The fisher discrimination of buckwheat based on the amino acids characteristics

被引：0

作者：

Zhang, Qiang ^{[1
]}

Li, Yanqin ^{[2
]}

机构：

[1] College of Life Sciences, Shanxi Normal University, Linfen, China

[2] Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education Institute of Biotechnology, Shanxi University, Taiyuan, China

来源：

Journal of the Chinese Cereals and Oils Association | 2015年 / 30卷 / 02期

关键词：

Crops - Data mining;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

According to the amino acid characteristics of common buckwheat and tartary buckwheat, this paper screened effective discrimination indexes and established a discrimination criterion. The mass fraction and relative content of amino acids were taken as indexes to establish a fisher discrimination model through stepwise method and verify the model. In the discrimination model established by the mass frastion method, the accuracy of discrimination was 94.71% and the accuracy of cross-validated was 93.27% taking histidine, glutamic, serine, glyeine, threonine and tyrosine as variables. In the discrimination model, which was established through the relative content method with the relative content of histidine, glutamic, serine, glycine, threonine and alanine for variables, the accuracy of discrimination was 95.19% and the accuracy of cross-validated was also 95.19%. The accuracy of the model adopting 12 buckwheat samples was 100%. The mass fraction and the relative content of histidine, glutamic, serine, glycine and threonine played an important role in the discrimination of buckwheat. The combination of amino acid index and modern statistical techniques should be a useful and feasible method for the discrimination and quality control of buckwheat. ©, 2015, Editorial Department, Chinese Cereals and Oils Association. All right reserved.

引用

页码：26 / 32