%0 Journal Article
%T 小白菜冠层温度分析与CWSI模型构建</br>Pakchoi canopy temperature analysis and CWSI model construction
%A 徐慧慧
%A 张亚琪
%A 于立尧
%A 李彭丽
%A 牛庆良
%J 上海交通大学学报农业科学版
%D 2018
%X 进行作物水分快速诊断从而提高水分管理精度是实现工厂化绿叶菜高产、优质、低耗的关键。通过测定植物的叶片温度、空气温度、空气湿度等参数,构建缺水胁迫指数(CWSI,crop water stress index)模型,能模拟植物的水分状况,为作物的适时精确诊断提供依据。本试验以‘华王’小白菜(Brassica rapa L.ssp.chinensis cv.Huawang)为材料,使用红外技术测定不同灌溉量下小白菜叶温,建立收获期小白菜的CWSI模型,其中CWSI是基于空气湿度这一参数提出的作物的水分胁迫指数,CWSI模型与小白菜含水量显著相关。研究结果表明通过红外技术获取小白菜冠层温度进行水分状况的快速损检测具可行性。</br>Rapid detection of water content in plants was the key to optimize the irrigation management in factory production of green leafy vegetables.In this study,infrared thermography technology was used to measure the changes of leave temperature caused by different quantities of irrigation in ‘Huawang’ pakchoi,and a model of crop water stress index (CWSI) was established to evaluate the moisture content in pakchoi.The results suggested that moisture content of pakchoi was related to CWSI,so it was feasible to get canopy temperature and conduct fast nondestructive testing of water content through the infrared technology.
%K 冠层温度 叶气温差 水分胁迫模型&lt
%K /br&gt
%K canopy temperature leaf-air temperature difference crop water stress
%U http://shjtdxnxb.cnjournals.com/ch/reader/view_abstract.aspx?file_no=20180303&flag=1