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Plantes et Système de cultures Horticoles

Plantes et Systèmes de culture Horticoles

CLIF : CLImate change and Fungal disease, métaprogramme

CLIF    CLImate change and Fungal disease, métaprogramme ACCAF(2013-2015): Climate change Impact on Fungal pathosystems : estimating disease variation using models and indicators, designing adaptation strategies and mitigating several key knowledge gaps (coordination L. Huber, UMR Environment et Grandes cultures  et M. Launay US Agroclim).

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Autres partenaires du projet : UMR 1349  IGEPP,  UMR 1248  AGIR , UR  1290  BIOGER , UMR 320  Génétique Végétale,  UR 1115  PSH,   UR 1052  GAFL , UMR 547  PIAF,  UERI 695  Protection Intégrée,  UMR 1136  IaM,  UMR 1062  CBGP,  Associated R&D and international partners (no INRA funding),  ACTA  RMT Modélia,  ARVALIS  Institut du Végétal,  CETIOM,  Technical services  University of Hertfordshire,  Crop & Environment Research Group  CSIRO,  Fighting wheat disease  AAC,  Horticulture R&D Centre.

 As food security becomes an ever more pressing issue, concerns about combined climate change (CC), food security, and pesticide reduction become recurring. The network of relationships between plant diseases, the influence of CC on their dynamics, the possible shifts in disease niches and patterns, the genetic make-up of pathogen populations, and the implications these may have on agroecosystems on their performances as per the MEA criteria, including food provisioning must be addressed in a holistic approach. Plant disease epidemiology under climate change has been downplayed, compared to, e.g. insects and other pests. Our goal is to enhance a predictive capability for disease impact assessment and pathogen adaptation to CC for a number of annual and perennial systems. CLIF uses a two-pronged strategy based on (1) the linkage of existing research and (2) the promotion of new research projects. Existing research, initiated by individual groups will be networked, leading to interdisciplinary collaboration, geographical coverage of pathosystems, pathosystem diversity, and sharing of experimental data and models. Based on stakeholder contributions from both upstream and downstream research, CLIF has two broad objectives: first to anticipate and develop predictive scenarios of the effects of CC on pathosystems, and second to develop or improve adaptation strategies to preventing or reducing disease risks.