| Registro completo |
| Provedor de dados: |
Ciência Rural
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| País: |
Brazil
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| Título: |
Chanter model: nonlinear modeling of the fruit growth of cocoa
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| Autores: |
Silva,Pollyane Vieira da
Savian,Taciana Villela
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| Data: |
2019-01-01
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| Ano: |
2019
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| Palavras-chave: |
Nonlinear regression
Chanter model
Nonlinearity and cocoa fruits measures
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| Resumo: |
ABSTRACT: The growth of plants and animals can be described through a growth curve. This curve is given by the equation of a nonlinear model, such as the Logistic model and the Gompertz model. The objective of this study was to adjust the Chanter model, as well as Logistic and Gompertz, using a set of cocoa (clone Sial-105) fruit whose length and diameter measurements were evaluated from 30 to 180 days after pollination, every 15 days. The Chanter model is a hybrid between the Logistic model and Gompertz model whose parameters can be interpreted similarly. A comparison of the quality of fit between the models was made using the following statistical measures: the Akaike’s information criterion (AIC), the Akaike’s weights criterion, Bayesian information criterion (BIC), residual standard deviation (RSD),the adjusted coefficient of determination (R²aj) and the measures of non-linearity Box’s bias and curvature of Bates and Watts. It was verified that the Chanter model is the most suitable one among the studied models for modeling the cocoa data.
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| Tipo: |
Info:eu-repo/semantics/article
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| Idioma: |
Inglês
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| Identificador: |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782019001100407
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| Editor: |
Universidade Federal de Santa Maria
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| Relação: |
10.1590/0103-8478cr20190409
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| Formato: |
text/html
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| Fonte: |
Ciência Rural v.49 n.11 2019
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| Direitos: |
info:eu-repo/semantics/openAccess
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