Loading…

Hierarchical Bayesian modeling for the evaluation of growth curves of pigs genotyped for the halothane gene/Modelagem hierarquica bayesiana na avaliacao de curvas de crescimento de suinos genotipados para o gene halotano

A hierarchical Bayesian modeling was used to evaluate the influence of halothane gene and its interaction with sex on pig's growth curves. Under this approach, the parameters from growth models (Logistic, Gompertz and von Bertalanffy) were estimated jointly with the effects of halothane gene an...

Full description

Saved in:
Bibliographic Details
Published in:Ciência rural 2014-10, Vol.44 (10), p.1853
Main Authors: de Macedo, Leandro Roberto, e Silva, Fabyano Fonseca, Cirillo, Marcelo Angelo, Nascimento, Moyses, Paixao, Debora Ma, Guimaraes, Simone Eliza Facioni, Lopes, Paulo Savio, dos Santos, Jussara Aparecida, Azevedo, Camila Ferreira
Format: Article
Language:Spanish
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page
container_issue 10
container_start_page 1853
container_title Ciência rural
container_volume 44
creator de Macedo, Leandro Roberto
e Silva, Fabyano Fonseca
Cirillo, Marcelo Angelo
Nascimento, Moyses
Paixao, Debora Ma
Guimaraes, Simone Eliza Facioni
Lopes, Paulo Savio
dos Santos, Jussara Aparecida
Azevedo, Camila Ferreira
description A hierarchical Bayesian modeling was used to evaluate the influence of halothane gene and its interaction with sex on pig's growth curves. Under this approach, the parameters from growth models (Logistic, Gompertz and von Bertalanffy) were estimated jointly with the effects of halothane gene and sex. A total of 344 F2 (Commercial x Piau) animals were weighted at birth, 21, 42, 63, 77, 105 and 150 days in life. The Logistic model has presented the best fit based on DIC (Deviance Information Criterion). Thus, the samples from marginal posterior distributions for the differences between the parameters estimates of Logistic model have indicated that the maturity weight of males with heterozygous genotypes ([Hal.sup.Nn]) was superior to males with homozygous genotypes ([Hal.sup.NN]). In order to realize a comparison with the traditional methodology, the frequentist approach based on two distinct steps also was used, but there was not identified significant differences between growth curve parameter estimates from each group (combinations of halothane genotypes and sex). Key words: improvement, nonlinear models, pig stress syndrome. Para avaliar a influencia do gene halotano sobre a curva de crescimento de suinos, bem como sua interacao com o sexo do animal, foi proposta uma modelagem hierarquica Bayesiana. Nesta abordagem, os parametros dos modelos naolineares de crescimento (Logistico, Gompertz e von Bertalanffy) foram estimados conjuntamente com os efeitos de sexo e genotipos do gene halotano. Foram utilizados 344 animais F2(Comercial x Piau) pesados ao nascer, aos 21, 42, 63, 77, 105 e 150 dias. O modelo Logistico foi aquele que apresentou melhor qualidade de ajuste por apresentar menor DIC (Deviance Information Criterion) que os demais. As amostras das distribuicoes marginais a posteriori para as diferencas entre as estimativas dos parametros do modelo Logistico indicaram que o peso dos machos a idade adulta com genotipo heterozigoto ([Hal.sup.Nn]) foi superior ao dos homozigotos ([Hal.sup.NN]). A titulo de comparacao, tambem foi considerada a abordagem frequentista tradicional, baseada em dois passos distintos, a qual, por apresentar um menor poder de discernimento estatistico, nao mostrou diferencas significativas. Palavras-chave: melhoramento, modelos nao-lineares, sindrome do estresse suino.
doi_str_mv 10.1590/0103-8478cr20131278
format article
fullrecord <record><control><sourceid>gale</sourceid><recordid>TN_cdi_gale_infotracacademiconefile_A441911768</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A441911768</galeid><sourcerecordid>A441911768</sourcerecordid><originalsourceid>FETCH-gale_infotracacademiconefile_A4419117683</originalsourceid><addsrcrecordid>eNqVjc1OwzAQhH0AifLzBFz2BdraSSDpERCoF27c0eJskkWJN9hOUd-VhyEJUe9IK-1oRjOfUrdGb8zdTm-10em6yPLC-kSb1CR5caZWJ_dCXYbwqXWSp1m2Uj97Jo_eNmyxhUc8UmB00ElJLbsaKvEQGwI6YDtgZHEgFdRevmMDdvAHCpPRcx2gJifx2FN5ajXYSmzQ0ZTR9nVaxZo6aGbq1zBS4WOBIoyHI4fRokBJ8z6GWXkKljtycQ7CwE4WIPdYjrpHjyAz5w-LTq7VeYVtoJvlX6nNy_Pb035dY0vv7CqJfmRZLKljK44qHv2HLDM7Y_L7Iv134RcTeIFv</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Hierarchical Bayesian modeling for the evaluation of growth curves of pigs genotyped for the halothane gene/Modelagem hierarquica bayesiana na avaliacao de curvas de crescimento de suinos genotipados para o gene halotano</title><source>SciELO Brazil</source><source>Alma/SFX Local Collection</source><creator>de Macedo, Leandro Roberto ; e Silva, Fabyano Fonseca ; Cirillo, Marcelo Angelo ; Nascimento, Moyses ; Paixao, Debora Ma ; Guimaraes, Simone Eliza Facioni ; Lopes, Paulo Savio ; dos Santos, Jussara Aparecida ; Azevedo, Camila Ferreira</creator><creatorcontrib>de Macedo, Leandro Roberto ; e Silva, Fabyano Fonseca ; Cirillo, Marcelo Angelo ; Nascimento, Moyses ; Paixao, Debora Ma ; Guimaraes, Simone Eliza Facioni ; Lopes, Paulo Savio ; dos Santos, Jussara Aparecida ; Azevedo, Camila Ferreira</creatorcontrib><description>A hierarchical Bayesian modeling was used to evaluate the influence of halothane gene and its interaction with sex on pig's growth curves. Under this approach, the parameters from growth models (Logistic, Gompertz and von Bertalanffy) were estimated jointly with the effects of halothane gene and sex. A total of 344 F2 (Commercial x Piau) animals were weighted at birth, 21, 42, 63, 77, 105 and 150 days in life. The Logistic model has presented the best fit based on DIC (Deviance Information Criterion). Thus, the samples from marginal posterior distributions for the differences between the parameters estimates of Logistic model have indicated that the maturity weight of males with heterozygous genotypes ([Hal.sup.Nn]) was superior to males with homozygous genotypes ([Hal.sup.NN]). In order to realize a comparison with the traditional methodology, the frequentist approach based on two distinct steps also was used, but there was not identified significant differences between growth curve parameter estimates from each group (combinations of halothane genotypes and sex). Key words: improvement, nonlinear models, pig stress syndrome. Para avaliar a influencia do gene halotano sobre a curva de crescimento de suinos, bem como sua interacao com o sexo do animal, foi proposta uma modelagem hierarquica Bayesiana. Nesta abordagem, os parametros dos modelos naolineares de crescimento (Logistico, Gompertz e von Bertalanffy) foram estimados conjuntamente com os efeitos de sexo e genotipos do gene halotano. Foram utilizados 344 animais F2(Comercial x Piau) pesados ao nascer, aos 21, 42, 63, 77, 105 e 150 dias. O modelo Logistico foi aquele que apresentou melhor qualidade de ajuste por apresentar menor DIC (Deviance Information Criterion) que os demais. As amostras das distribuicoes marginais a posteriori para as diferencas entre as estimativas dos parametros do modelo Logistico indicaram que o peso dos machos a idade adulta com genotipo heterozigoto ([Hal.sup.Nn]) foi superior ao dos homozigotos ([Hal.sup.NN]). A titulo de comparacao, tambem foi considerada a abordagem frequentista tradicional, baseada em dois passos distintos, a qual, por apresentar um menor poder de discernimento estatistico, nao mostrou diferencas significativas. Palavras-chave: melhoramento, modelos nao-lineares, sindrome do estresse suino.</description><identifier>ISSN: 0103-8478</identifier><identifier>DOI: 10.1590/0103-8478cr20131278</identifier><language>spa</language><publisher>Universidade Federal de Santa Maria</publisher><ispartof>Ciência rural, 2014-10, Vol.44 (10), p.1853</ispartof><rights>COPYRIGHT 2014 Universidade Federal de Santa Maria</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>de Macedo, Leandro Roberto</creatorcontrib><creatorcontrib>e Silva, Fabyano Fonseca</creatorcontrib><creatorcontrib>Cirillo, Marcelo Angelo</creatorcontrib><creatorcontrib>Nascimento, Moyses</creatorcontrib><creatorcontrib>Paixao, Debora Ma</creatorcontrib><creatorcontrib>Guimaraes, Simone Eliza Facioni</creatorcontrib><creatorcontrib>Lopes, Paulo Savio</creatorcontrib><creatorcontrib>dos Santos, Jussara Aparecida</creatorcontrib><creatorcontrib>Azevedo, Camila Ferreira</creatorcontrib><title>Hierarchical Bayesian modeling for the evaluation of growth curves of pigs genotyped for the halothane gene/Modelagem hierarquica bayesiana na avaliacao de curvas de crescimento de suinos genotipados para o gene halotano</title><title>Ciência rural</title><description>A hierarchical Bayesian modeling was used to evaluate the influence of halothane gene and its interaction with sex on pig's growth curves. Under this approach, the parameters from growth models (Logistic, Gompertz and von Bertalanffy) were estimated jointly with the effects of halothane gene and sex. A total of 344 F2 (Commercial x Piau) animals were weighted at birth, 21, 42, 63, 77, 105 and 150 days in life. The Logistic model has presented the best fit based on DIC (Deviance Information Criterion). Thus, the samples from marginal posterior distributions for the differences between the parameters estimates of Logistic model have indicated that the maturity weight of males with heterozygous genotypes ([Hal.sup.Nn]) was superior to males with homozygous genotypes ([Hal.sup.NN]). In order to realize a comparison with the traditional methodology, the frequentist approach based on two distinct steps also was used, but there was not identified significant differences between growth curve parameter estimates from each group (combinations of halothane genotypes and sex). Key words: improvement, nonlinear models, pig stress syndrome. Para avaliar a influencia do gene halotano sobre a curva de crescimento de suinos, bem como sua interacao com o sexo do animal, foi proposta uma modelagem hierarquica Bayesiana. Nesta abordagem, os parametros dos modelos naolineares de crescimento (Logistico, Gompertz e von Bertalanffy) foram estimados conjuntamente com os efeitos de sexo e genotipos do gene halotano. Foram utilizados 344 animais F2(Comercial x Piau) pesados ao nascer, aos 21, 42, 63, 77, 105 e 150 dias. O modelo Logistico foi aquele que apresentou melhor qualidade de ajuste por apresentar menor DIC (Deviance Information Criterion) que os demais. As amostras das distribuicoes marginais a posteriori para as diferencas entre as estimativas dos parametros do modelo Logistico indicaram que o peso dos machos a idade adulta com genotipo heterozigoto ([Hal.sup.Nn]) foi superior ao dos homozigotos ([Hal.sup.NN]). A titulo de comparacao, tambem foi considerada a abordagem frequentista tradicional, baseada em dois passos distintos, a qual, por apresentar um menor poder de discernimento estatistico, nao mostrou diferencas significativas. Palavras-chave: melhoramento, modelos nao-lineares, sindrome do estresse suino.</description><issn>0103-8478</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid/><recordid>eNqVjc1OwzAQhH0AifLzBFz2BdraSSDpERCoF27c0eJskkWJN9hOUd-VhyEJUe9IK-1oRjOfUrdGb8zdTm-10em6yPLC-kSb1CR5caZWJ_dCXYbwqXWSp1m2Uj97Jo_eNmyxhUc8UmB00ElJLbsaKvEQGwI6YDtgZHEgFdRevmMDdvAHCpPRcx2gJifx2FN5ajXYSmzQ0ZTR9nVaxZo6aGbq1zBS4WOBIoyHI4fRokBJ8z6GWXkKljtycQ7CwE4WIPdYjrpHjyAz5w-LTq7VeYVtoJvlX6nNy_Pb035dY0vv7CqJfmRZLKljK44qHv2HLDM7Y_L7Iv134RcTeIFv</recordid><startdate>20141001</startdate><enddate>20141001</enddate><creator>de Macedo, Leandro Roberto</creator><creator>e Silva, Fabyano Fonseca</creator><creator>Cirillo, Marcelo Angelo</creator><creator>Nascimento, Moyses</creator><creator>Paixao, Debora Ma</creator><creator>Guimaraes, Simone Eliza Facioni</creator><creator>Lopes, Paulo Savio</creator><creator>dos Santos, Jussara Aparecida</creator><creator>Azevedo, Camila Ferreira</creator><general>Universidade Federal de Santa Maria</general><scope/></search><sort><creationdate>20141001</creationdate><title>Hierarchical Bayesian modeling for the evaluation of growth curves of pigs genotyped for the halothane gene/Modelagem hierarquica bayesiana na avaliacao de curvas de crescimento de suinos genotipados para o gene halotano</title><author>de Macedo, Leandro Roberto ; e Silva, Fabyano Fonseca ; Cirillo, Marcelo Angelo ; Nascimento, Moyses ; Paixao, Debora Ma ; Guimaraes, Simone Eliza Facioni ; Lopes, Paulo Savio ; dos Santos, Jussara Aparecida ; Azevedo, Camila Ferreira</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-gale_infotracacademiconefile_A4419117683</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>spa</language><creationdate>2014</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>de Macedo, Leandro Roberto</creatorcontrib><creatorcontrib>e Silva, Fabyano Fonseca</creatorcontrib><creatorcontrib>Cirillo, Marcelo Angelo</creatorcontrib><creatorcontrib>Nascimento, Moyses</creatorcontrib><creatorcontrib>Paixao, Debora Ma</creatorcontrib><creatorcontrib>Guimaraes, Simone Eliza Facioni</creatorcontrib><creatorcontrib>Lopes, Paulo Savio</creatorcontrib><creatorcontrib>dos Santos, Jussara Aparecida</creatorcontrib><creatorcontrib>Azevedo, Camila Ferreira</creatorcontrib><jtitle>Ciência rural</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>de Macedo, Leandro Roberto</au><au>e Silva, Fabyano Fonseca</au><au>Cirillo, Marcelo Angelo</au><au>Nascimento, Moyses</au><au>Paixao, Debora Ma</au><au>Guimaraes, Simone Eliza Facioni</au><au>Lopes, Paulo Savio</au><au>dos Santos, Jussara Aparecida</au><au>Azevedo, Camila Ferreira</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Hierarchical Bayesian modeling for the evaluation of growth curves of pigs genotyped for the halothane gene/Modelagem hierarquica bayesiana na avaliacao de curvas de crescimento de suinos genotipados para o gene halotano</atitle><jtitle>Ciência rural</jtitle><date>2014-10-01</date><risdate>2014</risdate><volume>44</volume><issue>10</issue><spage>1853</spage><pages>1853-</pages><issn>0103-8478</issn><abstract>A hierarchical Bayesian modeling was used to evaluate the influence of halothane gene and its interaction with sex on pig's growth curves. Under this approach, the parameters from growth models (Logistic, Gompertz and von Bertalanffy) were estimated jointly with the effects of halothane gene and sex. A total of 344 F2 (Commercial x Piau) animals were weighted at birth, 21, 42, 63, 77, 105 and 150 days in life. The Logistic model has presented the best fit based on DIC (Deviance Information Criterion). Thus, the samples from marginal posterior distributions for the differences between the parameters estimates of Logistic model have indicated that the maturity weight of males with heterozygous genotypes ([Hal.sup.Nn]) was superior to males with homozygous genotypes ([Hal.sup.NN]). In order to realize a comparison with the traditional methodology, the frequentist approach based on two distinct steps also was used, but there was not identified significant differences between growth curve parameter estimates from each group (combinations of halothane genotypes and sex). Key words: improvement, nonlinear models, pig stress syndrome. Para avaliar a influencia do gene halotano sobre a curva de crescimento de suinos, bem como sua interacao com o sexo do animal, foi proposta uma modelagem hierarquica Bayesiana. Nesta abordagem, os parametros dos modelos naolineares de crescimento (Logistico, Gompertz e von Bertalanffy) foram estimados conjuntamente com os efeitos de sexo e genotipos do gene halotano. Foram utilizados 344 animais F2(Comercial x Piau) pesados ao nascer, aos 21, 42, 63, 77, 105 e 150 dias. O modelo Logistico foi aquele que apresentou melhor qualidade de ajuste por apresentar menor DIC (Deviance Information Criterion) que os demais. As amostras das distribuicoes marginais a posteriori para as diferencas entre as estimativas dos parametros do modelo Logistico indicaram que o peso dos machos a idade adulta com genotipo heterozigoto ([Hal.sup.Nn]) foi superior ao dos homozigotos ([Hal.sup.NN]). A titulo de comparacao, tambem foi considerada a abordagem frequentista tradicional, baseada em dois passos distintos, a qual, por apresentar um menor poder de discernimento estatistico, nao mostrou diferencas significativas. Palavras-chave: melhoramento, modelos nao-lineares, sindrome do estresse suino.</abstract><pub>Universidade Federal de Santa Maria</pub><doi>10.1590/0103-8478cr20131278</doi></addata></record>
fulltext fulltext
identifier ISSN: 0103-8478
ispartof Ciência rural, 2014-10, Vol.44 (10), p.1853
issn 0103-8478
language spa
recordid cdi_gale_infotracacademiconefile_A441911768
source SciELO Brazil; Alma/SFX Local Collection
title Hierarchical Bayesian modeling for the evaluation of growth curves of pigs genotyped for the halothane gene/Modelagem hierarquica bayesiana na avaliacao de curvas de crescimento de suinos genotipados para o gene halotano
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-23T19%3A56%3A28IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Hierarchical%20Bayesian%20modeling%20for%20the%20evaluation%20of%20growth%20curves%20of%20pigs%20genotyped%20for%20the%20halothane%20gene/Modelagem%20hierarquica%20bayesiana%20na%20avaliacao%20de%20curvas%20de%20crescimento%20de%20suinos%20genotipados%20para%20o%20gene%20halotano&rft.jtitle=Ci%C3%AAncia%20rural&rft.au=de%20Macedo,%20Leandro%20Roberto&rft.date=2014-10-01&rft.volume=44&rft.issue=10&rft.spage=1853&rft.pages=1853-&rft.issn=0103-8478&rft_id=info:doi/10.1590/0103-8478cr20131278&rft_dat=%3Cgale%3EA441911768%3C/gale%3E%3Cgrp_id%3Ecdi_FETCH-gale_infotracacademiconefile_A4419117683%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_galeid=A441911768&rfr_iscdi=true