Vegetative propagation and regenerative capacity of Canada thistle and sow thistle under organic management

Maryse Leblanc

Researcher, agr., Ph.D.

Contact Maryse Leblanc

Description

Canada thistle and sow thistle are the worst perennial weeds in organic field crops. Mechanical weeding methods commonly used to control annual weeds do not work on perennials. Integrated management methods for these weeds are lacking and there is very little information on their vegetative propagation and ability to regenerate under our conditions.  The purpose of the project was to study the vegetative propagation and regeneration capacity of Canada thistle and sow thistle with a view to developing effective weed control strategies. The data from this study was used to identify biological behaviors that can be used in managing these perennials under Québec growing conditions.

Objective(s)

  • Determine the minimum regenerative capacities of both species to identify when they are the most vulnerable to weed control methods, i.e., when their root reserves are at a minimum
  • Determine the effect of fallow periods to develop a strategy to reduce the proliferation of these weeds
  • Determine their vegetative propagation by evaluating the spatial distribution of their roots
  • Evaluate the physical damage to both species caused by different types of soil tillage equipment, to help growers decide which equipment to use and when to achieve maximum control of these perennials

From 2014 to 2017

Project duration

Field crops

Activity areas

Pest, weed, and disease control, Organic farming

Services

This project will help producers to get rid of perennial weeds.

Partners

Innov'Action | Ministère de l'Agriculture, des Pêcheries et de l'Alimentation du Québec | Agriculture and Agri-Food Canada

This may interest you

2015-2018 • Field cropsLivestock production

A diagnostic tool for phosphorus and nitrogen exports (P+N Edit)

The aim of this project was to consolidate current scientific knowledge with a view to developing a spatially referenced tool to predict diffuse sediment, nitrogen, and phosphorus exports at the farm and watershed scale.

Read more about the project

Aubert Michaud, retraité
2020-2024 • Field cropsLivestock production

Artificial intelligence - Development of a decision support system to optimize alfalfa yield and nutritional value in relation to soil health

This project aims to develop a digital decision support tool to improve the nutritional quality and yield of alfalfa from analyses of the nutritional quality of forages, based on its relationship with soil fertility and health, while including the other pedoclimatic parameters that define alfalfa production conditions.

Read more about the project

Marc-Olivier Gasser
Catherine Bossé
2020-2024 • Field crops

Technical, economic, social and environmental guidelines for the use of irrigation on corn, soybeans and fodder crops

This research project aims to establish technical, economic, social and environmental benchmarks for irrigation of field and forage crops.

Read more about the project

Carl Boivin
Catherine Bossé
Simon Ricard
F