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Farmers’ selection criteria for sweet potato varieties in Benin: An application of Best-Worst Scaling

Published online by Cambridge University Press:  15 December 2023

Idrissou Ahoudou Open the ORCID record for Idrissou Ahoudou [Opens in a new window] ,
Dêêdi E. O. Sogbohossou Open the ORCID record for Dêêdi E. O. Sogbohossou [Opens in a new window] ,
Nicodeme V. Fassinou Hotegni Open the ORCID record for Nicodeme V. Fassinou Hotegni [Opens in a new window] ,
Charlotte O. A. Adjé Open the ORCID record for Charlotte O. A. Adjé [Opens in a new window] ,
Françoise Assogba Komlan ,
Ismail Moumouni-Moussa Open the ORCID record for Ismail Moumouni-Moussa [Opens in a new window]  and
Enoch G. Achigan-Dako Open the ORCID record for Enoch G. Achigan-Dako [Opens in a new window]
Idrissou Ahoudou
Affiliation:
Genetics, Biotechnology and Seed Science Unit (GBioS), Laboratory of Crop Production, Physiology and Plant Breeding, Faculty of Agronomic Sciences, University of Abomey-Calavi, Tri Postal Cotonou 01 BP 526, Republic of Benin
Dêêdi E. O. Sogbohossou
Affiliation:
Genetics, Biotechnology and Seed Science Unit (GBioS), Laboratory of Crop Production, Physiology and Plant Breeding, Faculty of Agronomic Sciences, University of Abomey-Calavi, Tri Postal Cotonou 01 BP 526, Republic of Benin
Nicodeme V. Fassinou Hotegni
Affiliation:
Genetics, Biotechnology and Seed Science Unit (GBioS), Laboratory of Crop Production, Physiology and Plant Breeding, Faculty of Agronomic Sciences, University of Abomey-Calavi, Tri Postal Cotonou 01 BP 526, Republic of Benin
Charlotte O. A. Adjé
Affiliation:
Genetics, Biotechnology and Seed Science Unit (GBioS), Laboratory of Crop Production, Physiology and Plant Breeding, Faculty of Agronomic Sciences, University of Abomey-Calavi, Tri Postal Cotonou 01 BP 526, Republic of Benin
Françoise Assogba Komlan
Affiliation:
Vegetable Research Program, National Institute of Agricultural Research of Benin (INRAB), Cotonou 01 BP 884, Republic of Benin
Ismail Moumouni-Moussa
Affiliation:
Laboratory of Research on Innovation for Agricultural Development (LRIDA), University of Parakou (UP), Republic of Benin
Enoch G. Achigan-Dako*
Affiliation:
Genetics, Biotechnology and Seed Science Unit (GBioS), Laboratory of Crop Production, Physiology and Plant Breeding, Faculty of Agronomic Sciences, University of Abomey-Calavi, Tri Postal Cotonou 01 BP 526, Republic of Benin
*
Corresponding author: Enoch G. Achigan-Dako; Email: e.adako@gmail.com
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Summary

Integrating farmers’ preferences into the breeding and dissemination of new genotypes is a effective approach to enhance their successful adoption by farmers. In the case of sweet potato, a staple crop in many parts of West Africa, there is a need for more research on the selection criteria used by farmers when choosing which varieties to grow. This study aims to highlight farmers’ selection criteria for sweet potato varieties in the main production areas in Benin. A total of 480 farmers from the top three sweet potato production areas were surveyed. The relative importance of various traits for sweet potato farmers was evaluated using best-worst scaling methods. Latent class analysis was applied to find groups of farmers with similar preferences. Best-Worst Scaling analysis revealed that high root yield, root size, marketability, and early maturing were the most important variety selection criteria. Latent class analysis revealed three farmers’ groups referred to as ‘Yield potential’, ‘Market value’, and ‘Plant resilience’ classes. ‘Yield potential’ farmers were more likely to be from Atlantique and Alibori departments; they significantly committed more acreage to sweet potato production. The ‘Market value’ farmers highlighted the variety of root size and commercial value as the main selection criteria and consisted of farmers with primary education levels from the Ouémé department. ‘Plant resilience’ refers to a group of Alibori farmers who prioritize environmental issues and primarily grow sweet potatoes for self-consumption. Our findings shed light on farmers’ preferences and suggested that heterogeneity in sweet potato selection criteria was highly influenced by various socio-economic factors and location.

Keywords

Best-Worst Scalingimproved cultivarslatent class analysissweet potatotechnology adoption
Type
Research Article
Information
Experimental Agriculture , Volume 59 , 2023 , e25
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Copyright
© The Author(s), 2023. Published by Cambridge University Press

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