The main aim of this project is to test a bacterial detection technique developed in Austria that consists of quantifying inoculum carried by bees.
The objective is to estimate our ability to predict fire blight based on bacterial populations on bees. The project also involves testing the efficacy of post-infection bactericides and evaluating blossom thinning as a method of controlling fire blight.
From 2017 to 2020
Pest, weed, and disease control
This project will help apple growers control fire blight.
Ministère de l'Agriculture, des Pêcheries et de l'Alimentation du Québec
The goal of this project was to document the impact of climate change on fruit crop pests and diseases in Québec.
Researcher: Annabelle Firlej
A cropping system based on adding organic matter through soil amendments and organic fertilizers can restore soil health and strawberry yields by limiting the occurrence of disease symptoms.
Researcher: Christine Landry
Improving the RIMpro software to better predict the risk of infection during rainfall.
Researcher: Vincent Philion