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Improving Genomic Predictions in Multi-Breed Cattle Populations: A Comparative Analysis of BayesR and GBLUP Models.

Genes - 18 Feb 2024

Ma Haoran, Li Hongwei, Ge Fei, Zhao Huqiong, Zhu Bo, Zhang Lupei, Gao Huijiang, Xu Lingyang, Li Junya, Wang Zezhao

Abstract excerpt

Numerous studies have shown that combining populations from similar or closely related genetic breeds improves the accuracy of genomic predictions (GP). Extensive experimentation with diverse Bayesian and genomic best linear unbiased prediction (GBLUP) models have been developed to explore multi-breed genomic selection (GS) in livestock, ultimately establishing them as successful approaches for predicting genomic...

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PMID: 38397242
DOI: 10.3390/genes15020253
PMCID: PMC10887749

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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