The development of a decision support tool is necessary for producers to recognize the conditions that impact growth, yield and nutritional quality of alfalfa, but also to evaluate the anticipated gains after correction of problems. This project aims to develop this digital tool to improve alfalfa production. To do so, artificial intelligence, the expertise of researchers and the participation of 20 advisors specialized in forage production and 80 producers from Quebec and the Maritime provinces will be combined. The application will be easy to use. It will allow the valorization of data on the nutritional value of forages obtained on the farm (by near infrared analysis), the current analysis of soils, the evaluation of the health of a soil profile in the field and finally, the prediction of the nutritional quality and the yield of alfalfa.
This project aims to develop a digital decision support tool to improve the nutritional quality and yeld 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.
From 2020 to 2024
Field crops, Livestock production
Association canadienne pour les plantes fourragères (ACPF) | Coordination des services-conseils (CSC) | Lactanet | Agritel | Laval University | Polytechnique Montréal
Testing the efficacy of four biofungicides against Sclerotinia in soybeans.
Researcher: Luc Belzile
A literature review, a survey of organic grain producers, and an analysis of historical yield and climate data in order to document the effects of climate extremes on yields and soil nutrient availability.
Researcher: Marc-Olivier Gasser
This research project aims to establish technical, economic, social and environmental benchmarks for irrigation of field and forage crops.