Double sigmoidal models describing the growth of coffee berries

Detalhes bibliográficos
Autor(a) principal: Fernandes, Tales Jesus
Data de Publicação: 2017
Outros Autores: Pereira, Adriele Aparecida, Muniz, Joel Augusto
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/31445
Resumo: This study aimed to verify if the growth pattern of coffee berries, considering fresh mass accumulation over time, is double sigmoid and to select the most suitable nonlinear model to describe such behavior. Data used consisted of fourteen longitudinal observations of average fresh mass of coffee berries obtained in an experiment with the cultivar Obatã IAC 1669-20. The fits provided by the Logistic and Gompertz models were compared in their single and double versions. Parameters were estimated using the least squares method using the Gauss-Newton algorithm implemented in the nls function of the R software. It can be concluded that the growth pattern of the coffee fruit, in fresh mass accumulation, is double sigmoid. The double Gompertz and double Logistic models were adequate to describe such a growth curve, with a superiority of the double Logistic model.
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spelling Double sigmoidal models describing the growth of coffee berriesModelos duplo sigmoidais na descrição do crescimento de frutos do cafeeiroCoffea arabicaDouble GompertzDouble logisticDuplo GompertzDuplo logísticoThis study aimed to verify if the growth pattern of coffee berries, considering fresh mass accumulation over time, is double sigmoid and to select the most suitable nonlinear model to describe such behavior. Data used consisted of fourteen longitudinal observations of average fresh mass of coffee berries obtained in an experiment with the cultivar Obatã IAC 1669-20. The fits provided by the Logistic and Gompertz models were compared in their single and double versions. Parameters were estimated using the least squares method using the Gauss-Newton algorithm implemented in the nls function of the R software. It can be concluded that the growth pattern of the coffee fruit, in fresh mass accumulation, is double sigmoid. The double Gompertz and double Logistic models were adequate to describe such a growth curve, with a superiority of the double Logistic model.O objetivo deste trabalho foi verificar se o padrão de crescimento do fruto do cafeeiro, considerando acúmulo de massa fresca em função do tempo, é realmente duplo sigmoidal e selecionar o modelo não linear mais indicado para descrever tal comportamento. Os dados utilizados são quatorze observações longitudinais de massa fresca média de frutos do cafeeiro obtidos em um experimento com a cultivar Obatã IAC 1669-20. Foram comparados os ajustes fornecidos pelos modelos Logístico e Gompertz em suas versões simples e duplo. A estimação dos parâmetros foi feita pelo método dos mínimos quadrados utilizando o algoritmo de Gauss-Newton implementado na função nls do software R. Pode-se concluir que o padrão de crescimento do fruto do cafeeiro, em acúmulo de massa fresca, é duplo sigmoidal. Os modelos duplo Gompertz e duplo Logístico se mostraram adequados para descrever tal curva de crescimento, com uma superioridade do modelo duplo Logístico.Universidade Federal de Santa Maria2018-10-26T13:55:12Z2018-10-26T13:55:12Z2017info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfFERNANDES, T. J.; PEREIRA, A. A.; MUNIZ, J. A. Double sigmoidal models describing the growth of coffee berries. Ciência Rural, Santa Maria, v. 47, n. 8, 2017.http://repositorio.ufla.br/jspui/handle/1/31445Ciência Ruralreponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessFernandes, Tales JesusPereira, Adriele AparecidaMuniz, Joel Augustopor2023-05-26T19:43:39Zoai:localhost:1/31445Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2023-05-26T19:43:39Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Double sigmoidal models describing the growth of coffee berries
Modelos duplo sigmoidais na descrição do crescimento de frutos do cafeeiro
title Double sigmoidal models describing the growth of coffee berries
spellingShingle Double sigmoidal models describing the growth of coffee berries
Fernandes, Tales Jesus
Coffea arabica
Double Gompertz
Double logistic
Duplo Gompertz
Duplo logístico
title_short Double sigmoidal models describing the growth of coffee berries
title_full Double sigmoidal models describing the growth of coffee berries
title_fullStr Double sigmoidal models describing the growth of coffee berries
title_full_unstemmed Double sigmoidal models describing the growth of coffee berries
title_sort Double sigmoidal models describing the growth of coffee berries
author Fernandes, Tales Jesus
author_facet Fernandes, Tales Jesus
Pereira, Adriele Aparecida
Muniz, Joel Augusto
author_role author
author2 Pereira, Adriele Aparecida
Muniz, Joel Augusto
author2_role author
author
dc.contributor.author.fl_str_mv Fernandes, Tales Jesus
Pereira, Adriele Aparecida
Muniz, Joel Augusto
dc.subject.por.fl_str_mv Coffea arabica
Double Gompertz
Double logistic
Duplo Gompertz
Duplo logístico
topic Coffea arabica
Double Gompertz
Double logistic
Duplo Gompertz
Duplo logístico
description This study aimed to verify if the growth pattern of coffee berries, considering fresh mass accumulation over time, is double sigmoid and to select the most suitable nonlinear model to describe such behavior. Data used consisted of fourteen longitudinal observations of average fresh mass of coffee berries obtained in an experiment with the cultivar Obatã IAC 1669-20. The fits provided by the Logistic and Gompertz models were compared in their single and double versions. Parameters were estimated using the least squares method using the Gauss-Newton algorithm implemented in the nls function of the R software. It can be concluded that the growth pattern of the coffee fruit, in fresh mass accumulation, is double sigmoid. The double Gompertz and double Logistic models were adequate to describe such a growth curve, with a superiority of the double Logistic model.
publishDate 2017
dc.date.none.fl_str_mv 2017
2018-10-26T13:55:12Z
2018-10-26T13:55:12Z
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 FERNANDES, T. J.; PEREIRA, A. A.; MUNIZ, J. A. Double sigmoidal models describing the growth of coffee berries. Ciência Rural, Santa Maria, v. 47, n. 8, 2017.
http://repositorio.ufla.br/jspui/handle/1/31445
identifier_str_mv FERNANDES, T. J.; PEREIRA, A. A.; MUNIZ, J. A. Double sigmoidal models describing the growth of coffee berries. Ciência Rural, Santa Maria, v. 47, n. 8, 2017.
url http://repositorio.ufla.br/jspui/handle/1/31445
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 4.0 International
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
_version_ 1807835187363446784

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