植物水分胁迫实时在线检测方法研究进展  

Review of Real-time Detecting Methods of Water Stress for Plants

作　　者：赵燕东[1,2] 高超[1,2] 张新[1,2] 蔡祥[3] 

机构地区：[1]北京林业大学工学院,北京100083 [2]北京林业大学城乡生态环境北京实验室,北京100083 [3]北京林业大学信息学院,北京100083

出　　处：《农业机械学报》2016年第7期290-300,共11页Transactions of the Chinese Society for Agricultural Machinery

基　　金：国家自然科学基金项目(31371537);北京市共建项目

摘　　要：植物水分胁迫程度不仅是表征植物健康状况的一个重要生命指标,而且是植物精准抚育的一个可靠依据,研究植物水分胁迫实时在线检测方法具有重大理论意义和实际应用价值。本文从植物生理特性指标(植物茎流、水势、蒸腾速率、茎体水分)和形态(植物2D图像、3D图像、茎干直径、光谱特征)两方面着重论述植物水分胁迫检测方法的研究进展,讨论各种方法的检测原理,从实际应用角度分析各种方法优缺点,并给出了得到广大学者普遍认可的产品,指出基于植物生理特性指标的水分胁迫检测方法具有较高的检测精度,但操作较复杂,并且对植物具有不同程度的损伤;基于植物形态特性的水分胁迫检测方法具有无损、快捷、操作简单等优点,但存在检测误差相对较大的缺点。针对各种检测方法的优缺点对未来的研究方向提出了展望。The degree of water stress is an important life index for characterizing plant health. In addition,water stress is a reliable foundation of plant precise tending technology system. Therefore,to study the real-time detecting method of water stress for plants has important theoretical significance and practical application value. The research progress of detecting methods of water stress was discussed from two aspects of physiological indexes（ stem flow,water potential,transpiration rate,stem water content）and morphology（ 2D image,3D image,stem diameter,spectral feature）. The detecting theory of each method was also expounded. Compared with each other,advantages and disadvantages of each method were analyzed from the point of practical application. Detecting methods based on physiological indexes had higher measuring precision. But it had complex operation progress and varying degree of destruction to plants. Detecting methods based on morphology had advantages of nondestructive,quick and simple operation. But it had relatively larger measuring error. Some international production organizations and its relative products which had been widely recognized for detecting water stress were also recommended to researchers. Eventually,two research focuses were proposed based on each method＇s advantages and disadvantages.

关 键 词：植物水分胁迫 检测方法 生理指标 形态 

分 类 号：Q945.78[生物学—植物学] S311[农业科学—作物栽培与耕作技术]