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dc.contributor.authorAZEVEDO, C. F.
dc.contributor.authorRESENDE, M. D. V. de
dc.contributor.authorSILVA, F. F. e
dc.contributor.authorNASCIMENTO, M.
dc.contributor.authorVIANA, J. M. S.
dc.contributor.authorVALENTE, M. S. F.
dc.date.accessioned2018-01-02T23:18:58Z-
dc.date.available2018-01-02T23:18:58Z-
dc.date.created2018-01-02
dc.date.issued2017
dc.identifier.citationCrop Breeding and Applied Biotechnology, Viçosa, v. 17, n. 4, p.350-358, Oct./Dec. 2017.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1084041-
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.language.isoengeng
dc.rightsopenAccesseng
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
dc.date.updated2018-01-02T23:18:58Zpt_BR
riaa.ainfo.id1084041
riaa.ainfo.lastupdate2018-01-02
dc.identifier.doi10.1590/1984- 70332017v17n4a53
dc.contributor.institutionCamila 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.
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