|Selection of breeding cattle based on degree of immune response is transforming the global dairy industry. It can lead to healthier cows. When such animals are challenged by a bacteria or virus and don’t show signs of illness, or because of their immune response genetics, they get over an infection quickly compared to others, hence considered to be naturally healthier. They individually require less attention and intervention, and at the herd level, the overall potential risk of antibiotic use is reduced.
Join us at 1pm (EST) on July 17th for a background on the over 20 years of research and development into Immunity+® technology offered exclusively through Semex. Dr. Larmer will cover how the technology works and the impact it has had on dairy farms worldwide since its launch in 2012.
Dr. Steven Larmer currently serves as Geneticist & Business Analyst for Semex after joining the company in October 2015 as the Global Dairy Solutions Coordinator.
Steven provides technical expertise and functional leadership over the development and enhancement of internal and client-facing Semex solutions. Utilizing his depth of analytical skills and close collaboration with Semex’s Research & Innovation Teams, Steven plays a key role in the further validation and expansion of Immunity+. Additionally, Steven works cross-functionally to provide analysis and support on business process optimization.
He is also Semex’s technical lead of our exclusive Immunity+® technology, providing genetic education to our global sales staff and clients, working closely with our Product Development and Research Teams.
Steven grew up on his family’s Vintage Land and Cattle Ltd farm in Ontario. Following his passion in his educational studies, Steven attended the University of Guelph completing his BSc in animal biology and his MSc in animal science. As his interest in research and genetics advanced, Steven completed his PhD in Animal Science, with a focus on dairy cattle breeding and genomics. His research focused on using the whole genome sequence data to help better understand the bovine genome, and to try to understand the genetic architecture of important traits, especially those related to rare diseases affecting dairy cattle.