The use of the nonlinear models in the growth of pears of ‘Shinseiki’ cultivar

Detalhes bibliográficos
Autor(a) principal: Ribeiro, Thais Destefani
Data de Publicação: 2018
Outros Autores: Savian, Taciana Villela, 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/1/33732
Resumo: The goal of this study was to elucidate the growth and development of the Asian pear fruit, on the grounds of length, diameter and fresh weight determined over time, using the non-linear Gompertz and Logistic models. The specifications of the models were assessed utilizing the R statistical software, via the least squares method and iterative Gauss-Newton process (DRAPER & SMITH, 2014). The residual standard deviation, adjusted coefficient of determination and the Akaike information criterion were used to compare the models. The residual correlations, observed in the data for length and diameter, were modeled using the second-order regression process to render the residuals independent. The logistic model was highly suitable in demonstrating the data, revealing the Asian pear fruit growth to be sigmoid in shape, showing remarkable development for three variables. It showed an average of up to 125 days for length and diameter and 140 days for fresh fruit weight, with values of 72mm length, 80mm diameter and 224g heavy fat.
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spelling The use of the nonlinear models in the growth of pears of ‘Shinseiki’ cultivarO uso de modelos não lineares na descrição do crescimento de frutos de pereira cultivar ‘Shinseiki’Biometric measurementsAsian pear - GrowthModel GompertzLogistic modelMedições biométricasPera asiática - CrescimentoModelo GompertzModelo logísticoThe goal of this study was to elucidate the growth and development of the Asian pear fruit, on the grounds of length, diameter and fresh weight determined over time, using the non-linear Gompertz and Logistic models. The specifications of the models were assessed utilizing the R statistical software, via the least squares method and iterative Gauss-Newton process (DRAPER & SMITH, 2014). The residual standard deviation, adjusted coefficient of determination and the Akaike information criterion were used to compare the models. The residual correlations, observed in the data for length and diameter, were modeled using the second-order regression process to render the residuals independent. The logistic model was highly suitable in demonstrating the data, revealing the Asian pear fruit growth to be sigmoid in shape, showing remarkable development for three variables. It showed an average of up to 125 days for length and diameter and 140 days for fresh fruit weight, with values of 72mm length, 80mm diameter and 224g heavy fat.Este trabalho teve por objetivo descrever o crescimento e desenvolvimento de frutos de pereira asiática, com base no comprimento, diâmetro e peso fresco obtidos ao longo do tempo, pelos modelos não lineares Gompertz e Logístico. Os parâmetros dos modelos foram estimados utilizando rotinas no software R, pelo método de mínimos quadrados e processo iterativo de Gauss-Newton (DRAPER & SMITH, 2014). Os modelos foram comparados utilizando o desvio padrão residual, coeficiente de determinação ajustado e o critério de informação de Akaike. A correlação residual presente nos dados de comprimento e diâmetro foi modelada por processo auto-regressivo de segunda ordem, tornando os resíduos independentes. O modelo Logístico mostrou-se mais adequado para descrever os dados, comprovando o caráter sigmoidal do crescimento da pera asiática com desenvolvimento acentuado das três variáveis, com até 125 dias para o comprimento e diâmetro e 140 dias para o peso fresco dos frutos, estabilizando-se, em média, com 72mm de comprimento, 80mm de diâmetro e 224g de peso fresco.Universidade Federal de Santa Maria2019-04-23T13:56:41Z2019-04-23T13:56:41Z2018info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfRIBEIRO, T. D. et al. The use of the nonlinear models in the growth of pears of ‘Shinseiki’ cultivar. Ciência Rural, Santa Maria, v. 48, n. 1, p. 1-7, 2018.http://repositorio.ufla.br/jspui/handle/1/33732Ciência Ruralreponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessRibeiro, Thais DestefaniSavian, Taciana VillelaFernandes, Tales JesusMuniz, Joel Augustoeng2023-05-19T19:02:50Zoai:localhost:1/33732Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2023-05-19T19:02:50Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv The use of the nonlinear models in the growth of pears of ‘Shinseiki’ cultivar
O uso de modelos não lineares na descrição do crescimento de frutos de pereira cultivar ‘Shinseiki’
title The use of the nonlinear models in the growth of pears of ‘Shinseiki’ cultivar
spellingShingle The use of the nonlinear models in the growth of pears of ‘Shinseiki’ cultivar
Ribeiro, Thais Destefani
Biometric measurements
Asian pear - Growth
Model Gompertz
Logistic model
Medições biométricas
Pera asiática - Crescimento
Modelo Gompertz
Modelo logístico
title_short The use of the nonlinear models in the growth of pears of ‘Shinseiki’ cultivar
title_full The use of the nonlinear models in the growth of pears of ‘Shinseiki’ cultivar
title_fullStr The use of the nonlinear models in the growth of pears of ‘Shinseiki’ cultivar
title_full_unstemmed The use of the nonlinear models in the growth of pears of ‘Shinseiki’ cultivar
title_sort The use of the nonlinear models in the growth of pears of ‘Shinseiki’ cultivar
author Ribeiro, Thais Destefani
author_facet Ribeiro, Thais Destefani
Savian, Taciana Villela
Fernandes, Tales Jesus
Muniz, Joel Augusto
author_role author
author2 Savian, Taciana Villela
Fernandes, Tales Jesus
Muniz, Joel Augusto
author2_role author
author
author
dc.contributor.author.fl_str_mv Ribeiro, Thais Destefani
Savian, Taciana Villela
Fernandes, Tales Jesus
Muniz, Joel Augusto
dc.subject.por.fl_str_mv Biometric measurements
Asian pear - Growth
Model Gompertz
Logistic model
Medições biométricas
Pera asiática - Crescimento
Modelo Gompertz
Modelo logístico
topic Biometric measurements
Asian pear - Growth
Model Gompertz
Logistic model
Medições biométricas
Pera asiática - Crescimento
Modelo Gompertz
Modelo logístico
description The goal of this study was to elucidate the growth and development of the Asian pear fruit, on the grounds of length, diameter and fresh weight determined over time, using the non-linear Gompertz and Logistic models. The specifications of the models were assessed utilizing the R statistical software, via the least squares method and iterative Gauss-Newton process (DRAPER & SMITH, 2014). The residual standard deviation, adjusted coefficient of determination and the Akaike information criterion were used to compare the models. The residual correlations, observed in the data for length and diameter, were modeled using the second-order regression process to render the residuals independent. The logistic model was highly suitable in demonstrating the data, revealing the Asian pear fruit growth to be sigmoid in shape, showing remarkable development for three variables. It showed an average of up to 125 days for length and diameter and 140 days for fresh fruit weight, with values of 72mm length, 80mm diameter and 224g heavy fat.
publishDate 2018
dc.date.none.fl_str_mv 2018
2019-04-23T13:56:41Z
2019-04-23T13:56:41Z
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 RIBEIRO, T. D. et al. The use of the nonlinear models in the growth of pears of ‘Shinseiki’ cultivar. Ciência Rural, Santa Maria, v. 48, n. 1, p. 1-7, 2018.
http://repositorio.ufla.br/jspui/handle/1/33732
identifier_str_mv RIBEIRO, T. D. et al. The use of the nonlinear models in the growth of pears of ‘Shinseiki’ cultivar. Ciência Rural, Santa Maria, v. 48, n. 1, p. 1-7, 2018.
url http://repositorio.ufla.br/jspui/handle/1/33732
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 Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Ciência Rural
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
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