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September 10, 2025Journal of Dairy ScienceOpen Access

Efficient implementation of multitrait random regression test-day models with external information for dairy cattle genomic evaluations

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This analysis shows improved genomic evaluations for dairy cattle by integrating MACE data, enhancing reliability and efficiency.

The model integration led to highly efficient genomic evaluations, achieving convergence in all tested scenarios.
Correlation between complete and partial genomic breeding values ranged from 0.95 to 0.98, demonstrating strong validation.
Applying the algorithm for proven and young resulted in a tenfold increase in computational speed compared to standard genomic methods.
MACE integration improved correlation of reliability estimates by 3% for BLUP and 2% for ssGBLUP, indicating enhanced accuracy.

Álvarez-Múnera et al. (2025) studied this question.

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