Jin Pan

The paper improves genomic selection in Norway spruce by incorporating non-additive effects and marker-by-environment interactions, leading to higher predictive ability and genetic gain.

This study evaluates genomic prediction models for growth and wood quality traits in Scots pine using GBS data, finding that GBLUP and BRR with imputation outperform BL and that fewer markers can achieve similar accuracy.

This study evaluates genomic selection accuracy for growth and wood quality traits in Norway spruce using exome capture, finding that full-sib family structures and 8000 SNPs are sufficient for effective prediction.