Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1030362
Research center of Embrapa/Collection: Embrapa Florestas - Artigo em periódico indexado (ALICE)
Issue Date: 2015
Type of Material: Artigo em periódico indexado (ALICE)
Authors: AZEVEDO, C. F.
NASCIMENTO, M.
SILVA, F. F.
RESENDE, M. D. V. de
LOPES, P. S.
GUIMARÃES, S. E. F.
GLÓRIA, L. S.
Additional Information: C. 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.
Title: Comparison of dimensionality reduction methods to predict genomic breeding values for carcass traits in pigs.
Publisher: Genetics and Molecular Research, Ribeirão Preto, v. 14, n. 4, p. 12217-12227, 2015.
Language: en
Keywords: Quadrados mínimos parciais
Componente de regressão independente
Componente principal de regressão
Componente principal parcial
Partial least squares
Independent component regression
Principal component regression
Partial principal component
Description: A 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.
Year: 2015-12-02
Appears in Collections:Artigo em periódico indexado (CNPF)

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