Please use this identifier to cite or link to this item:
Title: Ajuste de modelos não lineares ao crescimento e ganho de massa de frutos de pequi
Other Titles: Adjust of non-linear models to gowth data and weight gain of pequi fruits
Authors: Morais, Augusto Ramalho de
Alvarenga, Ângelo Albérico
Muniz, Joel Augusto
Keywords: Caryocar brasiliense
Estimação de parâmetro
Regressão não linear
Curva de crescimento
Crescimento de fruto
Parameter estimation
Nonlinear regression
Growth curve
Fruit development
Issue Date: 25-Feb-2016
Publisher: Universidade Federal de Lavras
Citation: MATTOS, R. W. P. de. Ajuste de modelos não lineares ao crescimento e ganho de massa de frutos de pequi. 2016. 74 p. Dissertação (Mestrado em Estatística e Experimentação Agropecuária)-Universidade Federal de Lavras, Lavras, 2015.
Abstract: The pequi, native fruit of the Cerrado, presents alimentary use with great potential for expansion in Brazilian cuisine, being appreciated for its pleasing color, aroma and flavor peculiarities. The specie is widely distributed in the Brazilian cerrado taking important role in the lives of the inhabitants of this region, economically, with the sale of the fruit in natura, or even for their own consumption. In this project were evaluated the use of the nonlinear models Brody, Gompertz, Logistic and von Bertalanffy considering independent errors and first order autoregressive errors, in the growth description of the pequi fruit in diameter and mass increase over its development. Brody model has not converged for the pequi fruit weight gain data. Gompertz, Logistic and von Bertalanffy models obtained good fits, and the Gompertz model obtained a better fit to mass increase data according to the adjustment quality evaluators. Regarding the increase in longitudinal diameter and transverse diameter, all models converged and achieved good adjustments. The von Bertalanffy model was considered the most suitable in both cases according to the adjustment quality evaluators.
Appears in Collections:DES - Estatística e Experimentação Agropecuária - Mestrado (Dissertações)

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.