Adjusting the growth curve of sugarcane varieties using nonlinear models

Detalhes bibliográficos
Autor(a) principal: Jane, Sérgio Alberto
Data de Publicação: 2020
Outros Autores: Fernandes, Felipe Augusto, Silva, Edilson Marcelino, Muniz, Joel Augusto, Fernandes, Tales Jesus, Pimentel, Guilherme Vieira
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/42562
Resumo: Assessing sugarcane (Saccharum spp.) stalk growth helps to adequately manage the phenological stages of the crop. The aim of this study was to describe the height-growth curve of four sugarcane varieties (RB92579, RB93509, RB931530 and SP79-1011), in irrigated plant-cane and ratoon cane plantations, using the Logistic and Gompertz nonlinear models, while considering all deviations from assumptions. The model parameters were estimated based on the least squares method using the Gauss-Newton algorithm. To select the most suitable model, nonlinear measures, adjusted coefficient of determination (R2 adj), residual standard deviation (RSD), and corrected Akaike information criterion (AICc) were used. Based on the best models, stalk height growth rates and crop phenological stages were determined using critical points. All tests were performed in the free software environment for statistical computing and graphics, R. In general, the Logistic and Gompertz models without AR(1) better described the plant-cane and ratoon cane stalk height, respectively. All varieties showed early growth, and the RB92579 variety presented higher rates in both cycles.
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spelling Adjusting the growth curve of sugarcane varieties using nonlinear modelsAjuste da curva de crescimento de variedades de cana-de-açúcar utilizando modelos não linearesLogistic modelsGompertz modelGrowth ratesModelo logísticoModelo GompertzTaxas de crescimentoAssessing sugarcane (Saccharum spp.) stalk growth helps to adequately manage the phenological stages of the crop. The aim of this study was to describe the height-growth curve of four sugarcane varieties (RB92579, RB93509, RB931530 and SP79-1011), in irrigated plant-cane and ratoon cane plantations, using the Logistic and Gompertz nonlinear models, while considering all deviations from assumptions. The model parameters were estimated based on the least squares method using the Gauss-Newton algorithm. To select the most suitable model, nonlinear measures, adjusted coefficient of determination (R2 adj), residual standard deviation (RSD), and corrected Akaike information criterion (AICc) were used. Based on the best models, stalk height growth rates and crop phenological stages were determined using critical points. All tests were performed in the free software environment for statistical computing and graphics, R. In general, the Logistic and Gompertz models without AR(1) better described the plant-cane and ratoon cane stalk height, respectively. All varieties showed early growth, and the RB92579 variety presented higher rates in both cycles.A avaliação do crescimento dos colmos de cana-de-açúcar (Saccharum spp.) ajuda a adequar o manejo com as fases fenológicas da cultura. Objetivou-se com este trabalho descrever a curva de crescimento da altura de quatro variedades de cana-de-açúcar (RB92579, RB93509, RB931530 e SP79-1011), nos cultivos de cana planta e cana soca irrigados, utilizando os modelos não lineares Logístico e Gompertz, e considerando eventuais desvios de pressupostos. A estimação dos parâmetros dos modelos foi feita com base no método dos mínimos quadrados utilizando o Algoritmo de Gauss-Newton. Para selecionar o modelo mais adequado foram utilizadas as medidas de não linearidade, o coeficiente de determinação ajustado (R2 aj), o desvio padrão residual (DPR) e o critério de informação de Akaike corrigido (AICc). Com base nos melhores modelos foram determinadas as taxas de crescimento da altura dos colmos e as fases fenológicas da cultura por meio dos pontos críticos. Todas as análises foram realizadas no software estatístico R. No geral, os modelos Logístico e Gompertz sem AR(1) descreveram melhor a altura dos colmos em cana planta e cana soca, respectivamente. Todas as variedades apresentaram crescimento precoce, a variedade RB92579 apresentou maiores taxas em ambos os ciclos.Universidade Federal de Santa Maria2020-08-21T16:37:52Z2020-08-21T16:37:52Z2020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfJANE, S. A. et al. Adjusting the growth curve of sugarcane varieties using nonlinear models. Ciência Rural, Santa Maria, v. 50, n. 3, e20190408, 2020. DOI: http://dx.doi.org/10.1590/0103-8478cr20190408.http://repositorio.ufla.br/jspui/handle/1/42562Ciência 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/openAccessJane, Sérgio AlbertoFernandes, Felipe AugustoSilva, Edilson MarcelinoMuniz, Joel AugustoFernandes, Tales JesusPimentel, Guilherme Vieiraeng2020-08-21T16:37:52Zoai:localhost:1/42562Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2020-08-21T16:37:52Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Adjusting the growth curve of sugarcane varieties using nonlinear models
Ajuste da curva de crescimento de variedades de cana-de-açúcar utilizando modelos não lineares
title Adjusting the growth curve of sugarcane varieties using nonlinear models
spellingShingle Adjusting the growth curve of sugarcane varieties using nonlinear models
Jane, Sérgio Alberto
Logistic models
Gompertz model
Growth rates
Modelo logístico
Modelo Gompertz
Taxas de crescimento
title_short Adjusting the growth curve of sugarcane varieties using nonlinear models
title_full Adjusting the growth curve of sugarcane varieties using nonlinear models
title_fullStr Adjusting the growth curve of sugarcane varieties using nonlinear models
title_full_unstemmed Adjusting the growth curve of sugarcane varieties using nonlinear models
title_sort Adjusting the growth curve of sugarcane varieties using nonlinear models
author Jane, Sérgio Alberto
author_facet Jane, Sérgio Alberto
Fernandes, Felipe Augusto
Silva, Edilson Marcelino
Muniz, Joel Augusto
Fernandes, Tales Jesus
Pimentel, Guilherme Vieira
author_role author
author2 Fernandes, Felipe Augusto
Silva, Edilson Marcelino
Muniz, Joel Augusto
Fernandes, Tales Jesus
Pimentel, Guilherme Vieira
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Jane, Sérgio Alberto
Fernandes, Felipe Augusto
Silva, Edilson Marcelino
Muniz, Joel Augusto
Fernandes, Tales Jesus
Pimentel, Guilherme Vieira
dc.subject.por.fl_str_mv Logistic models
Gompertz model
Growth rates
Modelo logístico
Modelo Gompertz
Taxas de crescimento
topic Logistic models
Gompertz model
Growth rates
Modelo logístico
Modelo Gompertz
Taxas de crescimento
description Assessing sugarcane (Saccharum spp.) stalk growth helps to adequately manage the phenological stages of the crop. The aim of this study was to describe the height-growth curve of four sugarcane varieties (RB92579, RB93509, RB931530 and SP79-1011), in irrigated plant-cane and ratoon cane plantations, using the Logistic and Gompertz nonlinear models, while considering all deviations from assumptions. The model parameters were estimated based on the least squares method using the Gauss-Newton algorithm. To select the most suitable model, nonlinear measures, adjusted coefficient of determination (R2 adj), residual standard deviation (RSD), and corrected Akaike information criterion (AICc) were used. Based on the best models, stalk height growth rates and crop phenological stages were determined using critical points. All tests were performed in the free software environment for statistical computing and graphics, R. In general, the Logistic and Gompertz models without AR(1) better described the plant-cane and ratoon cane stalk height, respectively. All varieties showed early growth, and the RB92579 variety presented higher rates in both cycles.
publishDate 2020
dc.date.none.fl_str_mv 2020-08-21T16:37:52Z
2020-08-21T16:37:52Z
2020
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 JANE, S. A. et al. Adjusting the growth curve of sugarcane varieties using nonlinear models. Ciência Rural, Santa Maria, v. 50, n. 3, e20190408, 2020. DOI: http://dx.doi.org/10.1590/0103-8478cr20190408.
http://repositorio.ufla.br/jspui/handle/1/42562
identifier_str_mv JANE, S. A. et al. Adjusting the growth curve of sugarcane varieties using nonlinear models. Ciência Rural, Santa Maria, v. 50, n. 3, e20190408, 2020. DOI: http://dx.doi.org/10.1590/0103-8478cr20190408.
url http://repositorio.ufla.br/jspui/handle/1/42562
dc.language.iso.fl_str_mv eng
language eng
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
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