Abstract
In this study, we compared mating allocations in Nordic Red Dairy Cattle using genomic or pedigree information. We used linear programming to optimise different economic scores within each herd, considering genetic level, semen cost, the economic impact of recessive genetic defects, and genetic relationships. We found high correlations (≥0.83) between the pedigree and genomic relationship measures. The mating results showed that it was possible to reduce the different genetic relationships between parents with minimal effect on genetic level. Including the cost of known recessive genetic defects eliminated expression of genetic defects. It was possible to reduce genomic relationships between parents with pedigree information, but it was best done with genomic measures. Linear programming maximised the economic score for all herds studied within seconds, which means that it is suitable for implementation in mating software to be used by advisors and farmers.
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