Genomic quality prediction must account for breed-specific signals

Genomic selection in beef cattle cannot simply be transferred from one breed to another. A study published on 28 October in the Journal of Animal Science examined genomic associations with eye-muscle area and intramuscular fat in two purebred populations—Angus and Hereford—and three crossbred populations: Brangus, Santa Gertrudis and Speckle Park.

The dataset was substantial: phenotypic and genomic records from more than 66,000 bulls and more than 56,000 heifers were analysed for eye-muscle area, while more than 65,000 bulls and 54,000 heifers were included for intramuscular fat. The authors identified associated regions shared across several populations, but also breed-specific signals. They link these differences, among other factors, to differing allele frequencies and linkage-disequilibrium patterns.

The result is not a promise of a simple universal prediction tool. Instead, it indicates that multi-breed evaluation systems should combine shared markers with population-specific weighting. This matters particularly for quality traits: marbling and muscular development are not merely breeding targets; they influence carcass value and the eating experience of the final product.

The implication for the meat chain is clear. Genetics can improve predictability, but it cannot replace product specification. Genomic data need to be connected with management, feeding, age, carcass data and the intended market. Only then can they help translate quality targets into breeding decisions and, later, into differentiated meat offers.