
水稻赖氨酸含量测定方法改进及其最优动态分类研究
第一作者:chentingmu@139.com
收稿日期: 2020-12-09
网络出版日期: 2021-03-20
基金资助
现代农业技术体系建设专项;江苏省科技计划重点项目“清香软粳的水稻基因发掘、育种材料创制及其方法”(BE2017323);国家七大育种专项“长江中下游优质高产高效粳稻新品种培育”(2017YFD0100400);江苏省政策引导类计划(苏北科技专项)(LYG-SZ201930);江苏省科技支撑项目(重点研发)“适宜轻简栽培抗病优质水稻新品种选育”(BE2018337)
Improvement of Lysine Content Determination Method and its Optimal Dynamic Classification in Rice
1st author: chentingmu@139.com
Received date: 2020-12-09
Online published: 2021-03-20
陈庭木, 李景芳, 邢运高, 徐波, 王宝祥, 徐大勇 . 水稻赖氨酸含量测定方法改进及其最优动态分类研究[J]. 中国稻米, 2021 , 27(2) : 51 -54 . DOI: 10.3969/j.issn.1006-8082.2021.02.010
Lysine is the first limiting amino acid in rice nutrition. In order to optimize the determination method of lysine content, this experiment was set up, the acylation time and dye binding reaction time under 300W ultrasonic power were studied by using ultrasonic oscillator instead of common oscillator. The results showed that, when the optimal acylation time was 15 min, and the dye combination time was 90 min has the best effect. Compared with the national standard method, the improved method has a longer acylation time and a shorter dye combination time, and the total determination time is significantly shortened, but the determination results and test accuracy are higher. Using ultrasonic oscillation instead of traditional oscillator oscillation could optimize the determination method of lysine content. In addition, the optimal dynamic clustering method could prevent the uncertainty of artificial classification and optimize the classification scheme.
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