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Technical note: Methods for interim prediction of single-step breeding values for young animals.

E C G Pimentel¹, C Edel¹, R Emmerling¹

¹Institute of Animal Breeding, Bavarian State Research Center for Agriculture, 85586 Grub, Germany.

Journal of Dairy Science

|February 26, 2019

Summary

Accurate genomic predictions for young animals are crucial for breeding programs. New methods approximate single-step genomic predictions efficiently, maintaining high accuracy for faster selection decisions.

Keywords:

SNP effect genomic breeding value genotype indirect prediction

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Area of Science:

Animal breeding and genetics
Quantitative genetics
Bioinformatics

Background:

Single-step genomic evaluations integrate diverse data but face computational challenges with large genotyped populations.
Rapid genomic predictions for young animals are essential for timely selection decisions in breeding programs.

Purpose of the Study:

To investigate efficient procedures for predicting breeding values of young genotyped animals.
To avoid setting up computationally intensive full single-step systems for new genotypes.

Main Methods:

Approximation methods transmitting information from previous single-step breeding values to young animals.
Utilizing genomic relationships or marker-based models for information transmission.
Testing procedures on real data from the German-Austrian Fleckvieh genomic evaluation.

Main Results:

Correlations between approximated and full single-step predictions averaged 0.9932 for the best method.
The best approximation method achieved high accuracy across 23 conformation traits.
Approximation systems using the number of markers showed strong performance.

Conclusions:

Prediction of single-step breeding values for young animals can be accurately approximated.
Efficient approximation methods reduce computational burden without significant accuracy loss.
These methods facilitate faster genomic predictions for young animals in breeding programs.