Abstract: To establish a standardized evaluation system for assessing the nutritional quality and to identify varieties of superior quality in Brassica juncea，this study comprehensively assessed nine quality indices：dry matter，vitamin C（VC），crude protein，crude fiber，glucose，fructose，oxalic acid，malic acid，and citric acid across 14 Brassica juncea lines．Multivariate statistical analysis methods，including correlation analysis，principal component analysis，fuzzy mathematical subordinate function analysis，and cluster analysis were employed in this study．The results revealed significant difference at coefficients of variation ranging from 16.46% to 66.67%．This indicated substantial variability among the individual indices of different Brassica juncea lines．Principal component analysis identified the‘1917012’‘1917396’and‘1917381’lines showing superior overall performance，whereas the‘1917351’and‘Xiangrui 182’lines were less favorable．According to fuzzy mathematical affiliation function analysis and cluster analysis，the‘1917396’‘1917397’and‘1917381’lines contained high nutritional quality，in contrast to the‘1917152’and‘Xiangrui 182’lines．Consequently，the‘1917396’and‘1917381’lines excelled in this evaluation system，indicating that they were rich in dry matter，VC，etc．This study demonstrated that the evaluation method could effectively decrease the impact of individual index variations，offering guidance for the selection．

Key words: Brassica juncea, nutritional quality, multivariate statistical analysis, comprehensive evaluation

摘要： 为建立芥菜营养品质标准评价体系，筛选优良品质的芥菜品种，采用多元统计分析方法（相关性分析、主成分分析、模糊数学隶属函数分析、聚类分析），对14 份芥菜材料的干物质、VC、粗蛋白、粗纤维、葡萄糖、果糖、草酸、苹果酸、柠檬酸9 个品质指标进行综合评价。结果表明：14 份芥菜材料的9 个品质指标均存在显著差异，变异系数在16.46%～66.67% 之间，说明不同芥菜材料单一指标间的差异较大。主成分分析综合品质得分较高的是1917012、1917396、1917381，较低的是1917351、祥瑞182；通过模糊数学隶属函数分析和聚类分析评价，营养品质优良的芥菜材料为1917396、1917397、1917381，较差的为1917152、祥瑞182。综合来看，芥菜材料1917396 和1917381 表现优异，营养品质好。这2 份材料的干物质、VC 等含量较高，也证明该评价体系可以极大的消除单一指标的差异。

关键词: 芥菜, 营养品质, 多元统计分析, 综合评价