Analyses of growth curves of Nellore cattle by Bayesian method via Gibbs sampling
Autor(a) principal: | |
---|---|
Data de Publicação: | 2003 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Arquivo brasileiro de medicina veterinária e zootecnia (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-09352003000400015 |
Resumo: | Growth curves of Nellore cattle were analyzed using body weights measured at ages ranging from 1 day (birth weight) to 733 days. Traits considered were birth weight, 10 to 110 days weight, 102 to 202 days weight, 193 to 293 days weight, 283 to 383 days weight, 376 to 476 days weight, 551 to 651 days weight, and 633 to 733 days weight. Two data samples were created: one with 79,849 records from herds that had missing traits and another with 74,601 from herds with no missing traits. Records preadjusted to a fixed age were analyzed by a multiple trait model (MTM), which included the effects of contemporary group, age of dam class, additive direct, additive maternal, and maternal permanent environment. Analyses were carried out by a Bayesian method for all nine traits. The random regression model (RRM) included the effects of age of animal, contemporary group, age of dam class, additive direct, permanent environment, additive maternal, and maternal permanent environment. Legendre cubic polynomials were used to describe random effects. MTM estimated covariance components and genetic parameters for birth weight and sequential weights and RRM for all ages. Due to the fact that covariance components based on RRM were inflated for herds with missing traits, MTM should be used and converted to covariance functions. |
id |
UFMG-8_3722744746251671b1b8cb989ecc05d1 |
---|---|
oai_identifier_str |
oai:scielo:S0102-09352003000400015 |
network_acronym_str |
UFMG-8 |
network_name_str |
Arquivo brasileiro de medicina veterinária e zootecnia (Online) |
repository_id_str |
|
spelling |
Analyses of growth curves of Nellore cattle by Bayesian method via Gibbs samplingbeef cattlemultiple traitrandom regressionGrowth curves of Nellore cattle were analyzed using body weights measured at ages ranging from 1 day (birth weight) to 733 days. Traits considered were birth weight, 10 to 110 days weight, 102 to 202 days weight, 193 to 293 days weight, 283 to 383 days weight, 376 to 476 days weight, 551 to 651 days weight, and 633 to 733 days weight. Two data samples were created: one with 79,849 records from herds that had missing traits and another with 74,601 from herds with no missing traits. Records preadjusted to a fixed age were analyzed by a multiple trait model (MTM), which included the effects of contemporary group, age of dam class, additive direct, additive maternal, and maternal permanent environment. Analyses were carried out by a Bayesian method for all nine traits. The random regression model (RRM) included the effects of age of animal, contemporary group, age of dam class, additive direct, permanent environment, additive maternal, and maternal permanent environment. Legendre cubic polynomials were used to describe random effects. MTM estimated covariance components and genetic parameters for birth weight and sequential weights and RRM for all ages. Due to the fact that covariance components based on RRM were inflated for herds with missing traits, MTM should be used and converted to covariance functions.Universidade Federal de Minas Gerais, Escola de Veterinária2003-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-09352003000400015Arquivo Brasileiro de Medicina Veterinária e Zootecnia v.55 n.4 2003reponame:Arquivo brasileiro de medicina veterinária e zootecnia (Online)instname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMG10.1590/S0102-09352003000400015info:eu-repo/semantics/openAccessNobre,P.R.C.Lopes,P.S.Torres,R.A.Silva,L.O.C.Regazzi,A.J.Torres Júnior,R.A.A.Misztal,I.eng2003-11-12T00:00:00Zoai:scielo:S0102-09352003000400015Revistahttps://www.scielo.br/j/abmvz/PUBhttps://old.scielo.br/oai/scielo-oai.phpjournal@vet.ufmg.br||abmvz.artigo@abmvz.org.br1678-41620102-0935opendoar:2003-11-12T00:00Arquivo brasileiro de medicina veterinária e zootecnia (Online) - Universidade Federal de Minas Gerais (UFMG)false |
dc.title.none.fl_str_mv |
Analyses of growth curves of Nellore cattle by Bayesian method via Gibbs sampling |
title |
Analyses of growth curves of Nellore cattle by Bayesian method via Gibbs sampling |
spellingShingle |
Analyses of growth curves of Nellore cattle by Bayesian method via Gibbs sampling Nobre,P.R.C. beef cattle multiple trait random regression |
title_short |
Analyses of growth curves of Nellore cattle by Bayesian method via Gibbs sampling |
title_full |
Analyses of growth curves of Nellore cattle by Bayesian method via Gibbs sampling |
title_fullStr |
Analyses of growth curves of Nellore cattle by Bayesian method via Gibbs sampling |
title_full_unstemmed |
Analyses of growth curves of Nellore cattle by Bayesian method via Gibbs sampling |
title_sort |
Analyses of growth curves of Nellore cattle by Bayesian method via Gibbs sampling |
author |
Nobre,P.R.C. |
author_facet |
Nobre,P.R.C. Lopes,P.S. Torres,R.A. Silva,L.O.C. Regazzi,A.J. Torres Júnior,R.A.A. Misztal,I. |
author_role |
author |
author2 |
Lopes,P.S. Torres,R.A. Silva,L.O.C. Regazzi,A.J. Torres Júnior,R.A.A. Misztal,I. |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Nobre,P.R.C. Lopes,P.S. Torres,R.A. Silva,L.O.C. Regazzi,A.J. Torres Júnior,R.A.A. Misztal,I. |
dc.subject.por.fl_str_mv |
beef cattle multiple trait random regression |
topic |
beef cattle multiple trait random regression |
description |
Growth curves of Nellore cattle were analyzed using body weights measured at ages ranging from 1 day (birth weight) to 733 days. Traits considered were birth weight, 10 to 110 days weight, 102 to 202 days weight, 193 to 293 days weight, 283 to 383 days weight, 376 to 476 days weight, 551 to 651 days weight, and 633 to 733 days weight. Two data samples were created: one with 79,849 records from herds that had missing traits and another with 74,601 from herds with no missing traits. Records preadjusted to a fixed age were analyzed by a multiple trait model (MTM), which included the effects of contemporary group, age of dam class, additive direct, additive maternal, and maternal permanent environment. Analyses were carried out by a Bayesian method for all nine traits. The random regression model (RRM) included the effects of age of animal, contemporary group, age of dam class, additive direct, permanent environment, additive maternal, and maternal permanent environment. Legendre cubic polynomials were used to describe random effects. MTM estimated covariance components and genetic parameters for birth weight and sequential weights and RRM for all ages. Due to the fact that covariance components based on RRM were inflated for herds with missing traits, MTM should be used and converted to covariance functions. |
publishDate |
2003 |
dc.date.none.fl_str_mv |
2003-08-01 |
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=S0102-09352003000400015 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-09352003000400015 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0102-09352003000400015 |
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 |
Universidade Federal de Minas Gerais, Escola de Veterinária |
publisher.none.fl_str_mv |
Universidade Federal de Minas Gerais, Escola de Veterinária |
dc.source.none.fl_str_mv |
Arquivo Brasileiro de Medicina Veterinária e Zootecnia v.55 n.4 2003 reponame:Arquivo brasileiro de medicina veterinária e zootecnia (Online) instname:Universidade Federal de Minas Gerais (UFMG) instacron:UFMG |
instname_str |
Universidade Federal de Minas Gerais (UFMG) |
instacron_str |
UFMG |
institution |
UFMG |
reponame_str |
Arquivo brasileiro de medicina veterinária e zootecnia (Online) |
collection |
Arquivo brasileiro de medicina veterinária e zootecnia (Online) |
repository.name.fl_str_mv |
Arquivo brasileiro de medicina veterinária e zootecnia (Online) - Universidade Federal de Minas Gerais (UFMG) |
repository.mail.fl_str_mv |
journal@vet.ufmg.br||abmvz.artigo@abmvz.org.br |
_version_ |
1750220878007762944 |