Estimation of (co)variance components and genetic parameters for weights of red-winged tinamou using random regression models

Detalhes bibliográficos
Autor(a) principal: Tholon,P.
Data de Publicação: 2011
Outros Autores: Queiroz,S.A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Zootecnia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982011000400011
Resumo: The objective of this work was to determine genetic parameters for body weight of tinamou in captivity. It was used random regression models in analyses of data by considering the direct additive genetic (DA) and permanent environmental effects of the animal (PE) as random effects. Residual variances were modeled by using a fifth-order variance function. The mean population growth curve was fitted by sixth-order Legendre orthogonal polynomials. Direct additive genetic effects and animal environmental permanent effect were modeled by using Legendre polynomials of order two to nine. The best results were obtained by models with orders of fit of 6 for direct additive genetic effect and of order 3 for permanent effect by Akaike information criterion and of order 3 for both additive genetic effect and permanent effect by Schwarz Bayesian information criterion and likelihood ratio test. Heritability estimates ranged from 0.02 to 0.57. The first eigenvalue explained 94% and 90% of the variation from additive direct and permant environmental effects, respectively. Selection of tinamou for body weight is more effective after 112 days of age.
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spelling Estimation of (co)variance components and genetic parameters for weights of red-winged tinamou using random regression modelsgenetic correlationheritabilityLegendre polynomialstinamouwild birdThe objective of this work was to determine genetic parameters for body weight of tinamou in captivity. It was used random regression models in analyses of data by considering the direct additive genetic (DA) and permanent environmental effects of the animal (PE) as random effects. Residual variances were modeled by using a fifth-order variance function. The mean population growth curve was fitted by sixth-order Legendre orthogonal polynomials. Direct additive genetic effects and animal environmental permanent effect were modeled by using Legendre polynomials of order two to nine. The best results were obtained by models with orders of fit of 6 for direct additive genetic effect and of order 3 for permanent effect by Akaike information criterion and of order 3 for both additive genetic effect and permanent effect by Schwarz Bayesian information criterion and likelihood ratio test. Heritability estimates ranged from 0.02 to 0.57. The first eigenvalue explained 94% and 90% of the variation from additive direct and permant environmental effects, respectively. Selection of tinamou for body weight is more effective after 112 days of age.Sociedade Brasileira de Zootecnia2011-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982011000400011Revista Brasileira de Zootecnia v.40 n.4 2011reponame:Revista Brasileira de Zootecnia (Online)instname:Sociedade Brasileira de Zootecnia (SBZ)instacron:SBZ10.1590/S1516-35982011000400011info:eu-repo/semantics/openAccessTholon,P.Queiroz,S.A.eng2011-04-25T00:00:00Zoai:scielo:S1516-35982011000400011Revistahttps://www.rbz.org.br/pt-br/https://old.scielo.br/oai/scielo-oai.php||bz@sbz.org.br|| secretariarbz@sbz.org.br1806-92901516-3598opendoar:2011-04-25T00:00Revista Brasileira de Zootecnia (Online) - Sociedade Brasileira de Zootecnia (SBZ)false
dc.title.none.fl_str_mv Estimation of (co)variance components and genetic parameters for weights of red-winged tinamou using random regression models
title Estimation of (co)variance components and genetic parameters for weights of red-winged tinamou using random regression models
spellingShingle Estimation of (co)variance components and genetic parameters for weights of red-winged tinamou using random regression models
Tholon,P.
genetic correlation
heritability
Legendre polynomials
tinamou
wild bird
title_short Estimation of (co)variance components and genetic parameters for weights of red-winged tinamou using random regression models
title_full Estimation of (co)variance components and genetic parameters for weights of red-winged tinamou using random regression models
title_fullStr Estimation of (co)variance components and genetic parameters for weights of red-winged tinamou using random regression models
title_full_unstemmed Estimation of (co)variance components and genetic parameters for weights of red-winged tinamou using random regression models
title_sort Estimation of (co)variance components and genetic parameters for weights of red-winged tinamou using random regression models
author Tholon,P.
author_facet Tholon,P.
Queiroz,S.A.
author_role author
author2 Queiroz,S.A.
author2_role author
dc.contributor.author.fl_str_mv Tholon,P.
Queiroz,S.A.
dc.subject.por.fl_str_mv genetic correlation
heritability
Legendre polynomials
tinamou
wild bird
topic genetic correlation
heritability
Legendre polynomials
tinamou
wild bird
description The objective of this work was to determine genetic parameters for body weight of tinamou in captivity. It was used random regression models in analyses of data by considering the direct additive genetic (DA) and permanent environmental effects of the animal (PE) as random effects. Residual variances were modeled by using a fifth-order variance function. The mean population growth curve was fitted by sixth-order Legendre orthogonal polynomials. Direct additive genetic effects and animal environmental permanent effect were modeled by using Legendre polynomials of order two to nine. The best results were obtained by models with orders of fit of 6 for direct additive genetic effect and of order 3 for permanent effect by Akaike information criterion and of order 3 for both additive genetic effect and permanent effect by Schwarz Bayesian information criterion and likelihood ratio test. Heritability estimates ranged from 0.02 to 0.57. The first eigenvalue explained 94% and 90% of the variation from additive direct and permant environmental effects, respectively. Selection of tinamou for body weight is more effective after 112 days of age.
publishDate 2011
dc.date.none.fl_str_mv 2011-04-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982011000400011
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982011000400011
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1516-35982011000400011
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Zootecnia
publisher.none.fl_str_mv Sociedade Brasileira de Zootecnia
dc.source.none.fl_str_mv Revista Brasileira de Zootecnia v.40 n.4 2011
reponame:Revista Brasileira de Zootecnia (Online)
instname:Sociedade Brasileira de Zootecnia (SBZ)
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instname_str Sociedade Brasileira de Zootecnia (SBZ)
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institution SBZ
reponame_str Revista Brasileira de Zootecnia (Online)
collection Revista Brasileira de Zootecnia (Online)
repository.name.fl_str_mv Revista Brasileira de Zootecnia (Online) - Sociedade Brasileira de Zootecnia (SBZ)
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