| Registro completo |
| Provedor de dados: |
Ciência Rural
|
| País: |
Brazil
|
| Título: |
Fitting nonlinear autoregressive models to describe coffee seed germination
|
| Autores: |
Sousa,Iábita Fabiana
Kunzle Neto,Johan Eugen
Muniz,Joel Augusto
Guimarães,Renato Mendes
Savian,Taciana Villela
Muniz,Fabiana Rezende
|
| Data: |
2014-11-01
|
| Ano: |
2014
|
| Palavras-chave: |
Growth models
Autocorrelated errors
Nonlinear regression
Germination potential
Regression and correlation
|
| 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
|
| Tipo: |
Info:eu-repo/semantics/article
|
| Idioma: |
Inglês
|
| Identificador: |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782014001102016
|
| Editor: |
Universidade Federal de Santa Maria
|
| Relação: |
10.1590/0103-8478cr20131341
|
| Formato: |
text/html
|
| Fonte: |
Ciência Rural v.44 n.11 2014
|
| Direitos: |
info:eu-repo/semantics/openAccess
|
