CE20 - Biologie des animaux, des organismes photosynthétiques et des micro-organismes

ResIlienCe tO reCurrent HEaT Stresses in plants – RICOCHETS

Submission summary

Crop production data combined with future climate projections can be used to estimate how production, including crop yield but also quality, will be affected by global changes. However, these trends are based on relationships between average environmental conditions and average plant responses. Because there is increasing evidence that the magnitude and frequency of extreme weather events, such as heat waves, are increasing, there is a need to (1) better understand how recurrent environmental stresses within a season affect plant production and (2) incorporate plant responses to such stresses in crop models. RICOCHETS is based on the strong assumption that plant response to recurrent heat stresses, i.e., the succession of heat stresses events separated by non-stressing ones, may not match the addition of individual responses to each event. According to several studies mainly performed at the physiological and/or molecular levels, this could be explained by several reasons. First, a certain form of plant recovery, which can lead to compensation or even over-compensation, following the stressing period. Second, plants subjected to a first stress can be more resilient or less resilient to a second period of stress because they have been respectively prepared (‘primed’) or too much affected by the first stressing event. Combining a data-driven (knowledge discovery in database) and a concept-driven approach (multi-scale analyses of plant responses during recurrent heat stress sequences imposed at specific stages of plant development), RICOCHETS aims to better understand, model and predict the effects of recurrent heat stresses on plant growth, development and production.

Project coordination

Christine Granier (Institut national de la recherche en agronomie)

The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.

Partner

AGAP Institut national de la recherche en agronomie
EVA Université de Caen Normandie
LORIA Institut national de la recherche en informatique et automatique
LEPSE Laboratoire d'Écophysiologie des Plantes sous Stress environnementaux
BFP Biologie du Fruit et Pathologie

Help of the ANR 621,911 euros
Beginning and duration of the scientific project: January 2023 - 48 Months

Useful links

Explorez notre base de projets financés

 

 

ANR makes available its datasets on funded projects, click here to find more.

Sign up for the latest news:
Subscribe to our newsletter