The purpose of this project is to establish a link between soil health and biological (respiration, nitrogen, and functional groups [genomic and PCR]), physical (aggregation and compaction), and chemical criteria used in the Cornell soil health assessment. The objective is to develop a prediction model for soil nitrogen supplies based on biological soil health indicators.
An accurate estimate of soil nitrogen would enable growers to reduce mineral fertilizer applications for the same crop yields, which would have a direct impact on input costs and reduce nitrogen leaching into the environment. The tests are being conducted on grain corn because it is a nitrogen-hungry crop and has a strong impact on soil quality.
From 2017 to 2020
Accurate estimates of soil nitrogen supply can be used to reduce mineral fertilizer applications.
Ministère de l'Agriculture, des Pêcheries et de l'Alimentation du Québec | EnvironeX Group
This project was aimed at evaluating the impact of integrated pest management on the profitability of field crop farms.
Researcher: Luc Belzile
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.
The Rivière de la Roche sub-watershed has one of the highest phosphorus and sediment export rates of the entire Missisquoi Bay watershed—a particularly challenging situation for the local agricultural sector.
Researchers: Aubert Michaud, retraité Luc Belzile