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

E. C.G. Pimentel, C. Edel, R. Emmerling, K. U. Götz

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Single-step genomic evaluations have the advantage of simultaneously combining all pedigree, phenotypic, and genotypic information available. However, systems with a large number of genotyped animals have some computational challenges. In many genomic breeding programs, genomic predictions of young animals should become available for selection decisions in the shortest time possible, which requires either a very effective estimation or an approximation with negligible loss in accuracy. We investigated different procedures for predicting breeding values of young genotyped animals without setting up the full single-step system augmented for the additional genotypes. Methods were based on transmitting the information from single-step breeding values of genotyped animals that took part in the previous full run to young animals, either through genomic relationships or through a marker-based model. The different procedures were tested on real data from the April 2017 run of the German-Austrian official genomic evaluation for Fleckvieh. The data set included 62,559 genotyped animals and was used to run single-step evaluations for 23 conformation traits. A further data set comprising 1,768 young animals was used for interim prediction and we called it the validation set. The reference values for validation were the predicted breeding values of the young animals from a full single-step run containing the genotypes of all 64,327 animals. Correlations between the approximated predictions and those from the full single-step run also containing genotypes from young animals averaged 0.9932 for the best method (from 0.990 to 0.995 across traits). In conclusion, prediction of single-step breeding values for young animals can be well approximated using systems of size equal to the number of markers.

Original languageEnglish
Pages (from-to)3266-3273
Number of pages8
JournalJournal of Dairy Science
Volume102
Issue number4
DOIs
StatePublished - Apr 2019
Externally publishedYes

Keywords

  • SNP effect
  • genomic breeding value
  • genotype
  • indirect prediction

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