ArticleGenes2024
Accuracy of Genomic Predictions Cross Populations with Different Linkage Disequilibrium Patterns.
Article in Genes, 2024. 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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7 authors.
Funding
Abstract
BACKGROUND/
objectivesThere is a considerable global population of beef cattle, with numerous small-scale groups. Establishing separate reference groups for each breed in breeding practices is challenging, severely limiting the genome selection (GS) application. Combining data from multiple populations becomes particularly attractive and practical for small-scale populations, offering increased reference population size, operational ease, and data sharing.
methodsTo evaluate potential for Chinese indigenous cattle, we evaluated the influence of combining multiple populations on genomic prediction reliability for 10 breeds using simulated data.
resultsWithin-breed evaluations consistently yielded the highest accuracies across various simulated genetic architectures. Genomic selection accuracy was lower in Group B populations referencing a Group A population (
conclusionsOur results suggested that multi-breed genomic selection was feasible for Chinese indigenous cattle populations with genetic relationships. This study's results also offer valuable insights into genome selection of multipopulations.
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