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

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cg.authorship.typesCGIAR and advanced research institute
cg.contributor.affiliationScuola Superiore Sant'Anna
cg.contributor.affiliationAmhara Regional Agricultural Research Institute, Ethiopia
cg.contributor.affiliationBioversity International
cg.contributor.affiliationInland Norway University of Applied Sciences
cg.contributor.affiliationUniversity of Milan
cg.contributor.affiliationKing Abdullah University of Science and Technology
cg.contributor.donorCGIAR Trust Fund
cg.contributor.initiativeAccelerated Breeding
cg.coverage.countryEthiopia
cg.coverage.iso3166-alpha2ET
cg.coverage.regionAfrica
cg.coverage.regionEastern Africa
cg.coverage.regionSub-Saharan Africa
cg.creator.identifierKauê de Sousa: 0000-0002-7571-7845
cg.creator.identifierYosef Gebrehawaryat Kidane: 0000-0002-6876-7158
cg.creator.identifierCarlo Fadda: 0000-0003-3075-6207
cg.creator.identifierJesse Poland: 0000-0002-7856-1399
cg.identifier.doihttps://doi.org/10.1073/pnas.220577411
cg.isijournalISI Journal
cg.issn0027-8424
cg.issue14
cg.journalProceedings of the National Academy of Sciences of the United States of America
cg.reviewStatusPeer Review
cg.subject.actionAreaGenetic Innovation
cg.subject.alliancebiovciatPLANT BREEDING
cg.subject.impactAreaNutrition, health and food security
cg.subject.sdgSDG 2 - Zero hunger
cg.volume120
dc.contributor.authorGesesse, Cherinet Alem
dc.contributor.authorNigir, Bogale
dc.contributor.authorSousa, Kauê de
dc.contributor.authorGianfranceschi, Luca
dc.contributor.authorGallo, Guido Roberto
dc.contributor.authorPoland, Jesse A.
dc.contributor.authorGebrehawaryat, Yosef Kidane
dc.contributor.authorDesta, Ermias Abate
dc.contributor.authorFadda, Carlo
dc.contributor.authorPè, Mario Enrico
dc.contributor.authorDell’Acqua, Matteo
dc.date.accessioned2023-03-29T14:50:46Zen
dc.date.available2023-03-29T14:50:46Zen
dc.identifier.urihttps://hdl.handle.net/10568/129799
dc.titleGenomics-driven breeding for local adaptation of durum wheat is enhanced by farmers’ traditional knowledgeen
dcterms.abstractIn 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.en
dcterms.accessRightsOpen Access
dcterms.audienceScientists
dcterms.bibliographicCitationGesesse, 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: 0027-8424en
dcterms.extent10 p.
dcterms.issued2023-03-27
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherNational Academy of Sciences
dcterms.subjectplant breedingen
dcterms.subjectmarker-assisted selectionen
dcterms.subjectgenomic selectionen
dcterms.subjectsmallholdersen
dcterms.typeJournal Article

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