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Title: | Mixed models in nonlinear regression for description of the growth of Nelore Cattle. |
Authors: | 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 ![]() ![]() |
Affiliation: | 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. |
Date Issued: | 2023 |
Citation: | Animals, v. 13, n. 1, Article 101, 2023. |
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. |
Thesagro: | Gado Gado Nelore Crescimento |
Keywords: | Regressão não-linear |
DOI: | https://doi.org/10.3390/ani13010101 |
Type of Material: | Artigo de periódico |
Access: | openAccess |
Appears in Collections: | Artigo em periódico indexado (CPATU)![]() ![]() |
Files in This Item:
File | Description | Size | Format | |
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Mixed-Models.pdf | 2.4 MB | Adobe PDF | ![]() View/Open |