Modelling management strategies to mitigate the effects of alterations of temperature and of CO2 concentration on maize.
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1133065 https://doi.org/10.18512/rbms2021v20e1210 |
Resumo: | Ongoing climate change may affect rainfed maize yield in Brazil, which can be attenuated by some crop management strategies. This work aimed to evaluate, by using computational modeling, management practices with potential to mitigate the effects of changes in temperature and CO2 concentration on maize yield. The CSM-CERES-Maize model was applied to simulate the mitigating potential of using maize cultivars with 0.3 m, 0.5 m and 0.7 m deep root system, associated with 0 t ha-1, 2 t ha-1 and 4 t ha-1 of crop residue left on the soil surface. A set of 33 years of daily weather data, along with soil profile data, were used to evaluate the approach in 10 regions of the state of Minas Gerais, Brazil. For most of the regions, the use of mulching and of a maize cultivar with deeper root system was not capable of attenuating the temperature rise. In contrast, any factor limiting root growth of maize to a depth of 0.30 m, causes significant yield drop, even for a scenario of reducing temperature by 3 oC or rising CO2 concentration. In warmer and drier regions, the positive response of maize to the increase in CO2 concentration was more pronounced. |
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Modelling management strategies to mitigate the effects of alterations of temperature and of CO2 concentration on maize.Aquecimento globalDSSATProfundidade de raizRoot depthZea MaysPalhadaMilhoModelo de SimulaçãoGlobal warmingMulchingSimulation modelsOngoing climate change may affect rainfed maize yield in Brazil, which can be attenuated by some crop management strategies. This work aimed to evaluate, by using computational modeling, management practices with potential to mitigate the effects of changes in temperature and CO2 concentration on maize yield. The CSM-CERES-Maize model was applied to simulate the mitigating potential of using maize cultivars with 0.3 m, 0.5 m and 0.7 m deep root system, associated with 0 t ha-1, 2 t ha-1 and 4 t ha-1 of crop residue left on the soil surface. A set of 33 years of daily weather data, along with soil profile data, were used to evaluate the approach in 10 regions of the state of Minas Gerais, Brazil. For most of the regions, the use of mulching and of a maize cultivar with deeper root system was not capable of attenuating the temperature rise. In contrast, any factor limiting root growth of maize to a depth of 0.30 m, causes significant yield drop, even for a scenario of reducing temperature by 3 oC or rising CO2 concentration. In warmer and drier regions, the positive response of maize to the increase in CO2 concentration was more pronounced.CAMILO DE LELIS TEIXEIRA DE ANDRADE, CNPMS; BRUNA GOMES MAGALHÃES; DANIELA DE CARVALHO LOPES, Daniela de Carvalho Lopes; ANTONIO JOSÉ STEIDLE NETO, Universidade Federal de São João del-Rei; ISABEL REGINA PRAZERES DE SOUZA, CNPMS; TALES ANTÔNIO AMARAL.ANDRADE, C. de L. T. deMAGALHÃES, B. G.LOPES, D. de C.STEIDLE NETO, A. J.SOUZA, I. R. P. deAMARAL, T. A.2021-07-22T15:00:25Z2021-07-22T15:00:25Z2021-07-222021info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleRevista Brasileira de Milho e Sorgo, v. 20, e1210, 2021.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1133065https://doi.org/10.18512/rbms2021v20e1210enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2021-07-22T15:00:37Zoai:www.alice.cnptia.embrapa.br:doc/1133065Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542021-07-22T15:00:37falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542021-07-22T15:00:37Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Modelling management strategies to mitigate the effects of alterations of temperature and of CO2 concentration on maize. |
title |
Modelling management strategies to mitigate the effects of alterations of temperature and of CO2 concentration on maize. |
spellingShingle |
Modelling management strategies to mitigate the effects of alterations of temperature and of CO2 concentration on maize. ANDRADE, C. de L. T. de Aquecimento global DSSAT Profundidade de raiz Root depth Zea Mays Palhada Milho Modelo de Simulação Global warming Mulching Simulation models |
title_short |
Modelling management strategies to mitigate the effects of alterations of temperature and of CO2 concentration on maize. |
title_full |
Modelling management strategies to mitigate the effects of alterations of temperature and of CO2 concentration on maize. |
title_fullStr |
Modelling management strategies to mitigate the effects of alterations of temperature and of CO2 concentration on maize. |
title_full_unstemmed |
Modelling management strategies to mitigate the effects of alterations of temperature and of CO2 concentration on maize. |
title_sort |
Modelling management strategies to mitigate the effects of alterations of temperature and of CO2 concentration on maize. |
author |
ANDRADE, C. de L. T. de |
author_facet |
ANDRADE, C. de L. T. de MAGALHÃES, B. G. LOPES, D. de C. STEIDLE NETO, A. J. SOUZA, I. R. P. de AMARAL, T. A. |
author_role |
author |
author2 |
MAGALHÃES, B. G. LOPES, D. de C. STEIDLE NETO, A. J. SOUZA, I. R. P. de AMARAL, T. A. |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
CAMILO DE LELIS TEIXEIRA DE ANDRADE, CNPMS; BRUNA GOMES MAGALHÃES; DANIELA DE CARVALHO LOPES, Daniela de Carvalho Lopes; ANTONIO JOSÉ STEIDLE NETO, Universidade Federal de São João del-Rei; ISABEL REGINA PRAZERES DE SOUZA, CNPMS; TALES ANTÔNIO AMARAL. |
dc.contributor.author.fl_str_mv |
ANDRADE, C. de L. T. de MAGALHÃES, B. G. LOPES, D. de C. STEIDLE NETO, A. J. SOUZA, I. R. P. de AMARAL, T. A. |
dc.subject.por.fl_str_mv |
Aquecimento global DSSAT Profundidade de raiz Root depth Zea Mays Palhada Milho Modelo de Simulação Global warming Mulching Simulation models |
topic |
Aquecimento global DSSAT Profundidade de raiz Root depth Zea Mays Palhada Milho Modelo de Simulação Global warming Mulching Simulation models |
description |
Ongoing climate change may affect rainfed maize yield in Brazil, which can be attenuated by some crop management strategies. This work aimed to evaluate, by using computational modeling, management practices with potential to mitigate the effects of changes in temperature and CO2 concentration on maize yield. The CSM-CERES-Maize model was applied to simulate the mitigating potential of using maize cultivars with 0.3 m, 0.5 m and 0.7 m deep root system, associated with 0 t ha-1, 2 t ha-1 and 4 t ha-1 of crop residue left on the soil surface. A set of 33 years of daily weather data, along with soil profile data, were used to evaluate the approach in 10 regions of the state of Minas Gerais, Brazil. For most of the regions, the use of mulching and of a maize cultivar with deeper root system was not capable of attenuating the temperature rise. In contrast, any factor limiting root growth of maize to a depth of 0.30 m, causes significant yield drop, even for a scenario of reducing temperature by 3 oC or rising CO2 concentration. In warmer and drier regions, the positive response of maize to the increase in CO2 concentration was more pronounced. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-07-22T15:00:25Z 2021-07-22T15:00:25Z 2021-07-22 2021 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Revista Brasileira de Milho e Sorgo, v. 20, e1210, 2021. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1133065 https://doi.org/10.18512/rbms2021v20e1210 |
identifier_str_mv |
Revista Brasileira de Milho e Sorgo, v. 20, e1210, 2021. |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1133065 https://doi.org/10.18512/rbms2021v20e1210 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
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Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
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EMBRAPA |
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EMBRAPA |
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Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503507111313408 |