Approximating genomic reliabilities for national genomic evaluation

Zengting Liu

Abstract


With the introduction of standard methods for approximating effective daughter/data contribution by Interbull in 2001, conventional EDC or reliabilities contributed by daughter phenotypes are directly comparable across countries and used in routine conventional evaluations. In order to make published genomic reliabilities comparable across countries and consistent with conventional reliabilities, a working group for genomic reliability calculation developed a new method that is feasible for any number of genotyped animals and also adjusts theoretical model genomic reliabilities based on genomic validation results. The first step of the proposed reliability method calculates reliabilities contributed by SNP genotypes via an efficient software snp_blup_rel. This new genomic reliability method accounts for the residual polygenic effect in genomic evaluation and is applicable to both single-step and multi-step genomic models. The adjustment procedure makes the changes in genomic reliabilities reflecting the changes in GEBV and ensures candidates genomic reliabilities from an early evaluation being consistent with later genomic reliabilities when the animals have received phenotype data. The proposed reliability method was applied to a large German Holstein population. Adjustment factors for the theoretical model genomic reliabilities were derived based on a genomic validation study via Interbull GEBV Test. Results from the test implementation for German Holsteins demonstrated high efficiency and feasibility of the proposed genomic reliability method. Several aspects have been discussed for future optimisations. All involved countries were requested to test the software snp_blup_rel and proposed genomic reliability method. Depending on the country feedbacks, the software and the proposed genomic reliability method will be fine-tuned towards an official implementation by all the involved countries.

Keywords


genomic reliability; genomic evaluation; genomic validation; single-step genomic model

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