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How Can Pairing Quantitative With Qualitative Data Collection Methods Better Elicit Rice Varietal Selection? Evidence From Burundi

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  • Mary Ng’endo
  • Julien Nduwimana
  • Donald Villanueva
  • Matty Demont

Abstract

Participatory Varietal Selection (PVS) is the selection by stakeholders of varieties in advanced testing stages by plant breeding programs. With Burundi as a case example, this study incorporated qualitative Focus Group Discussions (FGDs) into the quantitative PVS structure so as to elicit deeper insights into rice trait preferences and illuminate broader issues affecting rice farmers. During two consecutive years, this study surveyed 174 participants across six stakeholder groups (administrators, farmers, custom millers, researchers, seed producers, and traders) in three locations. There were statistically significant associations in rice trait preferences across locations, participating stakeholders, and genders, highlighting preference alignment. Moreover, multiple traits were desired simultaneously, beyond productivity-related traits, and sometimes contradicting researchers’ preferences, especially in rainfed systems. By moving beyond quantitative PVS preference scores as being the only way of gathering trait preference data, this study has shown how the incorporation of qualitative FGDs into the PVS structure can elicit deeper insights on trait preferences and illuminate broader issues affecting rice farmers, which when solved can accelerate the momentum in widespread adoption of new rice varieties.

Suggested Citation

  • Mary Ng’endo & Julien Nduwimana & Donald Villanueva & Matty Demont, 2023. "How Can Pairing Quantitative With Qualitative Data Collection Methods Better Elicit Rice Varietal Selection? Evidence From Burundi," SAGE Open, , vol. 13(4), pages 21582440231, December.
    • Handle: RePEc:sae:sagope:v:13:y:2023:i:4:p:21582440231218579
    DOI: 10.1177/21582440231218579
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    References listed on IDEAS

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    1. Nhamo, Nhamo & Rodenburg, Jonne & Zenna, Negussie & Makombe, Godswill & Luzi-Kihupi, Ashura, 2014. "Narrowing the rice yield gap in East and Southern Africa: Using and adapting existing technologies," Agricultural Systems, Elsevier, vol. 131(C), pages 45-55.
    2. Asrat, Sinafikeh & Yesuf, Mahmud & Carlsson, Fredrik & Wale, Edilegnaw, 2010. "Farmers' preferences for crop variety traits: Lessons for on-farm conservation and technology adoption," Ecological Economics, Elsevier, vol. 69(12), pages 2394-2401, October.
    3. Paris, T. & Manzanilla, D. & Tatlonghari, G. & Labios, Romeo V. & Cueno, A. & Villanueva, D. (ed.), 2011. "Guide to participatory varietal selection for submergence-tolerant rice," IRRI Books, International Rice Research Institute (IRRI), number 164421.
    4. Bashiru Mansaray & Shaosheng Jin & Godwin S. Agbemavor Horlu, 2019. "Do Land Ownership and Agro-Ecological Location of Farmland Influence Adoption of Improved Rice Varieties? Evidence from Sierra Leone," Agriculture, MDPI, vol. 9(12), pages 1-20, December.
    5. Vina Eka Aristya & Y. Andi Trisyono & Jangkung Handoyo Mulyo & Taryono Taryono, 2021. "Participatory Varietal Selection for Promising Rice Lines," Sustainability, MDPI, vol. 13(12), pages 1-18, June.
    6. Rio Maligalig & Matty Demont & Wendy J. Umberger & Alexandra Peralta, 2021. "Understanding Filipino Rice Farmer Preference Heterogeneity for Varietal Trait Improvements: A Latent Class Analysis," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(1), pages 134-157, February.
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    Keywords

    PVS; rice; gender; irrigation; rainfed; Burundi;
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