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dc.contributor.authorANDRADE, C. de L. T. de
dc.contributor.authorMAGALHÃES, B. G.
dc.contributor.authorLOPES, D. de C.
dc.contributor.authorSTEIDLE NETO, A. J.
dc.contributor.authorSOUZA, I. R. P. de
dc.contributor.authorAMARAL, T. A.
dc.date.accessioned2021-07-22T15:00:25Z-
dc.date.available2021-07-22T15:00:25Z-
dc.date.created2021-07-22
dc.date.issued2021
dc.identifier.citationRevista Brasileira de Milho e Sorgo, v. 20, e1210, 2021.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1133065-
dc.descriptionOngoing 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.
dc.language.isoeng
dc.rightsopenAccesseng
dc.subjectAquecimento global
dc.subjectDSSAT
dc.subjectProfundidade de raiz
dc.subjectRoot depth
dc.titleModelling management strategies to mitigate the effects of alterations of temperature and of CO2 concentration on maize.
dc.typeArtigo de periódico
dc.subject.thesagroZea Mays
dc.subject.thesagroPalhada
dc.subject.thesagroMilho
dc.subject.thesagroModelo de Simulação
dc.subject.nalthesaurusGlobal warming
dc.subject.nalthesaurusMulching
dc.subject.nalthesaurusSimulation models
riaa.ainfo.id1133065
riaa.ainfo.lastupdate2021-07-22
dc.identifier.doihttps://doi.org/10.18512/rbms2021v20e1210
dc.contributor.institutionCAMILO 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.
Aparece en las colecciones:Artigo em periódico indexado (CNPMS)

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