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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 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ARTIGO_Fitting nonlinear autoregressive models to describe coffee seed germination.pdf | 432,72 kB | Adobe PDF | View/Open |
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