This project will result in the generation of mathematical models that will predict the quality and sustainability of protein-based ingredients that are commonly used in dog diets. With the projected growth of human and pet populations, and increases in food production necessary to meet growing demands, providing Canadian pet food companies (such as our industry partner, Champion Petfoods) with the ability to rapidly identify ideal protein-based ingredients to select for dog diets based on environmental, financial, and biological sustainability is a top priority.
The spread of endemic and emerging infectious diseases continues to plague the dairy industry. The convergence of human, animal, and ecosystem interactions results in emergence and re-emergence of diseases in dairy cattle such as salmonellosis and anaplasmosis. Adding to the mix, frequent buying of cattle contributes to rapid dissemination of infectious diseases in dairy cattle. The University of Guelph is exceptionally well-positioned to lead the development and implementation of a surveillance network based on bulk tank milk.
Graphene is considered a strategic nanomaterial for the development of clean technologies due to its unique properties. According to Allied Market Research, the global graphene market was valued at US $91.3 million in 2019, and is projected to grow to US $1.4 billion by 2027 at a compound annual growth rate (CAGR) of 40.2% from 2020 to 2027. Currently, there are no clean and cost-effective technologies available for the mass production of graphene. ZEN Graphene Solutions Ltd.
Global biodiversity is declining due to habitat loss and protected areas provide an opportunity to prevent this. While governments create and manage most protected areas in the world, non-governmental organizations can also play a significant role in the acquisition and management of properties for the purpose of conserving biodiversity. We propose to measure the Nature Conservancy of Canada’s contribution to the protection of biodiversity in Canada.
Rural communities and regions throughout Canada struggle with economic restructuring. Influences of globalization and technological advancement contribute to the continually shifting economic reality confronting rural communities. This research focuses on understanding the economic implications of changes in federal policies related to cannabis legalization to rural regions, specifically the Kootenay Region of British Columbia.
Mushrooms represent a source of diverse medicinal compounds that have been exploited for centuries. Beneficial compounds have proven efficacy against disease, including anti-fungal, anti-viral, anti-tumoral, anti-bacterial traits. These compounds, along with potential for new discoveries, drive the exploration of mushrooms as a powerful medicinal source and supports their application in the health sector to discover new treatments against disease.
Understanding swine metabolism is important to the pork industry, for the improvement of feed efficiency and meat quality, in addition to animal wellbeing. We have recently discovered two stress genes (Luman/CREB3 and LRF/CREBRF) that regulate animal responses to stress. Mutation of these Luman or LRF gene resulted in animals that are more tolerate to stress, in the meantime being lean with very low abdominal fat. Here we propose to further our study on how these genes regulate metabolism using a swine liver cell system.
With the recent legalization of recreational cannabis in Canada, cultivation of cannabis sativa has increased significantly, including rapid adoption of outdoor cultivation. Given the cheaper cost of production compared to indoor cultivation, the growth in outdoor cultivation will likely outpace that of indoor. However, while outdoor cannabis cultivation faces many of the same pest challenges as indoor cultivation, there are no pesticides registered for outdoor cannabis. Growers must rely on other integrated pest management (IPM) tactics to manage pests.
Borealis AI has access to a huge amount of financial data related to the stock market and is interested in leveraging recent developments in machine learning to better understand this data. Some potential questions emerging from this data are: (1) Given the closing price of a stock in the recent months, can we predict the stock returns within the next month? (2) If a stock crisis occurs, can we predict and control the spread of the crisis? (3) Given the current stock’s history, can we help reduce the risk of investment?.
Canada is a signatory to global commitments to reduce greenhouse gas levels and one important way this will happen is through the implementation of nature-based solutions for climate change. One example of natural climate solutions is GHG offsets based on restoration, protection and establishment of forests, wetlands, grasslands and peatland areas. Indigenous Peoples are critical to the success of natural climate solutions.