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: | Genetics and Molecular Biology |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572009000400015 |
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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Genetics and Molecular Biology |
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Bayesian inference in genetic parameter estimation of visual scores in Nellore beef-cattlemorphological traitsthreshold modelgenetic parametersNelloreThe 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.Sociedade Brasileira de Genética2009-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572009000400015Genetics and Molecular Biology v.32 n.4 2009reponame:Genetics and Molecular Biologyinstname:Sociedade Brasileira de Genética (SBG)instacron:SBG10.1590/S1415-47572009005000066info:eu-repo/semantics/openAccessFaria,Carina Ubirajara deKoury Filho,WilliamMagnabosco,Cláudio UlhôaAlbuquerque,Lúcia Galvão deBezerra,Luiz Antônio FramartinoLôbo,Raysildo Barbosaeng2009-11-17T00:00:00Zoai:scielo:S1415-47572009000400015Revistahttp://www.gmb.org.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||editor@gmb.org.br1678-46851415-4757opendoar:2009-11-17T00:00Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)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 parameters 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,Lúcia Galvão de Bezerra,Luiz Antônio Framartino Lôbo,Raysildo Barbosa |
author_role |
author |
author2 |
Koury Filho,William Magnabosco,Cláudio Ulhôa Albuquerque,Lúcia Galvão de Bezerra,Luiz Antônio Framartino Lôbo,Raysildo Barbosa |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Faria,Carina Ubirajara de Koury Filho,William Magnabosco,Cláudio Ulhôa Albuquerque,Lúcia Galvão de Bezerra,Luiz Antônio Framartino Lôbo,Raysildo Barbosa |
dc.subject.por.fl_str_mv |
morphological traits threshold model genetic parameters Nellore |
topic |
morphological traits threshold model genetic parameters 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 |
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=S1415-47572009000400015 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572009000400015 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S1415-47572009005000066 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
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 |
Genetics and Molecular Biology v.32 n.4 2009 reponame:Genetics and Molecular Biology instname:Sociedade Brasileira de Genética (SBG) instacron:SBG |
instname_str |
Sociedade Brasileira de Genética (SBG) |
instacron_str |
SBG |
institution |
SBG |
reponame_str |
Genetics and Molecular Biology |
collection |
Genetics and Molecular Biology |
repository.name.fl_str_mv |
Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG) |
repository.mail.fl_str_mv |
||editor@gmb.org.br |
_version_ |
1752122382345043968 |