Identifying and testing marker-trait associations for growth and phenology in three pine species: Implications for genomic prediction.

ABSTRACT: In tree species, genomic prediction offers the potential to forecast mature trait values in early growth stages, if robust marker-trait associations can be identified. Here we apply a novel multispecies approach using genotypes from a new genotyping array, based on 20,795 single nucleotide polymorphisms (SNPs) from three closely related pine species (Pinus sylvestris, Pinus uncinata and Pinus mugo), to test for associations with growth and phenology data from a common garden study. Predictive models constructed using significantly associated SNPs were then tested and applied to an independent multisite field trial of P. sylvestris and the capability to predict trait values was evaluated. One hundred and eighteen SNPs showed significant associations with t

SUBMITTER: Perry A 

PROVIDER: S-EPMC8867712 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature