油用文冠果品质的主成分分析与聚类分析

PRINCIPAL COMPONENT AND CLUSTER ANALYSIS OF THE SHINY-LEAF YELLOWHORN FOR OIL USING

利用SPSS软件对文冠果粗脂肪含量和脂肪酸组成进行相关性分析,文冠果粗脂肪与油酸呈极显著正相关,与亚油酸呈极显著负相关.基于对文冠果种仁8个指标建立的主成分分析模型计算出各地区种仁得分,对15个地区文冠果进行K-Means聚类.采用主成分分析提取了3个主成分,可代表油用文冠果品质79%以上的信息,依据文冠果作为油料作物使用的适宜性将其聚为4类.志丹和建平地区的文冠果最适宜作为油脂原料,方山地区的文冠果较为适宜作为油脂原料.对文冠果进行判别分析,建立函数模型能够判别未知文冠果品种在工业生产中作为油料使用的适宜性.

The oil content of Yellowhom seed is 35%-40% ,while kernel is 59%-73%. The Yellowhom oil, which is known as the ＂oil treasures＂ ,is a mixture consisted by 90 kinds of materials and the content of unsaturated fatty acid is high. Comprehensive evaluation on Shiny-leaf Yellowhorn quality provides the basis for the industrial production. The present study was to investigate the principal component and K means cluster of Shiny-leaf Yellowhorn by SPSS software. The results of the correlation analysis of crude fat content and fatty acid composition of Yellowhorn showed that the crude fat had a significantly positive correlation with oleic acid, while had a significantly negative correlation with linoleic acid. The three main components were extracted which standard for 79% information of the Yellowhorn quanlity and according to the suitability of oil crops, Shiny-leaf Yellowhorn was divided into 4 categories. Clustering analysis from 15 regions showed that the Shiny-leaf Yellowhorn from Zhidan and Jianpin were most appropriate for extraction the Shiny-leaf Yellowhorn oil, followed by Fangshan. The discrimination analysis of the Yellowhorn and the function model could be used to determine the suitability of the unknown Yellowhorn on the industrial production.