Research

Selected journal articles and conference papers. Click through for research summaries, full text, and PDFs. ORCID ↗

Journal articles

2025

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.

Models heterogeneous genetic covariance by LD blocks to improve multibreed genomic prediction, especially for small-population breeds.

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2024

Li W, Zhang M, Du H, Wu J, Zhou L, Liu J. Multi-Trait Bayesian Models Enhance the Accuracy of Genomic Prediction in Multi-Breed Reference Populations. Agriculture. 2024;14(4):626.

Uses multi-trait Bayesian models and block-wise covariance modeling to improve genomic prediction in multibreed reference populations.

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2022

Li W, Wang Z, Luo S, Wu J, Zhou L, Liu J. Genome-Wide Association Analysis and Genetic Parameters for Feed Efficiency and Related Traits in Yorkshire and Duroc Pigs. Animals. 2022;12(15):1902.

Estimates genetic parameters and identifies SNPs and candidate genes related to feed efficiency traits in Yorkshire and Duroc pigs.

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Conference papers

2023

Li W, Li S, Liu J. Bayesian models for multibreed genomic selection considering covariance heterogeneity. The 22nd National Symposium on Animal Genetics and Breeding, Shanxi, 2023. Excellent presentation paper.

Presented a Bayesian multibreed genomic selection model accounting for heterogeneous covariance across chromosome blocks.