Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1158952
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dc.contributor.authorCAMARGO JÚNIOR, R. N. C.eng
dc.contributor.authorARAÚJO, C. V. deeng
dc.contributor.authorSILVA, W. C. daeng
dc.contributor.authorARAÚJO, S. I. deeng
dc.contributor.authorLÔBO, R. B.eng
dc.contributor.authorNAKABASHI, L. R. M.eng
dc.contributor.authorCASTRO, L. M. deeng
dc.contributor.authorMENEZES, F. L.eng
dc.contributor.authorSILVA, A. G. M. eeng
dc.contributor.authorSILVA, L. K. X.eng
dc.contributor.authorSILVA, J. A. R. daeng
dc.contributor.authorBARBOSA, A. V. C.eng
dc.contributor.authorMARQUES, J. R. F.eng
dc.contributor.authorLOURENÇO JÚNIOR, J. deeng
dc.date.accessioned2023-11-30T17:33:48Z-
dc.date.available2023-11-30T17:33:48Z-
dc.date.created2023-11-30
dc.date.issued2023
dc.identifier.citationAnimals, v. 13, n. 1, Article 101, 2023.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1158952-
dc.descriptionBody 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.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectRegressão não-linear
dc.titleMixed models in nonlinear regression for description of the growth of Nelore Cattle.
dc.typeArtigo de periódico
dc.subject.thesagroGado
dc.subject.thesagroGado Nelore
dc.subject.thesagroCrescimento
riaa.ainfo.id1158952
riaa.ainfo.lastupdate2023-11-30
dc.identifier.doihttps://doi.org/10.3390/ani13010101
dc.contributor.institutionRAIMUNDO NONATO COLARES CAMARGO JÚNIOR, UNIVERSIDADE FEDERAL DO PARÁeng
dc.contributor.institutionCLÁUDIO VIEIRA DE ARAÚJO, UNIVERSIDADE FEDERAL DO MATO GROSSOeng
dc.contributor.institutionWELLIGTON CONCEIÇÃO DA SILVA, UNIVERSIDADE FEDERAL DO PARÁeng
dc.contributor.institutionSIMONE INOE DE ARAÚJO, UNIVERSIDADE FEDERAL DE MATO GROSSOeng
dc.contributor.institutionRAYSILDO BARBOSA LÔBO, ASSOCIAÇÃO NACIONAL DE CRIADORES E PESQUISADORESeng
dc.contributor.institutionLÍLIAN ROBERTA MATIMOTO NAKABASHI, ASSOCIAÇÃO NACIONAL DE CRIADORES E PESQUISADORESeng
dc.contributor.institutionLETÍCIA MENDES DE CASTRO, ASSOCIAÇÃO NACIONAL DE CRIADORES E PESQUISADORESeng
dc.contributor.institutionFLÁVIO LUIZ MENEZES, UNIVERSIDADE FEDERAL DO MATO GROSSOeng
dc.contributor.institutionANDRÉ GUIMARÃES MACIEL E SILVA, UNIVERSIDADE FEDERAL DO PARÁeng
dc.contributor.institutionLÍLIAN KÁTIA XIMENES SILVA, UNIVERSIDADE FEDERAL DO PARÁeng
dc.contributor.institutionJAMILE ANDRÉA RODRIGUES DA SILVA, UNIVERSIDADE FEDERAL RURAL DA AMAZÔNIAeng
dc.contributor.institutionANTÔNIO VINICIUS CORREA BARBOSA, UNIVERSIDADE FEDERAL RURAL DA AMAZÔNIAeng
dc.contributor.institutionJOSE RIBAMAR FELIPE MARQUES, CPATUeng
dc.contributor.institutionJOSÉ DE BRITO LOURENÇO JÚNIOR, UNIVERSIDADE FEDERAL DO PARÁ.eng
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