Genetics and Genomics Commons^™

Genome-Wide Association Study For Feed Efficiency And Growth Traits In U.S. Beef Cattle, Christopher M. Seabury, David L. Oldeschulte, Mahdi Saatchi, Jonathan E. Beever, Jared E. Decker, Yvette A. Halley, Eric K. Bhattarai, Maral Molael, Harvey Freetly, Stephanie L. Hansen, Helen Yampara-Iquise, Kristen A. Johnson, Monty S. Kerley, Jaewoo Kim, Daniel D. Loy, Elisa Marques, Holly L. Neibergs, Robert D. Schnabel, Daniel W. Shike, Matthew L. Spangler, Bob Weaber, D. J. Garrick, Jeremy F. Taylor

Department of Animal Science: Faculty Publications

Background: Single nucleotide polymorphism (SNP) arrays for domestic cattle have catalyzed the identification of genetic markers associated with complex traits for inclusion in modern breeding and selection programs. Using actual and imputed Illumina 778K genotypes for 3887 U.S. beef cattle from 3 populations (Angus, Hereford, SimAngus), we performed genome-wide association analyses for feed efficiency and growth traits including average daily gain (ADG), dry matter intake (DMI), mid-test metabolic weight (MMWT), and residual feed intake (RFI), with marker-based heritability estimates produced for all traits and populations.

Results: Moderate and/or large-effect QTL were detected for all traits in all populations, as jointly …