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Dorian’s research interests are broadly involved in the genetic improvement of populations through selection. Dorian views animal breeding in a systems context, involving the integration of knowledge and understanding of business goals, production systems, processing and marketing, in concert with quantitative and molecular genetics. In recent years, his activities have focused on the use of genomic data to predict offspring performance. These endeavours include theoretical aspects of prediction, the development of software to apply the statistical theory to real-life data, and the application of the software to national and international datasets for a wide variety of traits representing a range of livestock and other species. This encompasses design, enhancement, implementation and monitoring of genetic improvement programs. He has received international awards for these activities, including two from the American Society of Animal Science and one from the American Dairy Science Association. Dorian works well with other researchers and equally enjoys working with enthusiastic producer and industry groups that seek to include animal breeding approaches in the attainment of their farm or ranch business goals.
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Journal of dairy scienceno. 11 (2023): 7846-7860
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Animal geneticsno. 5 (2023): 632-636
Melissa A. Stephen,Chris R. Burke,Jennie E. Pryce, Nicole M. Steele, Peter R. Amer,Susanne Meier, Claire V. C. Phyn,Dorian J. Garrick
AGRICULTURE-BASELno. 4 (2023): 898-898
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