Comparison of Model Reliabilities from Single-Step and Bivariate Blending Methods

Authors

  • Matti Taskinen MTT Agrifood Research Finland
  • Esa Mäntysaari MTT Agrifood Research Finland
  • Martin Lidauer MTT Agrifood Research Finland
  • Timo Knürr MTT Agrifood Research Finland
  • Jukka Pösö Faba
  • Guosheng Su Aarhus University
  • Gert Pedersen Aamand NAV
  • Ismo Strandén MTT Agrifood Research Finland

Keywords:

genomic evaluation, reliability, single-step genomic evaluation

Abstract

Model based reliabilities in genetic evaluation are compared between three methods: animal model BLUP, single-step BLUP, and bivariate blending after genomic BLUP. The original bivariate blending is revised in this work to better account animal models. The study data is extracted from the production trait evaluation of Nordic Red dairy cattle. Genotyped bulls with daughters are used as training animals, and genotyped bulls and producing cows as candidate animals. For simplicity, size of the data is chosen so that the full inverses of the mixed model equation coefficient matrices can be calculated. Model reliabilities by the single-step and the bivariate blending methods were higher than by animal model due to genomic information. Compared to the single-step method, the bivariate blending method reliability estimates were, in general, lower. Computationally bivariate blending method was, on the other hand, lighter than the single-step method.

Downloads

Published

2013-10-25

Issue

No. 47 (2013): Proceedings of the 2013 Interbull meeting

Section

Articles

License

Authors who publish with this journal agree to the following terms:

    1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

 

    1. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.

 

    1. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).