Improving multibreed genomic prediction for breeds with small populations by modeling heterogeneous genetic (co)variance blockwise accounting for linkage disequilibrium
Published in Journal of Animal Science and Biotechnology, 2025
本研究提出了一种基于连锁不平衡（LD）区块划分并显式建模异质遗传（协）方差的多品种基因组预测新模型 mbBayesABLD。通过模拟数据及猪和菜豆真实数据验证，mbBayesABLD 在多品种联合预测中显著优于 GBLUP 和 BayesR，并在小规模品种中实现了预测准确性的明显提升。
Recommended citation: LI W, Li S, Du H, Huang Q, Zhuo Y, Zhou L, et al. Improving multibreed genomic prediction for breeds with small populations by modeling heterogeneous genetic (co)variance blockwise accounting for linkage disequilibrium. Journal of Animal Science and Biotechnology. 2025;16(1):176. 10.1186/s40104-025-01303-9.
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