Simulating deployment of genetic gain in a radiata pine breeding program with genomic selection

Abstract Genomic selection (GS) is currently being used in the New Zealand radiata pine ( Pinus D. Don) breeding program to accelerate genetic gain. GS also has potential deployment of gain production forest through early selection. The increased rate cycle will need be transferred more quickly realise that population. selections have lower accuracies than based on phenotypic data as practised; however, it unknown how this affect from GS-based deployment. Moreover, census size and turnover optimised cope with influx new marker-based selected material into a commercial orchard. We utilised stochastic simulation approach investigate these concepts, comparing three scenarios: half-sib open-pollinated orchards (OP), full-sib control-pollinated (CP) clonal somatic embryogenesis. When accounting for time, genomic OP, CP pathways by 9.5%, 15.9% 44.6% respectively compared optimal orchard scenario would genomic-selected control-pollination low n = 40, males females combined), female (5%) high male (15–25%). This scheme balances seed yield while moderating inbreeding.