Abstract:This study employed principal component analysis and cluster analysis to build a comprehensive evaluation model for the nutritional quality of rice grown in saline-alkali soils. The model was applied to evaluate ten rice cultivars cultivated in the saline-alkali areas of Dongying City. The results showed that there were different degrees of correlation among the 24 nutritional quality indicators of the saline-alkali rice. Five principal components were extracted by principal component analysis for the comprehensive evaluation of nutritional quality. Salt Yellow Fragrant Japonica ranked first， and Small Grain Fragrant ranked last. Using cluster analysis， the 10 saline rice cultivars were categorized into 4 classes according to nutritional quality： Class Ⅰ contained Salt Yellow Japonica， which had the best nutritional quality； Class Ⅱ consisted of Jinyuan U99， Pan Yu， and Shengdao 22； Class Ⅲ comprised Tianlongyou 619， Tangyu No.1， Zhongkefa 928， and Jindao 919，Nanjing 9108，Xiaolixiang. Among them， Nanjing 9108 and Xiaolixiang have slightly poorer nutritional quality.