Angus Australia


Project Design

To evaluate the difference in the average progeny performance of high and low performing sires within each cohort of the ASBP, progeny performance data was collected for all major traits and the standard BREEDPLAN adjustments and contemporary groupings applied.

Performance data such as shear force, MSA index, MSA ossification and MSA marbling that are not included in the routine Angus BREEDPLAN analysis were split into the same contemporary groups as carcase weight. The performance data was then analysed through the Statistical Analysis System (SAS) to generate least squares means (LSMs), being each sire’s average progeny performance for each trait.

Once the sire LSMs were obtained, the average progeny performance for the highest five and lowest five performing sires in each cohort were calculated for each respective trait, followed by the conduct of a T-test to quantify whether the difference in progeny performance between the highest and lowest performing sires was statistically significant or not.