Association mapping of major economic traits and exploration of elite alleles in Prunus sibirica

Exploring elite alleles based on association analysis of economic traits will promote the breeding, development, and utilization Prunus sibirica resources. This study used 113 P. clones with diverse provenances to perform mapping 20 149 pairs highly polymorphic simple sequence repeat (SSR) markers. Population structure split into three subgroups. General linear model (GLM) mixed (MLM) identified 117 SSR loci associated traits, specifically fruit (62 loci), nuclear (69), kernel (46) traits. Phenotypic variation in these sets ranged 8.93–82.12% or 0.23–84.82% (MLM), 10.96–56.65% 0.17–52.54% 5.17–59.41% 4.86–59.89% respectively. Of marker loci, 35 were simultaneously two more In addition, phenotypic effects 1842 seven typical materials related key We then designed parental combinations through crossing materials. conclusion, our detected plant that allowed identification expressing desired interest. These findings can be for improved, targeted breeding marker-assisted selection.