Improving fire blight detection, prediction, and control
Vincent Philion
Researcher, agr., M.Sc.
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
Developing transfer tools to promote good integrated pest management practices for Spotted Wing Drosophila
This update will incorporate information from more recent scientific articles on Spotted Wing Drosophila
Researcher: Annabelle Firlej
Organic strawberries grown on organic mulch: impact of nitrogen fertilization strategies on crop yields and profitability
This project tests cost-effective organic fertilization strategies for summer strawberries on plastic.
Researcher: Christine Landry
A new molecular approach to simultaneously detect disease-causing viruses in raspberries and strawberries
Developing a fast and sensitive molecular detection methodology able to accurately identify raspberry and strawberry viruses.
Researchers: Richard Hogue Luc Belzile
