Crop research to benefit poor farmers in marginal areas of the developing world: A review of technical challenges and tools

CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources

Volumn 1, Issue , 2006, Pages

  Bellon, Mauricio R ^a  

^a BIOVERSITY INTERNATIONAL   (Italy)

Author keywords

Biotechnology; Marginal environments; Non market valuation; Participatory breeding; Poor; Poverty mapping; Priorities; Targeting

Indexed keywords

EID: 73349104314     PISSN: None     EISSN: 17498848     Source Type: Journal    
DOI: 10.1079/PAVSNNR20061070     Document Type: Review

References (89)

1. Evenson RE, Gollin D. Assessing the impact of the Green Revolution 1960 to 2000. Science 2003;300(5620):758-62.
2. Pingali PL. Milestones in Impact Assessment Research in the CGIAR, 1970-1999, With an Annotated Bibliography of Impact Assessment Studies Conducted in the CGIAR, 1970-1999, Prepared by Feldmann MP. Standing Panel on Impact Assessment, Technical Advisory Committee of the Consultative Group on International Agricultural Research, Mexico, DF; 2001.
3. Alston JM, Norton GW, Pardey PG. Science under Scarcity: Principles and Practice for Agricultural Research Evaluation and Priority Setting. Cornell University Press, Ithaca, NY; 1995.
4. Renkow M. Poverty, productivity and production environment: a review of the evidence. Food Policy 2000;25(4):463-78.
5. Kerr J, Kovalli S. Impact of agricultural research on poverty alleviation: conceptual framework with illustrations from the literature. Environment and Production Technology Division Discussion Paper 58. International Food Policy Research Institute, Washington, DC; 1999.
6. Fan S, Chan-Kang C. Returns to investment in less-favored areas in developing countries: a synthesis of evidence and implications for Africa. Food Policy 2004;29(4):431-44.
7. Almekinders CJM, Elings A. Collaboration of farmers and breeders: participatory crop improvement in perspective. Euphytica 2001;122(3):425-38.
8. Atlin GN, Cooper M, Bjørnstad Å. A comparison of formal and participatory breeding approaches using selection theory. Euphytica 2001;122(3):463-75.
9. Singh M, Ceccarelli S, Grando S. Genotype-environment interaction of crossover type: detecting its presence and estimating the crossover point. Theoretical and Applied Genetics 1999;99(6):988-95.
10. Bellon MR, Taylor JE. 'Folk' soil taxonomy and the partial adoption of new seed varieties. Economic Development and Cultural Change 1993;41(4):763-86.
11. Bänziger M, Cooper M. Breeding for low input conditions and consequences for participatory plant breeding examples from tropical maize and wheat. Euphytica 2001;122(3):503-19.
12. Ceccarelli S, Grando S, Bailey E, Amri A, El-Felah M, Nassif F, et al. Farmer participation in barley breeding in Syria, Morocco and Tunisia. Euphytica 2001;122(3):521-36.
13. Bellon MR, Hodson D, Bergvinson D, Beck D, Martinez-Romero E, Montoya J. Targeting agricultural research to benefit poor farmers: relating poverty mapping to maize environments in Mexico. Food Policy 2005;30(5/6):476-92.
14. Dercon S. Income risk, coping strategies and safety nets. The World Bank Research Observer 2002;17(2):141-66.
15. Fafchamps M. Rural poverty, risk and development. FAO Economic and Social Development Paper 144. Food and Agriculture Organization (FAO), Rome; 1999.
16. Anderson JR, Hazell PBR. Variability in Grain Yields: Implications for Agricultural Research and Policy in Developing Countries. Johns Hopkins Press, Baltimore, MD; 1989.
17. Hardaker JB, Huirne RBM, Anderson JR, Lien G. Coping with Risk in Agriculture. 2nd ed. CABI Publishing, Wallingford; 2004.
18. Schreinemachers P. The (ir)relevance of the crop yield gap concept to food security in developing countries with an application of multi agent modeling to farming systems in uganda [PhD dissertation]. Bonn University; 2005. Available from: URL: http://hss.ulb.uni-bonn.de/diss-online/landw-fak/2006/ schreinemachers-pepijn/0777.pdf (accessed 30 November 2006).
19. Evans LT. Crop Evolution Adaptation and Yield. Cambridge University Press, Cambridge; 1996.
20. Adesina A, Baidu-Forson J. Farmers' perceptions and adoption of new agricultural technology: evidence from analysis in Burkina Faso and Guinea, West Africa. Agricultural Economics 1995;13(1):1-9.
21. Edmeades S, Smale M, Renkow M, Phaneuf D. Variety demand within the framework of an agricultural household model with attributes: the case of bananas in Uganda. Environment and Production Technology Division Discussion Paper No. 125. International Food Policy Research Institute, Washington, DC; 2004.
22. Sall S, Norman D, Featherstone AM. Quantitative assessment of improved rice variety adoption: the farmer's perspective. Agricultural Systems 2000;66(2):129-44.
23. Bellon MR. The dynamics of crop infraspecific diversity: a conceptual framework at the farmer level. Economic Botany 1996;50(1):26-39.
24. Smale M. Valuing Crop Biodiversity: On-farm Genetic Resources and Economic Change. CABI Publishing, Wallingford; 2006.
25. Kornegay J, Beltran JA, Ashby J. Farmer selections within segregating populations of common bean in Colombia. In: Eyzaguirre P, Iwanaga M, editors. Participatory Plant Breeding: Proceedings of a Workshop on Participatory Plant Breeding. International Plant Genetic Resource Institute (IPGRI), Rome; 1996. p. 151-9.
26. Thiele G, Gardner G, Torres R, Gabriel J. Farmer involvement in selecting new varieties: potatoes in Bolivia. Experimental Agriculture 1997;33(3):275-90.
27. Morris MM, Bellon MR. Participatory plant breeding research: opportunities and challenges for the international crop improvement system. Euphytica 2004;136(1):21-35.
28. de Janvry A, Fafchamps M, Sadoulet E. Peasant household behavior with missing markets - some paradoxes explained. Economic Journal 1991;101(409):1400-17.
29. Hintze LH, Renkow M, Sain G. Variety characteristics and maize adoption in Honduras. Agricultural Economics 2003;29(3):307-17.
30. Van Dusen ME, Taylor JE. Missing markets and crop diversity: evidence from Mexico. Environment and Development Economics 2005;10(4):513-31.
31. FAO. Report on the State of the World's Plant Genetic Resources for Food and Agriculture. Prepared for the International Technical Conference on Plant Genetic Resources, Leipzig, Germany, 17-23 June 1996. FAO, Rome; 1996.
32. Padulosi S, Eyzaguirre P, Hodgkin T. Challenges and strategies in promoting conservation and use of underutilized and neglected species. In: Janick J, editor. Perspective on New Crops and New Uses, Proceedings of the Fourth National Symposium on New Crops and New Uses. Biodiversity and Agricultural Sustainability; ASHS Press, Alexandria VA; 1999. p. 140-45.
33. Padulosi S, Hodgkin T, Williams JT, Haq N. Underutilized crops: trends, challenges and opportunities in the 21st century. In: Engels JMM, Rao R, Brown AHD, Jackson MT, editors. Managing Plant Genetic Diversity. International Plant Genetic Research Institute, Rome; 2002. p. 323-38.
34. Gruère G, Giuliani A, Smale M. Marketing underutilized plant species for the benefit of the poor: a conceptual framework. Environment and Production Technology Discussion Paper 154. International Food Policy Research Institute, Washington, DC; 2006.
35. Naylor RL, Falcon W, Goodman RM, Jahn MM, Sengooba T, Tefera H, et al. Biotechnology in the developing world: a case for increased investments in orphan crops. Food Policy 2004;29(1):15-44.
36. Johns T, Sthapit BR. Biocultural diversity in the sustainability of developing country food systems. Food and Nutrition Bulletin 2004;25(2):143-55.
37. Johns T, Eyzaguirre PB. Nutrition and the environment. In: Nutrition: A Foundation for Development. United Nations Administrative Committee on Coordination/Sub Committee on Nutrition (ACC/SCN), Geneva; 2002. Available from: URL: http://www.unsystem.org/SCN/Publications/foundation4dev/05Environment.pdf (accessed 22 December 2006).
38. Hartkamp AD, White JW, Rodríguez Aguilar A, Bänziger M, Srinivasan G, Granados G, et al. Maize production environments revisited: a GIS-based approach. Centro Internacional de Mejoramiento de Maíz y Trigo (CIMMYT), Mexico, DF; 2000.
39. White JW, Tanner DG, Corbett JD. An agro-climatological characterization of bread wheat production areas in Ethiopia. Natural Resources Group-Geographic Information Systems Series 01-01. CIMMYT, Mexico, DF; 2001.
40. Bänziger M, Setimela P, Hodson D, Vivek B. Breeding for improved abiotic stress tolerance in maize adapted to southern Africa. Agricultural Water Management 2006;24(1/3):212-24.
41. Bigman D, Fofack H (editors). Geographical Targeting for Poverty Alleviation: Methodology and Applications. The World Bank, Washington, DC; 2000.
42. Davis B. Choosing a Method for Poverty Mapping. FAO Agriculture and Economic Development Analysis Division, FAO, Rome; 2003.
43. Henninger N, Snel M. Where are the Poor?: Experiences with the Development and Use of Poverty Maps. Research Report. World Resources Institute, Washington, DC; 2002.
44. Skoufias E, Davis B, De La Vega S. Targeting the poor in Mexico: an evaluation of the selection of households into PROGRESA. World Development 2001;29(10):1769-84.
45. Pachico D, Hertford R, de Janvry A. Assessing the impact of agricultural research on poverty alleviation: some issues and priorities. Food Policy 2000;25(4):379-88.
46. Byerlee D. Targeting poverty alleviation in priority setting for agricultural research. Food Policy 2000;25(4):429-45.
47. Cullis J, O'Regan D. Targeting the water-poor through water poverty mapping. Water Policy 2004;6(5):397-411.
48. Hyman G, Larrea C, Farrow A. Methods, results and policy implications of poverty and food security mapping assessments. Food Policy 2005;30(5/6):453-60.
49. Kristjanson P, Radeny M, Baltweck I, Ogutu J, Notenbaert A. Livelihood mapping and poverty correlates at a meso-level in Kenya. Food Policy 2005;30(5/6):568-83.
50. Ruggeri Laderchi C, Saith R, Stewart F. Does it matter that we do not agree on the definition of poverty? A comparison of four approaches. Oxford Development Studies 2003;31(3):243-74.
51. Minot N, Baulch B. Poverty mapping with aggregate census data: what is the loss in precision? Review of Development Economics 2005;9(1):5-24.
52. Elbers C, Lanjouw JO, Lanjouw P. Micro-level estimation of poverty and inequality. Econometrica 2003;71(1):355-64.
53. Hentschel J, Lanjouw JO, Lanjouw P, Poggi J. Combining census and survey data to trace spatial dimensions of poverty: a case study of Ecuador. World Bank Economic Review 2000;14:147-65.
54. Balk D, Storeygard A, Levy M, Gaskell J, Sharma M, Flor R. Child hunger in the developing world: an analysis of environmental and social correlates. Food Policy 2005;30(5/6):584-611.
55. Food Insecurity and Vulnerability Information and Mapping Systems (FIVIMIS). Web site [cited 30 November 2006]. Available from: URL: http://www.fivims.net/index.jspx?lang=en
56. Bellon MR. Participatory Research Methods for Technology Evaluation: A Manual for Scientists Working with Farmers. CIMMYT, Mexico, DF; 2001.
57. Witcombe JR, Joshi KD, Gyawali S, Musa AM, Johansen C, Virk DS, et al. Participatory plant breeding is better described as highly client-oriented plant breeding. I. Four indicators of client-oriented plant breeding. Experimental Agriculture 2005;41(3):299-320.
58. Weltzien E, Smith ME, Meitzner LS, Sperling L. Technical and institutional issues in participatory plant breeding - from the perspective of formal plant breeding. An analysis of issues, results, and current experience. CGIAR Systemwide Program on Participatory Research and Gender Analysis for Technology Development and Institutional Innovation Working Document 3, Cali, Colombia; 2000.
59. Ceccarelli S. Adaptation to low/high input cultivation. Euphytica 1996;92(1-2):203-14.
60. van Eeuwijk FA, Cooper M, DeLacy IH, Ceccarelli S, Grando S. Some vocabulary and grammar for the analysis of multi-environment trials, as applied to the analysis of FPB and PPB trials. Euphytica 2001;122(3):477-90.
61. Bänziger M, Edmeades GO, Beck D, Bellon M. Breeding for Drought and Nitrogen Stress Tolerance in Maize: From Theory to Practice. CIMMYT, Mexico, DF; 2000.
62. Witcombe JR, Joshi A, Joshi KD, Sthapit BR. Farmer participatory crop improvement. I: varietal selection and breeding methods and their impact on biodiversity. Experimental Agriculture 1996;32(4):445-60.
63. Bänziger M, De Meyer J. Collaborative maize variety development for stress-prone environments in southern Africa. In: Cleveland DA, Soleri D, editors. Farmers, Scientists and Plant Breeding: Integrating Knowledge and Practice. CABI Publishing, Wallingford; 2002. p. 269-96.
64. van Oosterom EJ, Whitaker ML, Weltzien E. Integrating genotype by environment interaction analysis, characterization of drought patterns, and farmer preferences to identify adaptive plant traits for pearl millet. In: Cooper M, Hammer GL, editors. Plant Adaptation and Crop Improvement. CABI Publishing, Wallingford; 1996. p. 383-402.
65. Courtois B, Bartholome B, Chaudhary D, McLaren G, Misra CH, Mandal NP, et al. Comparing farmers and breeders rankings in varietal selection for low-input environments: a case study of rainfed rice in eastern India. Euphytica 2001;122(3):537-50.
66. Witcombe JR, Gyawali S, Sunwar S, Sthapit BR, Joshi KD. Participatory plant breeding is better described as highly client-oriented plant breeding. II. Optional farmer collaboration in the segregating generations. Experimental Agriculture 2006;42(1):79-90.
67. Ceccarelli S, Bailey E, Grando S, Tutwiler R. Decentralized, participatory plant breeding: a link between formal plant breeding and small farmers. In: New Frontiers in Participatory Research and Gender Analysis: Proceedings of the International Seminar on Participatory Research and Gender Analysis for Technology Development. Centro Internacional de Agricultura Tropical (CIAT), Cali, Colombia; 1997. p. 65-74.
68. Joshi A, Witcombe JR. Farmer participatory crop improvement. II. Participatory varietal selection, a case of India. Experimental Agriculture 1996;32(4):461-77.
69. Witcombe JR, Joshi KD, Rana RB, Virk DS. Increasing genetic diversity by participatory varietal selection in high potential production systems in Nepal and India. Euphytica 2001;122(3):575-88.
70. Ceccarelli S, Grando S, Tutwiler R, Baha J, Martini AM, Salahieh H, et al. A methodological study on participatory barley breeding. I. Selection Phase. Euphytica 2000;111(2):91-104.
71. Abeyasekera S, Ritchie JM, Lawson-McDowall J. Combining ranks and scores to determine farmers' preferences for bean varieties in Southern Malawi. Experimental Agriculture 2002;38(1):97-109.
72. Coe R. Analyzing ranking and rating data from participatory on-farm trials. In: Bellon MR, Reeves J, editors. Quantitative Analysis of Data from Participatory Methods in Plant Breeding. CIMMYT, Mexico, DF; 2002. p. 44-65.
73. Birol E, Smale M, Gyovai A. Using a choice experiment to estimate farmers' valuation of agrobiodiversity on Hungarian small farmers. Environmental and Resource Economics 2006;34(4):439-69.
74. Scarpa R, Drucker AG, Anderson S, Ferraes-Ehuan N, Gomez V, Risopatron CR, et al. Valuing genetic resources in peasant economies: the case of 'hairless' creole pigs in Yucatan. Ecological Economics 2003;45(3):427-43.
75. Scarpa R, Ruto ESK, Kristjanson P, Radney M, Drucker AG, Rege JEO. Valuing indigenous cattle breeds in Kenya: an empirical comparison of stated and revealed preference value estimates. Ecological Economics 2003;45(3):409-26.
76. Lybbert TJ. Indian farmers' valuation of yield distributions: will the poor farmers value 'pro-poor' seeds? Food Policy 2006;31(5):415-41.
77. Baidu-Forson J, Waliyar F, Ntare BR. Farmer preferences for socioeconomic and technical interventions in groundnut production system in Niger: conjoint and ordered probit analyses. Agricultural Systems 1997;54(4):463-76.
78. Edmeades S, Smale M, Karamura D. Demand for cultivar attributes and the biodiversity of bananas on farms in Uganda. In: Smale S, editor. Valuing Crop Biodiversity: On-farm Genetic Resources and Economic Change. CABI Publishing, Wallingford; 2006. p. 97-118.
79. Rovere La R, Aw-Hassan A, Turkelboom F, Thomas R. Targeting research for poverty reduction in marginal areas of rural Syria. Development and Change 2006;37(3):627-48.
80. Crossa J, Bellon MR, Franco J. A quantitative method for classifying farmers using socio-economic variables. In: Bellon MR, Reeves J, editors. Quantitative Analysis of Data from Participatory Methods in Plant Breeding. CIMMYT, Mexico, DF; 2002. p. 113-27.
81. Adato M, Meizen-Dick R. Assessing the impact of agricultural research on poverty using the sustainable livelihoods framework. Environment and Production Technology Division Discussion Paper No. 89. International Food Policy Research Institute, Washington, DC; 2003.
82. Smith K, Barrett CB, Box PW. Participatory risk mapping for targeting research and assistance; with an example from East African pastoralist. World Development 2000;28(11):1945-59.
83. Bellon MR, Berthaud J, Smale M, Aguirre JA, Taba S, Aragón F, et al. Participatory landrace selection for on farm conservation: an example from the central valleys of Oaxaca, Mexico. Genetic Resources and Crop Evolution 2003;50(4):401-16.
84. Bergvinson D, García-Lara S. Genetic approaches to reducing losses of stored grain to insects and diseases. Current Opinion in Plant Biology 2004;7:480-5.
85. Atkinson HJ, Green J, Cowgill S, Levesley A. The case for genetically modified crops with a poverty focus. Trends in Biotechnology 2001;19(3):91-6.
86. Delmer DP. Agriculture in the developing world: connecting innovations in plant research to downstream applications. Proceedings of the National Academy of Sciences of the United States of America 2005;102(44):15739-46.
87. Kelemu S, Mahuku G, Fregene M, Pachico D, Johnson N, Calvert L, et al. Harmonizing the agricultural biotechnology debate for the benefit of African farmers. African Journal of Biotechnology 2003;2(11):394-416.
88. Toenniessen G, O'Toole JC, DeVries J. Advances in plant biotechnology and its adoption in developing countries. Current Opinion in Plant Biology 2003;6:191-8.
89. Eicher C, Maredia K, Sithole-Niang I. Crop biotechnology and the African farmer. Food Policy 2006;31(6):504-27.