Data Science: Centre for Genetic Improvement of Livestock

Four men standing around an IBM 360 computer at the University of Guelph

 

By Alicia Bowland

The IBM System 360 was the first family of computer systems to accomplish a full range of computer applications; the first IBM 360 computer delivered to a Canadian university came to the University of Guelph’s then Department of Animal Science in 1966. Expertise grew and in 1985, computer technology-based genetic research led to the establishment of the Centre for Genetic Improvement of Livestock (CGIL). 

The centre grows its database by collecting producer information through a consortium of international data-sharing research endeavours. Most research projects at CGIL are genomics-based and focus largely on dairy, but they also include beef, pork, pigs, poultry, fish, horses and companion animals. Researchers collect vast amounts of data from collaborators and apply statistical modelling to make predictions and reach conclusions for selective improvement of animals. 

Genotype, DNA and DNA marker information are key components of CGIL’s data collection. Behavioural and production information is also collected to establish relationships or patterns between data sets.  

“We analyze the data to figure out what makes an animal’s genome better or worse at what they do,” says Dr. Andy Robinson. “Basically, we want to know the ‘good bits’ of DNA for improved animal production.” 

The DNA analysis done at CGIL is used to select ideal animals for breeding programs. 

“Animal agriculture is a challenge,” says Robinson. “Ultimately, we would like to be able to breed animals for a sustainable, more environmentally friendly and productive future.” 

Today, much of the work done at CGIL focuses on reducing the ecological footprint of animal production. Producers need to increase output without more inputs and with less environmental impact, all through innovations in animal biosciences and genetics.  

CGIL is supported by partnership grants and funding.