Random regression models in the selection of meat‑type quails for egg production
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Pesquisa Agropecuária Brasileira (Online) |
Texto Completo: | https://seer.sct.embrapa.br/index.php/pab/article/view/14411 |
Resumo: | The objective of this work was to evaluate random regression models with different orders of Legendre polynomials, as to the best fit for egg production of meat‑type quails. UFV1 and UFV2 genetic groups of meat‑type quails, from different origins, of the genetic breeding program of the Universidade Federal de Viçosa, Brazil, were evaluated. Egg production was determined weekly for 1,294 quails, from their 6th to their 57th week of age, of which 644 were from the genetic group UFV1, and 650 from UFV2. The animal model was used in random regression by Wombat software, and, for modeling variable trajectories in time, the Legendre’s polynomial functions were applied. Comparisons were made by the Akaike’s information criterion, the Bayesian information criterion of Schwarz, the logarithm of the likelihood function, and the likelihood ratio test. The model with K = 3, for fixed effects, Ka = 4, for genetic effects, and Kc = 4, for the effect of environment provides the best fit, do not causes major changes in the variance components, and provides better estimates of heritability. |
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Random regression models in the selection of meat‑type quails for egg productionModelos de regressão aleatória na seleção de codornas de corte para produção de ovosCoturnix coturnix; heritability; Legendre’s polynomials; WombatCoturnix coturnix; herdabilidade; polinômios de Legendre; WombatThe objective of this work was to evaluate random regression models with different orders of Legendre polynomials, as to the best fit for egg production of meat‑type quails. UFV1 and UFV2 genetic groups of meat‑type quails, from different origins, of the genetic breeding program of the Universidade Federal de Viçosa, Brazil, were evaluated. Egg production was determined weekly for 1,294 quails, from their 6th to their 57th week of age, of which 644 were from the genetic group UFV1, and 650 from UFV2. The animal model was used in random regression by Wombat software, and, for modeling variable trajectories in time, the Legendre’s polynomial functions were applied. Comparisons were made by the Akaike’s information criterion, the Bayesian information criterion of Schwarz, the logarithm of the likelihood function, and the likelihood ratio test. The model with K = 3, for fixed effects, Ka = 4, for genetic effects, and Kc = 4, for the effect of environment provides the best fit, do not causes major changes in the variance components, and provides better estimates of heritability.O objetivo deste trabalho foi avaliar modelos de regressão aleatória com diferentes ordens de polinômios de Legendre, quanto ao melhor ajuste para a produção de ovos de codornas de corte. Foram avaliados os grupos genéticos UFV1 e UFV2 de codornas de corte, de origens distintas, do programa de melhoramento genético da Universidade Federal de Viçosa. Determinou-se a produção semanal de ovos de 1.294 matrizes, da 6ª até a 57ª semana de idade, das quais 644 do grupo genético UFV1 e 650 do UFV2. Utilizou-se o modelo animal em regressão aleatória pelo programa Wombat e, para modelar as trajetórias das características com o tempo, aplicaram-se as funções polinomiais de Legendre. Foram feitas comparações pelo critério de informação de Akaike, critério de informação bayesiano de Schwarz, logaritmo da função de verossimilhança e teste da razão de verossimilhança. O modelo com K = 3, para efeitos fixos, Ka = 4, para efeitos genéticos, e Kc = 4, para efeito de ambiente, propicia melhor ajuste para ambas as linhagens, não provoca grandes alterações nos componentes de variância e fornece melhores estimativas de herdabilidade.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraCNPq, FAPEMIGTeixeira, Bruno BastosEuclydes, Ricardo FredericoSilva, Luciano Pinheiro daTorres, Robledo de AlmeidaSilva, Felipe Gomes daCarneiro, Antonio Policarpo SouzaLehner, Helmut GonçalvesTeixeira, Rafael Bastos2013-10-18info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/14411Pesquisa Agropecuaria Brasileira; v.48, n.7, jul. 2013; 791-796Pesquisa Agropecuária Brasileira; v.48, n.7, jul. 2013; 791-7961678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/14411/12243https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/14411/9648info:eu-repo/semantics/openAccess2013-10-31T18:42:04Zoai:ojs.seer.sct.embrapa.br:article/14411Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2013-10-31T18:42:04Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Random regression models in the selection of meat‑type quails for egg production Modelos de regressão aleatória na seleção de codornas de corte para produção de ovos |
title |
Random regression models in the selection of meat‑type quails for egg production |
spellingShingle |
Random regression models in the selection of meat‑type quails for egg production Teixeira, Bruno Bastos Coturnix coturnix; heritability; Legendre’s polynomials; Wombat Coturnix coturnix; herdabilidade; polinômios de Legendre; Wombat |
title_short |
Random regression models in the selection of meat‑type quails for egg production |
title_full |
Random regression models in the selection of meat‑type quails for egg production |
title_fullStr |
Random regression models in the selection of meat‑type quails for egg production |
title_full_unstemmed |
Random regression models in the selection of meat‑type quails for egg production |
title_sort |
Random regression models in the selection of meat‑type quails for egg production |
author |
Teixeira, Bruno Bastos |
author_facet |
Teixeira, Bruno Bastos Euclydes, Ricardo Frederico Silva, Luciano Pinheiro da Torres, Robledo de Almeida Silva, Felipe Gomes da Carneiro, Antonio Policarpo Souza Lehner, Helmut Gonçalves Teixeira, Rafael Bastos |
author_role |
author |
author2 |
Euclydes, Ricardo Frederico Silva, Luciano Pinheiro da Torres, Robledo de Almeida Silva, Felipe Gomes da Carneiro, Antonio Policarpo Souza Lehner, Helmut Gonçalves Teixeira, Rafael Bastos |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
CNPq, FAPEMIG |
dc.contributor.author.fl_str_mv |
Teixeira, Bruno Bastos Euclydes, Ricardo Frederico Silva, Luciano Pinheiro da Torres, Robledo de Almeida Silva, Felipe Gomes da Carneiro, Antonio Policarpo Souza Lehner, Helmut Gonçalves Teixeira, Rafael Bastos |
dc.subject.por.fl_str_mv |
Coturnix coturnix; heritability; Legendre’s polynomials; Wombat Coturnix coturnix; herdabilidade; polinômios de Legendre; Wombat |
topic |
Coturnix coturnix; heritability; Legendre’s polynomials; Wombat Coturnix coturnix; herdabilidade; polinômios de Legendre; Wombat |
description |
The objective of this work was to evaluate random regression models with different orders of Legendre polynomials, as to the best fit for egg production of meat‑type quails. UFV1 and UFV2 genetic groups of meat‑type quails, from different origins, of the genetic breeding program of the Universidade Federal de Viçosa, Brazil, were evaluated. Egg production was determined weekly for 1,294 quails, from their 6th to their 57th week of age, of which 644 were from the genetic group UFV1, and 650 from UFV2. The animal model was used in random regression by Wombat software, and, for modeling variable trajectories in time, the Legendre’s polynomial functions were applied. Comparisons were made by the Akaike’s information criterion, the Bayesian information criterion of Schwarz, the logarithm of the likelihood function, and the likelihood ratio test. The model with K = 3, for fixed effects, Ka = 4, for genetic effects, and Kc = 4, for the effect of environment provides the best fit, do not causes major changes in the variance components, and provides better estimates of heritability. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-10-18 |
dc.type.none.fl_str_mv |
|
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://seer.sct.embrapa.br/index.php/pab/article/view/14411 |
url |
https://seer.sct.embrapa.br/index.php/pab/article/view/14411 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://seer.sct.embrapa.br/index.php/pab/article/view/14411/12243 https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/14411/9648 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira |
publisher.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira |
dc.source.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira; v.48, n.7, jul. 2013; 791-796 Pesquisa Agropecuária Brasileira; v.48, n.7, jul. 2013; 791-796 1678-3921 0100-104x reponame:Pesquisa Agropecuária Brasileira (Online) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Pesquisa Agropecuária Brasileira (Online) |
collection |
Pesquisa Agropecuária Brasileira (Online) |
repository.name.fl_str_mv |
Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
pab@sct.embrapa.br || sct.pab@embrapa.br |
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1793416694424666112 |