Genetics, a lever for Mitigation and Adaptation to Climate Change

The aim of the GenA(t)ACC network is to identify generic research questions (animal, plant) for statistical methodologies applied to the genetics of managed and selected populations, in a context of climate change, in order to meet the challenges of mitigation and adaptation. The consortium will focus on the methodological challenges of predicting the genetic component of population responses in this context, while integrating models of the response of organisms to the environment. It will also look at the integration of mitigation and adaptation factors into these predictions. It will contribute to the sharing of knowledge with a view to building a network of scientists in bioclimatology, ecophysiology, physiology, genetics and mathematics.

Context and challenges

Genetics is at the heart of the management of populations used in agriculture and forestry, through the management of genetic resources and their use to select improved populations. It is thus recognised as a lever that may be applied to meet the challenges of mitigation and adaptation to climate change in agri-food and forestry systems.

However, current modelling of population responses over several generations is based on an "average" environment, which does not necessarily include all current and future potential crop and livestock environments. Yet the context of climate change implies that each environment will change on average over time, with hazards becoming increasingly frequent and intense. As a result, new methodological challenges are emerging for predicting responses to genetic selection, and for incorporating population-specific mitigation and adaptation factors into these responses. These developments will certainly have to take more explicit account of the genetic variability of populations and its evolution over generations.

Goals

GenA(t)ACC will draw on modelling skills from the fields of genetics, physiology, eco-physiology, climatology and mathematics. The consortium will focus on three areas:

1. the transformation of genetic predictions into phenotypic responses (GxE)
2. the dynamic modelling of genetic responses and assessment of population trajectories
3. taking account of climatic hazards and mitigating risks through diversity.

Consideration will be given to integrating mitigation and adaptation indicators into predictions.

INRAE units involved

GenPhySE - Toulouse
P3F - Lusignan
AGAP - Montpellier
AgroClim - Avignon
BFP - Bordeaux
BioForA - Orléans
BIOGECO - Bordeaux
BioSP - Avignon
GABI – Jouy en Josas
GAFL - Avignon
GDEC – Clermont-Ferrand
GQE – Gif-sur-Yvette
IRHS - Angers
LEPSE - Montpellier
MaIAGE - Jouy en Josas
MOSAR – Paris-Saclay
PEGASE - Rennes
SELMET - Montpellier
SVQV - Colmar
URFM – Avignon

Partenaires extérieurs : CIRAD et IDELE

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Genetics, a lever for Mitigation and Adaptation to Climate Change

Context and challenges

Goals

INRAE units involved

See also