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- W4319736519 abstract "The ability to accurately predict breed composition using genomic information has many potential uses including increasing the accuracy of genetic evaluations, designing mating plans, traceability and genotype quality control. While software exists to estimate breed composition, the ability to exploit existing pipelines used in genomic evaluations for breed prediction could be advantageous. Utilising 49,213 single nucleotide polymorphisms (SNPs), the breed composition of 3,146 purebred and 4,330 crossbred cattle was estimated using both SNP-BLUP and Admixture. The accuracy of low-density panels to predict breed composition was also evaluated. The average mean difference in predicted breed composition between SNP-BLUP and Admixture was 0.000 and 0.048 for purebreds and crossbreds, respectively. Both methods accurately assigned ≥98% of the purebred validation population to the correct breed. SNP-BLUP required 2,000 and 3,000 SNPs to accurately predict purebred and crossbred breed composition, respectively; the respective values for Admixture was 500 and 1000 SNPs." @default.
- W4319736519 created "2023-02-11" @default.
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- W4319736519 date "2022-12-31" @default.
- W4319736519 modified "2023-10-16" @default.
- W4319736519 title "173. Evaluating the use of genotype information for the prediction of breed composition in purebred and crossbred cattle" @default.
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- W4319736519 doi "https://doi.org/10.3920/978-90-8686-940-4_173" @default.
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