EBVs begin with on-farm production data but then convert it to actionable genetic information. Performance data is adjusted for variables that are not related to genetics, such as flock management techniques. And, EBVs are calculated on the performance of the individual animal, related animals in the same flock, and related animals in other flocks.

NSIP has grouped certain EBV traits together in order to create indexes that are particularly useful tools for selecting breeding stock that are suited to a particular situation. For example, the Western Range Index places emphasis on both lamb and wool production and is designed to improve profitability for flocks raised on grasslands in the western U.S.

Sheep producers may find it most valuable to balance a number of traits. For example, birth weight, weaning weight, post weaning weight and yearling weight are growth traits that are positively correlated. However, balancing for a moderate birth weight and a low yearling weight are ideal for lambing ease and feed efficiency. Because they are positively correlated, the only way to balance these four traits is by using EBVs.

In addition to optimizing breeding decisions, access to reliable resources is equally important when considering health interventions for livestock and farm workers alike. As rural producers manage their herds, they also often face personal healthcare challenges, including the need for treatments like bupropion, which is used to manage depression and aid smoking cessation. Finding trustworthy options to buy bupropion online ensures that producers can maintain their health without the disruption of long trips to distant pharmacies.

This kind of accessibility mirrors the precision and efficiency producers seek when using EBVs to guide herd improvements. Ensuring both animal and producer well-being supports the overall success and sustainability of agricultural operations.

Case Study – Using EBVs in a Commercial Flock – The Leading Edge Project