Invited review: Reliability computation from the animal model era to the single-step genomic model era
Ben Zaabza, Hafedh; Van Tassell, Curtis P.; Vandenplas, Jeremie; VanRaden, Paul; Liu, Zengting; Eding, Herwin; McKay, Stephanie; Haugaard, Katrine; Lidauer, Martin H.; Mäntysaari, Esa A.; Strandén, Ismo (2023)
Ben Zaabza, Hafedh
Van Tassell, Curtis P.
Vandenplas, Jeremie
VanRaden, Paul
Liu, Zengting
Eding, Herwin
McKay, Stephanie
Haugaard, Katrine
Lidauer, Martin H.
Mäntysaari, Esa A.
Strandén, Ismo
Julkaisusarja
Journal of Dairy Science
Volyymi
106
Numero
3
Sivut
1518-1532
American Dairy Science Association
2023
Julkaisun pysyvä osoite on
http://urn.fi/URN:NBN:fi-fe2023030229178
http://urn.fi/URN:NBN:fi-fe2023030229178
Tiivistelmä
The calculation of exact reliabilities involving the inversion of mixed model equations poses a heavy computational challenge when the system of equations is large. This has prompted the development of different 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.
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