Genetic architecture and genomic prediction of cooking time in common bean (Phaseolus vulgaris L.)

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cg.authorship.typesCGIAR single centreen
cg.contributor.affiliationInternational Center for Tropical Agricultureen
cg.contributor.affiliationUniversity of Hohenheimen
cg.contributor.affiliationUniversidad Nacional de Colombiaen
cg.contributor.affiliationInstituto Tecnológico de Durangoen
cg.contributor.affiliationTexas A&M Universityen
cg.contributor.donorBill & Melinda Gates Foundationen
cg.creator.identifierSantiago Diaz: 0000-0003-4278-0001
cg.creator.identifierDaniel Ariza-Suarez: 0000-0002-1871-3514
cg.creator.identifierbodo raatz: 0000-0003-0556-0691
cg.identifier.doihttps://doi.org/10.7910/dvn/b3ylrfen
cg.link.citationDiaz, Santiago, Daniel Ariza-Suarez, Paulo Izquierdo, Juan David Lobaton, Juan Fernando De La Hoz, Fernando Acevedo, Jorge Duitama, et al. 2020. “Genetic Mapping for Agronomic Traits in a MAGIC Population of Common Bean (Phaseolus Vulgaris L.) under Drought Conditions.” BMC Genomics In press.; Keller, Beat, Ariza-Suarez D, de la Hoz J, Aparicio JS, Portilla-Benavides AE, Buendia HF, Mayor VM, Struder B and Raatz B. 2020. "Genomic Prediction of Agronomic Traits in Common Bean (Phaseolus vulgaris L.) Under Environmental Stress." Front. Plant Sci. 11:1001 https://doi.org/10.3389/fpls2020.01001en
cg.subject.alliancebiovciatAGRICULTUREen
dc.contributor.authorDíaz, Santiagoen
dc.contributor.authorAriza-Suárez, Danielen
dc.contributor.authorRamdeen, Raisaen
dc.contributor.authorAparicio Arce, Johan Stevenen
dc.contributor.authorArunachalam, Nirmalaen
dc.contributor.authorHernández Lira, Juan Carlosen
dc.contributor.authorDiaz, Harolden
dc.contributor.authorRuíz Guzman, Henry Alonsoen
dc.contributor.authorPiepho, Hans-Peteren
dc.contributor.authorRaatz, Bodoen
dc.date.accessioned2020-11-24T16:34:53Zen
dc.date.available2020-11-24T16:34:53Zen
dc.identifier.urihttps://hdl.handle.net/10568/110281
dc.titleGenetic architecture and genomic prediction of cooking time in common bean (Phaseolus vulgaris L.)en
dcterms.abstractThese datasets contain phenotypic and genotypic data of a MAGIC population, DOR364 x G19833 biparental population, VEF panel and MIP panel. The main goal for these populations is to be used for genetic analysis and applications in breeding and breeding tool development, as well as information for basic research questions aiming to uncover the genetic basis of seed quality traits. The raw phenotypic data come from trials carried out in Palmira (Colombia). The trials were laid out in the field with an alpha-lattice experimental design in 2011, 2013, 2017 and 2019. Three trails were assessed: Cooking time (CKT), Water absorption capacity (WAC) and seed weight (SdW). The agronomic performance of the population was modeled using linear mixed models. From these models, best linear unbiased predictors were obtained (BLUPs). The genotypic datasets include a variant call format (VCF) file from MAGIC population, VEF panel and MIP panel.en
dcterms.accessRightsOpen Access
dcterms.bibliographicCitationDiaz, S.; Ariza-Suarez, D.; Ramdeen, R.; Aparicio Arce, J.S.; Arunachalam, N.; Hernandez Lira, J.C.; Diaz, H.; Ruiz Guzman, H.A.; Piepho, H.P.; Raatz, B., (2020) Genetic architecture and genomic prediction of cooking time in common bean (Phaseolus vulgaris L.). https://doi.org/10.7910/DVN/B3YLRF, Harvard Dataverse, V1, UNF:6:Zhk8LSztbd3+OfcV1gnNyQ== [fileUNF]en
dcterms.issued2020-11
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherInternational Center for Tropical Agricultureen
dcterms.relationhttps://doi.org/10.7910/DVN/JR4X4Cen
dcterms.relationhttps://doi.org/10.7910/DVN/XCD67Uen
dcterms.subjectexperimental dataen
dcterms.subjectdatos experimentalesen
dcterms.subjectquantitative trait locien
dcterms.subjectloci de rasgos cuantitativosen
dcterms.subjectgenetic controlen
dcterms.subjectcontrol genéticoen
dcterms.typeDataset

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