| Registro completo |
| Provedor de dados: |
PAB
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| País: |
Brazil
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| Título: |
Use of regularized quantile regression to predict the genetic merit of pigs for asymmetric carcass traits
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| Autores: |
Santos,Patricia Mendes dos
Nascimento,Ana Carolina Campana
Nascimento,Moysés
Silva,Fabyano Fonseca e
Azevedo,Camila Ferreira
Mota,Rodrigo Reis
Guimarães,Simone Eliza Facioni
Lopes,Paulo Sávio
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| Data: |
2018-09-01
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| Ano: |
2018
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| Palavras-chave: |
Sus scrofa
Blasso
Shrinkage
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| Resumo: |
Abstract: The objective of this work was to evaluate the use of regularized quantile regression (RQR) to predict the genetic merit of pigs for asymmetric carcass traits, compared with the Bayesian lasso (Blasso) method. The genetic data of the traits carcass yield, bacon thickness, and backfat thickness from a F2 population composed of 345 individuals, generated by crossing animals from the Piau breed with those of a commercial breed, were used. RQR was evaluated considering different quantiles (τ = 0.05 to 0.95). The RQR model used to estimate the genetic merit showed accuracies higher than or equal to those obtained by Blasso, for all studies traits. There was an increase of 6.7 and 20.0% in accuracy when the quantiles 0.15 and 0.45 were considered in the evaluation of carcass yield and bacon thickness, respectively. The obtained results are indicative that the regularized quantile regression presents higher accuracy than the Bayesian lasso method for the prediction of the genetic merit of pigs for asymmetric carcass variables.
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| Tipo: |
Info:eu-repo/semantics/article
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| Idioma: |
Inglês
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| Identificador: |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2018000901011
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| Editor: |
Embrapa Secretaria de Pesquisa e Desenvolvimento
Pesquisa Agropecuária Brasileira
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| Relação: |
10.1590/s0100-204x2018000900004
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| Formato: |
text/html
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| Fonte: |
Pesquisa Agropecuária Brasileira v.53 n.9 2018
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| Direitos: |
info:eu-repo/semantics/openAccess
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