Zhiqian Liu

This paper evaluates milk mid-infrared spectroscopy combined with on-farm variables to predict serum biomarkers in dairy cows, finding that blood urea nitrogen (BUN) is most accurately predicted, while other biomarkers show limited external validation performance.

The paper tests three methods to identify causal genes for milk lipid traits in cattle using GWAS, transcriptomics, and gene ontology analysis, finding significant overlaps but limited power.

The paper quantifies how gene expression and splicing QTL explain heritability in cattle traits using Bayesian methods across 16 tissues.

The paper identifies sequence variants with regulatory and evolutionary significance in cattle and ranks them using a Functional-And-Evolutionary Trait Heritability score to improve genomic prediction.