Bayesian inference in genetic parameter estimation of visual scores in Nellore beef-cattle
Autor(a) principal: | |
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Data de Publicação: | 2009 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1590/S1415-47572009005000066 http://hdl.handle.net/11449/4522 |
Resumo: | The aim of this study was to estimate the components of variance and genetic parameters for the visual scores which constitute the Morphological Evaluation System (MES), such as body structure (S), precocity (P) and musculature (M) in Nellore beef-cattle at the weaning and yearling stages, by using threshold Bayesian models. The information used for this was gleaned from visual scores of 5,407 animals evaluated at the weaning and 2,649 at the yearling stages. The genetic parameters for visual score traits were estimated through two-trait analysis, using the threshold animal model, with Bayesian statistics methodology and MTGSAM (Multiple Trait Gibbs Sampler for Animal Models) threshold software. Heritability estimates for S, P and M were 0.68, 0.65 and 0.62 (at weaning) and 0.44, 0.38 and 0.32 (at the yearling stage), respectively. Heritability estimates for S, P and M were found to be high, and so it is expected that these traits should respond favorably to direct selection. The visual scores evaluated at the weaning and yearling stages might be used in the composition of new selection indexes, as they presented sufficient genetic variability to promote genetic progress in such morphological traits. |
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Repositório Institucional da UNESP |
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Bayesian inference in genetic parameter estimation of visual scores in Nellore beef-cattlemorphological traitsThreshold modelGenetic parameterNelloreThe aim of this study was to estimate the components of variance and genetic parameters for the visual scores which constitute the Morphological Evaluation System (MES), such as body structure (S), precocity (P) and musculature (M) in Nellore beef-cattle at the weaning and yearling stages, by using threshold Bayesian models. The information used for this was gleaned from visual scores of 5,407 animals evaluated at the weaning and 2,649 at the yearling stages. The genetic parameters for visual score traits were estimated through two-trait analysis, using the threshold animal model, with Bayesian statistics methodology and MTGSAM (Multiple Trait Gibbs Sampler for Animal Models) threshold software. Heritability estimates for S, P and M were 0.68, 0.65 and 0.62 (at weaning) and 0.44, 0.38 and 0.32 (at the yearling stage), respectively. Heritability estimates for S, P and M were found to be high, and so it is expected that these traits should respond favorably to direct selection. The visual scores evaluated at the weaning and yearling stages might be used in the composition of new selection indexes, as they presented sufficient genetic variability to promote genetic progress in such morphological traits.Universidade Federal de Goiás (UFG)Brasilcomz Zootecnia TropicalEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA) CerradosUniversidade Estadual Paulista Faculdade de Ciências Agrárias e VeterináriasUniversidade de São Paulo Faculdade de Medicina de Ribeirão Preto Departamento de GenéticaAssociação Nacional de Criadores e PesquisadoresUniversidade Estadual Paulista Faculdade de Ciências Agrárias e VeterináriasSociedade Brasileira de GenéticaUniversidade Federal de Goiás (UFG)Brasilcomz Zootecnia TropicalEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)Universidade Estadual Paulista (Unesp)Universidade de São Paulo (USP)Associação Nacional de Criadores e PesquisadoresFaria, Carina Ubirajara deKoury Filho, WilliamMagnabosco, Cláudio UlhôaAlbuquerque, Lucia Galvão de [UNESP]Bezerra, Luiz Antônio FramartinoLôbo, Raysildo Barbosa2014-05-20T13:18:26Z2014-05-20T13:18:26Z2009-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article753-760application/pdfhttp://dx.doi.org/10.1590/S1415-47572009005000066Genetics and Molecular Biology. Sociedade Brasileira de Genética, v. 32, n. 4, p. 753-760, 2009.1415-4757http://hdl.handle.net/11449/452210.1590/S1415-47572009005000066S1415-47572009000400015WOS:000272182700015S1415-47572009000400015.pdf5866981114947883SciELOreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengGenetics and Molecular Biology1.4930,638info:eu-repo/semantics/openAccess2024-06-07T18:40:39Zoai:repositorio.unesp.br:11449/4522Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T15:53:51.513413Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Bayesian inference in genetic parameter estimation of visual scores in Nellore beef-cattle |
title |
Bayesian inference in genetic parameter estimation of visual scores in Nellore beef-cattle |
spellingShingle |
Bayesian inference in genetic parameter estimation of visual scores in Nellore beef-cattle Faria, Carina Ubirajara de morphological traits Threshold model Genetic parameter Nellore |
title_short |
Bayesian inference in genetic parameter estimation of visual scores in Nellore beef-cattle |
title_full |
Bayesian inference in genetic parameter estimation of visual scores in Nellore beef-cattle |
title_fullStr |
Bayesian inference in genetic parameter estimation of visual scores in Nellore beef-cattle |
title_full_unstemmed |
Bayesian inference in genetic parameter estimation of visual scores in Nellore beef-cattle |
title_sort |
Bayesian inference in genetic parameter estimation of visual scores in Nellore beef-cattle |
author |
Faria, Carina Ubirajara de |
author_facet |
Faria, Carina Ubirajara de Koury Filho, William Magnabosco, Cláudio Ulhôa Albuquerque, Lucia Galvão de [UNESP] Bezerra, Luiz Antônio Framartino Lôbo, Raysildo Barbosa |
author_role |
author |
author2 |
Koury Filho, William Magnabosco, Cláudio Ulhôa Albuquerque, Lucia Galvão de [UNESP] Bezerra, Luiz Antônio Framartino Lôbo, Raysildo Barbosa |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Federal de Goiás (UFG) Brasilcomz Zootecnia Tropical Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) Universidade Estadual Paulista (Unesp) Universidade de São Paulo (USP) Associação Nacional de Criadores e Pesquisadores |
dc.contributor.author.fl_str_mv |
Faria, Carina Ubirajara de Koury Filho, William Magnabosco, Cláudio Ulhôa Albuquerque, Lucia Galvão de [UNESP] Bezerra, Luiz Antônio Framartino Lôbo, Raysildo Barbosa |
dc.subject.por.fl_str_mv |
morphological traits Threshold model Genetic parameter Nellore |
topic |
morphological traits Threshold model Genetic parameter Nellore |
description |
The aim of this study was to estimate the components of variance and genetic parameters for the visual scores which constitute the Morphological Evaluation System (MES), such as body structure (S), precocity (P) and musculature (M) in Nellore beef-cattle at the weaning and yearling stages, by using threshold Bayesian models. The information used for this was gleaned from visual scores of 5,407 animals evaluated at the weaning and 2,649 at the yearling stages. The genetic parameters for visual score traits were estimated through two-trait analysis, using the threshold animal model, with Bayesian statistics methodology and MTGSAM (Multiple Trait Gibbs Sampler for Animal Models) threshold software. Heritability estimates for S, P and M were 0.68, 0.65 and 0.62 (at weaning) and 0.44, 0.38 and 0.32 (at the yearling stage), respectively. Heritability estimates for S, P and M were found to be high, and so it is expected that these traits should respond favorably to direct selection. The visual scores evaluated at the weaning and yearling stages might be used in the composition of new selection indexes, as they presented sufficient genetic variability to promote genetic progress in such morphological traits. |
publishDate |
2009 |
dc.date.none.fl_str_mv |
2009-01-01 2014-05-20T13:18:26Z 2014-05-20T13:18:26Z |
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 |
http://dx.doi.org/10.1590/S1415-47572009005000066 Genetics and Molecular Biology. Sociedade Brasileira de Genética, v. 32, n. 4, p. 753-760, 2009. 1415-4757 http://hdl.handle.net/11449/4522 10.1590/S1415-47572009005000066 S1415-47572009000400015 WOS:000272182700015 S1415-47572009000400015.pdf 5866981114947883 |
url |
http://dx.doi.org/10.1590/S1415-47572009005000066 http://hdl.handle.net/11449/4522 |
identifier_str_mv |
Genetics and Molecular Biology. Sociedade Brasileira de Genética, v. 32, n. 4, p. 753-760, 2009. 1415-4757 10.1590/S1415-47572009005000066 S1415-47572009000400015 WOS:000272182700015 S1415-47572009000400015.pdf 5866981114947883 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Genetics and Molecular Biology 1.493 0,638 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
753-760 application/pdf |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Genética |
publisher.none.fl_str_mv |
Sociedade Brasileira de Genética |
dc.source.none.fl_str_mv |
SciELO reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128580420370432 |