Leymus secalinus plays an important role in improving the ecological environment of the grassland in northern China， the construction of high-yield grassland， the improvement of grassland and the high-quality development of grassland animal husbandry. In this study， 70 wild L. secalinus germplasm resources were used as experimental materials. Based on 19 traits， the principal component analysis （PCA） method， the grey correlation analysis （GCA） method and the distance-based technique for order preference by similarity to ideal solution （DTOPSIS） method were used to comprehensively evaluate the genetic diversity of the germplasm resources of L. secalinus. The results showed that the coefficient of variation of 19 trait indexes of 70 L. secalinus germplasm resources ranged from 0.71% to 97.20%， and the variation degree of stem traits was higher than that of leaves， and the variation degree of phenotypic traits was higher than that of quality traits. There was a significant correlation between the indexes of each trait， and eight phenotypic traits were significantly correlated with fiber content， and plant height and forageyield were significantly correlated with RFV （P<0.01）. LS46 and LS69 performed well in all three different comprehensive evaluation methods. They can provide germplasm material basis for cultivating high-yield and high-quality forage.

Leymus secalinus  /  Principal component analysis  /  Grey correlation analysis  /  DTOPSIS