Genomic prediction accuracies and abilities for growth and wood quality traits of Scots pine, using genotyping-by-sequencing (GBS) data
Ainhoa Calleja-Rodríguez, Jin Pan, Tomáš Funda, Zhiqiang Chen, John Baison, Fikret Işik, Sara Abrahamsson, Harry X. Wu
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.
bioRxiv · Apr 12, 2019 · PreprintGenetics