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The next wave of technology available to livestock producers, including beef producers, is genomics. This new technology allows us to estimate genetic merit for existing traits earlier in life; for new traits; and more accurately for traits that we currently evaluate. This project will develop a new approach to beef cattle selection, one that allows […]

The beef industry represents the single largest contribution to farm cash receipts in Canada; Alberta being the largest beef producing province (cow/calf, feedlot, and packing). Therefore, effective tools to improve the competitive position of the beef industry will be of direct benefit to Alberta and Canada at large. This project seeks to improve beef quality

The overall goal of this research proposal is to identify molecular biomarkers that are associated with the early prediction, diagnosis, and monitoring of major metabolic and infectious diseases of dairy cattle. Dairy cows are commonly afflicted with a variety of debilitating conditions such as mastitis (udder infection), metritis (uterine infection), laminitis, infertility, ketosis, milk fever,

This project seeks to investigate the potential role of non-coding RNAs, including microRNAs (miRNA), in the control of zoonotic infections in pigs (Salmonella) and cattle (E. coli 0157:H7). MicroRNAs have been shown to control several aspects of human/mouse immune responses but have been poorly investigated in livestock immunity. The long-term goal of the project is

Mannheimia haemolytica is an important bacterial pathogen associated with bovine respiratory disease (BRD) in cattle. The economic losses it generates surpass those incurred by all other diseases of cattle combined, arising from production losses, treatment costs and mortalities. The most widely used method to control BRD is antibiotic administration. However, concerns regarding the use of antibiotics

The Visual Genomics Centre (VGC) at the University of Calgary has provided bioinformatics support for three Genome Canada Applied Genomics in Bioproducts or Crops (ABC) projects. As the main products of the bioinformatics support, the Centre has developed and hosted four bioinformatics analysis pipelines for these projects, each of which has been used heavily by

Large-scale and ultra-high throughput DNA sequencing provides a means to accelerate the discovery of unique enzymes for the biosynthesis of complex plant metabolites, enabling their production in microbial hosts under controlled conditions. The key deliverables of this project are: (1) a public resource of genomic and metabolomic information for 75 plants producing bioactive natural products,