Modelling management strategies to mitigate the effects of alterations of temperature and of CO2 concentration on maize.

Detalhes bibliográficos
Autor(a) principal: ANDRADE, C. de L. T. de
Data de Publicação: 2021
Outros Autores: MAGALHÃES, B. G., LOPES, D. de C., STEIDLE NETO, A. J., SOUZA, I. R. P. de, AMARAL, T. A.
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.
id EMBR_73ac7732cf6ec88e5bc3c26c22630a63
oai_identifier_str oai:www.alice.cnptia.embrapa.br:doc/1133065
network_acronym_str EMBR
network_name_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository_id_str 2154
spelling 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
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str 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
_version_ 1794503507111313408