Evidence map›Paper›PMID 38589535›Full record

ArticleScientific reports2024

Mapping the race between crop phenology and climate risks for wheat in France under climate change.

Renan Le Roux, Carina Furusho-Percot, Jean-Charles Deswarte, Marie-Odile Bancal, Karine Chenu, Nathalie de Noblet-Ducoudré, Iñaki García de Cortázar-Atauri, Alexis Durand, Burak Bulut, Olivier Maury and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

12 authors.

Renan Le RouxINRAE, AgroClim, 84914, Avignon, France. renan.le-roux@inrae.fr.ORCID 0000-0001-7778-1878
Carina Furusho-PercotINRAE, AgroClim, 84914, Avignon, France.
Jean-Charles DeswarteARVALIS - Institut du Végétal, Villiers-le-Bâcle, France.
Marie-Odile BancalUniversité Paris-Saclay, INRAE, AgroParisTech, UMR Ecosys, 91120, Palaiseau, France.
Karine ChenuQueensland Alliance for Agriculture and Food Innovation, The University of Queensland, 13 Holberton Street, Toowoomba, QLD, 4350, Australia.
Nathalie de Noblet-DucoudréCommissariat à l'Energie atomique et aux énergies alternatives (CEA), Université Paris-Saclay, LSCE/IPSL, 91191, Gif-Sur-Yvette, France.
Iñaki García de Cortázar-AtauriINRAE, AgroClim, 84914, Avignon, France.
Alexis DurandINRAE, AgroClim, 84914, Avignon, France.
Burak BulutCommissariat à l'Energie atomique et aux énergies alternatives (CEA), Université Paris-Saclay, LSCE/IPSL, 91191, Gif-Sur-Yvette, France.
Olivier MauryINRAE, AgroClim, 84914, Avignon, France.
Jérémie DécomeINRAE, AgroClim, 84914, Avignon, France.
Marie LaunayINRAE, AgroClim, 84914, Avignon, France. marie.launay@inrae.fr.ORCID 0000-0003-4067-3907

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change threatens food security by affecting the productivity of major cereal crops. To date, agroclimatic risk projections through indicators have focused on expected hazards exposure during the crop's current vulnerable seasons, without considering the non-stationarity of their phenology under evolving climatic conditions. We propose a new method for spatially classifying agroclimatic risks for wheat, combining high-resolution climatic data with a wheat's phenological model. The method is implemented for French wheat involving three GCM-RCM model pairs and two emission scenarios. We found that the precocity of phenological stages allows wheat to avoid periods of water deficit in the near future. Nevertheless, in the coming decades the emergence of heat stress and increasing water deficit will deteriorate wheat cultivation over the French territory. Projections show the appearance of combined risks of heat and water deficit up to 4 years per decade under the RCP 8.5 scenario. The proposed method provides a deep level of information that enables regional adaptation strategies: the nature of the risk, its temporal and spatial occurrence, and its potential combination with other risks. It's a first step towards identifying potential sites for breeding crop varieties to increase the resilience of agricultural systems.

Indexed as

Climate ChangeTriticumFrancePlant BreedingWaterWater

Identifiers

PMID38589535
PMCPMC11001926

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.