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中文摘要：
采用有监督主成分回归分析建立了油用花生品质评价模型，采用K-means聚类分析建立了油用花生的加工适宜性评价方法。研究结果表明，油用花生品质评价模型中包括粗脂肪含量、油酸／亚油酸比值和不饱和脂肪酸总含 量三个指标，模型预测值与实测值之间的相关系数为0．70。该模型可以较好地将花生品种进行油用等级划分，筛选出的远杂9102、鲁花9号、徐花14、黑花生、海花1等品种制备的花生油具有较好的稳定性。该研究结果为准确判断未知花生品种是否适宜花生油加工提供了理论依据。
英文摘要：
Supervised principal component analysis was used to establish the evaluation model of oil-used peanut. K-means cluster analysis was applied to analysis the processing suitability of oil-used peanut. The results showed that the evaluation model of oil-used peanut included the crude fat content, ratio of oleic acid and linoleic acid, and unsaturated fatty acid content. The correlation coefficient between the predicted value and measured value was 0.70. The evaluation model could classify the peanut varieties into three scales and yuanza 9102, luhua 9, xuhua 14, heihuasheng, and haihua 1 were mostly suitable for pea- nut oil processing. The results are very important to predict the suitability of any unknown varieties.
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