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Impacts of climate change on wheat in England and Wales

Open access
Semenov, Mikhail A·2009·Journal of The Royal Society Interface

Abstract

The frequency and magnitude of extreme weather events are likely to increase with global warming. However, it is not clear how these events might affect agricultural crops and whether yield losses resulting from severe droughts or heat stress will increase in the future. The aim of this paper is to analyse changes in the magnitude and spatial patterns of two impact indices for wheat: the probability of heat stress around flowering and the severity of drought stress. To compute these indices, we used a wheat simulation model combined with high-resolution climate scenarios based on the output from the Hadley Centre regional climate model at 18 sites in England and Wales. Despite higher temperature and lower summer precipitation predicted in the UK for the 2050s, the impact of drought stress on simulated wheat yield is predicted to be smaller than that at present, because wheat will mature earlier in a warmer climate and avoid severe summer drought. However, the probability of heat stress around flowering that might result in considerable yield losses is predicted to increase significantly. Breeding strategies for the future climate might need to focus on wheat varieties tolerant to high temperature rather than to drought.

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Metadata

Authors
Semenov, M. A.
Venue
Journal of The Royal Society Interface
Published
2008-08-05
Volume
6
Issue
33
Pages
343-350
ISSN
  • 1742-5662 (ISSN-L)
  • 1742-5689
OpenAlex
W2103643521
Cited by
170
References
0
FWCI
9.20
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Impacts of climate change on wheat in England and Wales. https://app.cochat.ai/papers/10.1098/rsif.2008.0285
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Semenov, M. A. (2009). Impacts of climate change on wheat in England and Wales. Journal of The Royal Society Interface. https://doi.org/10.1098/rsif.2008.0285

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.