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dc.contributor.authorMukankusi, Clareen_US
dc.date.accessioned2022-03-22T09:51:19Zen_US
dc.date.available2022-03-22T09:51:19Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/118434en_US
dc.titleMultivariate genomic analysis and optimal contribution selection predicts high genetic gains in cooking time, iron, zinc and grain yield in common beans in East Africaen_US
cg.authorship.typesCGIAR single centreen_US
dcterms.abstractPhenotypic and Genotypic data based on 358 genotypes used to estimate genomic estimated breeding values (GEBV’s) for cooking time (CKT) Seed iron content (SeedFe), Seed Zin content (SeedZn) and Grain yield (GY). The data was used to select parents for the Rapid bean cooking project (RCBP) supported by the ACIARen_US
dcterms.accessRightsOpen Accessen_US
dcterms.audienceScientistsen_US
dcterms.bibliographicCitationMukankusi, C. (2022) "Multivariate genomic analysis and optimal contribution selection predicts high genetic gains in cooking time, iron, zinc and grain yield in common beans in East Africa", https://doi.org/10.7910/DVN/TSEZVG, Harvard Dataverse, V1, UNF:6:XGZWlNTH5nd5eCPjcbvwAw== [fileUNF]en_US
dcterms.issued2022-01-06en_US
dcterms.languageenen_US
dcterms.licenseCC-BY-4.0en_US
dcterms.subjectgenomicsen_US
dcterms.subjectbreeding valueen_US
dcterms.subjectcooking methodsen_US
dcterms.subjectgenómicaen_US
dcterms.subjectvalor genéticoen_US
dcterms.typeDataseten_US
cg.contributor.affiliationInternational Center for Tropical Agricultureen_US
cg.identifier.doihttps://doi.org/10.7910/DVN/TSEZVGen_US
cg.identifier.dataurlhttps://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/TSEZVGen_US
cg.coverage.regionEastern Africaen_US
cg.contributor.crpGrain Legumes and Dryland Cerealsen_US
cg.subject.alliancebiovciatBEANSen_US
cg.creator.identifierClare Mukankusi: 0000-0001-7837-4545en_US


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