Description of blackberry fruit growth by nonlinear regression models

Detalhes bibliográficos
Autor(a) principal: Silva, Édipo Menezes da
Data de Publicação: 2020
Outros Autores: Tadeu, Maraísa Hellen, Silva, Victor Ferreira da, Pio, Rafael, Fernandes, Tales Jesus, Muniz, Joel Augusto
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/42732
Resumo: 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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spelling Description of blackberry fruit growth by nonlinear regression modelsDescrição do crescimento de frutos de amora-preta por modelos de regressão não linearRegression analysisModel SelectionFit qualitySigmoidSmall fruitsFruit developmentAnálise de regressãoSeleção de modelosQualidade de ajustePequenas frutasComportamento sigmoideDesenvolvimento de frutosBlackberry 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.A amora-preta é um pequeno fruto com várias propriedades benéficas à saúde humana, e seu cultivo é uma alternativa para os pequenos produtores. Estudar o crescimento de frutos, ao longo do tempo, é extremamente importante para entender seu desenvolvimento, auxiliando no manejo mais adequado da cultura, evitando, por exemplo, perda após a colheita, que é um dos fatores agravantes da amora-preta, por ser um fruto de curto período de prateleira. Sendo assim, as curvas de crescimento ganham destaque, nesse tipo de estudo, e a modelagem, por meio de modelos estatísticos, ajuda a entender como tal crescimento acontece. Conduziu-se este trabalho com o objetivo de ajustar modelos não lineares, duplo Logístico e duplo Gompertz, para descrever o crescimento do diâmetro de quatro cultivares da amora-preta (Brazos, Choctaw, Guarani e Tupy). As estimativas dos parâmetros foram obtidas por meio do método de mínimos quadrados, utilizando o algoritmo de Gauss-Newton, por meio do software R. A comparação dos ajustes foi feitas pelo critério de informação Akaike (AICc), desvio padrão residual (DPR) e coeficiente de determinação ajustado (R2 aj). Os modelos descreveram de forma satisfatória os dados, sendo escolhido o modelo duplo Logístico para as cultivares Brazos e Guarani, e o duplo Gompertz para as cultivares Tupy e Choctaw.Sociedade Brasileira de Fruticultura2020-08-31T17:43:50Z2020-08-31T17:43:50Z2020-03info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfSILVA, 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: https://doi.org/10.1590/0100-29452020177.http://repositorio.ufla.br/jspui/handle/1/42732Revista Brasileira de Fruticulturareponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessSilva, Édipo Menezes daTadeu, Maraísa HellenSilva, Victor Ferreira daPio, RafaelFernandes, Tales JesusMuniz, Joel Augustoeng2020-08-31T17:44:09Zoai:localhost:1/42732Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2020-08-31T17:44:09Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Description of blackberry fruit growth by nonlinear regression models
Descrição do crescimento de frutos de amora-preta por modelos de regressão não linear
title Description of blackberry fruit growth by nonlinear regression models
spellingShingle Description of blackberry fruit growth by nonlinear regression models
Silva, Édipo Menezes da
Regression analysis
Model Selection
Fit quality
Sigmoid
Small fruits
Fruit development
Análise de regressão
Seleção de modelos
Qualidade de ajuste
Pequenas frutas
Comportamento sigmoide
Desenvolvimento de frutos
title_short Description of blackberry fruit growth by nonlinear regression models
title_full Description of blackberry fruit growth by nonlinear regression models
title_fullStr Description of blackberry fruit growth by nonlinear regression models
title_full_unstemmed Description of blackberry fruit growth by nonlinear regression models
title_sort Description of blackberry fruit growth by nonlinear regression models
author Silva, Édipo Menezes da
author_facet Silva, Édipo Menezes da
Tadeu, Maraísa Hellen
Silva, Victor Ferreira da
Pio, Rafael
Fernandes, Tales Jesus
Muniz, Joel Augusto
author_role author
author2 Tadeu, Maraísa Hellen
Silva, Victor Ferreira da
Pio, Rafael
Fernandes, Tales Jesus
Muniz, Joel Augusto
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Silva, Édipo Menezes da
Tadeu, Maraísa Hellen
Silva, Victor Ferreira da
Pio, Rafael
Fernandes, Tales Jesus
Muniz, Joel Augusto
dc.subject.por.fl_str_mv Regression analysis
Model Selection
Fit quality
Sigmoid
Small fruits
Fruit development
Análise de regressão
Seleção de modelos
Qualidade de ajuste
Pequenas frutas
Comportamento sigmoide
Desenvolvimento de frutos
topic Regression analysis
Model Selection
Fit quality
Sigmoid
Small fruits
Fruit development
Análise de regressão
Seleção de modelos
Qualidade de ajuste
Pequenas frutas
Comportamento sigmoide
Desenvolvimento de frutos
description 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.
publishDate 2020
dc.date.none.fl_str_mv 2020-08-31T17:43:50Z
2020-08-31T17:43:50Z
2020-03
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv 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: https://doi.org/10.1590/0100-29452020177.
http://repositorio.ufla.br/jspui/handle/1/42732
identifier_str_mv 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: https://doi.org/10.1590/0100-29452020177.
url http://repositorio.ufla.br/jspui/handle/1/42732
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Sociedade Brasileira de Fruticultura
publisher.none.fl_str_mv Sociedade Brasileira de Fruticultura
dc.source.none.fl_str_mv Revista Brasileira de Fruticultura
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
_version_ 1807835060767817728

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