Calibration and evaluation of CSM-CROPGRO-soybean for soybean crop in the southwestern cerrado of Piauí
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Caatinga |
Texto Completo: | https://periodicos.ufersa.edu.br/caatinga/article/view/11959 |
Resumo: | The study aimed to calibrate and evaluate the DSSAT CSM-CROPGRO-Soybean model to simulate soybean grain yields in the Cerrado of the Southwestern region of Piaui. To parameterize the model, data from the 2019-2020 crop season was used from an experiment installed in the Serra do Quilombo, in Bom Jesus-PI (9º16'20.3'' S, 44º44'56.9'' O, and altitude 620 m). The BRS 8980 IPRO (BRS 8980), BMX 84I86 (Domínio), BMX 81I81RSF IPRO (Extrema), and BMX 8579 IPRO (Bonus) cultivars were evaluated on three sowing dates (11/29/2019, 01/14/2020, and 01/30/2020). The evaluation was conducted using soybean yield data collected in value for cultivation and use (VCU) experiments conducted by Embrapa Meio-Norte at Celeiro farm, Serra do Quilombo, Bom Jesus, PI, during four harvests and involving 61 genotypes. The best statistical indexes showing the efficiency of the calibration process were observed for the BRS 8980 (first sowing season) and Bônus (third sowing season) cultivars, with R² and D indexes above 0.90. The total biomass production showed high agreement with the measured values, capturing the decrease in production due to the sowing date. The model captured the variability depending on the sowing dates and the yield for simulations of four other agricultural seasons, independent of the season in which the model was calibrated. It was concluded that the model satisfactorily simulated plant growth and soybean grain yield for the conditions of the Cerrado of the Southwestern region of Piaui. |
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Calibration and evaluation of CSM-CROPGRO-soybean for soybean crop in the southwestern cerrado of PiauíCalibração e avaliação do CSM-CROPGRO-soybean para cultura da soja no cerrado do sudoeste piauienseModelagem agrícola. Análise de crescimento. Época de semeadura. Risco climáticoAgricultural modeling. Growth analysis. Sowing time. Climate risk.The study aimed to calibrate and evaluate the DSSAT CSM-CROPGRO-Soybean model to simulate soybean grain yields in the Cerrado of the Southwestern region of Piaui. To parameterize the model, data from the 2019-2020 crop season was used from an experiment installed in the Serra do Quilombo, in Bom Jesus-PI (9º16'20.3'' S, 44º44'56.9'' O, and altitude 620 m). The BRS 8980 IPRO (BRS 8980), BMX 84I86 (Domínio), BMX 81I81RSF IPRO (Extrema), and BMX 8579 IPRO (Bonus) cultivars were evaluated on three sowing dates (11/29/2019, 01/14/2020, and 01/30/2020). The evaluation was conducted using soybean yield data collected in value for cultivation and use (VCU) experiments conducted by Embrapa Meio-Norte at Celeiro farm, Serra do Quilombo, Bom Jesus, PI, during four harvests and involving 61 genotypes. The best statistical indexes showing the efficiency of the calibration process were observed for the BRS 8980 (first sowing season) and Bônus (third sowing season) cultivars, with R² and D indexes above 0.90. The total biomass production showed high agreement with the measured values, capturing the decrease in production due to the sowing date. The model captured the variability depending on the sowing dates and the yield for simulations of four other agricultural seasons, independent of the season in which the model was calibrated. It was concluded that the model satisfactorily simulated plant growth and soybean grain yield for the conditions of the Cerrado of the Southwestern region of Piaui.Objetivou-se, calibrar e avaliar o modelo DSSAT CSM-CROPGRO-Soybean na simulação do rendimento de grãos de soja na região do cerrado do Sudoeste Piauiense. Para a parametrização do modelo, foram utilizados dados do ano agrícola 2019-2020, de um experimento instalado na Serra do Quilombo, no município de Bom Jesus-PI (9º16'20,3'' S, 44º44'56,9'' O e altitude 620 m). Foram avaliadas as cultivares BRS 8980 IPRO (BRS 8980), BMX 84I86 (Domínio), BMX 81I81RSF IPRO (Extrema) e BMX 8579 IPRO (Bônus), em três datas de semeadura (29/11/2019, 14/01/2020 e 30/01/2020). A avaliação foi realizada com dados de rendimento de grãos de soja coletados em ensaios de valor de cultivo e uso (VCU) conduzido pela Embrapa Meio-Norte, na Fazenda Celeiro, Serra do Quilombo, Bom Jesus, PI, durante quatro safras e envolvendo 61 genótipos. Os melhores índices estatísticos que evidenciam a eficiência do processo de calibração foram observados para as cultivares BRS 8980 (1ª época de semeadura) e Bônus (3ª época de semeadura), com índices R² e D superiores a 0,90. A produção de biomassa total apresentou alta concordância com os valores medidos, capturando bem o decréscimo da produção em fundação da data de semeadura. O modelo capturou bem a variabilidade em função das datas de plantio, assim como o rendimento para simulações de outras quatro safras agrícolas, independentes da safra onde o modelo foi calibrado. Concluiu-se que o modelo simulou satisfatoriamente o crescimento das plantas e o rendimento de grãos de soja para as condições da região do cerrado do Sudoeste Piauiense.Universidade Federal Rural do Semi-Árido2023-12-22info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufersa.edu.br/caatinga/article/view/1195910.1590/1983-21252024v3711959rcREVISTA CAATINGA; Vol. 37 (2024); e11959Revista Caatinga; v. 37 (2024); e119591983-21250100-316Xreponame:Revista Caatingainstname:Universidade Federal Rural do Semi-Árido (UFERSA)instacron:UFERSAenghttps://periodicos.ufersa.edu.br/caatinga/article/view/11959/11416Copyright (c) 2023 Revista Caatingainfo:eu-repo/semantics/openAccessIrene Filho, JoãoAndrade Júnior, Aderson Soares deCuadra, Santiago VianaSilva, Everaldo Moreira daVieira, Paulo Fernando Melo Jorge2024-04-22T17:59:21Zoai:ojs.periodicos.ufersa.edu.br:article/11959Revistahttps://periodicos.ufersa.edu.br/index.php/caatinga/indexPUBhttps://periodicos.ufersa.edu.br/index.php/caatinga/oaipatricio@ufersa.edu.br|| caatinga@ufersa.edu.br1983-21250100-316Xopendoar:2024-04-29T09:47:06.402961Revista Caatinga - Universidade Federal Rural do Semi-Árido (UFERSA)true |
dc.title.none.fl_str_mv |
Calibration and evaluation of CSM-CROPGRO-soybean for soybean crop in the southwestern cerrado of Piauí Calibração e avaliação do CSM-CROPGRO-soybean para cultura da soja no cerrado do sudoeste piauiense |
title |
Calibration and evaluation of CSM-CROPGRO-soybean for soybean crop in the southwestern cerrado of Piauí |
spellingShingle |
Calibration and evaluation of CSM-CROPGRO-soybean for soybean crop in the southwestern cerrado of Piauí Irene Filho, João Modelagem agrícola. Análise de crescimento. Época de semeadura. Risco climático Agricultural modeling. Growth analysis. Sowing time. Climate risk. |
title_short |
Calibration and evaluation of CSM-CROPGRO-soybean for soybean crop in the southwestern cerrado of Piauí |
title_full |
Calibration and evaluation of CSM-CROPGRO-soybean for soybean crop in the southwestern cerrado of Piauí |
title_fullStr |
Calibration and evaluation of CSM-CROPGRO-soybean for soybean crop in the southwestern cerrado of Piauí |
title_full_unstemmed |
Calibration and evaluation of CSM-CROPGRO-soybean for soybean crop in the southwestern cerrado of Piauí |
title_sort |
Calibration and evaluation of CSM-CROPGRO-soybean for soybean crop in the southwestern cerrado of Piauí |
author |
Irene Filho, João |
author_facet |
Irene Filho, João Andrade Júnior, Aderson Soares de Cuadra, Santiago Viana Silva, Everaldo Moreira da Vieira, Paulo Fernando Melo Jorge |
author_role |
author |
author2 |
Andrade Júnior, Aderson Soares de Cuadra, Santiago Viana Silva, Everaldo Moreira da Vieira, Paulo Fernando Melo Jorge |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Irene Filho, João Andrade Júnior, Aderson Soares de Cuadra, Santiago Viana Silva, Everaldo Moreira da Vieira, Paulo Fernando Melo Jorge |
dc.subject.por.fl_str_mv |
Modelagem agrícola. Análise de crescimento. Época de semeadura. Risco climático Agricultural modeling. Growth analysis. Sowing time. Climate risk. |
topic |
Modelagem agrícola. Análise de crescimento. Época de semeadura. Risco climático Agricultural modeling. Growth analysis. Sowing time. Climate risk. |
description |
The study aimed to calibrate and evaluate the DSSAT CSM-CROPGRO-Soybean model to simulate soybean grain yields in the Cerrado of the Southwestern region of Piaui. To parameterize the model, data from the 2019-2020 crop season was used from an experiment installed in the Serra do Quilombo, in Bom Jesus-PI (9º16'20.3'' S, 44º44'56.9'' O, and altitude 620 m). The BRS 8980 IPRO (BRS 8980), BMX 84I86 (Domínio), BMX 81I81RSF IPRO (Extrema), and BMX 8579 IPRO (Bonus) cultivars were evaluated on three sowing dates (11/29/2019, 01/14/2020, and 01/30/2020). The evaluation was conducted using soybean yield data collected in value for cultivation and use (VCU) experiments conducted by Embrapa Meio-Norte at Celeiro farm, Serra do Quilombo, Bom Jesus, PI, during four harvests and involving 61 genotypes. The best statistical indexes showing the efficiency of the calibration process were observed for the BRS 8980 (first sowing season) and Bônus (third sowing season) cultivars, with R² and D indexes above 0.90. The total biomass production showed high agreement with the measured values, capturing the decrease in production due to the sowing date. The model captured the variability depending on the sowing dates and the yield for simulations of four other agricultural seasons, independent of the season in which the model was calibrated. It was concluded that the model satisfactorily simulated plant growth and soybean grain yield for the conditions of the Cerrado of the Southwestern region of Piaui. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-12-22 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.ufersa.edu.br/caatinga/article/view/11959 10.1590/1983-21252024v3711959rc |
url |
https://periodicos.ufersa.edu.br/caatinga/article/view/11959 |
identifier_str_mv |
10.1590/1983-21252024v3711959rc |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://periodicos.ufersa.edu.br/caatinga/article/view/11959/11416 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2023 Revista Caatinga info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2023 Revista Caatinga |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal Rural do Semi-Árido |
publisher.none.fl_str_mv |
Universidade Federal Rural do Semi-Árido |
dc.source.none.fl_str_mv |
REVISTA CAATINGA; Vol. 37 (2024); e11959 Revista Caatinga; v. 37 (2024); e11959 1983-2125 0100-316X reponame:Revista Caatinga instname:Universidade Federal Rural do Semi-Árido (UFERSA) instacron:UFERSA |
instname_str |
Universidade Federal Rural do Semi-Árido (UFERSA) |
instacron_str |
UFERSA |
institution |
UFERSA |
reponame_str |
Revista Caatinga |
collection |
Revista Caatinga |
repository.name.fl_str_mv |
Revista Caatinga - Universidade Federal Rural do Semi-Árido (UFERSA) |
repository.mail.fl_str_mv |
patricio@ufersa.edu.br|| caatinga@ufersa.edu.br |
_version_ |
1797674030182957056 |