Population structure correction for genomic selection through eigenvector covariates.

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dc.contributorCamila Ferreira Azevedo, UFV; MARCOS DEON VILELA DE RESENDE, CNPF; Fabyano Fonseca e Silva, UFV; Moysés Nascimento, UFV; José Marcelo Soriano Viana, UFV; Magno Sávio Ferreira Valente, UFV.
dc.creatorAZEVEDO, C. F.
dc.creatorRESENDE, M. D. V. de
dc.creatorSILVA, F. F. e
dc.creatorNASCIMENTO, M.
dc.creatorVIANA, J. M. S.
dc.creatorVALENTE, M. S. F.
dc.date2018-01-02T23:18:58Z
dc.date2018-01-02T23:18:58Z
dc.date2018-01-02
dc.date2017
dc.date2018-01-02T23:18:58Z
dc.date.accessioned2026-07-07T03:28:27Z
dc.descriptionWe proposed a population structure correction for genome-wide selection based on covariance analysis via eigenvector (EVG) decomposition. The agreement between the predicted and true breeding values was evaluated by independent cross-validation data sets. Other correction methods such as correction via principal components, best linear unbiased prediction, and deregressed phenotype were also evaluated. Based on different simulation scenarios, the proposed EVG out performed the other methods in the prediction of accuracy.
dc.identifierCrop Breeding and Applied Biotechnology, Viçosa, v. 17, n. 4, p.350-358, Oct./Dec. 2017.
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1084041
dc.identifier10.1590/1984- 70332017v17n4a53
dc.identifier.urihttp://hdl.handle.net/123456789/434660
dc.languageeng
dc.rightsopenAccess
dc.subjectMendelian segregation
dc.subjectDeregressed phenotype
dc.subjectShort-term genomic prediction
dc.subjectPrincipal component
dc.titlePopulation structure correction for genomic selection through eigenvector covariates.
dc.typeArtigo de periódico

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