Advancing height growth models for the improved forest reproductive material of the main tree species in Latvia

The breeding of economically important forest tree species in the Baltic Sea region has contributed notably to availability quality wood for bioeconomy. Accordingly, altered stand dynamics improved trees should be identified and incorporated growth models accurately reflect these gains. Such advanced can used assessment different alternatives, e.g. strategies increased carbon sequestration. We tested modified dynamic forms King-Prodan height function based on remeasured National Forest Inventory plots Latvia predict Scots pine, Norway spruce silver birch reproductive material (FRM) categories ‘qualified’ ‘tested’ using measurements from progenies 371, 390, 690 open-pollinated families, respectively. Both had steeper trajectories at young age compared an unmodified function. Growth category pine exceeded that across modelled range, while mainly overlapped lower site indices. functions with FRM category-specific multipliers more actual stands, advancing planning timely management activities like thinning. single model set may easy applicable practice or simulators without complexity end-users. However, predictions are limited sites medium high indices, where planting stock is typically used. Keywords: GADA approach, modelling, breeding,