SIMULATING CROP YIELD, SOIL NITROGEN, AND ORGANIC CARBON IN NO-TILLAGE CROP SEQUENCES IN A SUBTROPICAL CLIMATE IN BRAZIL

Detalhes bibliográficos
Autor(a) principal: Silva, Bruna de O. [UNESP]
Data de Publicação: 2020
Outros Autores: Santos, Gustavo A. de A. [UNESP], Santos, Miqueias G. dos [UNESP], Morais Filho, Luiz F. F. [UNESP], Faria, Rogerio T. de [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1590/1809-4430-Eng.Agric.v40n4p536-544/2020
http://hdl.handle.net/11449/195638
Resumo: Brazil stands out worldwide for its high grain production in areas of direct sowing. The objective of this study was to simulate and assess the relationship of soil organic carbon content and nitrogen, crop yield, and biomass of two crop sequences under the no-tillage system in a subtropical region of Sao Paulo, Brazil, using CSM-CROPGRO-Soybean and CSM-CERES-Maize models. The modeling was carried out considering the meteorological conditions of Jaboticabal, SP, Brazil. The treatments consisted of combining two summer crops (maize and soybean) with maize cultivation as a winter crop. The average biomass and productivity for corn were 15594 kg ha(-1) and 5996 kg ha(-1), respectively, and for soybeans they were 5905 kg ha(-1) and 3441 kg ha(-1), respectively. For soil organic carbon and nitrogen, a small variation was observed between years, and in addition there was a decline in their levels after a year with low biomass production. In our study, the RMSE and MAPE values between the observed and simulated productivity by the model were 2.21 kg ha(-1) and 44.24%, respectively. The analysis of main components for the cultivation of corn explained 83.9% of the variability, and for the cultivation of soy, 93.5%. Among the tested models, the CROPGRO was the one with the best accuracy.
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spelling SIMULATING CROP YIELD, SOIL NITROGEN, AND ORGANIC CARBON IN NO-TILLAGE CROP SEQUENCES IN A SUBTROPICAL CLIMATE IN BRAZILCSM-CROPGROCSM-CERES-MaizeConservationist tillageGreenhouse gas emissionBrazil stands out worldwide for its high grain production in areas of direct sowing. The objective of this study was to simulate and assess the relationship of soil organic carbon content and nitrogen, crop yield, and biomass of two crop sequences under the no-tillage system in a subtropical region of Sao Paulo, Brazil, using CSM-CROPGRO-Soybean and CSM-CERES-Maize models. The modeling was carried out considering the meteorological conditions of Jaboticabal, SP, Brazil. The treatments consisted of combining two summer crops (maize and soybean) with maize cultivation as a winter crop. The average biomass and productivity for corn were 15594 kg ha(-1) and 5996 kg ha(-1), respectively, and for soybeans they were 5905 kg ha(-1) and 3441 kg ha(-1), respectively. For soil organic carbon and nitrogen, a small variation was observed between years, and in addition there was a decline in their levels after a year with low biomass production. In our study, the RMSE and MAPE values between the observed and simulated productivity by the model were 2.21 kg ha(-1) and 44.24%, respectively. The analysis of main components for the cultivation of corn explained 83.9% of the variability, and for the cultivation of soy, 93.5%. Among the tested models, the CROPGRO was the one with the best accuracy.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Univ Estadual Paulista, Jaboticabal, SP, BrazilUniv Estadual Paulista, Jaboticabal, SP, BrazilCAPES: 001CNPq: 142384/2017-8Soc Brasil Engenharia AgricolaUniversidade Estadual Paulista (Unesp)Silva, Bruna de O. [UNESP]Santos, Gustavo A. de A. [UNESP]Santos, Miqueias G. dos [UNESP]Morais Filho, Luiz F. F. [UNESP]Faria, Rogerio T. de [UNESP]2020-12-10T17:41:18Z2020-12-10T17:41:18Z2020-07-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article536-544application/pdfhttp://dx.doi.org/10.1590/1809-4430-Eng.Agric.v40n4p536-544/2020Engenharia Agricola. Jaboticabal: Soc Brasil Engenharia Agricola, v. 40, n. 4, p. 536-544, 2020.0100-6916http://hdl.handle.net/11449/19563810.1590/1809-4430-Eng.Agric.v40n4p536-544/2020S0100-69162020000400536WOS:000564037700015S0100-69162020000400536.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEngenharia Agricolainfo:eu-repo/semantics/openAccess2023-12-15T06:14:20Zoai:repositorio.unesp.br:11449/195638Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:21:51.818731Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv SIMULATING CROP YIELD, SOIL NITROGEN, AND ORGANIC CARBON IN NO-TILLAGE CROP SEQUENCES IN A SUBTROPICAL CLIMATE IN BRAZIL
title SIMULATING CROP YIELD, SOIL NITROGEN, AND ORGANIC CARBON IN NO-TILLAGE CROP SEQUENCES IN A SUBTROPICAL CLIMATE IN BRAZIL
spellingShingle SIMULATING CROP YIELD, SOIL NITROGEN, AND ORGANIC CARBON IN NO-TILLAGE CROP SEQUENCES IN A SUBTROPICAL CLIMATE IN BRAZIL
Silva, Bruna de O. [UNESP]
CSM-CROPGRO
CSM-CERES-Maize
Conservationist tillage
Greenhouse gas emission
title_short SIMULATING CROP YIELD, SOIL NITROGEN, AND ORGANIC CARBON IN NO-TILLAGE CROP SEQUENCES IN A SUBTROPICAL CLIMATE IN BRAZIL
title_full SIMULATING CROP YIELD, SOIL NITROGEN, AND ORGANIC CARBON IN NO-TILLAGE CROP SEQUENCES IN A SUBTROPICAL CLIMATE IN BRAZIL
title_fullStr SIMULATING CROP YIELD, SOIL NITROGEN, AND ORGANIC CARBON IN NO-TILLAGE CROP SEQUENCES IN A SUBTROPICAL CLIMATE IN BRAZIL
title_full_unstemmed SIMULATING CROP YIELD, SOIL NITROGEN, AND ORGANIC CARBON IN NO-TILLAGE CROP SEQUENCES IN A SUBTROPICAL CLIMATE IN BRAZIL
title_sort SIMULATING CROP YIELD, SOIL NITROGEN, AND ORGANIC CARBON IN NO-TILLAGE CROP SEQUENCES IN A SUBTROPICAL CLIMATE IN BRAZIL
author Silva, Bruna de O. [UNESP]
author_facet Silva, Bruna de O. [UNESP]
Santos, Gustavo A. de A. [UNESP]
Santos, Miqueias G. dos [UNESP]
Morais Filho, Luiz F. F. [UNESP]
Faria, Rogerio T. de [UNESP]
author_role author
author2 Santos, Gustavo A. de A. [UNESP]
Santos, Miqueias G. dos [UNESP]
Morais Filho, Luiz F. F. [UNESP]
Faria, Rogerio T. de [UNESP]
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Silva, Bruna de O. [UNESP]
Santos, Gustavo A. de A. [UNESP]
Santos, Miqueias G. dos [UNESP]
Morais Filho, Luiz F. F. [UNESP]
Faria, Rogerio T. de [UNESP]
dc.subject.por.fl_str_mv CSM-CROPGRO
CSM-CERES-Maize
Conservationist tillage
Greenhouse gas emission
topic CSM-CROPGRO
CSM-CERES-Maize
Conservationist tillage
Greenhouse gas emission
description Brazil stands out worldwide for its high grain production in areas of direct sowing. The objective of this study was to simulate and assess the relationship of soil organic carbon content and nitrogen, crop yield, and biomass of two crop sequences under the no-tillage system in a subtropical region of Sao Paulo, Brazil, using CSM-CROPGRO-Soybean and CSM-CERES-Maize models. The modeling was carried out considering the meteorological conditions of Jaboticabal, SP, Brazil. The treatments consisted of combining two summer crops (maize and soybean) with maize cultivation as a winter crop. The average biomass and productivity for corn were 15594 kg ha(-1) and 5996 kg ha(-1), respectively, and for soybeans they were 5905 kg ha(-1) and 3441 kg ha(-1), respectively. For soil organic carbon and nitrogen, a small variation was observed between years, and in addition there was a decline in their levels after a year with low biomass production. In our study, the RMSE and MAPE values between the observed and simulated productivity by the model were 2.21 kg ha(-1) and 44.24%, respectively. The analysis of main components for the cultivation of corn explained 83.9% of the variability, and for the cultivation of soy, 93.5%. Among the tested models, the CROPGRO was the one with the best accuracy.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-10T17:41:18Z
2020-12-10T17:41:18Z
2020-07-01
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/10.1590/1809-4430-Eng.Agric.v40n4p536-544/2020
Engenharia Agricola. Jaboticabal: Soc Brasil Engenharia Agricola, v. 40, n. 4, p. 536-544, 2020.
0100-6916
http://hdl.handle.net/11449/195638
10.1590/1809-4430-Eng.Agric.v40n4p536-544/2020
S0100-69162020000400536
WOS:000564037700015
S0100-69162020000400536.pdf
url http://dx.doi.org/10.1590/1809-4430-Eng.Agric.v40n4p536-544/2020
http://hdl.handle.net/11449/195638
identifier_str_mv Engenharia Agricola. Jaboticabal: Soc Brasil Engenharia Agricola, v. 40, n. 4, p. 536-544, 2020.
0100-6916
10.1590/1809-4430-Eng.Agric.v40n4p536-544/2020
S0100-69162020000400536
WOS:000564037700015
S0100-69162020000400536.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Engenharia Agricola
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 536-544
application/pdf
dc.publisher.none.fl_str_mv Soc Brasil Engenharia Agricola
publisher.none.fl_str_mv Soc Brasil Engenharia Agricola
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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