Market Intelligence and Incentive-Based Trait Ranking for Plant Breeding: A Sweetpotato Pilot in Uganda

Crop breeding programs must accelerate crop improvement, spur widespread adoption of new varieties and increase variety turnover they are to meet the diverse needs of their clients. More comprehensive quantitative approaches are needed to better inform breeding programs about the preferred traits...

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Autores principales: Okello, J.J., Swanckaert, J., Martin Collado, Daniel, Santos, B., Yada, B., Mwanga, Robert O.M., Schurink, A., Quinn, Michael, Thiele, Graham, Heck, S., Byrne, T.J., Hareau, G., Campos, Hugo
Formato: Journal Article
Lenguaje:Inglés
Publicado: Frontiers Media 2022
Materias:
Acceso en línea:https://hdl.handle.net/10568/119329
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author Okello, J.J.
Swanckaert, J.
Martin Collado, Daniel
Santos, B.
Yada, B.
Mwanga, Robert O.M.
Schurink, A.
Quinn, Michael
Thiele, Graham
Heck, S.
Byrne, T.J.
Hareau, G.
Campos, Hugo
author_browse Byrne, T.J.
Campos, Hugo
Hareau, G.
Heck, S.
Martin Collado, Daniel
Mwanga, Robert O.M.
Okello, J.J.
Quinn, Michael
Santos, B.
Schurink, A.
Swanckaert, J.
Thiele, Graham
Yada, B.
author_facet Okello, J.J.
Swanckaert, J.
Martin Collado, Daniel
Santos, B.
Yada, B.
Mwanga, Robert O.M.
Schurink, A.
Quinn, Michael
Thiele, Graham
Heck, S.
Byrne, T.J.
Hareau, G.
Campos, Hugo
author_sort Okello, J.J.
collection Repository of Agricultural Research Outputs (CGSpace)
description Crop breeding programs must accelerate crop improvement, spur widespread adoption of new varieties and increase variety turnover they are to meet the diverse needs of their clients. More comprehensive quantitative approaches are needed to better inform breeding programs about the preferred traits among farmers and other actors. However, the ability of current breeding programs to meet the demands of their clients is limited by the lack of insights about value chain actor preference for individual or packages of traits. Ranking traits based on monetary incentives, rather than subjective values, represents a more comprehensive, consistent, and quantitative approach to inform breeding programs. We conducted a large pilot in Uganda to assess the implementation of a novel approach to trait ranking, using a uniquely large sample of diverse sweetpotato value chain actors. We found meaningful differences in trait ranking and heterogeneity among different actors using this approach. We also show our approach’s effectiveness at uncovering unmet demand for root quality traits and at characterizing the substantial trait demand heterogeneity among value chain players. Implementing this approach more broadly for sweetpotato and other crops would increase the effectiveness of breeding programs to improve food security in developing countries.
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spelling CGSpace1193292025-12-08T10:29:22Z Market Intelligence and Incentive-Based Trait Ranking for Plant Breeding: A Sweetpotato Pilot in Uganda Okello, J.J. Swanckaert, J. Martin Collado, Daniel Santos, B. Yada, B. Mwanga, Robert O.M. Schurink, A. Quinn, Michael Thiele, Graham Heck, S. Byrne, T.J. Hareau, G. Campos, Hugo crops breeding sweet potatoes uganda market intelligence plant breeding Crop breeding programs must accelerate crop improvement, spur widespread adoption of new varieties and increase variety turnover they are to meet the diverse needs of their clients. More comprehensive quantitative approaches are needed to better inform breeding programs about the preferred traits among farmers and other actors. However, the ability of current breeding programs to meet the demands of their clients is limited by the lack of insights about value chain actor preference for individual or packages of traits. Ranking traits based on monetary incentives, rather than subjective values, represents a more comprehensive, consistent, and quantitative approach to inform breeding programs. We conducted a large pilot in Uganda to assess the implementation of a novel approach to trait ranking, using a uniquely large sample of diverse sweetpotato value chain actors. We found meaningful differences in trait ranking and heterogeneity among different actors using this approach. We also show our approach’s effectiveness at uncovering unmet demand for root quality traits and at characterizing the substantial trait demand heterogeneity among value chain players. Implementing this approach more broadly for sweetpotato and other crops would increase the effectiveness of breeding programs to improve food security in developing countries. 2022-03-04 2022-04-18T17:23:10Z 2022-04-18T17:23:10Z Journal Article https://hdl.handle.net/10568/119329 en Open Access Frontiers Media Okello, J. J.; Swanckaert, J.; Martin-Collado, D.; Santos, B.; Yada, B.; Mwanga, R. O. M.; Schurink, A.; Quinn, M.; Thiele, G.; Heck, S.; Byrne, T. J.; Hareau, G. G.; Campos, H. 2022. Market Intelligence and Incentive-Based Trait Ranking for Plant Breeding: A Sweetpotato Pilot in Uganda. Frontiers in Plant Science, 13. ISSN 1664-462X. 11 p.
spellingShingle crops
breeding
sweet potatoes
uganda
market intelligence
plant breeding
Okello, J.J.
Swanckaert, J.
Martin Collado, Daniel
Santos, B.
Yada, B.
Mwanga, Robert O.M.
Schurink, A.
Quinn, Michael
Thiele, Graham
Heck, S.
Byrne, T.J.
Hareau, G.
Campos, Hugo
Market Intelligence and Incentive-Based Trait Ranking for Plant Breeding: A Sweetpotato Pilot in Uganda
title Market Intelligence and Incentive-Based Trait Ranking for Plant Breeding: A Sweetpotato Pilot in Uganda
title_full Market Intelligence and Incentive-Based Trait Ranking for Plant Breeding: A Sweetpotato Pilot in Uganda
title_fullStr Market Intelligence and Incentive-Based Trait Ranking for Plant Breeding: A Sweetpotato Pilot in Uganda
title_full_unstemmed Market Intelligence and Incentive-Based Trait Ranking for Plant Breeding: A Sweetpotato Pilot in Uganda
title_short Market Intelligence and Incentive-Based Trait Ranking for Plant Breeding: A Sweetpotato Pilot in Uganda
title_sort market intelligence and incentive based trait ranking for plant breeding a sweetpotato pilot in uganda
topic crops
breeding
sweet potatoes
uganda
market intelligence
plant breeding
url https://hdl.handle.net/10568/119329
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