食品科学 ›› 2019, Vol. 40 ›› Issue (6): 318-324.doi: 10.7506/spkx1002-6630-20171218-227

• 安全检测 • 上一篇    下一篇

柳河大米产地环境及其矿物元素分布特征的典范对应分析

王朝辉1,郑 晖1,赵 倩1,王艳辉2,崔 浩3,王靖会3,张大力1,*   

  1. 1.吉林农业大学食品科学与工程学院,吉林 长春 130118;2.长春市净月高新技术产业开发区福祉街道办事处,吉林 长春 130122;3.吉林农业大学信息技术学院,吉林 长春 130118
  • 出版日期:2019-03-25 发布日期:2019-04-02
  • 基金资助:
    国家自然科学基金面上项目(31771957);吉林省科技厅项目(2014GB100101);吉林省重点科技研发项目(20180201051NY)

Canonical Correspondence Analysis of Growing Environment and Mineral Distribution Characteristics of Liuhe Rice

WANG Zhaohui1, ZHENG Hui1, ZHAO Qian1, WANG Yanhui2, CUI Hao3, WANG Jinghui3, ZHANG Dali1,*   

  1. 1. College of Food Science and Engineering, Jilin Agricultural University, Changchun 130118, China; 2. Fuzhi Sub-District Administration Office, Changchun Jingyue High-Tech Industrial Development Zone, Changchun 130122, China; 3. College of Information and Technology, Jilin Agricultural University, Changchun 130118, China
  • Online:2019-03-25 Published:2019-04-02

摘要: 为筛选稳定可靠的柳河大米产地确证元素,通过2 次典范对应分析研究影响吉林省柳河大米采样点分布的环境因子,分析大米产地确证元素在区域尺度内的影响关系及其稳定性。典范对应分析结果表明,2 个环境梯度轴分别解释大米矿物元素含量总方差的17.3%和23.4%,柳河大米矿物元素含量和环境变量之间存在较强的空间相关性,受产地环境变量影响最大的为Se元素,Ca、Zn、Mg含量受其影响最小,Mg、Ca、Na、Mn、Zn具有较好的稳定性和空间代表性,可作为柳河大米产地确证的指标元素。研究结果为建立柳河大米确证模型提供有效的理论依据。

关键词: 柳河大米, 产地确证, 矿物元素, 产地环境, 典范对应分析

Abstract: In order to screen for stable and reliable mineral elements to identify the geographical origin of Liuhe rice, two cycles of canonical correspondence analysis were performed to evaluate the environmental factors that affect the distribution of sampling locations. We analyzed the effectiveness at the regional scale of the selected elements and their stability in identifying the geographical origin of Liuhe rice. Results showed that the two environmental gradient axes explained 17.3% and 23.4% of the total variance, respectively. There was a strong spatial correlation between the mineral elements and the environmental variables. Se content was most influenced by the geographical environmental variables, while the least effect was observed on Ca, Zn and Mg contents. Mg, Ca, Na, Mn and Zn had good stability and spatial representativeness and could be used to identify the geographical origin of Liuhe rice. The results of this study can provide a useful theoretical foundation for modeling in geographical origin identification of Liuhe rice.

Key words: Liuhe rice, geographical origin identification, mineral elements, geographical environment, canonical correspondence analysis (CCA)

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