Abstract There have been the lack of certainly and integrity in sprout characteristics evaluation of grasspea and breed quality identification for a long time. In this case, 29 resources of grasspea from diffident locations of china were collected as the materials. They were cultivated as the method described by ZNLG institute. An preliminary study has been performed by basis statistics analysis, K-means clustering analysis and correlation analysis on the eight traits of grasspea and grasspea sprouts. The results showed that variation coefficient of bean sprouts output reached 24.42% that is larger than other traits. Twenty-nine copies of grasspea species were divided into 5 groups. Character of one group is small grain, high seedling production, high soluble protein content, and high VC content. Length of grasspea sprouts was significantly correlated with bean sprouts output（p<0.01）,and was significantly correlated with smoothness of seed skin（p<0.01）.Bean sprouts output was significantly correlated with smoothness of seed skin（p<0.01）, and was negatively correlated with kernel weight（p<0.01）. To screen and evaluate resources of grasspea for sprouts, sprouts output should take more importance than other traits, and the value of them should be larger than 1.01g/g. In this study, grasspea of Gansu Zhangye, White fragrant grasspea, A za grasspea -2 were selected as excellent resources for further study.