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 project was conducted at IRDA’S Organic Agriculture Innovation Platform. Strawberries (Cleary cultivar) were produced in beds covered with black plastic mulch.
Researcher: Carl Boivin
Validation and adaptation of pest and disease monitoring and decision support tools.
Researcher: Annabelle Firlej
The aim of this project was to test the general hypothesis that exclusion nets, when properly used, can prevent attacks by most apple pests and reduce disease incidence with no major adverse effects on fruit quality.
Researcher: Gérald Chouinard