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Farmers' choice among recently developed hybrid banana varieties in Uganda: A multinomial logit analysis

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  • K. Akankwasa
  • G.F. Ortmann
  • E. Wale
  • W.K. Tushemereirwe

Abstract

This paper analyses the effect of farmer characteristics, variety attributes and agro-ecological conditions on farmers' banana variety choice decisions in Uganda. A Multinomial Logit (MNL) model was used to estimate the determinants of variety choice. The results show that M9 was the most preferred hybrid variety, followed by M2 and M14. However, many of the respondents (39.4%) chose Mbwazirume, a local variety, as their most preferred variety. Good taste, large bunch size, soft food and good flavour were the most desirable attributes, while longer maturity period was a notable undesirable attribute. Results from the MNL analysis suggest that small land size, taste and regional location were negatively associated with variety choice, while perceptions that hybrid bananas could reduce food insecurity and tolerance to pests and diseases were positively associated with probabilities of variety choice. Probabilities of choosing hybrids for food security increase in favour of M2 (by 6.13%) and M9 (27.60%), and decrease by 23.05% for M2, 6.89% for M14 and 9.36% for M9 due to taste relative to Mbwazirume. Farmers' involvement in varietal improvement and development programmes is vital for meeting their preferences. Future breeding efforts should consider attributes such as bunch size, good taste, soft food and agronomic characteristics. Farmers with large land sizes should be targeted for on-farm promotional activities to increase the potential adoption and impact of the hybrids. After the hybrids are popularized and used by farmers, there will be a need for an impact study to evaluate their acceptability in terms of household food security and income.

Suggested Citation

  • K. Akankwasa & G.F. Ortmann & E. Wale & W.K. Tushemereirwe, 2013. "Farmers' choice among recently developed hybrid banana varieties in Uganda: A multinomial logit analysis," Agrekon, Taylor & Francis Journals, vol. 52(2), pages 25-51, June.
    • Handle: RePEc:taf:ragrxx:v:52:y:2013:i:2:p:25-51
    DOI: 10.1080/03031853.2013.798063
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    References listed on IDEAS

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    1. Doss, Cheryl R., 2003. "Understanding Farm-Level Technology Adoption: Lessons Learned From Cimmyt'S Micro Surveys In Eastern Africa," Economics Working Papers 46552, CIMMYT: International Maize and Wheat Improvement Center.
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    3. Smale, Melinda & Tushemereirwe, Wilbeforce K., 2007. "An economic assessment of banana genetic improvement and innovation in the Lake Victoria Region of Uganda and Tanzania:," Research reports 155, International Food Policy Research Institute (IFPRI).
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    2. Moureen Nansamba & Julia Sibiya & Robooni Tumuhimbise & Walter Ocimati & Enoch Kikulwe & Deborah Karamura & Eldad Karamura, 2022. "Assessing drought effects on banana production and on-farm coping strategies by farmers — a study in the cattle corridor of Uganda," Climatic Change, Springer, vol. 173(3), pages 1-20, August.
    3. Jajati Keshari Parida & Shiba Shankar Pattayat & Sher Verick, 2023. "Why is the size of discouraged labour force increasing in India?," Economic Change and Restructuring, Springer, vol. 56(5), pages 3601-3630, October.
    4. Losira Nasirumbi Sanya & Reuben Tendo Ssali & Mary Gorreth Namuddu & Miriam Kyotalimye & Pricilla Marimo & Sarah Mayanja, 2023. "Why Gender Matters in Breeding: Lessons from Cooking Bananas in Uganda," Sustainability, MDPI, vol. 15(9), pages 1-20, April.

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