Estimation of (co)variance components and genetic parameters for weights of red-winged tinamou using random regression models.
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/908926 https://doi.org/10.1590/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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Estimation of (co)variance components and genetic parameters for weights of red-winged tinamou using random regression models.Legendre polynomialsTinamouWild birdgenetic correlationheritabilityThe 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.PATRICIA THOLON, CPPSE; SANDRA AIDAR QUEIROZ, UNESP/JABOTICABAL.THOLON, P.QUEIROZ, S. A.2022-07-28T10:19:22Z2022-07-28T10:19:22Z2011-12-072011info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleRevista Brasileira de Zootecnia, v. 40, n. 4, p. 781-787, apr. 2011.http://www.alice.cnptia.embrapa.br/alice/handle/doc/908926https://doi.org/10.1590/S1516-35982011000400011enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2022-07-28T10:19:31Zoai:www.alice.cnptia.embrapa.br:doc/908926Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542022-07-28T10:19:31Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)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. Legendre polynomials Tinamou Wild bird genetic correlation heritability |
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.none.fl_str_mv |
PATRICIA THOLON, CPPSE; SANDRA AIDAR QUEIROZ, UNESP/JABOTICABAL. |
dc.contributor.author.fl_str_mv |
THOLON, P. QUEIROZ, S. A. |
dc.subject.por.fl_str_mv |
Legendre polynomials Tinamou Wild bird genetic correlation heritability |
topic |
Legendre polynomials Tinamou Wild bird genetic correlation heritability |
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 |
2011-12-07 2011 2022-07-28T10:19:22Z 2022-07-28T10:19:22Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Revista Brasileira de Zootecnia, v. 40, n. 4, p. 781-787, apr. 2011. http://www.alice.cnptia.embrapa.br/alice/handle/doc/908926 https://doi.org/10.1590/S1516-35982011000400011 |
identifier_str_mv |
Revista Brasileira de Zootecnia, v. 40, n. 4, p. 781-787, apr. 2011. |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/908926 https://doi.org/10.1590/S1516-35982011000400011 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1817695643784708096 |