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: Ciência Rural
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782020000300204
Resumo: ABSTRACT: 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 modelslogistic modelgompertz modelgrowth ratesABSTRACT: 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.Universidade Federal de Santa Maria2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782020000300204Ciência Rural v.50 n.3 2020reponame:Ciência Ruralinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM10.1590/0103-8478cr20190408info:eu-repo/semantics/openAccessJane,Sérgio AlbertoFernandes,Felipe AugustoSilva,Edilson MarcelinoMuniz,Joel AugustoFernandes,Tales JesusPimentel,Guilherme Vieiraeng2020-04-01T00:00:00ZRevista
dc.title.none.fl_str_mv Adjusting the growth curve of sugarcane varieties using nonlinear models
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 model
gompertz model
growth rates
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 model
gompertz model
growth rates
topic logistic model
gompertz model
growth rates
description ABSTRACT: 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 2020-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782020000300204
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782020000300204
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0103-8478cr20190408
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 de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Ciência Rural v.50 n.3 2020
reponame:Ciência Rural
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Ciência Rural
collection Ciência Rural
repository.name.fl_str_mv
repository.mail.fl_str_mv
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