Mixed models in nonlinear regression for description of the growth of Nelore Cattle.
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , , , , , , , , , |
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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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/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.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
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 |
institution |
EMBRAPA |
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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1817695687817560064 |