Imputation accuracy for missing alleles in crossbred beef cattle

Title
Imputation accuracy for missing alleles in crossbred beef cattle
Publication Date
2023-07-26
Author(s)
Wahinya, P K
( author )
OrcID: https://orcid.org/0000-0003-4268-6744
Email: pwahiny2@une.edu.au
UNE Id une-id:pwahiny2
Ferdosi, M H
( author )
OrcID: https://orcid.org/0000-0001-5385-4913
Email: mferdos3@une.edu.au
UNE Id une-id:mferdos3
Editor
Editor(s): Hatcher, Sue
Type of document
Conference Publication
Language
en
Entity Type
Publication
Publisher
Association for the Advancement of Animal Breeding and Genetics (AAABG)
Place of publication
Armidale, Australia
UNE publication id
une:1959.11/56105
Abstract

Establishing a consistent set of markers through the imputation of various marker densities is crucial in building the genomic relationship matrix for genomic prediction. However, imputation in crossbred populations presents challenges. This paper investigated the imputation accuracy of purebred and crossbred Brangus, Simmental and Wagyu cattle. The imputation was carried out independently within each breed using a population-based approach. A reference population of 3,000 randomly selected purebred and crossbred animals with medium-density markers was used in each population to impute the target population with low-density markers (10,000 markers), and this process was repeated five times. On average, imputation accuracies higher than 0.9 were estimated for all three populations. However, the accuracy decreased as the relationship to the reference population within each breed decreased.

Link
Citation
Proceedings of the Association for the Advancement of Animal Breeding and Genetics, v.25, p. 162-165
ISSN
1328-3227
Start page
162
End page
165

Files:

NameSizeformatDescriptionLink