A platform to aid producers in herd genetic management will increase genomic tool adoption and improve beef production efficiency and quality
Constant improvement of beef production efficiency and quality is essential to enhance the competitiveness of the beef industry. A key strategy to improve beef production efficiency and quality is to manage the genetics of the whole cattle herd to achieve optimal beef production performance. This project aims to refine and demonstrate the Genomics Whole Herd Management Platform to the beef industry. The platform will allow beef producers to easily access information on the genomic profile of their herd including status or ranking of genetic merit for production traits and hybrid vigour. Based on the genomic profile, producers will be able to select breeding stock (sire and dam) that will optimize genetic gain and improve efficiency and profitability.
Download the full project summary here.
For more information or to participate in the project contact Michael Vinsky:
michael.vinsky@ualberta.ca
https://www.beefgenomicprediction.ca/
Institution: Agriculture and Agri-Food Canada
Primary Investigator: Changxi Li
Co-Primary Investigator: John Basarab (UAlberta)
Term: 2021 - 2024
Funding: $318,900 from BCRC