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Title: Description of blackberry fruit growth by nonlinear regression models
Other Titles: Descrição do crescimento de frutos de amora-preta por modelos de regressão não linear
Keywords: Regression analysis
Model Selection
Fit quality
Small fruits
Fruit development
Análise de regressão
Seleção de modelos
Qualidade de ajuste
Pequenas frutas
Comportamento sigmoide
Desenvolvimento de frutos
Issue Date: Mar-2020
Publisher: Sociedade Brasileira de Fruticultura
Citation: SILVA, E. M. da et al. Description of blackberry fruit growth by nonlinear regression models. Revista Brasileira de Fruticultura, Jaboticabal, v. 42, n. 2, 2020. DOI:
Abstract: Blackberry is a small fruit with several properties beneficial to human health and its cultivation is an alternative for small producers due to its fast and high financial return. Studying the growth of fruits over time is extremely important to understand their development, helping in the most appropriate crop management, avoiding post-harvest losses, which is one of the aggravating factors of blackberry cultivation, being a short shelf life fruit. Thus, growth curves are highlighted in this type of study and modeling through statistical models helps understanding how such growth occurs. Data from this study were obtained from an experiment conducted at the Federal University of Lavras in 2015. The aim of this study was to adjust nonlinear, double Logistic and double Gompertz models to describe the diameter growth of four blackberry cultivars (‘Brazos’, ‘Choctaw’, ‘Guarani’ and ‘Tupy’). Estimations of parameters were obtained using the least squares method and the Gauss-Newton algorithm, with the “nls” and “glns” functions of the R statistical software. The comparison of adjustments was made by the Akaike information criterion (AICc), residual standard deviation (RSD) and adjusted determination coefficient (R2 aj). The models satisfactorily described data, choosing the Logistic double model for ‘Brazos’ and ‘Guarani’ cultivars and the double Gompertz model for ‘Tupy’ and ‘Choctaw’ cultivars.
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