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Quantitative Analysis Of Data From Participatory Methods In Plant Breeding

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  • Bellon, Mauricio R.
  • Reeves, Jane

Abstract

Although participatory plant breeding (PPB) is gaining greater acceptance worldwide, the techniques needed to analyze the data from participatory methodologies in the context of plant breeding are still not well known or understood. Scientists from different disciplines and cropping backgrounds, working in international research centers and universities, discussed and exchanged methods and ideas at a workshop on the quantitative analysis of data from participatory methods in plant breeding. The papers in this volume address the three themes of the workshop: designing and analyzing joint experiments involving variety evaluation by farmers; identifying and analyzing farmers' evaluations of crop characteristics and varieties; and dealing with social heterogeneity and other research issues. Topics covered included different statistical methodologies for analyzing data from on-farm trials; the mother-baby trial system, which is designed to incorporate farmer participation into research; the identification and evaluation of maize landraces by small-scale farmers; and a PPB process that aims to address the difficulties of setting breeding goals and choosing parents in diversity research studies. Summaries of the discussion, as well as the participatory breeding work currently conducted by the participants, are provided.

Suggested Citation

  • Bellon, Mauricio R. & Reeves, Jane, 2002. "Quantitative Analysis Of Data From Participatory Methods In Plant Breeding," Manuals 23718, CIMMYT: International Maize and Wheat Improvement Center.
  • Handle: RePEc:ags:cimmma:23718
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    File URL: http://purl.umn.edu/23718
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    Cited by:

    1. Bellon, Mauricio R. & Adato, Michelle & Becerril, Javier & Mindek, Dubravka, 2006. "Poor farmers' perceived benefits from different types of maize germplasm: The case of creolization in lowland tropical Mexico," World Development, Elsevier, vol. 34(1), pages 113-129, January.
    2. Ouma, James Okuro & Bett, Charles & Githaigah, T., 2010. "Markets Access, Approaches and Opportunities for Quality Protein Maize Products," 2010 AAAE Third Conference/AEASA 48th Conference, September 19-23, 2010, Cape Town, South Africa 96173, African Association of Agricultural Economists (AAAE);Agricultural Economics Association of South Africa (AEASA).
    3. Matthew Schnurr & Sarah Mujabi-Mujuzi, 2014. "“No one asks for a meal they’ve never eaten.” Or, do African farmers want genetically modified crops?," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 31(4), pages 643-648, December.
    4. Muange, Elijah N. & Schwarze, Stefan & Qaim, Matin, 2014. "Social networks and farmer exposure to improved crop varieties in Tanzania," Discussion Papers 183635, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
    5. Bellon, Mauricio R. & Adato, Michelle & Becerril, Javier & Mindek, Dubravka, 2003. "The impact of improved maize germplasm on poverty alleviation," FCND discussion papers 162, International Food Policy Research Institute (IFPRI).
    6. De Groote, Hugo & Rutto, Esther & Odhiambo, George & Kanampiu, Fred & Khan, Zeyaur & Coe, Richard & Vanlauwe, Bernard, 2010. "Participatory evaluation of integrated pest and soil fertility management options using ordered categorical data analysis," Agricultural Systems, Elsevier, vol. 103(5), pages 233-244, June.
    7. Jeffery Bentley, 2006. "Folk experiments," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 23(4), pages 451-462, December.
    8. Kuntashula, Elias & Mafongoya, Paramu L., 2005. "Farmer participatory evaluation of agroforestry trees in eastern Zambia," Agricultural Systems, Elsevier, vol. 84(1), pages 39-53, April.

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    Keywords

    Research Methods/ Statistical Methods;

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