Genomic selection for boar taint and carcass traits in a commercial pig line

• Ano de defesa: 2012
• Autor(a) principal: Campos, Carolina Filardi de
• Orientador(a): Guimarães, Simone Eliza Facioni
• Banca de defesa: Gasparino, Eliane
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Viçosa
• Programa de Pós-Graduação: Mestrado em Zootecnia
• Departamento: Genética e Melhoramento de Animais Domésticos; Nutrição e Alimentação Animal; Pastagens e Forragicul
• País: BR
• Palavras-chave em Português: Seleção genômica ampla; Produção de suínos; Marcadores moleculares; SNPs
• Palavras-chave em Inglês: Selection genome; Production of pigs; Molecular markers, SNPs
• Área do conhecimento CNPq: CNPQ::CIENCIAS AGRARIAS::ZOOTECNIA::GENETICA E MELHORAMENTO DOS ANIMAIS DOMESTICOS
• Link de acesso: http://locus.ufv.br/handle/123456789/5750

From the beginning of the century, advances in genotyping enabled the development of new classes of markers, among which stand out single nucleotide polymorphisms (SNPs). Due to the availability of these markers it has been proposed genomic selection, consisting of simultaneous analysis of large number of markers distributed throughout the genome; its success depends on the method used for prediction of genomic breeding values. The objective of this study was to compare the methods RR-BLUP and Bayesian LASSO to calculate estimated genomic breeding values (GEBVs) and also to determine which method provides more accurate results for genomic selection in pigs. A total of 622 boarswere genotyped for 2,500 SNPs, and phenotyped for the following traits: concentration of androstenone, concentration of skatole, backfat thickness and loin depth. The R software packages rrBLUP and BLR were used respectively for the implementation of the RR-BLUP method and Bayesian LASSO method. Genetic correlations between the traits were calculated by the correlation between the vectors of GEBVs. The Bayesian LASSO method reached higher accuracy values in three traits: concentration of androstenone (0.65), concentration of skatole (0.58) and loin depth (0.33), and RR-BLUP was more accurate (0.61) for backfat thickness. Genetic correlations calculated, show that exists a small genetic correlation (0.03) between backfat thickness and loin depth. Between the concentrations of androstenone and skatole also exists a genetic correlation (0.24)that is consistent with results from other studies. Thus, concerning to the estimates of effects of markers, for all traits the found peaks were in regions where are reported QTLs inPIGQTLdatabase and other studies.