Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1030362
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dc.contributor.authorAZEVEDO, C. F.
dc.contributor.authorNASCIMENTO, M.
dc.contributor.authorSILVA, F. F.
dc.contributor.authorRESENDE, M. D. V. de
dc.contributor.authorLOPES, P. S.
dc.contributor.authorGUIMARÃES, S. E. F.
dc.contributor.authorGLÓRIA, L. S.
dc.date.accessioned2018-01-03T23:17:59Z-
dc.date.available2018-01-03T23:17:59Z-
dc.date.created2015-12-02
dc.date.issued2015
dc.identifier.citationGenetics and Molecular Research, Ribeirão Preto, v. 14, n. 4, p. 12217-12227, 2015.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1030362-
dc.descriptionA significant contribution of molecular genetics is the direct use of DNA information to identify genetically superior individuals. With this approach, genome-wide selection (GWS) can be used for this purpose. GWS consists of analyzing a large number of single nucleotide polymorphism markers widely distributed in the genome; however, because the number of markers is much larger than the number of genotyped individuals, and such markers are highly correlated, special statistical methods are widely required. Among these methods, independent component regression, principal component regression, partial least squares, and partial principal components stand out. Thus, the aim of this study was to propose an application of the methods of dimensionality reduction to GWS of carcass traits in an F2 (Piau x commercial line) pig population. The results show similarities between the principal and the independent component methods and provided the most accurate genomic breeding estimates for most carcass traits in pigs.
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectQuadrados mínimos parciais
dc.subjectComponente de regressão independente
dc.subjectComponente principal de regressão
dc.subjectComponente principal parcial
dc.subjectPartial least squares
dc.subjectIndependent component regression
dc.subjectPrincipal component regression
dc.subjectPartial principal component
dc.titleComparison of dimensionality reduction methods to predict genomic breeding values for carcass traits in pigs.
dc.typeArtigo de periódico
dc.date.updated2018-01-03T23:17:59Zpt_BR
riaa.ainfo.id1030362
riaa.ainfo.lastupdate2018-01-03
dc.identifier.doihttp://dx.doi.org/10.4238/2015.October.9.10
dc.contributor.institutionC. F. AZEVEDO, Universidade Federal de Viçosa; M. NASCIMENTO, Universidade Federal de Viçosa; F. F. SILVA, Universidade Federal de Viçosa; MARCOS DEON VILELA DE RESENDE, CNPF; P. S. LOPES, Universidade Federal de Viçosa; S. E. F. GUIMARÃES, Universidade Federal de Viçosa; L. S. GLÓRIA, Universidade Federal de Viçosa.
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