It was while studying Animal Science as an undergraduate that the concept of ‘how characteristics are inherited across generations’ struck Dan Hailemariam’s curiosity. He pursued that curiosity in a Master’s program in Applied Genetics at Addis Ababa University, Ethiopia. However, it was at the University of Bonn, Germany, where he completed his PhD on cattle molecular genetics that his ideas about his career and research coalesced.
“I see myself as always researching to understand more about animal science,” he says. “My goal is to help solve the challenges of modern dairy cattle production, specifically, improving feed efficiency and reducing greenhouse gas emissions.”
A post-doc position at UAlberta, screening biomarkers for dairy cow diseases under Dr. Burim Ametaj, brought Dan to Edmonton. When that project ended, he sought out Gentec as a centre with a good reputation in carrying out genetics research. In fact, he credits Gentec with helping him understand and define himself. He tells it this way:
“At one of my first group meetings, Graham [Plastow, Gentec CEO] talked about Gentec’s core values: trust, excellence, learning and leadership. He said, ‘if you’re not learning, come and see me.’ I thought, this is where I want to be. These are the values I share. I’m ambitious and I believe in hard work. Here, I can be the best of myself. His words changed my life, the way I think, and the way I do. I make sure I learn every day.”
Currently, Dan is a Research Associate working on a project out of UoGuelph with Gentec-associated researcher Christine Baes to develop genomic tools to enable implementation of selection to increase dairy cow resilience. The project is a 4-year international collaboration. As part of UAlberta’s dairy group, Dan is involved in expanding the reference population for feed efficiency and methane emissions, and developing methods to utilize milk spectra data.
Dan’s own research focuses on identifying biomarkers of feed efficiency, and understanding the metabolic adaptations of feed-efficient lactating dairy cows. He uses a systems biology approach that integrates multi-omics data (genomics, metabolomics and proteomics) to understand the physiology of feed efficiency. This approach also helps identify reliable, cost effective and easily-detectable biomarkers of feed efficiency, which could lead to tools that facilitate the selection for feed-efficient cows, and help dairy farmers save on feed costs and reduce the carbon footprint of dairy production.
One interesting result that has been published is “Comparative analyses of enteric methane emissions, dry matter intake and milk somatic cell count in different feed efficiency categories of dairy cows” in the Canadian Journal of Animal Science. In that research, the team showed that the most efficient cows consume 12.9% less feed and emit 15.5% less methane compared to the least efficient cows for the same level of milk production. The most efficient cows also had lower milk somatic cell count, indicating desirable correlation between subclinical mastitis and feed efficiency in dairy cows.
“At Gentec, every day is exciting,” concludes Dan. “I like my work because the more I engage, read, write, design and conduct experiments, analyze and interpret data, the better I am becoming, and the more I find myself. I feel good about it. I’m optimistic that I will be part of an accomplishment that develops tools to improve feed efficiency and reduce GHG emissions from dairy cattle.”