Improving the Stability of the Test-Day Repeatability Model for Production Traits in Italian Brown Swiss
Abstract
The genetic evaluation of Brown Swiss cattle has undergone a significant methodological improvement with the introduction of a new algorithm designed to enhance the accuracy and stability of genetic indices for productive traits. This innovation addresses issues observed in previous models, particularly the significant variability in early evaluations of genomic bulls. The updated model incorporates a classification system for herds based on productivity differences between primiparous and multiparous cows, ensuring more precise genetic assessments. The new approach has resulted in greater stability in genetic indices and reduced the impact of initial data distribution biases. This advancement strengthens the reliability of genetic evaluations, supporting breeders in achieving their productivity goals.
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