Organically grown cranberries command twice the price of conventionally produced fruit, and Québec, with 30% of the total growing area, is a world leader in this sector. However, through better control of nitrogen fertilization, it should be possible to boost organic production by reducing the 24% variability in yields observed with conventional crop management. One problem is that the nitrogen supply of organic fertilizers is modulated by temperature and this complicates efforts to monitor nitrogen availability (both quantity and synchronization).
Therefore, when there are nitrogen deficits in the spring, over-fertilization, or when nitrogen is released too late in the season; the result can be lower crop yields and/or quality, lower fruit-bearing potential the following year, or increased susceptibility of plants to disease. These problems will be exacerbated by the increased variability in temperature that climate change will bring. With the aim of providing growers with an optimal and flexible fertilization program, this project will characterize the nitrogen release from various organic fertilizers as a function of temperature and determine the nitrogen-intake dose response curves in the field.
Obtain better crop quality and yields through the flexible management of nitrogen fertilization (fertilizer type and dose) as a function of temperature. For three organic fertilizers, we will:
From 2020 to 2022
Fertilizer management, Organic farming
This project will contribute to the growth of organic cranberry farming in Québec.
Quebec Cranberry Growers Association | Acti-Sol | Atocas Blandford | Citadelle | Cranberry Institute | Fruits d’Or | Ministère de l'Agriculture, des Pêcheries et de l'Alimentation | Nature Canneberge | Ocean Spray | Organic Ocean | Vivaco groupe coopératif
IRDA drew up a list of insects and mites in Québec known to be or likely to become resistant to pesticides.
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
The aim of this project is to measure the potential of automated traps and extrapolate it to an apple-monitoring network.