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Review article - Peer-reviewed, 2023

Invited review: Reliability computation from the animal model era to the single-step genomic model era

Ben Zaabza, Hafedh; Tassell, Curtis P. Van; Vandenplas, Jeremie; VanRaden, Paul; Liu, Zengting; Eding, Herwin; McKay, Stephanie; Haugaard, Katrine; Lidauer, Martin H.; Mantysaari, Esa A.; Stranden, Ismo

Abstract

The calculation of exact reliabilities involving the inversion of mixed model equations poses a heavy com-putational challenge when the system of equations is large. This has prompted the development of differ-ent approximation methods. We give an overview of the various methods and computational approaches in calculating reliability from the era before the animal model to the era of single-step genomic models. The different methods are discussed in terms of modeling, development, and applicability in large dairy cattle populations. The paper also describes the problems faced in reliability computation. Many details dispersed throughout the literature are presented in this paper. It is clear that a universal solution applicable to every model and input data may not be possible, but we point out several efficient and accurate algorithms developed recently for a variety of very large genomic evaluations.

Keywords

estimated breeding values; single-step genomic models; dairy cattle; reliability computation

Published in

Journal of Dairy Science
2023, Volume: 106, number: 3, pages: 1518-1532
Publisher: ELSEVIER SCIENCE INC

    UKÄ Subject classification

    Animal and Dairy Science

    Publication identifier

    DOI: https://doi.org/10.3168/jds.2022-22629

    Permanent link to this page (URI)

    https://res.slu.se/id/publ/121783