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Prediction of near‐term climate change impacts on UK wheat quality and the potential for adaptation through plant breeding

Nick S. Fradgley; James Bacon; Alison R. Bentley; Germano Costa‐Neto; Andrew Cottrell; Jose Crossa; Jaime Cuevas; Matthew Kerton; Edward Pope; Stéphanie M. Swarbreck; Keith A. Gardner
Global Change Biology · Vol. 29, Issue 5 · pp. 1296-1313 · 2023

Abstract

Wheat is a major crop worldwide, mainly cultivated for human consumption and animal feed. Grain quality is paramount in determining its value and downstream use. While we know that climate change threatens global crop yields, a better understanding of impacts on wheat end‐use quality is also critical. Combining quantitative genetics with climate model outputs, we investigated UK‐wide trends in genotypic adaptation for wheat quality traits. In our approach, we augmented genomic prediction models with environmental characterisation of field trials to predict trait values and climate effects in historical field trial data between 2001 and 2020. Addition of environmental covariates, such as temperature and rainfall, successfully enabled prediction of genotype by environment interactions (G × E), and increased prediction accuracy of most traits for new genotypes in new year cross validation. We then extended predictions from these models to much larger numbers of simulated environments using climate scenarios projected under Representative Concentration Pathways 8.5 for 2050–2069. We found geographically varying climate change impacts on wheat quality due to contrasting associations between specific weather covariables and quality traits across the UK. Notably, negative impacts on quality traits were predicted in the East of the UK due to increased summer temperatures while the climate in the North and South‐west may become more favourable with increased summer temperatures. Furthermore, by projecting 167,040 simulated future genotype–environment combinations, we found only limited potential for breeding to exploit predictable G × E to mitigate year‐to‐year environmental variability for most traits except Hagberg falling number. This suggests low adaptability of current UK wheat germplasm across future UK climates. More generally, approaches demonstrated here will be critical to enable adaptation of global crops to near‐term climate change.

Bibliographic Information

JournalGlobal Change Biology
PublisherWiley
Publication Date2023-03-01
Publication Year2023
Volume29
Issue5
Pages1296-1313
Document TypeJournal Article
Print ISSN1354-1013
eISSN1365-2486
DOI10.1111/gcb.16552
SubjectConservation Science

Access Information

NARA Access Coverage1997-01-01~Current
Journal Homepagehttps://onlinelibrary.wiley.com/loi/13652486
Publisher PageOpen Publisher Page
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