Improving Breeding Value Reliability with Genomic Data in Breeding Groups of Charolais
Michaela Brzáková,
Zdeňka Veselá,
Jan Vařeka
et al.
Abstract:The aim of this study was to assess the impact of incorporating genomic data using the single-step genomic best linear unbiased prediction (ssGBLUP) method compared to the best linear unbiased prediction (BLUP) method on the reliability of breeding values for age at first calving, calving interval, and productive longevity at 78 months in Charolais cattle. The study included 48,590 purebred Charolais individuals classified into four subgroups based on genotyping and performance records. The results showed that… Show more
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