Evidence map›Paper›PMID 36482280›Full record

ArticleGlobal change biology2023

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 and 1 more

Abstract read
In one paragraph

Article in Global change biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Nick S FradgleyNIAB, Cambridge, UK.ORCID 0000-0002-7868-8795
James BaconMet Office, Exeter, UK.ORCID 0000-0001-7142-5418
Alison R BentleyNIAB, Cambridge, UK.ORCID 0000-0001-5519-4357
Germano Costa-NetoInstitute for Genomics Diversity, Cornell University, Ithaca, NY, USA.ORCID 0000-0003-1137-6786
Andrew CottrellMet Office, Exeter, UK.ORCID 0000-0002-7526-2991
Jose CrossaInternational Maize and Wheat Improvement Center (CIMMYT), Carretera México-Veracruz, Mexico.ORCID 0000-0001-9429-5855
Jaime CuevasUniversidad Autonoma del Estado de Quintana Roo, Chetumal, Quintana Roo, Mexico.ORCID 0000-0002-0685-2867
Matthew KertonDSVUK, Top Dawkins Barn, Banbury, UK.ORCID 0000-0002-9587-8523
Edward PopeMet Office, Exeter, UK.ORCID 0000-0002-8295-2667
Stéphanie M SwarbreckNIAB, Cambridge, UK.ORCID 0000-0001-8355-7354
Keith A GardnerNIAB, Cambridge, UK.ORCID 0000-0002-4890-301X

Funding

Biotechnology and Biological Sciences Research Council BB/M011194/1
6 · The paper itself

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.

Indexed as

Climate ChangeTriticumAcclimatizationHumansPlant BreedingUnited Kingdomadaptationclimate change impactsgenomic predictiongrain qualitywheat breeding

Identifiers

PMID36482280
PMCPMC10108302

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.