Mixed models in nonlinear regression for description of the growth of Nelore Cattle.

Detalhes bibliográficos
Autor(a) principal: CAMARGO JÚNIOR, R. N. C.
Data de Publicação: 2023
Outros Autores: ARAÚJO, C. V. de, SILVA, W. C. da, ARAÚJO, S. I. de, LÔBO, R. B., NAKABASHI, L. R. M., CASTRO, L. M. de, MENEZES, F. L., SILVA, A. G. M. e, SILVA, L. K. X., SILVA, J. A. R. da, BARBOSA, A. V. C., MARQUES, J. R. F., LOURENÇO JÚNIOR, J. de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1158952
https://doi.org/10.3390/ani13010101
Resumo: Body weight records were used to characterize the growth curve of Nelore cattle. Body weight was regressed as a function of age, for both sexes, by using nonlinear models through the functions of Brody, Gompertz, Logistic, Richards, Meloun 1, Von Bertalanffy, and Von Bertalanffy. The quality of the model arrangements was evaluated by employing Akaike and Bayesian Schwarz information criteria. The Brody function provided the best adaptations by the evaluators and, considering the asymptotic weight and the maturation rate as random, a reduction in residual variance of 79% for males and 83% for females was obtained in relation to the models under fixed contexts. In males, the absolute and relative growth rates ranged from 0.921 to 0.261 kg/day and 2.39 to 0.08%, respectively. For the same rates, under another approach, females ranged from 0.922 to 0.198 kg/day and 2.55 to 0.06%, respectively. Males showed greater growth acceleration at the beginning of the growth trajectory, being equal to females at 397 days of age and from that age onward they presented lower estimates. The nonlinear regression model approach under the mixed-models context allows reduction of residual variance, increasing model accuracy.
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spelling Mixed models in nonlinear regression for description of the growth of Nelore Cattle.Regressão não-linearGadoGado NeloreCrescimentoBody weight records were used to characterize the growth curve of Nelore cattle. Body weight was regressed as a function of age, for both sexes, by using nonlinear models through the functions of Brody, Gompertz, Logistic, Richards, Meloun 1, Von Bertalanffy, and Von Bertalanffy. The quality of the model arrangements was evaluated by employing Akaike and Bayesian Schwarz information criteria. The Brody function provided the best adaptations by the evaluators and, considering the asymptotic weight and the maturation rate as random, a reduction in residual variance of 79% for males and 83% for females was obtained in relation to the models under fixed contexts. In males, the absolute and relative growth rates ranged from 0.921 to 0.261 kg/day and 2.39 to 0.08%, respectively. For the same rates, under another approach, females ranged from 0.922 to 0.198 kg/day and 2.55 to 0.06%, respectively. Males showed greater growth acceleration at the beginning of the growth trajectory, being equal to females at 397 days of age and from that age onward they presented lower estimates. The nonlinear regression model approach under the mixed-models context allows reduction of residual variance, increasing model accuracy.RAIMUNDO NONATO COLARES CAMARGO JÚNIOR, UNIVERSIDADE FEDERAL DO PARÁCLÁUDIO VIEIRA DE ARAÚJO, UNIVERSIDADE FEDERAL DO MATO GROSSOWELLIGTON CONCEIÇÃO DA SILVA, UNIVERSIDADE FEDERAL DO PARÁSIMONE INOE DE ARAÚJO, UNIVERSIDADE FEDERAL DE MATO GROSSORAYSILDO BARBOSA LÔBO, ASSOCIAÇÃO NACIONAL DE CRIADORES E PESQUISADORESLÍLIAN ROBERTA MATIMOTO NAKABASHI, ASSOCIAÇÃO NACIONAL DE CRIADORES E PESQUISADORESLETÍCIA MENDES DE CASTRO, ASSOCIAÇÃO NACIONAL DE CRIADORES E PESQUISADORESFLÁVIO LUIZ MENEZES, UNIVERSIDADE FEDERAL DO MATO GROSSOANDRÉ GUIMARÃES MACIEL E SILVA, UNIVERSIDADE FEDERAL DO PARÁLÍLIAN KÁTIA XIMENES SILVA, UNIVERSIDADE FEDERAL DO PARÁJAMILE ANDRÉA RODRIGUES DA SILVA, UNIVERSIDADE FEDERAL RURAL DA AMAZÔNIAANTÔNIO VINICIUS CORREA BARBOSA, UNIVERSIDADE FEDERAL RURAL DA AMAZÔNIAJOSE RIBAMAR FELIPE MARQUES, CPATUJOSÉ DE BRITO LOURENÇO JÚNIOR, UNIVERSIDADE FEDERAL DO PARÁ.CAMARGO JÚNIOR, R. N. C.ARAÚJO, C. V. deSILVA, W. C. daARAÚJO, S. I. deLÔBO, R. B.NAKABASHI, L. R. M.CASTRO, L. M. deMENEZES, F. L.SILVA, A. G. M. eSILVA, L. K. X.SILVA, J. A. R. daBARBOSA, A. V. C.MARQUES, J. R. F.LOURENÇO JÚNIOR, J. de2023-11-30T17:33:48Z2023-11-30T17:33:48Z2023-11-302023info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleAnimals, v. 13, n. 1, Article 101, 2023.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1158952https://doi.org/10.3390/ani13010101enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2023-11-30T17:33:48Zoai:www.alice.cnptia.embrapa.br:doc/1158952Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542023-11-30T17:33:48falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542023-11-30T17:33:48Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Mixed models in nonlinear regression for description of the growth of Nelore Cattle.
title Mixed models in nonlinear regression for description of the growth of Nelore Cattle.
spellingShingle Mixed models in nonlinear regression for description of the growth of Nelore Cattle.
CAMARGO JÚNIOR, R. N. C.
Regressão não-linear
Gado
Gado Nelore
Crescimento
title_short Mixed models in nonlinear regression for description of the growth of Nelore Cattle.
title_full Mixed models in nonlinear regression for description of the growth of Nelore Cattle.
title_fullStr Mixed models in nonlinear regression for description of the growth of Nelore Cattle.
title_full_unstemmed Mixed models in nonlinear regression for description of the growth of Nelore Cattle.
title_sort Mixed models in nonlinear regression for description of the growth of Nelore Cattle.
author CAMARGO JÚNIOR, R. N. C.
author_facet CAMARGO JÚNIOR, R. N. C.
ARAÚJO, C. V. de
SILVA, W. C. da
ARAÚJO, S. I. de
LÔBO, R. B.
NAKABASHI, L. R. M.
CASTRO, L. M. de
MENEZES, F. L.
SILVA, A. G. M. e
SILVA, L. K. X.
SILVA, J. A. R. da
BARBOSA, A. V. C.
MARQUES, J. R. F.
LOURENÇO JÚNIOR, J. de
author_role author
author2 ARAÚJO, C. V. de
SILVA, W. C. da
ARAÚJO, S. I. de
LÔBO, R. B.
NAKABASHI, L. R. M.
CASTRO, L. M. de
MENEZES, F. L.
SILVA, A. G. M. e
SILVA, L. K. X.
SILVA, J. A. R. da
BARBOSA, A. V. C.
MARQUES, J. R. F.
LOURENÇO JÚNIOR, J. de
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv RAIMUNDO NONATO COLARES CAMARGO JÚNIOR, UNIVERSIDADE FEDERAL DO PARÁ
CLÁUDIO VIEIRA DE ARAÚJO, UNIVERSIDADE FEDERAL DO MATO GROSSO
WELLIGTON CONCEIÇÃO DA SILVA, UNIVERSIDADE FEDERAL DO PARÁ
SIMONE INOE DE ARAÚJO, UNIVERSIDADE FEDERAL DE MATO GROSSO
RAYSILDO BARBOSA LÔBO, ASSOCIAÇÃO NACIONAL DE CRIADORES E PESQUISADORES
LÍLIAN ROBERTA MATIMOTO NAKABASHI, ASSOCIAÇÃO NACIONAL DE CRIADORES E PESQUISADORES
LETÍCIA MENDES DE CASTRO, ASSOCIAÇÃO NACIONAL DE CRIADORES E PESQUISADORES
FLÁVIO LUIZ MENEZES, UNIVERSIDADE FEDERAL DO MATO GROSSO
ANDRÉ GUIMARÃES MACIEL E SILVA, UNIVERSIDADE FEDERAL DO PARÁ
LÍLIAN KÁTIA XIMENES SILVA, UNIVERSIDADE FEDERAL DO PARÁ
JAMILE ANDRÉA RODRIGUES DA SILVA, UNIVERSIDADE FEDERAL RURAL DA AMAZÔNIA
ANTÔNIO VINICIUS CORREA BARBOSA, UNIVERSIDADE FEDERAL RURAL DA AMAZÔNIA
JOSE RIBAMAR FELIPE MARQUES, CPATU
JOSÉ DE BRITO LOURENÇO JÚNIOR, UNIVERSIDADE FEDERAL DO PARÁ.
dc.contributor.author.fl_str_mv CAMARGO JÚNIOR, R. N. C.
ARAÚJO, C. V. de
SILVA, W. C. da
ARAÚJO, S. I. de
LÔBO, R. B.
NAKABASHI, L. R. M.
CASTRO, L. M. de
MENEZES, F. L.
SILVA, A. G. M. e
SILVA, L. K. X.
SILVA, J. A. R. da
BARBOSA, A. V. C.
MARQUES, J. R. F.
LOURENÇO JÚNIOR, J. de
dc.subject.por.fl_str_mv Regressão não-linear
Gado
Gado Nelore
Crescimento
topic Regressão não-linear
Gado
Gado Nelore
Crescimento
description Body weight records were used to characterize the growth curve of Nelore cattle. Body weight was regressed as a function of age, for both sexes, by using nonlinear models through the functions of Brody, Gompertz, Logistic, Richards, Meloun 1, Von Bertalanffy, and Von Bertalanffy. The quality of the model arrangements was evaluated by employing Akaike and Bayesian Schwarz information criteria. The Brody function provided the best adaptations by the evaluators and, considering the asymptotic weight and the maturation rate as random, a reduction in residual variance of 79% for males and 83% for females was obtained in relation to the models under fixed contexts. In males, the absolute and relative growth rates ranged from 0.921 to 0.261 kg/day and 2.39 to 0.08%, respectively. For the same rates, under another approach, females ranged from 0.922 to 0.198 kg/day and 2.55 to 0.06%, respectively. Males showed greater growth acceleration at the beginning of the growth trajectory, being equal to females at 397 days of age and from that age onward they presented lower estimates. The nonlinear regression model approach under the mixed-models context allows reduction of residual variance, increasing model accuracy.
publishDate 2023
dc.date.none.fl_str_mv 2023-11-30T17:33:48Z
2023-11-30T17:33:48Z
2023-11-30
2023
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Animals, v. 13, n. 1, Article 101, 2023.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1158952
https://doi.org/10.3390/ani13010101
identifier_str_mv Animals, v. 13, n. 1, Article 101, 2023.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1158952
https://doi.org/10.3390/ani13010101
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
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reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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