Fitting nonlinear autoregressive models to describe coffee seed germination

Ciência Rural

Muniz, Fabiana Rezende²  Sousa, Iábita Fabiana²  Savian, Taciana Villela²  Kunzle Neto, Johan Eugen³  Muniz, Joel Augusto¹  Guimarães, Renato Mendes³ 

[1] UFLA, Lavras, Brazil;Universidade de São Paulo, Piracicaba, Brazil;Universidade Federal de Lavras, Lavras, Brazil

关键词: growth models;    Autocorrelated errors;    Nonlinear regression;    Germination potential;    Regression and correlationRESUMOA germinação acumulada de sementes de café tem um comportamento longitudinal matematicamente caracterizado por um modelo sigmoidal;   

DOI  :  10.1590/0103-8478cr20131341

学科分类：农业科学（综合）

来源: Universidade Federal de Santa Maria * Centro de Ciencias Rurais

【 摘 要 】

Cumulative germination of coffee has a longitudinal behavior mathematically characterized by a sigmoidal model. In the seed germination evaluation, the study of the germination curve may contribute to better understanding of this process. The aim of this study was to evaluate the goodness of fit of Logistic and Gompertz models, with independent and first-order autoregressive errors structure, AR (1), in the description of coffee (Coffea arabica L.) line Catuai vermelho IAC 99 germination, at five different potential germination. The data used were from an experiment conducted in 2011 at the Seed Analysis Laboratory of the Federal University of Lavras. The Logistic and Gompertz nonlinear models were appropriately adjusted to the percentage germination data. The Gompertz model with first-order autoregressive errors structure was the best to describe the germination process

【 授权许可】

Unknown