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| Silva,Fabyano Fonseca e; Resende,Marcos Deon V. de; Rocha,Gilson Silvério; Duarte,Darlene Ana S.; Lopes,Paulo Sávio; Brustolini,Otávio J.B.; Thus,Sander; Viana,José Marcelo S.; Guimarães,Simone E.F.. |
| In the current post-genomic era, the genetic basis of pig growth can be understood by assessing SNP marker effects and genomic breeding values (GEBV) based on estimates of these growth curve parameters as phenotypes. Although various statistical methods, such as random regression (RR-BLUP) and Bayesian LASSO (BL), have been applied to genomic selection (GS), none of these has yet been used in a growth curve approach. In this work, we compared the accuracies of RR-BLUP and BL using empirical weight-age data from an outbred F2 (Brazilian Piau X commercial) population. The phenotypes were determined by parameter estimates using a nonlinear logistic regression model and the halothane gene was considered as a marker for evaluating the assumptions of the GS... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Bayesian LASSO; Nonlinear regression; SNP effects. |
| Ano: 2013 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572013000400010 |
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