基于多元分析的野生赖草种质资源评价

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中图分类号：S543.9 文献标识码：A 文章编号：1007-0435（2026）01-0254-12

Multivariate Analysis-Based Evaluation of Wild Leymus secalinus Germplasm Resources

MA Tao1.2.3，LI Ling-ling1.2.3， HOU Xiang-yang1.2.* （1.ColegeofGassandSenc，SaniAgriculturalUnversityTaiguShaniProvinceOo8o，China;.KeyLboratoryfordel InovationinFagroductionEfcencynistryofgricuurenduralis，iguiPrince3Ohin； Plateau Grassland Ecosystem National Research Station，Youyu，Shanxi Province O372Oo，China）

Abstract：Leymus secalinus plays an important role in improving the ecological environment of the grassland in norther China，the construction of high-yield grassand，the improvement of grassland and the high-quality development of grassland animal husbandry. In this study，7O wild L . secalinus germplasm resources were used as experimental materials.Based on19 traits，the principal component analysis （PCA） method，the greycorrelation analysis（GCA） method and the distance-based technique for order preference bysimilarity 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 70L .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 cor related with fiber content，and plant height and forageyield were significantly correlated with RFV （ P<0.01i ） LS46 and LS69 performed wellin all three diferent comprehensive evaluation methods.They can provide germplasm material basis for cultivating high-yield and high-quality forage.

Key words：Leymus secalinus; Principal component analysis;Grey correlation analysis;DTOPSIS

中国是世界上草地资源最丰富的国家之一，草地面积位居全球第二位[1。（剩余18003字）