Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1047516
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dc.contributor.authorTEIXEIRA, F. R. F.pt_BR
dc.contributor.authorNASCIMENTO, M.pt_BR
dc.contributor.authorNASCIMENTO, A. C. C.pt_BR
dc.contributor.authorSILVA, F. F. ept_BR
dc.contributor.authorCRUZ, C. D.pt_BR
dc.contributor.authorAZEVEDO, C. F.pt_BR
dc.contributor.authorPAIXÃO, D. M.pt_BR
dc.contributor.authorBARROSO, L. M. A.pt_BR
dc.contributor.authorVERARDO, L. L.pt_BR
dc.contributor.authorRESENDE, M. D. V. dept_BR
dc.contributor.authorGUIMARÃES, S. E. F.pt_BR
dc.contributor.authorLOPES, P. S.pt_BR
dc.date.accessioned2016-06-22T11:21:30Z-
dc.date.available2016-06-22T11:21:30Z-
dc.date.created2016-06-21pt_BR
dc.date.issued2016pt_BR
dc.identifier.citationGenetics and Molecular Research, v. 15, n. 2, 2016. 10 p.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1047516pt_BR
dc.descriptionThe aim of the present study was to propose and evaluate the use of factor analysis (FA) in obtaining latent variables (factors) that represent a set of pig traits simultaneously, for use in genome-wide selection (GWS) studies. We used crosses between outbred F2 populations of Brazilian Piau X commercial pigs. Data were obtained on 345 F2 pigs, genotyped for 237 SNPs, with 41 traits. FA allowed us to obtain four biologically interpretable factors: ?weight?, ?fat?, ?loin?, and ?performance?. These factors were used as dependent variables in multiple regression models of genomic selection (Bayes A, Bayes B, RR-BLUP, and Bayesian LASSO). The use of FA is presented as an interesting alternative to select individuals for multiple variables simultaneously in GWS studies; accuracy measurements of the factors were similar to those obtained when the original traits were considered individually. The similarities between the top 10% of individuals selected by the factor, and those selected by the individual traits, were also satisfactory. Moreover, the estimated markers effects for the traits were similar to those found for the relevant factor.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectGenome enabled predictionpt_BR
dc.subjectSNP effectspt_BR
dc.subjectAnálise multivariadapt_BR
dc.titleFactor analysis applied to genome prediction for high-dimensional phenotypes in pigs.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2016-06-22T11:21:30Zpt_BR
dc.subject.thesagroMelhoramento genético animalpt_BR
dc.subject.thesagroEstatísticapt_BR
dc.subject.thesagroSeleção genéticapt_BR
dc.subject.nalthesaurusAnimal breedingpt_BR
dc.subject.nalthesaurusMultivariate analysispt_BR
riaa.ainfo.id1047516pt_BR
riaa.ainfo.lastupdate2016-06-21pt_BR
dc.identifier.doihttp://dx.doi.org/10.4238/gmr.15028231pt_BR
dc.contributor.institutionF. R. F. Teixeira, UFV; M. Nascimento, UFV; A. C. C. Nascimento, UFV; F. F. e Silva, UFV; C. D. Cruz, UFV; C. F. Azevedo, UFV; D. M. Paixão, UFV; L. M. A. Barroso, UFV; L. L. Verardo, UFV; MARCOS DEON VILELA DE RESENDE, CNPF; S. E. F. Guimarães, UFV; P. S. Lopes, UFV.pt_BR
Aparece nas coleções:Artigo em periódico indexado (CNPF)

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