Abstract: 【Objective】 This project aims to screen out cotton materials of high-quality and high-yield suitable for planting in the 7th Agricultural Division cotton area, and provide theoretical basis for variety promotion and corresponding supporting cultivation techniques in the future stage. 【Methods】 19 cotton varieties were taken as the research objects to analyze the variation, correlation, principal component and grey correlations of their 14 agronomic characters, yield and quality traits by DPS statistical software. 【Results】 The results showed that, the variation coefficients of the characters among 19 cotton varieties ranged from 0.92% to 15.08%, and the variation coefficient of plant height was the largest, which was 15.08%. The correlation analysis results showed that the plant height was significantly or extremely significantly correlated with fruit branch number, first fruit node height, cotton yield and elongation, cotton yield was significantly or extremely significantly correlated with first fruit node height, boll number per plant, boll weight per plant and short fiber index, fiber length was significantly or extremely significantly correlated with boll weight per plant, Micronaire and breaking strength, evenness index was significantly or extremely significantly correlated with breaking strength specific strength, elongation and short fiber index showed significant or extremely significant correlation. The results of principal component analysis showed that the cumulative contribution rate of the first six principal components was 86.2894%, which could reflect most of the information of all traits. According to the comprehensive evaluation ranking of the tested materials, the top four materials were K07-12, zhongmiansuo 92, Z1112 and zhongmiansuo 113. Grey correlation analysis results showed that the materials with higher weighted correlation degree were K07-12, Z1112, zhongmiansuo 92 and zhongmiansuo 113. The larger the weighted correlation degree, the closer it was to the ideal variety. Therefore, K07-12, Z1112, zhongmiansuo 92 and zhongmiansuo 113 performed better. 【Conclusion】 The results of principal component analysis and grey correlation analysis were basically consistent, so K07-12, zhongmiansuo 92, Z1112 and zhongmiansuo 113 are recommended to be planted and popularized in the 7th Agricultural Division cotton area.