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

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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Main Authors: 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.
Other Authors: 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.
Format: Artigo de periódico biblioteca
Language:Ingles
English
Published: 2021-07-22
Subjects:Aquecimento global, DSSAT, Profundidade de raiz, Root depth, Zea Mays, Palhada, Milho, Modelo de Simulação, Global warming, Mulching, Simulation models,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1133065
https://doi.org/10.18512/rbms2021v20e1210
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spelling dig-alice-doc-11330652021-07-22T15:00:37Z Modelling management strategies to mitigate the effects of alterations of temperature and of CO2 concentration on maize. 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. 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. Aquecimento global DSSAT Profundidade de raiz Root depth Zea Mays Palhada Milho Modelo de Simulação Global warming Mulching Simulation models 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. 2021-07-22T15:00:25Z 2021-07-22T15:00:25Z 2021-07-22 2021 Artigo de periódico 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 Ingles en openAccess
institution EMBRAPA
collection DSpace
country Brasil
countrycode BR
component Bibliográfico
access En linea
databasecode dig-alice
tag biblioteca
region America del Sur
libraryname Sistema de bibliotecas de EMBRAPA
language Ingles
English
topic Aquecimento global
DSSAT
Profundidade de raiz
Root depth
Zea Mays
Palhada
Milho
Modelo de Simulação
Global warming
Mulching
Simulation models
Aquecimento global
DSSAT
Profundidade de raiz
Root depth
Zea Mays
Palhada
Milho
Modelo de Simulação
Global warming
Mulching
Simulation models
spellingShingle Aquecimento global
DSSAT
Profundidade de raiz
Root depth
Zea Mays
Palhada
Milho
Modelo de Simulação
Global warming
Mulching
Simulation models
Aquecimento global
DSSAT
Profundidade de raiz
Root depth
Zea Mays
Palhada
Milho
Modelo de Simulação
Global warming
Mulching
Simulation models
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.
Modelling management strategies to mitigate the effects of alterations of temperature and of CO2 concentration on maize.
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.
author2 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.
author_facet 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. de
MAGALHÃES, B. G.
LOPES, D. de C.
STEIDLE NETO, A. J.
SOUZA, I. R. P. de
AMARAL, T. A.
format Artigo de periódico
topic_facet Aquecimento global
DSSAT
Profundidade de raiz
Root depth
Zea Mays
Palhada
Milho
Modelo de Simulação
Global warming
Mulching
Simulation models
author 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_sort ANDRADE, C. de L. T. de
title Modelling management strategies to mitigate the effects of alterations of temperature and of CO2 concentration on maize.
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.
publishDate 2021-07-22
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1133065
https://doi.org/10.18512/rbms2021v20e1210
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