Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/50672
Título: Bayesian modeling of the coffee tree growth curve
Título(s) alternativo(s): Modelagem bayesiana da curva de crescimento do cafeeiro
Palavras-chave: Residual autocorrelation
Nonlinear models
Logistic model
Brody model
Von Bertalanffy model
Richards model
Autocorrelação residual
Modelos não lineares
Modelo Logístico
Modelo Brody
Modelo Von Bertalanffy
Modelo Richards
Data do documento: Mar-2022
Editor: Universidade Federal de Santa Maria
Citação: PEREIRA, A. A. et al. Bayesian modeling of the coffee tree growth curve. Ciência Rural, Santa Maria, v. 52, n. 9, e20210275, 2022. DOI: https://doi.org/10.1590/0103-8478cr20210275.
Resumo: When modeling growth curves, it should be considered that longitudinal data may show residual autocorrelation, and, if this characteristic is not considered, the results and inferences may be compromised. The Bayesian approach, which considers priori information about studied phenomenon has been shown to be efficient in estimating parameters. However, as it is generally not possible to obtain marginal distributions analytically, it is necessary to use some method, such as the weighted resampling method, to generate samples of these distributions and thus obtain an approximation. Among the advantages of this method, stand out the generation of independent samples and the fact that it is not necessary to evaluate convergence. In this context, the objective of this work research was: to present the Bayesian nonlinear modeling of the coffee tree height growth, irrigated and non-irrigated (NI), considering the residual autocorrelation and the nonlinear Logistic, Brody, von Bertalanffy and Richard models. Among the results, it was found that, for NI plants, the Deviance Information Criterion (DIC) and the Criterion of density Predictive Ordered (CPO), indicated that, among the evaluated models, the Logistic model is the one that best describes the height growth of the coffee tree over time. For irrigated plants, these same criteria indicated the Brody model. Thus, the growth of the non-irrigated and irrigated coffee tree followed different growth patterns, the height of the non-irrigated coffee tree showed sigmoidal growth with maximum growth rate at 726 days after planting and the irrigated coffee tree starts its development with high growth rates that gradually decrease over time.
URI: http://repositorio.ufla.br/jspui/handle/1/50672
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