期刊
JOURNAL OF DAIRY SCIENCE
卷 105, 期 2, 页码 1281-1297出版社
ELSEVIER SCIENCE INC
DOI: 10.3168/jds.2021-20849
关键词
genomic relationships; pedigree relationships; mating program; linear programming
资金
- Swedish project Liv-sID
This study compared mating allocations in Nordic Red Dairy Cattle using genomic information, optimizing economic scores while considering genetic level, semen cost, and recessive genetic defects. High correlations were found between pedigree and genomic relationship measures. Linear programming efficiently maximized economic scores for all herds studied, suitable for mating software used by advisors and farmers.
In this study, we compared mating allocations in Nordic Red Dairy Cattle using genomic information. We used linear programming to optimize different economic scores within each herd, considering genetic level, semen cost, the economic impact of recessive genetic defects, and genetic relationships. We selected 9,841 genotyped females born in Denmark, Finland, or Sweden in 2019 for mating allocations. We used 2 different pedigree relationship coefficients, the first tracing the pedigree 3 generations back from the parents of the potential mating and the second based on all available pedigree information. We used 3 different genomic relationship coefficients, 1 SNP-by-SNP genomic relationship and 2 based on shared genomic segments. 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 measures, but it was best done with genomic measures. Linear programming maximized 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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