Comparison of GBLUP and WGBLUP in genomic selection for beef cattle under different LD patterns and mixed multi-population scenarios: a simulation study
Le Zhou, Fengying Ma, Lin Zhu, Chencheng Chang, Mingjuan Gu, Risu Na, Wenguang Zhang · 2025
Read Comparison of GBLUP and WGBLUP in genomic selection for beef cattle under different LD patterns and mixed multi-population scenarios: a simulation study by Le Zhou, Fengying Ma, Lin Zhu, Chencheng Chang, Mingjuan Gu, Risu Na, Wenguang Zhang (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12781795.txt.
Description
Le Zhou and colleagues compared in 2025 two genomic prediction methods for beef cattle breeding in a simulation study. Genomic selection speeds genetic gain, but prediction accuracy depends on linkage patterns between markers and on how the reference group is built. Three cattle populations with distinct backgrounds were simulated.
Bigger reference groups clearly raised accuracy. A weighted method, WGBLUP, beat the standard method most in low-linkage settings. Mixing reference groups across populations helped further, and the weighted mixed model gave the best accuracy overall. Weighting lets the model favor markers with large effects and adjust to each population's pattern. The authors offer this as a strategy for multi-population breeding programs.
Catalog record
| CREATOR | Le Zhou, Fengying Ma, Lin Zhu, Chencheng Chang, Mingjuan Gu, Risu Na, Wenguang Zhang |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 61 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |