTER 6 Table 6.4 Prototype ho
Page 102 and 103:
86 CHAPTER 6 Table 6.5 Characterist
Page 104 and 105:
88 CHAPTER 6 References Cameron, A.
Page 106 and 107:
90 CHAPTER 7 by-products of other f
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here> 1near 7. 92 CHAPTER 7 Table 7
Page 110 and 111:
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
Page 118 and 119:
102 CHAPTER 7 tive sign but are onl
Page 120 and 121:
104 CHAPTER 7 fertility management
Page 122 and 123:
106 CHAPTER 7 participatory decisio
Page 124 and 125:
108 CHAPTER 7 Stevens, J. P. 2002.
Page 126 and 127:
110 CHAPTER 8 defined as a function
Page 128 and 129:
112 CHAPTER 8 inputs or implement c
Page 130 and 131:
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
Page 142 and 143:
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).
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
Page 162 and 163:
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
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 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 195 and 196:
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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