This project’s main hypothesis is that by developing optimized cleaning methods that take building features into consideration, it is possible to yield hygienic improvements that are readily measurable with a new, simple, and effective real-time indicator.
In the initial stage of the project, the impacts of the washing parameters, as well as the types of materials used, will be studied. At the same time, we will develop a simple and effective indicator to assess the quality of the wash. A comprehensive literature review will be conducted to identify potential methods.
The indicator may include a combination of observation methods and/or analyses, such as the use of an adenosine triphosphate luminometer and a bacterial count. We will conduct a small-scale test of the prospective method at the IRDA experimental farm in Deschambault.
Next, the optimal cleaning parameters and the indicator developed will be evaluated on a commercial scale. A washing simulation will be run and the cleanliness level assessed with the new indicator. The cleanliness level will be compared to that obtained with conventional methods. The wash time and water quantity will also be assessed and compared. Finally, the environmental and economic benefits of reducing water usage and wash times will also be taken into consideration.
From 2019 to 2023
Water protection, Air quality, Animal welfare
This project will help improve sanitary conditions for animals and workers, in addition to reducing discharges into the environment.
Ministère de l'Agriculture, des Pêcheries et de l'Alimentation du Québec | Centre de développement du porc du Québec | Les Éleveurs de porcs du Québec
Project to determine the real value of the phosphorus load associated with bison production in Québec.
Researcher: Stéphane Godbout
This project will draw recommendations to reduce fugitive emissions through technical means or agricultural practices.
Economic analysis of a project initiated by Agrinova to encourage cows to move from the pasture to the milking parlor.
Researcher: Luc Belzile