Genomic data management and the future of breeding values with Dan Garrick
Notas do episódio
What does it take to build the data systems that sit behind your genetic evaluations?
This week on the podcast, Ferg catches up with Dan Garrick from Helical. Dan grew up on a sheep, beef and venison farm in the Manawatu before moving to the US at 13, where he went on to complete a PhD in aerospace engineering at Iowa State University. He's the son of Professor Dorian Garrick, one of New Zealand's most respected animal breeding geneticists, and his grandfather was one of the world's leading experts on sharks, making Dan a third-generation PhD.
Dan explains how the same maths used to model fluid dynamics around rockets is used to generate breeding values, and how he ended up joining the family business in 2017 to help roll out some of the first production single step evaluations in the US for American Hereford and IGS. That work quickly revealed a major bottleneck in managing the genomic data flowing in from DNA testing labs. That's where Helical was born.
Ferg and Dan talk through how Helical now serves breed societies, genetics companies, universities and labs across beef, dairy, sheep, horses, dogs, aquaculture and forestry. They also look ahead at where things are going. From decision support tools and AI in commercial herds, to the potential for wearable devices like virtual fencing collars to generate entirely new breeding values nobody has thought of yet - both Dan and Ferg agree the future is bright for Agriculture.
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