• 成分分析 •

### 不同锥栗农家种种仁中9 种矿质元素含量的因子分析与聚类分析

1. （1.经济林培育与保护教育部重点实验室，经济林育种与栽培国家林业局重点实验室，湖南?长沙 410004；2.湖北省襄阳市保康县公共检验检测中心，湖北?保康 441600；3.中南林业科技大学林学院，湖南?长沙 410004）
• 出版日期:2019-01-25 发布日期:2019-01-22
• 基金资助:
国家自然科学基金面上项目（31870674）；国家自然科学基金青年科学基金项目（31500554）； 中南林业科技大学研究生科技创新基金项目（20181005）

### Factor Analysis and Cluster Analysis of Contents of 9 Mineral Elements in Seed Kernels of Castanea henryi from Different Varieties

ZHU Zhoujun1, YUAN Deyi1,*, ZOU Feng1, YANG Hua2, FAN Xiaoming1, XIAO Shixin1, ZOU Xinyun3, LI Xin3, LI Guo3

1. (1. Key Laboratory of Cultivation and Protection for Non-Wood Forest Trees, Ministry of Education, Key Laboratory of Economic Forest Breeding and Cultivation of the State Forestry Administration, Changsha 410004, China;2. Public Inspection and Testing Center in Baokang County Xiangyang Hubei, Baokang 441600, China;3. College of Forestry, Central South University of Forestry and Technology, Changsha 410004, China)
• Online:2019-01-25 Published:2019-01-22

Abstract: In order to elucidate the characteristics of mineral elements in the seed kernels of Chinese chinquapin (Castanea henryi), the contents of nine mineral elements including N, P, K, Ca, Mg, Fe, Mn, Zn and Cu in 30 major varieties were determined using a discontinuous autoanalyzer and atom absorption spectrometry and they were analyzed by correlation analysis, factor analysis and cluster analysis. The results were showed that the contents of all 9 mineral elements obeyed normal distribution by Kolmogorov-Smirnov test. The average contents followed the descending order of N (6 873.74 mg/kg) > K (4 402.32 mg/kg) > P (1 619.16 mg/kg) > Ca (471.18 mg/kg)> Mg (394.59 mg/kg) > Mn (115.80 mg/kg) > Fe (16.22 mg/kg) > Zn (8.68 mg/kg) > Cu (7.59 mg/kg). As far as the macroelements were concerned, N, K and P were significantly different from Ca and Mg (P < 0.05); as for the microelements, Mn was significantly different from Fe, Zn and Cu (P < 0.05). The coefficients of variation varied from 8.29% (Zn) to 54.43% (Fe). Correlation analysis showed that there was a complex correlation among these elements. The results of factor analysis showed that N, P, Mn, K, Cu and Fe were the characteristic elements of Chinese chinquapin, and that the cumulative variance contribution rate of six common factors extracted was 90.572%. The cumulative variance contribution rate of the first common factor (F1) was 22.400%, representing N, P and Mn. The cumulative variance contribution rate of the second common factor (F2) was 15.572%, representing K and Cu. The cumulative variance contribution rate of the third common factor (F3) was 14.701%, representing Fe. The cumulative variance contribution rate of the fourth common factor (F4) was 14.614%, representing Mg. The cumulative variance contribution rate of the fifth common factor (F5) was 11.936%, representing Ca. The cumulative variance contribution rate of the sixth common factor (F6) was 11.349%, representing Zn. The top five varieties with the highest synthetic scores were ‘Manzhen’, ‘Changmangzi’, ‘Zhongjianzui’, ‘Caizhen’, ‘Xiaojianzui’. The 30 Chinese chinquapin varieties were classified into 6 groups by cluster analysis. The results of this study can provide basic data for evaluating nutritional properties of Chinese chinquapin, breeding new varieties and developing Chinese chinquapin-based foods.