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U of G Researcher Exploring Automation for Better Dairy Health, Production
By Vanessa Virgo
University of Guelph PhD candidate Patty Kedzierski is using automated data collection to develop individualized feeding plans for dairy cows. Aiming to improve cow health and production, her research analyzes differences in dairy balance to tailor nutrition to each animal’s needs. Most farms currently use a total mixed ration, feeding all cows the same diet based on top-performing animals. Kedzierski’s work offers a more...
Data Science: On the Forefront of Feline Veterinary Medicine
Photo Credit: Theresa Bernardo
By Ashleigh Martyn
Many veterinarians use data to help keep farm animals healthy, but data is less fully employed to prevent or predict illness among companion animals. Dr. Theresa Bernardo, Department of Population Medicine, and her team are using big data to investigate the average weight of cats over their lifetimes and help prevent disease.
Bernardo holds the IDEXX Chair in Emerging...
Data Science: Exploring 19th-Century Innkeeping
Photo credit: Kevin James
By Sydney Pearce and Cate Willis
Kevin James, a professor in the Department of History and Head of the Tourism History Working Group, is studying the history of inns and hotels in Ireland, Scotland, Wales, England and the Isle of Man in the 19th century. He transcribes digital records of hotel books to explore the...
New Apple Variety at U of G May Juice Up Cider Industry
Providence crab apple
By Cate Willis
A University of Guelph researcher has developed a new apple variety that holds promise for the cider industry.
Dr. John Cline, a professor of pomology and tree fruit physiology in the Department of Plant Agriculture at the Ontario Agricultural College, bred and developed Providence, a crab apple that has crimson-coloured flesh and produces crimson-coloured juice when...
U of G Researchers Apply New Method for Detecting Salmonella Bacteria
By Abbey Drew
University of Guelph researchers have developed an advanced molecular tool to improve surveillance and detection of Salmonella in poultry. Using a method called CRISPR-SeroSeq, the team can identify multiple Salmonella serotypes in a single sample, offering more accurate monitoring and aiding outbreak investigations. Led by Dr. Shu Chen and Dr. Carlos Leon-Velarde from the Agriculture and Food Laboratory, this research enhances existing food safety...
Data Science: Better Breeding Stock Through Biomarkers
Dr. Julang Li (centre) lab group
By Mya Kidson
Biomarkers—measurable health indicators such as bodily fluids—offer many details about the risk of developing disease, overall health status and even the reproductive abilities of an organism. University of Guelph researchers are studying the use of biomarkers in female pigs, also known as gilts, to find individuals with high reproductive potential for breeding stock.
Dr. Julang Li, Department...
U of G Spin-Off Named One of Canada’s 50 Most Investable Clean-Tech Companies
Psigryph co-founder Dr. Gopi Paliyath was passionate about finding a home in industry for his research (Photo credit: Richard Bain Photography)
Psigryph, an innovative company built on University of Guelph research into naturally derived nanoparticles to deliver nutrition and medicine into cells, has been named one of Canada’s most investable cleantech firms by cleantech accelerator Foresight Canada.
The innovative Guelph-based company was co-founded in 2018 by Department of Plant Agriculture researcher Dr. Gopi Paliyath, who passed away in September 2022, and...
Data Science: Connecting Communities Through Creativity
By Sydney Pearce and Caitlin Ford
Mitigating COVID-19 isolation for vulnerable seniors and children is the goal of an innovative project led by a University of Guelph history professor.
Launched during the pandemic by Dr. Kim Martin, Connecting Generations Art Journals is intended to bring together two...
Data Science: Social Media as a Disease Detection Tool
By Mya Kidson
University of Guelph research suggests that Twitter’s big-data capabilities make it useful for improving disease surveillance and public safety.
Dr. Rozita Dara, a computer science professor in the College of Engineering and Physical Sciences, and Dr. Shayan Sharif, a pathobiology professor at the Ontario Veterinary College, have...
Data Science: Promoting Early Disease Detection in Robotic Milking Systems
Robotic milking systems can lead to early disease detection in dairy herds.
By Sydney Pearce and Cate Willis
Analyzing thousands of robotic milking system records has taught University of Guelph dairy researchers a vital lesson—cow behavioural changes documented by such systems can help predict certain disease events earlier.
On-farm, these systems can let farmers know that cows are unwell up to four days or more before milk yields drop, allowing farmers to intervene sooner, says Dr. Trevor DeVries, a professor in the Ontario Agricultural College.