Mixed-effects growth curves in the valuation of Nellore sires

Detalhes bibliográficos
Autor(a) principal: Giolo,Suely Ruiz
Data de Publicação: 2009
Outros Autores: Henderson,Robin, Demétrio,Clarice Garcia Borges
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Scientia Agrícola (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162009000100012
Resumo: Cattle breeding programmes need objective criteria in order to evaluate and subsequently improve production systems. This work uses a logistic growth curve model for evaluating sires based on their progeny weight measured repeatedly over time. The parameters of the curve are described as a linear function of fixed and random effects. A Bayesian approach is used for the estimation. Analysis of the weights recorded on animals of the Nellore breed shows that growth curve models with fixed and random effects can be useful to evaluate and selecting sires.
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spelling Mixed-effects growth curves in the valuation of Nellore siresbeef cattlelogistic modellongitudinal datarandom effectsCattle breeding programmes need objective criteria in order to evaluate and subsequently improve production systems. This work uses a logistic growth curve model for evaluating sires based on their progeny weight measured repeatedly over time. The parameters of the curve are described as a linear function of fixed and random effects. A Bayesian approach is used for the estimation. Analysis of the weights recorded on animals of the Nellore breed shows that growth curve models with fixed and random effects can be useful to evaluate and selecting sires.Escola Superior de Agricultura "Luiz de Queiroz"2009-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162009000100012Scientia Agricola v.66 n.1 2009reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USP10.1590/S0103-90162009000100012info:eu-repo/semantics/openAccessGiolo,Suely RuizHenderson,RobinDemétrio,Clarice Garcia Borgeseng2009-02-13T00:00:00Zoai:scielo:S0103-90162009000100012Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2009-02-13T00:00Scientia Agrícola (Online) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Mixed-effects growth curves in the valuation of Nellore sires
title Mixed-effects growth curves in the valuation of Nellore sires
spellingShingle Mixed-effects growth curves in the valuation of Nellore sires
Giolo,Suely Ruiz
beef cattle
logistic model
longitudinal data
random effects
title_short Mixed-effects growth curves in the valuation of Nellore sires
title_full Mixed-effects growth curves in the valuation of Nellore sires
title_fullStr Mixed-effects growth curves in the valuation of Nellore sires
title_full_unstemmed Mixed-effects growth curves in the valuation of Nellore sires
title_sort Mixed-effects growth curves in the valuation of Nellore sires
author Giolo,Suely Ruiz
author_facet Giolo,Suely Ruiz
Henderson,Robin
Demétrio,Clarice Garcia Borges
author_role author
author2 Henderson,Robin
Demétrio,Clarice Garcia Borges
author2_role author
author
dc.contributor.author.fl_str_mv Giolo,Suely Ruiz
Henderson,Robin
Demétrio,Clarice Garcia Borges
dc.subject.por.fl_str_mv beef cattle
logistic model
longitudinal data
random effects
topic beef cattle
logistic model
longitudinal data
random effects
description Cattle breeding programmes need objective criteria in order to evaluate and subsequently improve production systems. This work uses a logistic growth curve model for evaluating sires based on their progeny weight measured repeatedly over time. The parameters of the curve are described as a linear function of fixed and random effects. A Bayesian approach is used for the estimation. Analysis of the weights recorded on animals of the Nellore breed shows that growth curve models with fixed and random effects can be useful to evaluate and selecting sires.
publishDate 2009
dc.date.none.fl_str_mv 2009-02-01
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=S0103-90162009000100012
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162009000100012
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0103-90162009000100012
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 Escola Superior de Agricultura "Luiz de Queiroz"
publisher.none.fl_str_mv Escola Superior de Agricultura "Luiz de Queiroz"
dc.source.none.fl_str_mv Scientia Agricola v.66 n.1 2009
reponame:Scientia Agrícola (Online)
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Scientia Agrícola (Online)
collection Scientia Agrícola (Online)
repository.name.fl_str_mv Scientia Agrícola (Online) - Universidade de São Paulo (USP)
repository.mail.fl_str_mv scientia@usp.br||alleoni@usp.br
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