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Canadian Bovine Mastitis Research Network

Our Research  I  Our Results 

Answering Tough Questions about Mastitis

Mastitis raises several questions to which research has not found an answer yet, due to a lack of relevant data. Fortunately, at the Canadian Bovine Mastitis Research Network (CBMRN), this particular problem has been solved! With the creation of a comprehensive database on dairy farms that reflects the Canadian dairy industry, there are no limits to what we can hope for!
Kristen Reyher is a veterinarian and a Ph.D. student at the Atlantic Veterinary College of the University of Prince Edward Island. The CBMRN database, created from the results of the National Cohort of Dairy Farms, represents for her a golden opportunity to test several hypotheses related to the dynamics of mastitis. Using complex mathematical models like artificial neural network, Kristen will study the interactions between healthy and infected quarters of the same cow and between different bacteria that cause mastitis.
Her work will lead, among other things, to the development of a practical protocol for diagnosing mastitis using information readily available at the farm. Here are a few examples of tough questions Kristen will find answers to through her research:
  • Is a composite sample as useful as a sample from a single quarter;
  • to predict udder infections?;
  • Do infections caused by minor bacteria actually protect cows from more severe forms of mastitis?;
  • Does the presence of an infection in a quarter influences the risk of developing another infection in another quarter?

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Cohort data bank