References
Analysis of genetic and performance data in dairy herds

Abstract
Herd performance is a function of genetics and management. Understanding the environment and genotype is therefore essential when providing proactive herd health advice. This review explains how genetic data are calculated and used, and offers insight into assessing genetic expression by analysing performance data. Optimal management enables cows to express their genetic potential. Where genetics are not being expressed, vets and consultants should provide advice to improve management.
In recent years, genetic progress has accelerated, largely because of advances in the genomic testing of bulls (Guinan et al, 2023). This has shortened the generation interval and increased the rate of genetic improvement (García-Ruiz et al, 2016). Bulls are now marketed based on genomic breeding values before any phenotypic data are available from their progeny. Another significant development is the improvement in the quality and availability of dairy-sexed semen, allowing farmers to be more selective about which animal replacements are bred from. Conception rates to sexed semen have improved and are now between 83% and 100% as effective as conventional semen (Crites et al, 2018; Oikawa et al, 2019; Irish Cattle Breeding Federation, 2023).
Data quality is also improving. In the UK in 2023, 20% of heifer registrations were genomically tested, representing a significant increase in recent years (Agriculture and Horticulture Development Board (AHDB), 2024). This compares with 20–25% of heifers registered in the US(CoBANK, 2024).
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