Calibration and evaluation of the DSSAT/Canegro model for sugarcane cultivars under irrigation managements

Detalhes bibliográficos
Autor(a) principal: Coelho, Anderson P. [UNESP]
Data de Publicação: 2020
Outros Autores: Dalri, Alexandre B. [UNESP], Fischer Filho, Joao A. [UNESP], De Faria, Rogerio T. [UNESP], Silva, Laercio S. [UNESP], Gomes, Romario P. [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1590/1807-1929/agriambi.v24n1p52-58
http://hdl.handle.net/11449/195033
Resumo: Model calibration is a fundamental factor to obtain high accuracy in the estimation of crop growth and yield. This study aimed to parameterize the genetic and ecotype coefficients of the DSSAT/Canegro model for five sugarcane cultivars kept under three water managements, besides evaluating the accuracy of the model in predicting sugarcane stalk yield, sugar yield and height. Experimental field data were obtained from two years (2016 and 2017) of cultivation at FCAV/Universidade Estadual Paulista, Jaboticabal, SP, Brazil. The cultivars were maintained under supplementary irrigation, deficit irrigation and no irrigation. Data of the supplementary irrigation treatment (without stress) were used for the parameterization of each cultivar. Model accuracy was assessed by Pearson correlation (r), root mean squared error (RMSE), mean bias error (MBE), index of agreement (d) and confidence coefficient (c). The DSSAT/Canegro model is highly accurate in predicting stalk and sugar yields of sugarcane grown under water regimes, presenting itself as a viable alternative in sugarcane yield simulation. For better performance of the DSSAT/Canegro model, it is necessary to parameterize the variables related to the ecotype of the cultivars, besides the specific coefficients of the cultivars.
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spelling Calibration and evaluation of the DSSAT/Canegro model for sugarcane cultivars under irrigation managementsSacharum spp.crop modelparameterizationyieldModel calibration is a fundamental factor to obtain high accuracy in the estimation of crop growth and yield. This study aimed to parameterize the genetic and ecotype coefficients of the DSSAT/Canegro model for five sugarcane cultivars kept under three water managements, besides evaluating the accuracy of the model in predicting sugarcane stalk yield, sugar yield and height. Experimental field data were obtained from two years (2016 and 2017) of cultivation at FCAV/Universidade Estadual Paulista, Jaboticabal, SP, Brazil. The cultivars were maintained under supplementary irrigation, deficit irrigation and no irrigation. Data of the supplementary irrigation treatment (without stress) were used for the parameterization of each cultivar. Model accuracy was assessed by Pearson correlation (r), root mean squared error (RMSE), mean bias error (MBE), index of agreement (d) and confidence coefficient (c). The DSSAT/Canegro model is highly accurate in predicting stalk and sugar yields of sugarcane grown under water regimes, presenting itself as a viable alternative in sugarcane yield simulation. For better performance of the DSSAT/Canegro model, it is necessary to parameterize the variables related to the ecotype of the cultivars, besides the specific coefficients of the cultivars.Univ Estadual Paulista, Fac Ciencias Agr & Vet, Jaboticabal, SP, BrazilUniv Estadual Paulista, Fac Ciencias Agr & Vet, Jaboticabal, SP, BrazilUniv Federal Campina GrandeUniversidade Estadual Paulista (Unesp)Coelho, Anderson P. [UNESP]Dalri, Alexandre B. [UNESP]Fischer Filho, Joao A. [UNESP]De Faria, Rogerio T. [UNESP]Silva, Laercio S. [UNESP]Gomes, Romario P. [UNESP]2020-12-10T17:02:25Z2020-12-10T17:02:25Z2020-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article52-58application/pdfhttp://dx.doi.org/10.1590/1807-1929/agriambi.v24n1p52-58Revista Brasileira De Engenharia Agricola E Ambiental. Campina Grande Pb: Univ Federal Campina Grande, v. 24, n. 1, p. 52-58, 2020.1415-4366http://hdl.handle.net/11449/19503310.1590/1807-1929/agriambi.v24n1p52-58S1415-43662020000100052WOS:000501900400008S1415-43662020000100052.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRevista Brasileira De Engenharia Agricola E Ambientalinfo:eu-repo/semantics/openAccess2023-11-24T06:13:20Zoai:repositorio.unesp.br:11449/195033Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:34:47.745839Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Calibration and evaluation of the DSSAT/Canegro model for sugarcane cultivars under irrigation managements
title Calibration and evaluation of the DSSAT/Canegro model for sugarcane cultivars under irrigation managements
spellingShingle Calibration and evaluation of the DSSAT/Canegro model for sugarcane cultivars under irrigation managements
Coelho, Anderson P. [UNESP]
Sacharum spp.
crop model
parameterization
yield
title_short Calibration and evaluation of the DSSAT/Canegro model for sugarcane cultivars under irrigation managements
title_full Calibration and evaluation of the DSSAT/Canegro model for sugarcane cultivars under irrigation managements
title_fullStr Calibration and evaluation of the DSSAT/Canegro model for sugarcane cultivars under irrigation managements
title_full_unstemmed Calibration and evaluation of the DSSAT/Canegro model for sugarcane cultivars under irrigation managements
title_sort Calibration and evaluation of the DSSAT/Canegro model for sugarcane cultivars under irrigation managements
author Coelho, Anderson P. [UNESP]
author_facet Coelho, Anderson P. [UNESP]
Dalri, Alexandre B. [UNESP]
Fischer Filho, Joao A. [UNESP]
De Faria, Rogerio T. [UNESP]
Silva, Laercio S. [UNESP]
Gomes, Romario P. [UNESP]
author_role author
author2 Dalri, Alexandre B. [UNESP]
Fischer Filho, Joao A. [UNESP]
De Faria, Rogerio T. [UNESP]
Silva, Laercio S. [UNESP]
Gomes, Romario P. [UNESP]
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Coelho, Anderson P. [UNESP]
Dalri, Alexandre B. [UNESP]
Fischer Filho, Joao A. [UNESP]
De Faria, Rogerio T. [UNESP]
Silva, Laercio S. [UNESP]
Gomes, Romario P. [UNESP]
dc.subject.por.fl_str_mv Sacharum spp.
crop model
parameterization
yield
topic Sacharum spp.
crop model
parameterization
yield
description Model calibration is a fundamental factor to obtain high accuracy in the estimation of crop growth and yield. This study aimed to parameterize the genetic and ecotype coefficients of the DSSAT/Canegro model for five sugarcane cultivars kept under three water managements, besides evaluating the accuracy of the model in predicting sugarcane stalk yield, sugar yield and height. Experimental field data were obtained from two years (2016 and 2017) of cultivation at FCAV/Universidade Estadual Paulista, Jaboticabal, SP, Brazil. The cultivars were maintained under supplementary irrigation, deficit irrigation and no irrigation. Data of the supplementary irrigation treatment (without stress) were used for the parameterization of each cultivar. Model accuracy was assessed by Pearson correlation (r), root mean squared error (RMSE), mean bias error (MBE), index of agreement (d) and confidence coefficient (c). The DSSAT/Canegro model is highly accurate in predicting stalk and sugar yields of sugarcane grown under water regimes, presenting itself as a viable alternative in sugarcane yield simulation. For better performance of the DSSAT/Canegro model, it is necessary to parameterize the variables related to the ecotype of the cultivars, besides the specific coefficients of the cultivars.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-10T17:02:25Z
2020-12-10T17:02:25Z
2020-01-01
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 http://dx.doi.org/10.1590/1807-1929/agriambi.v24n1p52-58
Revista Brasileira De Engenharia Agricola E Ambiental. Campina Grande Pb: Univ Federal Campina Grande, v. 24, n. 1, p. 52-58, 2020.
1415-4366
http://hdl.handle.net/11449/195033
10.1590/1807-1929/agriambi.v24n1p52-58
S1415-43662020000100052
WOS:000501900400008
S1415-43662020000100052.pdf
url http://dx.doi.org/10.1590/1807-1929/agriambi.v24n1p52-58
http://hdl.handle.net/11449/195033
identifier_str_mv Revista Brasileira De Engenharia Agricola E Ambiental. Campina Grande Pb: Univ Federal Campina Grande, v. 24, n. 1, p. 52-58, 2020.
1415-4366
10.1590/1807-1929/agriambi.v24n1p52-58
S1415-43662020000100052
WOS:000501900400008
S1415-43662020000100052.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Revista Brasileira De Engenharia Agricola E Ambiental
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 52-58
application/pdf
dc.publisher.none.fl_str_mv Univ Federal Campina Grande
publisher.none.fl_str_mv Univ Federal Campina Grande
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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