Insight into the Complex Genetic Relationship of Chinese Fir (Cunninghamia lanceolata (Lamb.) Hook.) Advanced Parent Trees Based on SSR and SNP Datasets

Accurate estimation of genetic relationships among breeding materials and their diversity contributes to the optimal design programs. For Chinese fir (Cunninghamia lanceolata (Lamb.) Hook.), an important indigenous tree species in China, breeders have attempted employ different molecular markers address architecture target population, but power advanced parent population with a complex pedigree relationship is still rather limited. In this study, partly known map combined marker-derived (SSRs SNPs) information was implemented for first time assessment relatedness (n = 50) fir. The bivariate analysis showed that coefficients between individuals based on SSRs were significantly correlated SNPs (r 0.690, p < 0.01). Moreover, heatmap generated by SSR-based coefficient matrix largely consistent derived from SNP-based matrix. Additionally, STRUCTURE ADMIXTURE analyses two analogical clustering result. When compared recorded information, estimated broadly parallel relatedness. These results indicated can be used as effective tools clarify when complete records are not available Based markers, present study revealed relatively wide variation (SSRs: PIC 0.573; SNPs: 0.231) selected trees. This investigation provides input into progress advanced-generation breeding.