Random regression models in the selection of meat‑type quails for egg production

Detalhes bibliográficos
Autor(a) principal: Teixeira, Bruno Bastos
Data de Publicação: 2013
Outros Autores: 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
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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spelling 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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