Uni and multivariate partial least squares applied to genomic selection for carcass traits in pigs/Quadrados minimos parciais uni e multivariado aplicados na selecao genomica para caracteristicas de carcaca em suinos

The main contribution of molecular genetics is the direct use of DNA information to identify genetically superior individuals. Under this approach, genome-wide selection (GWS) can be used with this purpose. GWS consists in analyzing of a large number of SNP markers widely distributed in the genome,...

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Bibliographic Details
Published in:Ciência rural 2013-09, Vol.43 (9), p.1642
Main Authors: Azevedo, Camila Ferreira, Silva, Fabyano Fonseca e, de Rezende, Marcos Deon Vilela, Peternell, Luiz Alexandre, Guimaraes, Simone Eliza Facione, Lopes, Paulo Savio
Format: Article
Language:Spanish
Subjects:
Analysis
Chromosomes
Genomics
Single nucleotide polymorphisms
Swine
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Summary:The main contribution of molecular genetics is the direct use of DNA information to identify genetically superior individuals. Under this approach, genome-wide selection (GWS) can be used with this purpose. GWS consists in analyzing of a large number of SNP markers widely distributed in the genome, and due to the fact that the number of markers is much larger than the number of genotyped individuals and also to the fact that such markers are highly correlated special statistical methods, like Partial Least Squares (PLS), are widely required. Thus, the aim of this paper was to propose an application of Uni (UPLS) and Multivariate (MPLS) Partial Least Squares regression to GWS of carcass traits in an [F.sub.2] (Piau x commercial) pig population. The results showed that MPLS method provided most accurate genomic breeding values estimates than univariate method.
ISSN:0103-8478