Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/38209
Title: Fitting nonlinear autoregressive models to describe coffee seed germination
Other Titles: Ajuste de modelos não lineares autorregressivos na descrição da germinação se sementes de café
Keywords: Growth models
Autocorrelated errors
Nonlinear regression
Germination potential
Modelos de crescimento
Erros autocorrelacionados
Regressão não linear
Potencial de germinação
Issue Date: Nov-2014
Publisher: Universidade Federal de Santa Maria
Citation: SOUSA, I. F. et al. Fitting nonlinear autoregressive models to describe coffee seed germination. Ciência Rural, Santa Maria, v. 44, n. 11, p. 2016-2021, Nov. 2014.
Abstract: 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
URI: http://repositorio.ufla.br/jspui/handle/1/38209
Appears in Collections:DEX - Artigos publicados em periódicos

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