基于植物电信号的小麦苗期等渗干旱胁迫与盐胁迫辨识  

Identification of Isotonic Drought Stress and Salt Stress in Wheat Seedling Based on Plant Electric Signal

作　　者：李进海 李洋 RICARDO Ferraz de Oliveira[4] 姚杰鹏 黄岚 王忠义[1,2] LI Jinhai;LI Yang;RICARDO Ferraz de Oliveira;YAO Jiepeng;HUANG Lan;WANG Zhongyi(College of Information and Electrical Engineering,China Agricultural University,Beijing 100083,China;Key Laboratory of Modern Precision Agriculture System Integration Research,Ministry of Education,China Agricultural University,Beijing 100083,China;Key Laboratory of Agricultural Information Acquisition Technology(Beijing),Ministry of Agriculture and Rural Affairs,China Agricultural University,Beijing 100083,China;Luiz de Queiroz College of Agriculture(ESALQ),University of S o Paulo,Piracicaba 3538709,Brazil)

机构地区：[1]中国农业大学信息与电气工程学院,北京100083 [2]中国农业大学现代精细农业系统集成研究教育部重点实验室,北京100083 [3]中国农业大学农业农村部农业信息获取技术重点实验室,北京100083 [4]圣保罗大学路易斯·德奎罗兹农业学院,皮拉西卡巴3538709

出　　处：《农业机械学报》2021年第7期231-236,共6页Transactions of the Chinese Society for Agricultural Machinery

基　　金：国家自然科学基金项目(61571443)。

摘　　要：针对早期干旱胁迫与盐胁迫在植物处于逆境时难以区分的问题,提出一种基于光诱导植物电信号的干旱胁迫与盐胁迫辨识方法。使用光/暗循环刺激获取了小麦幼苗在正常状态以及等渗干旱胁迫与盐胁迫下的植物叶表面电位,并利用一对一分类策略的支持向量机(One-versus-one support vector machine,OVOSVM)对获取的植物电信号样本进行分类。三折交叉验证结果显示:对正常状态与干旱胁迫下小麦幼苗叶表面电位进行二分类,分类准确率达到100%;对正常状态与盐胁迫下小麦幼苗叶表面电位进行二分类,准确率为94.44%;进行三分类时准确率达到96.30%;对等渗干旱胁迫与盐胁迫下获取的小麦叶表面电位进行二分类,分类准确率为100%。研究表明,植物电信号作为一种辨识逆境胁迫的方法,可对等渗条件下早期干旱胁迫与盐胁迫进行准确区分。In order to solve the problem that drought stress and salt stress are difficult to distinguish in the early stage when plants are under stress,a method was proposed to identify drought stress and salt stress based on light-induced plant electrical signals.The illumination/darkness cycle stimulation was used to obtain the surface potentials of wheat seedlings under normal conditions,as well as under isotonic drought and salt stress.One-versus-one support vector machine(OVOSVM)was used to classify the obtained plant electrical signals.The results of 3-fold cross validation showed that the two-class classification of wheat seedling leaf surface potential under normal and drought stress had an accuracy of 100%,and the two-class classification of leaf surface potential under normal and salt stress had an accuracy of 94.44%.The accuracy of three-class classifications reached 96.30%.Under the conditions of isosmotic drought stress and salt stress,the classification accuracy of wheat seedling leaf surface potential was 100%.The results showed that plant electrical signals can be used as a method to identify adversity stress,and can accurately identify early drought stress and salt stress under isotonic conditions.

关 键 词：小麦幼苗叶表面电位 光诱导植物电信号 等渗干旱胁迫与盐胁迫 支持向量机 

分 类 号：Q64[生物学—生物物理学] S24[农业科学—农业电气化与自动化]