Journal
JOURNAL OF DAIRY SCIENCE
Volume 105, Issue 4, Pages 3282-3295Publisher
ELSEVIER SCIENCE INC
DOI: 10.3168/jds.2021-20877
Keywords
across-countries international genomic prediction evaluation; estimation of single nucleotide polymorphism effect; multitrait across-countries evaluation; national proof; Brown Swiss
Funding
- Interbull Centre team in Uppsala, Sweden
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The study investigates the level of bias and reliability of cross-country genomic predictions using national EBV or MACE EBV as dependent variables. The results show that, in most cases, using MACE EBV via single-trait approach can lead to less biased and more reliable cross-country genomic predictions.
In across-country genomic predictions for dairy cattle, 2 kinds of bull information can be used as dependent variables. The first is estimated breeding value (EBV) from the national genetic evaluations, assuming genetic correlations between countries are less than 1. The second is EBV from multitrait across-countries evaluation (MACE), assuming genetic correlations between countries equal 1. In the present study, the level of bias and reliability of a cross-countries genomic prediction using national EBV or MACE EBV as the dependent variable were investigated. Data from Brown Swiss Organizations joining the InterGenomics Service by Inter bull Centre (Uppsala, Sweden) were used. National and MACE EBV of 3 traits (protein yield, cow conception rate, and calving interval) from 7, 5, and 4 countries, respectively, were used, resulting in 16 trait-country combinations. Genotypes for 45,473 SNP markers and deregressed (national or MACE) EBV of 7,490; 5,833; and 5,177 bulls were used in analysis of protein yield, cow conception rate, and calving interval, respectively. For most of trait-country combinations, the use of MACE EBV via single-trait approach resulted in less biased and more reliable across-countries genomic predictions. In case some of the MACE EBV might have been inflated, the resulting single-trait genomic predictions were inflated as well. For these specific cases, the use of national EBV via multitrait approach provided less bias and more reliable across-countries genomic predictions.
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