Climate impact and adaptation to heat and drought stress of regional and global wheat production

Wheat (Triticum aestivum) is the most widely grown food crop in the world threatened by future climate change. In this study, we simulated climate change impacts and adaptation strategies for wheat globally using new crop genetic traits (CGT), including increased heat tolerance, early vigor to incre...

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Main Authors: Noleto Luz Pequeno, Diego, Hernandez-Ochoa, Ixchel Manuela, Reynolds, Matthew, Sonder, Kai, Molero-Milan, Anabel, Robertson, Richard D.
Format: Journal Article
Language:Inglés
Published: IOP Publishing Ltd. 2021
Subjects:
Online Access:https://hdl.handle.net/10568/142508
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author Noleto Luz Pequeno, Diego
Hernandez-Ochoa, Ixchel Manuela
Reynolds, Matthew
Sonder, Kai
Molero-Milan, Anabel
Robertson, Richard D.
author_browse Hernandez-Ochoa, Ixchel Manuela
Molero-Milan, Anabel
Noleto Luz Pequeno, Diego
Reynolds, Matthew
Robertson, Richard D.
Sonder, Kai
author_facet Noleto Luz Pequeno, Diego
Hernandez-Ochoa, Ixchel Manuela
Reynolds, Matthew
Sonder, Kai
Molero-Milan, Anabel
Robertson, Richard D.
author_sort Noleto Luz Pequeno, Diego
collection Repository of Agricultural Research Outputs (CGSpace)
description Wheat (Triticum aestivum) is the most widely grown food crop in the world threatened by future climate change. In this study, we simulated climate change impacts and adaptation strategies for wheat globally using new crop genetic traits (CGT), including increased heat tolerance, early vigor to increase early crop water use, late flowering to reverse an earlier anthesis in warmer conditions, and the combined traits with additional nitrogen (N) fertilizer applications, as an option to maximize genetic gains. These simulations were completed using three wheat crop models and five Global Climate Models (GCM) for RCP 8.5 at mid-century. Crop simulations were compared with country, US state, and US county grain yield and production. Wheat yield and production from high-yielding and low-yielding countries were mostly captured by the model ensemble mean. However, US state and county yields and production were often poorly reproduced, with large variability in the models, which is likely due to poor soil and crop management input data at this scale. Climate change is projected to decrease global wheat production by -1.9% by mid-century. However, the most negative impacts are projected to affect developing countries in tropical regions. The model ensemble mean suggests large negative yield impacts for African and Southern Asian countries where food security is already a problem. Yields are predicted to decline by -15% in African countries and -16% in Southern Asian countries by 2050. Introducing CGT as an adaptation to climate change improved wheat yield in many regions, but due to poor nutrient management, many developing countries only benefited from adaptation from CGT when combined with additional N fertilizer. As growing conditions and the impact from climate change on wheat vary across the globe, region-specific adaptation strategies need to be explored to increase the possible benefits of adaptations to climate change in the future.
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spelling CGSpace1425082025-12-08T10:11:39Z Climate impact and adaptation to heat and drought stress of regional and global wheat production Noleto Luz Pequeno, Diego Hernandez-Ochoa, Ixchel Manuela Reynolds, Matthew Sonder, Kai Molero-Milan, Anabel Robertson, Richard D. heat models triticum aestivum food production fertilizers nitrogen crops modelling capacity development genetic inheritance drought wheat crop modelling climate change Wheat (Triticum aestivum) is the most widely grown food crop in the world threatened by future climate change. In this study, we simulated climate change impacts and adaptation strategies for wheat globally using new crop genetic traits (CGT), including increased heat tolerance, early vigor to increase early crop water use, late flowering to reverse an earlier anthesis in warmer conditions, and the combined traits with additional nitrogen (N) fertilizer applications, as an option to maximize genetic gains. These simulations were completed using three wheat crop models and five Global Climate Models (GCM) for RCP 8.5 at mid-century. Crop simulations were compared with country, US state, and US county grain yield and production. Wheat yield and production from high-yielding and low-yielding countries were mostly captured by the model ensemble mean. However, US state and county yields and production were often poorly reproduced, with large variability in the models, which is likely due to poor soil and crop management input data at this scale. Climate change is projected to decrease global wheat production by -1.9% by mid-century. However, the most negative impacts are projected to affect developing countries in tropical regions. The model ensemble mean suggests large negative yield impacts for African and Southern Asian countries where food security is already a problem. Yields are predicted to decline by -15% in African countries and -16% in Southern Asian countries by 2050. Introducing CGT as an adaptation to climate change improved wheat yield in many regions, but due to poor nutrient management, many developing countries only benefited from adaptation from CGT when combined with additional N fertilizer. As growing conditions and the impact from climate change on wheat vary across the globe, region-specific adaptation strategies need to be explored to increase the possible benefits of adaptations to climate change in the future. 2021-06-01 2024-05-22T12:10:36Z 2024-05-22T12:10:36Z Journal Article https://hdl.handle.net/10568/142508 en https://hdl.handle.net/10568/148024 https://doi.org/10.1016/j.scitotenv.2021.145996 Open Access IOP Publishing Ltd. Noleto Luz Pequeno, Diego; Hernandez-Ochoa, Ixchel Manuela; Reynolds, Matthew; Sonder, Kai; Molero-Milan, Anabel; Robertson, Richard; et al. 2021. Climate impact and adaptation to heat and drought stress of regional and global wheat production. Environmental Research Letters 16(5): 054070. https://doi.org/10.1088/1748-9326/abd970
spellingShingle heat
models
triticum aestivum
food production
fertilizers
nitrogen
crops
modelling
capacity development
genetic inheritance
drought
wheat
crop modelling
climate change
Noleto Luz Pequeno, Diego
Hernandez-Ochoa, Ixchel Manuela
Reynolds, Matthew
Sonder, Kai
Molero-Milan, Anabel
Robertson, Richard D.
Climate impact and adaptation to heat and drought stress of regional and global wheat production
title Climate impact and adaptation to heat and drought stress of regional and global wheat production
title_full Climate impact and adaptation to heat and drought stress of regional and global wheat production
title_fullStr Climate impact and adaptation to heat and drought stress of regional and global wheat production
title_full_unstemmed Climate impact and adaptation to heat and drought stress of regional and global wheat production
title_short Climate impact and adaptation to heat and drought stress of regional and global wheat production
title_sort climate impact and adaptation to heat and drought stress of regional and global wheat production
topic heat
models
triticum aestivum
food production
fertilizers
nitrogen
crops
modelling
capacity development
genetic inheritance
drought
wheat
crop modelling
climate change
url https://hdl.handle.net/10568/142508
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