<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"><identifier identifierType="DOI">10.7910/DVN/TSEZVG</identifier><creators><creator><creatorName nameType="Personal">Mukankusi, Clare</creatorName><givenName>Clare</givenName><familyName>Mukankusi</familyName><nameIdentifier SchemeURI="https://orcid.org/" nameIdentifierScheme="ORCID">0000-0001-7837-4545</nameIdentifier><affiliation>International Center for Tropical Agriculture - CIAT</affiliation></creator></creators><titles><title>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</title></titles><publisher>Harvard Dataverse</publisher><publicationYear>2022</publicationYear><subjects><subject>Agricultural Sciences</subject><subject schemeURI="http://aims.fao.org/aos/agrovoc/c_92382" subjectScheme="AGROVOC">genomics</subject><subject>optimal contribution selection</subject><subject subjectScheme="Research Region">Africa</subject><subject subjectScheme="Research Lever">Crops for nutrition and health</subject><subject subjectScheme="Research SubLever">Common Bean/PABRA</subject><subject subjectScheme="CGIAR Research Program">CGIAR Research Program on Grain Legumes and Dryland Cereals</subject><subject schemeURI="http://aims.fao.org/aos/agrovoc/c_331560" subjectScheme="AGROVOC">crop improvement</subject></subjects><contributors><contributor contributorType="ContactPerson"><contributorName nameType="Organizational">Alliance Data Management</contributorName><affiliation>The Alliance of Bioversity International and CIAT</affiliation></contributor><contributor contributorType="Producer"><contributorName nameType="Organizational">The Alliance of Bioversity International and CIAT</contributorName></contributor></contributors><dates><date dateType="Issued">2021-10-28</date><date dateType="Submitted">2021-12-21</date><date dateType="Updated">2023-03-09</date><date dateType="Collected">2015/2018</date></dates><resourceType resourceTypeGeneral="Dataset">Experimental Data</resourceType><sizes><size>727637</size><size>393728</size><size>269824</size><size>467968</size><size>384512</size><size>33447</size><size>1307</size><size>1003520</size><size>591360</size><size>93623</size><size>594488</size><size>38410153</size></sizes><formats><format>text/tab-separated-values</format><format>application/vnd.ms-excel</format><format>application/vnd.ms-excel</format><format>application/vnd.ms-excel</format><format>application/vnd.ms-excel</format><format>text/tab-separated-values</format><format>text/tab-separated-values</format><format>application/vnd.ms-excel</format><format>application/vnd.ms-excel</format><format>text/tab-separated-values</format><format>text/tab-separated-values</format><format>text/tab-separated-values</format></formats><version>1.1</version><rightsList><rights rightsURI="info:eu-repo/semantics/openAccess"/><rights/></rightsList><descriptions><description descriptionType="Abstract">Phenotypic 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 ACIAR</description><description descriptionType="Other">Methodology: Phenotypic data were obtained from 898 germplasm entries of bush and climbing types of common bean evaluated in 33 field trials of common bean grown in different years (2015 to 2018) and different locations in East Africa.  The locations were Kawanda (0° 25’ N, 32° 31’ E, elevation 1190 m above sea level) and Kachwekano (1° 15′ S, 29° 57′ E, elevation 2200 m above sea level) in Uganda, and Kagera (2° 08' S, 33° 26' E, elevation 1320 m above sea level) in Tanzania. From the 33 field trials, GY (kg ha-1) was available from 32 trials, with laboratory evaluation of Fe and Zn (mg kg-1) from 29 trials and CKT (min) from 14 trials. The genotypic data include two panels: Panel 1 with 94 genotypes was a 770 SNP array (Raatz et al., 2019); Panel 2 was more than 20,000 SNPs with 298 genotypes based on Diversity Array Technology analysed by the Integrated Genotyping Service and Support platform (IGSS), a genotyping service facility based in Nairobi, Kenya (as used by Nkhata et al. 2020).</description></descriptions><geoLocations/></resource>