Multivariate genomic analysis and optimal contribution selection predicts high genetic gains in cooking time, iron, zinc and grain yield in common beans in East Africahttps://doi.org/10.7910/DVN/TSEZVGMukankusi, ClareHarvard Dataverse2022-01-062023-03-09T19:33:39ZPhenotypic 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 ACIARAgricultural Sciencesgenomicsoptimal contribution selectionAfricaCrops for nutrition and healthCommon Bean/PABRACGIAR Research Program on Grain Legumes and Dryland Cereals2022-01-06Cruz Arias, Paola Andrea2021-12-212015201820152018Experimental DataPhenomic DataGenomic Data<P><a rel="license" href="http://creativecommons.org/licenses/by/4.0/" target="_blank"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a><br /> These data and documents are licensed under a <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank"> Creative Commons Attribution 4.0 International license.</a> You may copy, distribute and transmit the data as long as you acknowledge the source through proper <a href="http://best-practices.dataverse.org/data-citation/" target="_blank">data citation</a>.</P>