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 looks to develop decision-support tools informed by observations of “bellwether” plots and use these tools to disseminate relevant information to irrigators.
Researcher: Carl Boivin
This project was aimed at identifying and incorporating biological indicators into decision support tools used to assist producers and agroenvironmental regulatory bodies seeking to preserve soil productivity and use sustainable production systems.
Researcher: Richard Hogue
Economic analysis of a three-year project aimed at testing methods of reducing and correcting surface soil compaction.
Researcher: Luc Belzile