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BIBTEX RIS

Fitting nonlinear autoregressive models to describe coffee seed germination

2014; UNIVERSIDADE FEDERAL DE SANTA MARIA; Volume: 44; Issue: 11 Linguagem: Inglês

10.1590/0103-8478cr20131341

ISSN

1678-4596

Autores

Iábita Fabiana Sousa, Johan Eugen Kunzle Neto, Joel Augusto Muniz, Renato Mendes Guimarães, Taciana Villela Savian, Fabiana Rezende Muniz,

Tópico(s)

Soil Management and Crop Yield

Resumo

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

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