This tool offers a computational method for predicting the genetic merit of an animal for specific traits. It uses performance data, pedigree information, and potentially genomic data to generate a numerical estimate representing the animal’s expected contribution to its offspring’s genetic potential. For example, a dairy farmer might use this to select bulls with high predicted genetic merit for milk production, aiming to improve the milk yield of the next generation of cows.
The application of such a prediction method provides significant advantages to breeding programs. It facilitates more informed selection decisions, accelerating genetic progress for desired traits. This is particularly important in livestock and crop breeding, where improvements in yield, disease resistance, or other economically valuable characteristics can substantially increase productivity and profitability. Historically, breeders relied on visual appraisal and pedigree analysis; this technological advancement enables a more objective and precise assessment of breeding potential.
