John Baison

The paper uses GWAS to identify genetic loci controlling tracheid properties in Norway spruce, finding 31 loci and 26 novel candidate genes.

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.

The paper identifies 51 significant SNPs from 39 candidate genes associated with wood formation traits in Norway spruce using genome-wide association mapping.

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.

The paper creates an ultra-dense haploid genetic map for Norway spruce to improve genome assembly and evaluate gene distribution across chromosomes.

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.