Evidence map›Paper›PMID 40551093›Full record

ArticleGenetics, selection, evolution : GSE2025

Correcting overestimation of approximate traditional reliabilities with herd-sire interactions when young genomic bulls are used in few herds.

Joe-Menwer Tabet, Ignacio Aguilar, Matias Bermann, Daniela Lourenco, Ignacy Misztal, Paul M VanRaden, Zulma G Vitezica, Andres Legarra

Abstract read
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Article in Genetics, selection, evolution : GSE, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Joe-Menwer TabetDepartment of Animal and Dairy Science, University of Georgia, Athens, GA, 30602, USA. joemenwer.tabet@uga.edu.ORCID http://orcid.org/0009-0000-5565-9695
Ignacio AguilarInstituto Nacional de Investigación Agropecuaria, 11500, Montevideo, Uruguay.
Matias BermannDepartment of Animal and Dairy Science, University of Georgia, Athens, GA, 30602, USA.
Daniela LourencoDepartment of Animal and Dairy Science, University of Georgia, Athens, GA, 30602, USA.
Ignacy MisztalDepartment of Animal and Dairy Science, University of Georgia, Athens, GA, 30602, USA.
Paul M VanRadenU.S. Department of Agriculture, Agricultural Research Service, Animal Genomics and Improvement Laboratory, Beltsville, MD, 20705-2350, USA.
Zulma G VitezicaGenPhySE, INPT, INRAE, ENVT, 31326, Castanet Tolosan, France.
Andres LegarraDepartment of Animal and Dairy Science, University of Georgia, Athens, GA, 30602, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDifferential treatment of daughters of the same sire within a herd is modelled as the herd-sire effect. Recent changes in management practices may have led to the extensive use of certain bulls in a limited number of herds. In that case, although the effect can be well accounted for in genetic evaluation models, some approximation methods for reliabilities do not consider it correctly, leading to an overestimation of some sires' approximated reliabilities. This study assessed the potential bias of these approximated reliabilities due to the herd-sire effect in both simulated and real dairy cattle records. Two existing methods were tested: Misztal-Wiggans, which includes a specific modification for herd-sire, and Tier-Meyer, which does not. We also modified and tested a Tier-Meyer method considering the herd-sire effect.

resultsWe observed that in the presence of the herd-sire effect, reliabilities obtained by approximations were overestimated by the Tier-Meyer method for sires with many daughters in a limited number of herds. This was true even for sires with a large number of daughters. The Misztal-Wiggans method performed correctly. We introduced a modified Tier-Meyer method that weighs the information transmitted by the daughter to the sire as a function of the herd-sire information. As a result, the modified Tier-Meyer method performed well in both simulated and real data. For cows, the inclusion of the herd-sire effect had minimal impact.

conclusionsThis study identified possible overestimation of approximated reliabilities of sires with daughters concentrated in a few herds when there is a herd-sire effect. This bias occurs when the herd-sire effect is not correctly modeled in reliability approximation methods. Methods that specifically accounted for the herd-sire effect produced unbiased reliability estimates.

Indexed as

BreedingModels, GeneticAnimalsCattleComputer SimulationDairyingFemaleMale

Identifiers

PMID40551093
PMCPMC12183863

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.