Improving fire blight detection, prediction, and control
Vincent Philion
Researcher
450 653-7368
ext 350
Description
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.
Objective(s)
- Evaluate a bacterial detection tool during flowering
- Test the efficacy of streptomycin as a post-infection treatment
- Test the impact of blossom thinning on fire blight
From 2017 to 2020
Project duration
Fruit production
Activity areas
Pest, weed, and disease control
Service
This project will help apple growers control fire blight.
Partner
Ministère de l'Agriculture, des Pêcheries et de l'Alimentation du Québec
This may interest you
Selection, mass rearing, and field efficiency of a predaceous strain of mullein bug
The goal of the project is to select a strain of the mullein bug to control two spotted and red spider mites when populations tend to explode.
Researcher: Daniel Cormier
Development of a cropping system for organic raspberries in high tunnels
Evaluate the toxicity of biological pesticides or repellents to control the spotted wing drosophila on everbearing raspberries grown in tunnels.
Researcher: Daniel Cormier