Parametrization of the Davis Growth Model using data of crossbred Zebu cattle
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , , , , |
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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Scientia Agrícola (Online) |
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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 |
_version_ |
1800222792910635008 |