Mixed Models in Nonlinear Regression for Description of the Growth of Nelore Cattle
2022
Raimundo Nonato Colares Camargo Júnior | Cláudio Vieira de Araújo | Welligton Conceição da Silva | Simone Inoe de Araújo | Raysildo Barbosa Lôbo | Lílian Roberta Matimoto Nakabashi | Letícia Mendes de Castro | Flávio Luiz Menezes | André Guimarães Maciel e Silva | Lílian Kátia Ximenes Silva | Jamile Andréa Rodrigues da Silva | Antônio Vinicius Correa Barbosa | José Ribamar Felipe Marques | José de Brito Lourenço Júnior
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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