| Using correlation analysis, cluster analysis and the fuzzy membership function method, this study evaluated 12 non-heading Chinese cabbage varieties based on botanical traits, agronomic characteristics, and yield indicators, in order to explore the relationships between phenotypic traits and yield, and to identify varieties suitable for overwintering greenhouse cultivation. The results showed significant differences among the varieties in terms of botanical traits, agronomic traits, and yield. The coefficients of variation for six indicators—disease resistance, jointing, growth habit, marketability, plant waist constriction, and leaf surface luster—were relatively large, ranging from 20% to 40%. Plant weight showed an extremely significant positive correlation with plant height, leaf length, leaf width, and number of leaves, suggesting that these four traits are key determinants of yield in non-heading Chinese cabbage. Cluster analysis grouped the 12 varieties into four performance-based categories. Through a comprehensive evaluation using the fuzzy membership function method, A3 (‘Oumei 303’) and A12 (‘Sheng'ang No.1’) achieved the highest overall scores and were identified as the most suitable varieties for overwintering greenhouse cultivation in the Hanzhong region. |
