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 aim of this project is to determine the combined impact on fungicide efficacy of rain and the appearance of new leaves to more accurately identify how long treatments remain effective.
Researcher: Vincent Philion
Developing a Codling moth control management tool based on an improved formulation of Virosoft CP4.