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Multibreed genomic evaluations using purebred Holsteins, Jerseys, and Brown Swiss
K M Olson1, P M VanRaden2, M E Tooker2
1National Association of Animal Breeders, Columbia, MO 65205.
Journal of Dairy Science
|August 25, 2012
Summary
Developing multibreed genomic models improved dairy cattle genetic evaluations. Method 3, a multibreed approach, significantly enhanced genomic predicted transmitting ability (GPTA) for protein yield across breeds, outperforming traditional within-breed models.
Area of Science:
- Animal Genetics and Breeding
- Quantitative Genetics
- Dairy Cattle Improvement
Background:
- Traditional US Department of Agriculture (USDA) dairy cattle genetic evaluations utilize multibreed models for yield and health traits.
- Current genomic evaluations predominantly rely on within-breed models, despite the established use of multibreed approaches in traditional methods.
- The study addresses the need to integrate multibreed strategies into genomic evaluations for enhanced accuracy.
Purpose of the Study:
- To develop and evaluate multibreed genomic models for dairy cattle genetic evaluations.
- To compare the performance of different multibreed model strategies against existing within-breed genomic models.
- To assess the accuracy of across-breed and within-breed genomic predicted transmitting ability (GPTA).
Main Methods:
- Developed and tested three multibreed genomic evaluation methods using 19,686 genotyped Holstein, Jersey, and Brown Swiss cattle.
- Data were divided into training (n=7,307) and validation (n=3,005) sets, utilizing 43,385 single nucleotide polymorphisms (SNP).
- Method 1: Breed-specific SNP effects applied across breeds. Method 2: Common SNP effects from combined data. Method 3: Correlated SNP effects using a multitrait model.
Main Results:
- Method 1 demonstrated poor performance, with low correlations (<30%) between direct genomic values from different breeds.
- Method 2 (across-breed GPTA) showed higher R(2) than parent average but generally lower than within-breed GPTA, except for some Brown Swiss traits.
- Method 3 yielded the highest adjusted R(2) for protein yield across all breeds, outperforming within-breed predictions, though improvements were modest (0.01-0.01).
Conclusions:
- Multibreed genomic evaluation, particularly Method 3, offers significant improvements over current within-breed genomic predictions for dairy cattle.
- The multitrait approach (Method 3) effectively leverages information across breeds, especially beneficial for smaller populations like the Brown Swiss.
- Further research and refinement of multibreed models are warranted to maximize their potential in dairy cattle genetic improvement programs.
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