Nonlinear models to describe height and diameter of sugarcane RB92579 variety

Detalhes bibliográficos
Autor(a) principal: Jane,Sérgio Alberto
Data de Publicação: 2020
Outros Autores: Fernandes,Felipe Augusto, Muniz,Joel Augusto, Fernandes,Tales Jesus
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista ciência agronômica (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902020000400402
Resumo: ABSTRACT Brazil is the world’s largest sugarcane producer (Saccharum spp.), followed by India and China. In 2019, Brazil produced 642.7 million tons of sugarcane, having collected 1.44 billion and 983.52 million dollars from sugar and ethanol exports, respectively. For crop management, it is important to monitor plant growth, duration of growth phases and point of physiological maturation. The aim of this study was to evaluate the fit of nonlinear Logistic, Gompertz, Brody and von Bertalanffy models to the height and diameter growth of ratoon cane stalk RB92579 variety, considering age in days. The parameters of models were estimated using R software routines, applying the least squares method and the iterative Gauss-Newton process. The adjustment of models was compared using the following evaluators: determination coefficient (R2), residual standard deviation (RSD) and corrected Akaike information criterion (AICc). In all models, parameters were significant by the t test at 1% level, except for the Brody model. When using the Shapiro-Wilk, Durbin-Watson and Breusch-Pagan tests, it was found that residues were normal, homoscedastic and independent at 1% significance level. All models fitted well to data, except for the Brody model for stalk height. Based on results, the Gompertz and Logistic models presented higher R2 values and lower RSD and AICc values; thus, it could be concluded that these models are suitable to describe the height and diameter of sugarcane RB92579 cultivar, respectively.
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spelling Nonlinear models to describe height and diameter of sugarcane RB92579 varietyGrowth curvesLogisticGompertzABSTRACT Brazil is the world’s largest sugarcane producer (Saccharum spp.), followed by India and China. In 2019, Brazil produced 642.7 million tons of sugarcane, having collected 1.44 billion and 983.52 million dollars from sugar and ethanol exports, respectively. For crop management, it is important to monitor plant growth, duration of growth phases and point of physiological maturation. The aim of this study was to evaluate the fit of nonlinear Logistic, Gompertz, Brody and von Bertalanffy models to the height and diameter growth of ratoon cane stalk RB92579 variety, considering age in days. The parameters of models were estimated using R software routines, applying the least squares method and the iterative Gauss-Newton process. The adjustment of models was compared using the following evaluators: determination coefficient (R2), residual standard deviation (RSD) and corrected Akaike information criterion (AICc). In all models, parameters were significant by the t test at 1% level, except for the Brody model. When using the Shapiro-Wilk, Durbin-Watson and Breusch-Pagan tests, it was found that residues were normal, homoscedastic and independent at 1% significance level. All models fitted well to data, except for the Brody model for stalk height. Based on results, the Gompertz and Logistic models presented higher R2 values and lower RSD and AICc values; thus, it could be concluded that these models are suitable to describe the height and diameter of sugarcane RB92579 cultivar, respectively.Universidade Federal do Ceará2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902020000400402Revista Ciência Agronômica v.51 n.4 2020reponame:Revista ciência agronômica (Online)instname:Universidade Federal do Ceará (UFC)instacron:UFC10.5935/1806-6690.20200062info:eu-repo/semantics/openAccessJane,Sérgio AlbertoFernandes,Felipe AugustoMuniz,Joel AugustoFernandes,Tales Jesuseng2020-10-13T00:00:00Zoai:scielo:S1806-66902020000400402Revistahttp://www.ccarevista.ufc.br/PUBhttps://old.scielo.br/oai/scielo-oai.php||alekdutra@ufc.br|| ccarev@ufc.br1806-66900045-6888opendoar:2020-10-13T00:00Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)false
dc.title.none.fl_str_mv Nonlinear models to describe height and diameter of sugarcane RB92579 variety
title Nonlinear models to describe height and diameter of sugarcane RB92579 variety
spellingShingle Nonlinear models to describe height and diameter of sugarcane RB92579 variety
Jane,Sérgio Alberto
Growth curves
Logistic
Gompertz
title_short Nonlinear models to describe height and diameter of sugarcane RB92579 variety
title_full Nonlinear models to describe height and diameter of sugarcane RB92579 variety
title_fullStr Nonlinear models to describe height and diameter of sugarcane RB92579 variety
title_full_unstemmed Nonlinear models to describe height and diameter of sugarcane RB92579 variety
title_sort Nonlinear models to describe height and diameter of sugarcane RB92579 variety
author Jane,Sérgio Alberto
author_facet Jane,Sérgio Alberto
Fernandes,Felipe Augusto
Muniz,Joel Augusto
Fernandes,Tales Jesus
author_role author
author2 Fernandes,Felipe Augusto
Muniz,Joel Augusto
Fernandes,Tales Jesus
author2_role author
author
author
dc.contributor.author.fl_str_mv Jane,Sérgio Alberto
Fernandes,Felipe Augusto
Muniz,Joel Augusto
Fernandes,Tales Jesus
dc.subject.por.fl_str_mv Growth curves
Logistic
Gompertz
topic Growth curves
Logistic
Gompertz
description ABSTRACT Brazil is the world’s largest sugarcane producer (Saccharum spp.), followed by India and China. In 2019, Brazil produced 642.7 million tons of sugarcane, having collected 1.44 billion and 983.52 million dollars from sugar and ethanol exports, respectively. For crop management, it is important to monitor plant growth, duration of growth phases and point of physiological maturation. The aim of this study was to evaluate the fit of nonlinear Logistic, Gompertz, Brody and von Bertalanffy models to the height and diameter growth of ratoon cane stalk RB92579 variety, considering age in days. The parameters of models were estimated using R software routines, applying the least squares method and the iterative Gauss-Newton process. The adjustment of models was compared using the following evaluators: determination coefficient (R2), residual standard deviation (RSD) and corrected Akaike information criterion (AICc). In all models, parameters were significant by the t test at 1% level, except for the Brody model. When using the Shapiro-Wilk, Durbin-Watson and Breusch-Pagan tests, it was found that residues were normal, homoscedastic and independent at 1% significance level. All models fitted well to data, except for the Brody model for stalk height. Based on results, the Gompertz and Logistic models presented higher R2 values and lower RSD and AICc values; thus, it could be concluded that these models are suitable to describe the height and diameter of sugarcane RB92579 cultivar, respectively.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902020000400402
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902020000400402
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5935/1806-6690.20200062
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Universidade Federal do Ceará
publisher.none.fl_str_mv Universidade Federal do Ceará
dc.source.none.fl_str_mv Revista Ciência Agronômica v.51 n.4 2020
reponame:Revista ciência agronômica (Online)
instname:Universidade Federal do Ceará (UFC)
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instname_str Universidade Federal do Ceará (UFC)
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institution UFC
reponame_str Revista ciência agronômica (Online)
collection Revista ciência agronômica (Online)
repository.name.fl_str_mv Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)
repository.mail.fl_str_mv ||alekdutra@ufc.br|| ccarev@ufc.br
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