Genomic Prediction Enables Provenance-Aware Selection in 1 Sessile Oak (Quercus petraea) using Foliar Physiological Traits
Leke Victor Aiyesa, Miao He, Henning Wildhagen, Wilfried Steiner, André Hardtke, Martin Hofmann, Markus Mueller, Oliver Gailing
This study uses genomic prediction to select resilient sessile oak genotypes based on foliar physiological traits, showing high heritability and across-provenance predictability.
bioRxiv · Apr 1, 2026 · PreprintGenetics