Critical points on growth curves in autoregressive and mixed models
Zambello de Pinho, Sheila; Raquel de Carvalho, Lídia; Maria Mischan, Martha; Raimundo de Souza Passos, José.
Sci. Agric.;
71(1): 30-37, Jan-Fev. 2014. tab, graf
Artigo
em Inglês
| VETINDEX
| ID: vti-27826
Resumo
Adjusting autoregressive and mixed models to growth data fits discontinuous functions, which makes it difficult to determine critical points. In this study we propose a new approach to determine the critical stability point of cattle growth using a first-order autoregressive model and a mixed model with random asymptote, using the deterministic portion of the models. Three functions were compared: logistic, Gompertz, and Richards. The Richards autoregressive model yielded the best fit, but the critical growth values were adjusted very early, and for this purpose the Gompertz model was more appropriate.(AU)
Biblioteca responsável:
BR68.1
Localização: BR68.1
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