Optimization of a multiple trait selection index for replacement heifers to reduce production costs and increase sustainability of beef production
Feed efficiency, feed intake, production performance, and fertility are major determinants of sustainable beef production. Understanding genetic correlations among these traits is crucial for optimizing multiple trait selection indices that improve calf crop percentage and sustainability. This project aims to develop a genomic selection tool for improved feed efficiency while maintaining or improving heifer/cow reproductive performance. An accurate and reliable multi-trait selection index for heifers and cows will improve feed efficiency and sustainability, as well as profitability and competitiveness. Production of more efficient cows with improved performance will reduce production cost and carbon intensity.
For more information on this project or genomic testing and indexes, please contact Livestock Gentec:
Institution: University of Alberta and Agriculture and Agri-Food Canada
Primary Investigator: John Basarab (UAlberta
Co-Primary Investigator: Changxi Li (AAFC)
Term: 2018 - 2023
Funding: $1,047,314 from BCRC