Agronomic, environmental, physical, chemical, and biological parameters are the main parameters used to determine soil health and agrosystem sustainability. However, the biological parameters that currently used are not accurate enough. Recent advances in biological and genomic analysis techniques have improved the affordability of detailed structural and functional characterizations of numerous biological communities that play essential roles in soil health and agroecosystem sustainability. The 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. The project was a major innovation that enhanced our knowledge of factors that disrupt cropping programs and farming practices in Québec grain crops.
From 2016 to 2018
DNA sequencing can be used to inventory all the organisms living in a soil sample.
Centre de recherche sur les grains | Université Laval | Agriculture and Agri-Food Canada | Ministère de l'Agriculture, des Pêcheries et de l'Alimentation du Québec | Growing Forward 2 : Innov’Action programme
This project’s main goal is to demonstrate how to satisfy most of the requirements of a strongly N-dependent crop by improving N-supply synchronization, while protecting the farmers’ prior year revenue-generating window.
Researcher: Christine Landry
This project was aimed at evaluating the impact of integrated pest management on the profitability of field crop farms.
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.