Bayesian approach in the lactation curve of Saanen goats from first and second calving orders

Detalhes bibliográficos
Autor(a) principal: Silva, Fabyano Fonseca e
Data de Publicação: 2005
Outros Autores: Muniz, Joel Augusto, Aquino, Luiz Henrique de, Sáfadi, Thelma
Tipo de documento: Artigo
Idioma: por
Título da fonte: Pesquisa Agropecuária Brasileira (Online)
Texto Completo: https://seer.sct.embrapa.br/index.php/pab/article/view/6917
Resumo: The objective of this work was to use the Bayesian method in the fitting of the Wood´s model for milk production of Saanen goats. Two groups of animals from first and second lactation were considered in the analysis. The posterior marginal distributions for each parameter and production functions, peak milk yield, time of peak yield, persistency and total milk production, were obtained via Gibbs Sampler algorithm. The inference was done for each population. The results showed differences in the slope of the curve after the peak and in persistency, indicating highest production for the second lactation. The data were simulated for evaluating Bayesian method under several covariance matrices structures. The simulation results indicate the efficiency of this method for lactation curves studies when the covariance matrices show high correlation for parameters.
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spelling Bayesian approach in the lactation curve of Saanen goats from first and second calving ordersAbordagem Bayesiana da curva de lactação de cabras Saanen de primeira e segunda ordem de partoGibbs Sampler; covariance matrix; dairy productionGibbs Sampler; matriz de covariância; produção de leiteThe objective of this work was to use the Bayesian method in the fitting of the Wood´s model for milk production of Saanen goats. Two groups of animals from first and second lactation were considered in the analysis. The posterior marginal distributions for each parameter and production functions, peak milk yield, time of peak yield, persistency and total milk production, were obtained via Gibbs Sampler algorithm. The inference was done for each population. The results showed differences in the slope of the curve after the peak and in persistency, indicating highest production for the second lactation. The data were simulated for evaluating Bayesian method under several covariance matrices structures. The simulation results indicate the efficiency of this method for lactation curves studies when the covariance matrices show high correlation for parameters.O objetivo deste trabalho foi utilizar o método Bayesiano no ajuste do modelo de Wood a dados de produção de leite de cabras da raça Saanen. Dois grupos de animais da primeira e segunda lactação foram considerados. Amostras das distribuições marginais a posteriori dos parâmetros do modelo de Wood e das funções de produção derivadas desses parâmetros – pico de produção, tempo do pico de produção, persistência e produção total de leite – foram obtidas pelo algoritmo Gibbs Sampler. As inferências foram feitas em cada população e os resultados mostraram diferenças na taxa de decréscimo da produção após o pico e na persistência, indicando maior produção nos animais de segunda lactação. Realizou-se um estudo de simulação de dados para avaliar o método Bayesiano sob diferentes estruturas de matrizes de covariâncias dos parâmetros. Os resultados desse estudo indicam que o método é eficiente no estudo das curvas de lactação quando a matriz de covariância apresenta alta correlação dos parâmetros.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraSilva, Fabyano Fonseca eMuniz, Joel AugustoAquino, Luiz Henrique deSáfadi, Thelma2005-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/6917Pesquisa Agropecuaria Brasileira; v.40, n.1, jan. 2005; 27-33Pesquisa Agropecuária Brasileira; v.40, n.1, jan. 2005; 27-331678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/6917/3965info:eu-repo/semantics/openAccess2014-09-23T17:41:43Zoai:ojs.seer.sct.embrapa.br:article/6917Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2014-09-23T17:41:43Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Bayesian approach in the lactation curve of Saanen goats from first and second calving orders
Abordagem Bayesiana da curva de lactação de cabras Saanen de primeira e segunda ordem de parto
title Bayesian approach in the lactation curve of Saanen goats from first and second calving orders
spellingShingle Bayesian approach in the lactation curve of Saanen goats from first and second calving orders
Silva, Fabyano Fonseca e
Gibbs Sampler; covariance matrix; dairy production
Gibbs Sampler; matriz de covariância; produção de leite
title_short Bayesian approach in the lactation curve of Saanen goats from first and second calving orders
title_full Bayesian approach in the lactation curve of Saanen goats from first and second calving orders
title_fullStr Bayesian approach in the lactation curve of Saanen goats from first and second calving orders
title_full_unstemmed Bayesian approach in the lactation curve of Saanen goats from first and second calving orders
title_sort Bayesian approach in the lactation curve of Saanen goats from first and second calving orders
author Silva, Fabyano Fonseca e
author_facet Silva, Fabyano Fonseca e
Muniz, Joel Augusto
Aquino, Luiz Henrique de
Sáfadi, Thelma
author_role author
author2 Muniz, Joel Augusto
Aquino, Luiz Henrique de
Sáfadi, Thelma
author2_role author
author
author
dc.contributor.none.fl_str_mv

dc.contributor.author.fl_str_mv Silva, Fabyano Fonseca e
Muniz, Joel Augusto
Aquino, Luiz Henrique de
Sáfadi, Thelma
dc.subject.por.fl_str_mv Gibbs Sampler; covariance matrix; dairy production
Gibbs Sampler; matriz de covariância; produção de leite
topic Gibbs Sampler; covariance matrix; dairy production
Gibbs Sampler; matriz de covariância; produção de leite
description The objective of this work was to use the Bayesian method in the fitting of the Wood´s model for milk production of Saanen goats. Two groups of animals from first and second lactation were considered in the analysis. The posterior marginal distributions for each parameter and production functions, peak milk yield, time of peak yield, persistency and total milk production, were obtained via Gibbs Sampler algorithm. The inference was done for each population. The results showed differences in the slope of the curve after the peak and in persistency, indicating highest production for the second lactation. The data were simulated for evaluating Bayesian method under several covariance matrices structures. The simulation results indicate the efficiency of this method for lactation curves studies when the covariance matrices show high correlation for parameters.
publishDate 2005
dc.date.none.fl_str_mv 2005-01-01
dc.type.none.fl_str_mv
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.sct.embrapa.br/index.php/pab/article/view/6917
url https://seer.sct.embrapa.br/index.php/pab/article/view/6917
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://seer.sct.embrapa.br/index.php/pab/article/view/6917/3965
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
publisher.none.fl_str_mv Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
dc.source.none.fl_str_mv Pesquisa Agropecuaria Brasileira; v.40, n.1, jan. 2005; 27-33
Pesquisa Agropecuária Brasileira; v.40, n.1, jan. 2005; 27-33
1678-3921
0100-104x
reponame:Pesquisa Agropecuária Brasileira (Online)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Pesquisa Agropecuária Brasileira (Online)
collection Pesquisa Agropecuária Brasileira (Online)
repository.name.fl_str_mv Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv pab@sct.embrapa.br || sct.pab@embrapa.br
_version_ 1793416698128236544

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