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dc.contributor.authorEsuma, W.
dc.contributor.authorOzimati, A.
dc.contributor.authorKulakow, P.
dc.contributor.authorGore, M.A.
dc.contributor.authorWolfe, M.
dc.contributor.authorNuwamanya, E.
dc.contributor.authorEgesi, C.
dc.contributor.authorKawuki, R.S.
dc.date.accessioned2022-07-13T10:10:58Z
dc.date.available2022-07-13T10:10:58Z
dc.date.issued2021-09
dc.identifier.citationEsuma, W., Ozimati, A., Kulakow, P., Gore, M.A., Wolfe, M., Nuwamanya, E., ... & Kawuki, R.S. (2021). Effectiveness of genomic selection for improving provitamin A carotenoid content and associated traits in cassava. G3-Genes Genomes Genetics, 11(9), 1-10.
dc.identifier.issn2160-1836
dc.identifier.urihttps://hdl.handle.net/20.500.12478/7544
dc.description.abstractGlobal efforts are underway to develop cassava with enhanced levels of provitamin A carotenoids to sustainably meet increasing demands for food and nutrition where the crop is a major staple. Herein, we tested the effectiveness of genomic selection (GS) for rapid improvement of cassava for total carotenoids content and associated traits. We evaluated 632 clones from Uganda’s provitamin A cassava breeding pipeline and 648 West African introductions. At harvest, each clone was assessed for level of total carotenoids, dry matter content, and resistance to cassava brown streak disease (CBSD). All clones were genotyped with diversity array technology and imputed to a set of 23,431 single nucleotide polymorphic markers. We assessed predictive ability of four genomic prediction methods in scenarios of cross-validation, across population prediction, and inclusion of quantitative trait loci markers. Cross-validations produced the highest mean prediction ability for total carotenoids content (0.52) and the lowest for CBSD resistance (0.20), with G-BLUP outperforming other models tested. Across population, predictions showed low ability of Ugandan population to predict the performance of West African clones, with the highest predictive ability recorded for total carotenoids content (0.34) and the lowest for CBSD resistance (0.12) using G-BLUP. By incorporating chromosome 1 markers associated with carotenoids content as independent kernel in the G-BLUP model of a cross-validation scenario, prediction ability slightly improved from 0.52 to 0.58. These results reinforce ongoing efforts aimed at integrating GS into cassava breeding and demonstrate the utility of this tool for rapid genetic improvement.
dc.description.sponsorshipBill & Melinda Gates Foundation
dc.format.extent1-10
dc.language.isoen
dc.subjectBreeding
dc.subjectCarotenoids
dc.subjectGenetic Gain
dc.subjectCassava
dc.subjectManihot Esculenta
dc.titleEffectiveness of genomic selection for improving provitamin A carotenoid content and associated traits in cassava
dc.typeJournal Article
cg.contributor.crpRoots, Tubers and Bananas
cg.contributor.affiliationNational Crops Resources Research Institute, Uganda
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationCornell University
cg.coverage.regionAfrica
cg.coverage.regionWest Africa
cg.coverage.countryNigeria
cg.coverage.hubHeadquarters and Western Africa Hub
cg.researchthemeBiotech and Plant Breeding
cg.identifier.bibtexciteidESUMA:2021
cg.isijournalISI Journal
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectAgronomy
cg.iitasubjectCassava
cg.iitasubjectFood Security
cg.iitasubjectPlant Breeding
cg.iitasubjectPlant Production
cg.journalG3-Genes Genomes Genetics
cg.notesOpen Access Journal; Published online: 08 May 2021
cg.accessibilitystatusOpen Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCreative Commons Attribution 4.0 (CC BY 0.0)
cg.targetaudienceScientists
cg.identifier.doihttps://dx.doi.org/10.1093/g3journal/jkab160
cg.iitaauthor.identifierPeter Kulakow: 0000-0002-7574-2645
cg.iitaauthor.identifierChiedozie Egesi: 0000-0002-9063-2727
cg.futureupdate.requiredNo
cg.identifier.issue9
cg.identifier.volume11


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