Adjusting the growth curve of sugarcane varieties using nonlinear models
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
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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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 |
|
_version_ |
1749140554415865856 |