Genomics-driven breeding for local adaptation of durum wheat is enhanced by farmers’ traditional knowledge
Gesesse, Cherinet Alem; Nigir, Bogale; de Sousa, Kauê; Dell’Acqua, Matteo; Gianfranceschi, Luca; Gallo, Guido Roberto; Poland, Jesse; Kidane, Yosef Gebrehawaryat; Desta, Ermias Abate; Fadda, Carlo; Pe, Mario Enrico
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2023Metadata
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Proceedings of the National Academy of Sciences of the United States of America 2023 ;Volum 120.(14) s. 1-10 10.1073/pnas.2205774119Abstract
Smallholder farming systems support the livelihoods of estimated two billion people on the planet. They are often characterized by challenging environments critically exposed to the climate crisis, with limited access to inputs including improved seed technology. To achieve the sustainable intesification of smallholder farming systems, crop breeding needs to tailor varietal development to local farmer needs. Here, we devise a method to integrate wheat genomics with participatory varietal selection that allows to capture farmers’ traditional knowledge in a fully quantitative framework and inform breeding decisions. Our work demonstrates that cultural and natural agrobiodiversity can be leveraged together to increase the effectiveness of genomics-driven breeding toward varietal development for smallholder farming systems.
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This open access article is distributed under https://creativecommons.org/licenses/by/4.0/