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14种沙棘果实中氨基酸组成的主成分分析与综合评价
引用本文:马旭,赵英,韩炜,武胜利,韩晓燕.14种沙棘果实中氨基酸组成的主成分分析与综合评价[J].新疆农业科学,2023,60(2):378-388.
作者姓名:马旭  赵英  韩炜  武胜利  韩晓燕
作者单位:1.新疆师范大学地理科学与旅游学院/新疆干旱区湖泊环境与资源重点实验室,乌鲁木齐 8300542.阿克苏地区林业技术推广服务中心,新疆阿克苏 8430063.乌什县林业与草原局,新疆阿克苏 843400
基金项目:中央财政林业科技推广示范项目“大果沙棘优良品种繁育及标准化栽培技术示范与推广”(New [2018]TG 24)
摘    要:【目的】研究不同沙棘优株果实中氨基酸含量和组成成分,为沙棘良种选育提供理论依据。【方法】以阿勒泰地区14种沙棘优株为研究对象,以新疆主栽品种深秋红为对照,采用氨基酸自动分析仪快速检测氨基酸种类及含量,运用相关性分析、主成分分析法及聚类分析法对沙棘果实中氨基酸含量进行综合评价。【结果】14种沙棘果实氨基酸指标之间存在相对独立性和密切相关性,其中缬氨酸和异亮氨酸极显著相关(r=0.982,P<0.01)。14种沙棘果实综合排名前5位的依次为BT-06-04、QH-03-02、BT-08-02、HK-01-01、拟QH-03-02,排名居后的为:深秋红、ANJR、HH-09-01。主成分分析提取3个主成分,累计方差贡献率为88.296%,得到综合评价模型:F=0.802F1+0.122F2+0.076F3,较好地反映沙棘果实氨基酸的综合信息。14种沙棘果实分为3类,该聚类结果与主成分分析结果一致,较好地反映出沙棘果实不同种质间的差异性。【结论】BT-06-04、QH-03-02、BT-08-02的氨基酸含量最高,可作为沙...

关 键 词:沙棘  果实  相关性分析  主成分分析  聚类分析  综合评价
收稿时间:2022-03-13

Principal Component Analysis and Cluster Analysis of Amino Acids in Seabuckthorn Fruit
MA Xu,ZHAO Ying,HAN Wei,WU Shengli,HAN Xiaoyan.Principal Component Analysis and Cluster Analysis of Amino Acids in Seabuckthorn Fruit[J].Xinjiang Agricultural Sciences,2023,60(2):378-388.
Authors:MA Xu  ZHAO Ying  HAN Wei  WU Shengli  HAN Xiaoyan
Institution:1. School of Geographic Science and tourism, Xinjiang Normal University / Key Laboratory of lake environment and resources in arid regions, Urumqi 830054,China2. Xinjiang Aksu forestry and grassland Bureau,Aksu Xinjiang 843006,China3. Wushi County Forestry and grassland Bureau,Aksu Xinjiang 843400,China
Abstract:【Objective】 In order to study the differences of amino acid content and composition of different seabuckthorn varieties, 15 seabuckthorn varieties in Qinghe County were studied, and the amino acid types and content were detected quickly by amino acid automatic analyzer. 【Methods】 The amino acid contents of 15 Seabuckthorn fruits were comprehensively evaluated by correlation, principal component analysis and cluster analysis. 【Results】 There were relative independence and close correlation among 15 quality indexes of seabuckthorn fruit; According to the comprehensive score of principal factors of principal component analysis, the top 5 seabuckthorn varieties ranked by 15 seabuckthorn varieties were BT-06-04, QH-03-02, BT-08-02, HK-01-01 and proposed QH-03-03, followed by late autumn red, anjr and HH-09-01. 【Conclusion】 Three principal components were extracted by principal component analysis, and the cumulative variance contribution rate was 88.296%. A comprehensive evaluation model was obtained: F=0.802F1+0.122F2+0.076F3, which better reflected the comprehensive information of amino acids in seabuckthorn fruit. Fifteen Seabuckthorn fruits were divided into three categories by systematic cluster analysis. The cluster results were consistent with the results of principal component analysis, which better reflected the differences among different germplasm of seabuckthorn fruits.
Keywords:seabuckthorn  fruit  correlation analysis  principal component analysis  cluster analysis  comprehensive evaluation  
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