Genomics-driven breeding for local adaptation of durum wheat is enhanced by farmers’ traditional knowledge

In the smallholder, low-input farming systems widespread in sub-Saharan Africa, farmers select and propagate crop varieties based on their traditional knowledge and experience. A data-driven integration of their knowledge into breeding pipelines may support the sustainable intensification of local f...

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Main Authors: Gesesse, Cherinet Alem, Nigir, Bogale, Sousa, Kauê de, Gianfranceschi, Luca, Gallo, Guido Roberto, Poland, Jesse A., Gebrehawaryat, Yosef Kidane, Desta, Ermias Abate, Fadda, Carlo, Pè, Mario Enrico, Dell’Acqua, Matteo
Format: Journal Article
Language:Inglés
Published: National Academy of Sciences 2023
Subjects:
Online Access:https://hdl.handle.net/10568/129799
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author Gesesse, Cherinet Alem
Nigir, Bogale
Sousa, Kauê de
Gianfranceschi, Luca
Gallo, Guido Roberto
Poland, Jesse A.
Gebrehawaryat, Yosef Kidane
Desta, Ermias Abate
Fadda, Carlo
Pè, Mario Enrico
Dell’Acqua, Matteo
author_browse Dell’Acqua, Matteo
Desta, Ermias Abate
Fadda, Carlo
Gallo, Guido Roberto
Gebrehawaryat, Yosef Kidane
Gesesse, Cherinet Alem
Gianfranceschi, Luca
Nigir, Bogale
Poland, Jesse A.
Pè, Mario Enrico
Sousa, Kauê de
author_facet Gesesse, Cherinet Alem
Nigir, Bogale
Sousa, Kauê de
Gianfranceschi, Luca
Gallo, Guido Roberto
Poland, Jesse A.
Gebrehawaryat, Yosef Kidane
Desta, Ermias Abate
Fadda, Carlo
Pè, Mario Enrico
Dell’Acqua, Matteo
author_sort Gesesse, Cherinet Alem
collection Repository of Agricultural Research Outputs (CGSpace)
description In the smallholder, low-input farming systems widespread in sub-Saharan Africa, farmers select and propagate crop varieties based on their traditional knowledge and experience. A data-driven integration of their knowledge into breeding pipelines may support the sustainable intensification of local farming. Here, we combine genomics with participatory research to tap into traditional knowledge in smallholder farming systems, using durum wheat (Triticum durum Desf.) in Ethiopia as a case study. We developed and genotyped a large multiparental population, called the Ethiopian NAM (EtNAM), that recombines an elite international breeding line with Ethiopian traditional varieties maintained by local farmers. A total of 1,200 EtNAM lines were evaluated for agronomic performance and farmers’ appreciation in three locations in Ethiopia, finding that women and men farmers could skillfully identify the worth of wheat genotypes and their potential for local adaptation. We then trained a genomic selection (GS) model using farmer appreciation scores and found that its prediction accuracy over grain yield (GY) was higher than that of a benchmark GS model trained on GY. Finally, we used forward genetics approaches to identify marker–trait associations for agronomic traits and farmer appreciation scores. We produced genetic maps for individual EtNAM families and used them to support the characterization of genomic loci of breeding relevance with pleiotropic effects on phenology, yield, and farmer preference. Our data show that farmers’ traditional knowledge can be integrated in genomics-driven breeding to support the selection of best allelic combinations for local adaptation.
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publishDate 2023
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spelling CGSpace1297992025-12-08T10:29:22Z Genomics-driven breeding for local adaptation of durum wheat is enhanced by farmers’ traditional knowledge Gesesse, Cherinet Alem Nigir, Bogale Sousa, Kauê de Gianfranceschi, Luca Gallo, Guido Roberto Poland, Jesse A. Gebrehawaryat, Yosef Kidane Desta, Ermias Abate Fadda, Carlo Pè, Mario Enrico Dell’Acqua, Matteo plant breeding marker-assisted selection genomic selection smallholders In the smallholder, low-input farming systems widespread in sub-Saharan Africa, farmers select and propagate crop varieties based on their traditional knowledge and experience. A data-driven integration of their knowledge into breeding pipelines may support the sustainable intensification of local farming. Here, we combine genomics with participatory research to tap into traditional knowledge in smallholder farming systems, using durum wheat (Triticum durum Desf.) in Ethiopia as a case study. We developed and genotyped a large multiparental population, called the Ethiopian NAM (EtNAM), that recombines an elite international breeding line with Ethiopian traditional varieties maintained by local farmers. A total of 1,200 EtNAM lines were evaluated for agronomic performance and farmers’ appreciation in three locations in Ethiopia, finding that women and men farmers could skillfully identify the worth of wheat genotypes and their potential for local adaptation. We then trained a genomic selection (GS) model using farmer appreciation scores and found that its prediction accuracy over grain yield (GY) was higher than that of a benchmark GS model trained on GY. Finally, we used forward genetics approaches to identify marker–trait associations for agronomic traits and farmer appreciation scores. We produced genetic maps for individual EtNAM families and used them to support the characterization of genomic loci of breeding relevance with pleiotropic effects on phenology, yield, and farmer preference. Our data show that farmers’ traditional knowledge can be integrated in genomics-driven breeding to support the selection of best allelic combinations for local adaptation. 2023-03-27 2023-03-29T14:50:46Z 2023-03-29T14:50:46Z Journal Article https://hdl.handle.net/10568/129799 en Open Access application/pdf National Academy of Sciences Gesesse, C.A.; Nigir, B.; de Sousa, K.; Gianfranceschi, L.; Gallo, G.R.; Poland, J.; Gebrehawaryat, Y.K.; Desta, E.A.; Fadda, C.; Pè, M.E.; Dell’Acqua, M. (2023) Genomics-driven breeding for local adaptation of durum wheat is enhanced by farmers’ traditional knowledge. PNAS 120(14): e2205774119. 10 p. ISSN: 0027-8424
spellingShingle plant breeding
marker-assisted selection
genomic selection
smallholders
Gesesse, Cherinet Alem
Nigir, Bogale
Sousa, Kauê de
Gianfranceschi, Luca
Gallo, Guido Roberto
Poland, Jesse A.
Gebrehawaryat, Yosef Kidane
Desta, Ermias Abate
Fadda, Carlo
Pè, Mario Enrico
Dell’Acqua, Matteo
Genomics-driven breeding for local adaptation of durum wheat is enhanced by farmers’ traditional knowledge
title Genomics-driven breeding for local adaptation of durum wheat is enhanced by farmers’ traditional knowledge
title_full Genomics-driven breeding for local adaptation of durum wheat is enhanced by farmers’ traditional knowledge
title_fullStr Genomics-driven breeding for local adaptation of durum wheat is enhanced by farmers’ traditional knowledge
title_full_unstemmed Genomics-driven breeding for local adaptation of durum wheat is enhanced by farmers’ traditional knowledge
title_short Genomics-driven breeding for local adaptation of durum wheat is enhanced by farmers’ traditional knowledge
title_sort genomics driven breeding for local adaptation of durum wheat is enhanced by farmers traditional knowledge
topic plant breeding
marker-assisted selection
genomic selection
smallholders
url https://hdl.handle.net/10568/129799
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