Abstract: In order to facilitate the selection of soybean[Glycine max （L.） Merr.] varieties （lines） that are highly adaptable and high-yield in the Jianghan plain from the new soybean varieties （lines） in Huanghuaihai region, the newly 13 newly-bred introduced in Huanghuaihai region soybean varieties （lines） as research materials, grey correlation analysis and correlation analysis were used to analyze the relationship of agronomic traits related to soybean yield and interrelationship between agronomic traits. The results showed that the weight of seeds per plant and the number of effective branches were extremely significantly positively correlated with soybean yield, and the correlation coefficient between the seed number per plant and soybean yield reached a significant level. The grey correlation degree analysis showed that the order of the correlative degree of main agronomic traits to yield was the weight of seeds per plant（0.805）>number of effective branches（0.763）>growth period（0.746）>seeds number per plant（0.745）>flowering period（0.727）>100-seed weight（0.715）>node number on main stem（0.702）>plant height（0.698）>effective pod number per plant（0.691）. The results of correlation analysis and grey correlation analysis indicated that the agronomic traits with the greatest impact on soybean yield were the weight of seeds per plant and number of effective branches, and the selection and evaluation of newly introduced varieties focus on weight of seeds per plant and number of effective branches were easier to obtain high-yielding varieties （lines）. At the same time, the relationship between the main agronomic traits and the influence of main agronomic traits on soybean yield was also provided, which also provided reference for the selection, identification and promotion of new varieties in the central and western regions of the Yangtze river.

Key words: soybean[Glycine max （L.） Merr.], variety（lines）, yield, correlation analysis, gray correlation degree