Parametrization of the Davis Growth Model using data of crossbred Zebu cattle

Detalhes bibliográficos
Autor(a) principal: Biase, Adriele Giaretta
Data de Publicação: 2017
Outros Autores: Dias, Carlos Tadeu dos Santos, Barioni, Luís Gustavo, Albertini, Tiago Zanett, Martorano, Lucieta Guerreiro, Oltjen, James W., Lanna, Dante Pazzanese Duarte, Oliveira, Patrícia Perondi Anchão, Medeiros, Sérgio Raposo de, Torres Júnior, Roberto Augusto de Almeida
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Scientia Agrícola (Online)
Texto Completo: https://www.revistas.usp.br/sa/article/view/130919
Resumo: The system of differential equations proposed by Oltjen et al. [1986, named Davis Growth Model (DGM)] to represent cattle growth has been parameterized with data from Bos taurus (British) and Bos indicus (Nellore) breeds. The DGM has been successfully used for simulation and decision support in the United States. However, the effect of about 30 years of genetic improvement and the use of different breeds may affect the model parameter values, which also may need to be re-estimated for crossbred animals. The aim of this study was to estimate parameter values and confidence intervals for the DGM with growth and body composition data from Zebu crossbred animals. Confidence intervals and asymptotic distribution were generated through nonparametric bootstrap with data from a field experiment conducted in Brazil. The parameters showed normal probability distribution for most scenarios. The rate constant for deoxyribonucleic acid (DNA) synthesis had a minimum increase of 156 % and the maximum of 389 %, compared to the original values and the maintenance requirement had a minimum increase of 126 % and maximum of 160 % compared to the original values. Lower limits of 95 % confidence intervals for the parameters related to maintenance and protein accretion rates were higher than the original estimates of the DGM, evidencing genetic differences of the Zebu crossbred animals in relation to the original DGM parameters.
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spelling Parametrization of the Davis Growth Model using data of crossbred Zebu cattleasymptotic distributioncalibratingcattle growthnonparametric bootstrapordinary differential equationsThe system of differential equations proposed by Oltjen et al. [1986, named Davis Growth Model (DGM)] to represent cattle growth has been parameterized with data from Bos taurus (British) and Bos indicus (Nellore) breeds. The DGM has been successfully used for simulation and decision support in the United States. However, the effect of about 30 years of genetic improvement and the use of different breeds may affect the model parameter values, which also may need to be re-estimated for crossbred animals. The aim of this study was to estimate parameter values and confidence intervals for the DGM with growth and body composition data from Zebu crossbred animals. Confidence intervals and asymptotic distribution were generated through nonparametric bootstrap with data from a field experiment conducted in Brazil. The parameters showed normal probability distribution for most scenarios. The rate constant for deoxyribonucleic acid (DNA) synthesis had a minimum increase of 156 % and the maximum of 389 %, compared to the original values and the maintenance requirement had a minimum increase of 126 % and maximum of 160 % compared to the original values. Lower limits of 95 % confidence intervals for the parameters related to maintenance and protein accretion rates were higher than the original estimates of the DGM, evidencing genetic differences of the Zebu crossbred animals in relation to the original DGM parameters.Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz2017-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/sa/article/view/13091910.1590/1678-992x-2015-0284Scientia Agricola; v. 74 n. 1 (2017); 8-17Scientia Agricola; Vol. 74 Núm. 1 (2017); 8-17Scientia Agricola; Vol. 74 No. 1 (2017); 8-171678-992X0103-9016reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/sa/article/view/130919/127378Copyright (c) 2017 Scientia Agricolainfo:eu-repo/semantics/openAccessBiase, Adriele GiarettaDias, Carlos Tadeu dos SantosBarioni, Luís GustavoAlbertini, Tiago ZanettMartorano, Lucieta GuerreiroOltjen, James W.Lanna, Dante Pazzanese DuarteOliveira, Patrícia Perondi AnchãoMedeiros, Sérgio Raposo deTorres Júnior, Roberto Augusto de Almeida2017-06-12T11:44:51Zoai:revistas.usp.br:article/130919Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2017-06-12T11:44:51Scientia Agrícola (Online) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Parametrization of the Davis Growth Model using data of crossbred Zebu cattle
title Parametrization of the Davis Growth Model using data of crossbred Zebu cattle
spellingShingle Parametrization of the Davis Growth Model using data of crossbred Zebu cattle
Biase, Adriele Giaretta
asymptotic distribution
calibrating
cattle growth
nonparametric bootstrap
ordinary differential equations
title_short Parametrization of the Davis Growth Model using data of crossbred Zebu cattle
title_full Parametrization of the Davis Growth Model using data of crossbred Zebu cattle
title_fullStr Parametrization of the Davis Growth Model using data of crossbred Zebu cattle
title_full_unstemmed Parametrization of the Davis Growth Model using data of crossbred Zebu cattle
title_sort Parametrization of the Davis Growth Model using data of crossbred Zebu cattle
author Biase, Adriele Giaretta
author_facet Biase, Adriele Giaretta
Dias, Carlos Tadeu dos Santos
Barioni, Luís Gustavo
Albertini, Tiago Zanett
Martorano, Lucieta Guerreiro
Oltjen, James W.
Lanna, Dante Pazzanese Duarte
Oliveira, Patrícia Perondi Anchão
Medeiros, Sérgio Raposo de
Torres Júnior, Roberto Augusto de Almeida
author_role author
author2 Dias, Carlos Tadeu dos Santos
Barioni, Luís Gustavo
Albertini, Tiago Zanett
Martorano, Lucieta Guerreiro
Oltjen, James W.
Lanna, Dante Pazzanese Duarte
Oliveira, Patrícia Perondi Anchão
Medeiros, Sérgio Raposo de
Torres Júnior, Roberto Augusto de Almeida
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Biase, Adriele Giaretta
Dias, Carlos Tadeu dos Santos
Barioni, Luís Gustavo
Albertini, Tiago Zanett
Martorano, Lucieta Guerreiro
Oltjen, James W.
Lanna, Dante Pazzanese Duarte
Oliveira, Patrícia Perondi Anchão
Medeiros, Sérgio Raposo de
Torres Júnior, Roberto Augusto de Almeida
dc.subject.por.fl_str_mv asymptotic distribution
calibrating
cattle growth
nonparametric bootstrap
ordinary differential equations
topic asymptotic distribution
calibrating
cattle growth
nonparametric bootstrap
ordinary differential equations
description The system of differential equations proposed by Oltjen et al. [1986, named Davis Growth Model (DGM)] to represent cattle growth has been parameterized with data from Bos taurus (British) and Bos indicus (Nellore) breeds. The DGM has been successfully used for simulation and decision support in the United States. However, the effect of about 30 years of genetic improvement and the use of different breeds may affect the model parameter values, which also may need to be re-estimated for crossbred animals. The aim of this study was to estimate parameter values and confidence intervals for the DGM with growth and body composition data from Zebu crossbred animals. Confidence intervals and asymptotic distribution were generated through nonparametric bootstrap with data from a field experiment conducted in Brazil. The parameters showed normal probability distribution for most scenarios. The rate constant for deoxyribonucleic acid (DNA) synthesis had a minimum increase of 156 % and the maximum of 389 %, compared to the original values and the maintenance requirement had a minimum increase of 126 % and maximum of 160 % compared to the original values. Lower limits of 95 % confidence intervals for the parameters related to maintenance and protein accretion rates were higher than the original estimates of the DGM, evidencing genetic differences of the Zebu crossbred animals in relation to the original DGM parameters.
publishDate 2017
dc.date.none.fl_str_mv 2017-02-01
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://www.revistas.usp.br/sa/article/view/130919
10.1590/1678-992x-2015-0284
url https://www.revistas.usp.br/sa/article/view/130919
identifier_str_mv 10.1590/1678-992x-2015-0284
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.revistas.usp.br/sa/article/view/130919/127378
dc.rights.driver.fl_str_mv Copyright (c) 2017 Scientia Agricola
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2017 Scientia Agricola
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz
publisher.none.fl_str_mv Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz
dc.source.none.fl_str_mv Scientia Agricola; v. 74 n. 1 (2017); 8-17
Scientia Agricola; Vol. 74 Núm. 1 (2017); 8-17
Scientia Agricola; Vol. 74 No. 1 (2017); 8-17
1678-992X
0103-9016
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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