An extensive sampling campaign conducted in Québec vineyards by the Centre agroalimentaire de Mirabel (CRAM) revealed a high prevalence of fungi causing grapevine trunk diseases (GTD). These fungi could cause significant losses since the only way to eradicate them is to replace or regenerate the infected vines. Agronomists recommend general or specific prophylactic interventions to limit GTD, but the phenological and climatic conditions of vineyards are insufficient to explain the distribution of GTD, which remains unpredictable.
The diagnosis of GTD is also complex since there are no enrichment methods for fungi, and molecular detection tools are not democratized. This project aims to push back the current boundaries of GTD monitoring by developing predictive models integrating genomics with the phenological and climatic conditions of vineyards.
These models will provide the user with a risk of susceptibility (severe, medium or low) to GTD based on the microbiome and specificities of vineyards. These models are intended for agronomists who will be responsible for interpreting them to make recommendations to producers.
Genome Centre: Génome Québec
User:
Caroline Provost – Centre de recherche agroalimentaire de Mirabel