Abstract:Broomcorn millet (Panicum miliaceum L.) is an ancient crop with various varieties and resources. Using fluorescent SSR markers, the resources of Panicum miliaceum L. can be managed and classified digitally, and many resources can be applied rationally and efficiently. In this study, 258 samples of millet resources from Inner Mongolia were used as experimental materials. Based on 85 pairs of conventional SSR markers developed by our research group, fluorescent SSR core markers were obtained through multiple amplification, screening, optimization and processing (fluorophores were added at the 5 'end of the primer). MapChart 2.32 was used to draw the chromosome location map of core markers, ID Analysis 4.0 was used to detect the differentiation of markers to materials, and PowerMarker 3.25 and PopGen 1.32 were used to analyze genetic diversity. MEGA 11.0.10 was used to draw the cluster diagram, NTSYSpc2.11a was used to draw the principal component analysis diagram, and finally the grass QR code generator was used to build DNA molecular identity cards of all materials. Genetic diversity analysis showed that there were 123 alleles (Na) in 258 materials amplified by 7 pairs of markers, with an average of 17.5714 NA per pair, ranging from 8.0000 to 25.0000. The number of effective alleles (Ne) ranged from 3.5868 to 16.2042, with an average of 7.4622. Shannon diversity index (I) was between 1.8361 and 2.8852, with an average value of 2.2270. Observed heterozygosity (Ho) and expected heterozygosity (He) ranged from 0.5303 to 0.9606 and 0.7229 to 0.9408, respectively, and the mean values were 0.8021 and 0.8372. Nei's gene diversity index (Nei) ranged from 0.7212 to 0.9383, with an average of 0.8353. Polymorphism information content (PIC) ranged from 0.8266 to 0.9391, with an average of 0.8994. The results of capillary electrophoresis were encoded in a specific way, and only 7 pairs of fluorescent labels (RYW6, RYW8, RYW37, RYW40, RYW67, RYW124 and RYW125) were used to generate 258 strings and two-dimensional code DNA molecular identity cards of Inner Mongolia millet resources. The results provided a reference for the classification management and rapid identification of the germplasm resources of Inner Mongolia broomcorn millet.