SIMULATING CROP YIELD, SOIL NITROGEN, AND ORGANIC CARBON IN NO-TILLAGE CROP SEQUENCES IN A SUBTROPICAL CLIMATE IN BRAZIL
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , |
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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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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1808129193407414272 |