Author(s) |
Wahinya, P K
Ferdosi, M H
|
Publication Date |
2023-07-26
|
Abstract |
<p>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.</p>
|
Citation |
Proceedings of the Association for the Advancement of Animal Breeding and Genetics, v.25, p. 162-165
|
ISSN |
1328-3227
|
Link | |
Publisher |
Association for the Advancement of Animal Breeding and Genetics (AAABG)
|
Title |
Imputation accuracy for missing alleles in crossbred beef cattle
|
Type of document |
Conference Publication
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Entity Type |
Publication
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