水稻叶片氮素营养光谱诊断模型研究  

Preliminary Study on Spectra Diagnosis Model for Nitrogen Nutrition in Rice Leaf

作　　者：李晓利[1] 刘明博[1] 楼佳[1] 唐延林[1] 

机构地区：[1]贵州大学理学院,贵州贵阳550025

出　　处：《安徽农业科学》2011年第13期7646-7647,共2页Journal of Anhui Agricultural Sciences

基　　金：国家自然科学基金项目(10664001;41061039);国家"863"项目(2007AA10Z205);贵州省优秀青年科技人才项目(200712);国家大学生创新性实验项目(贵大200820)

摘　　要：[目的]建立水稻叶片氮素营养光谱诊断模型。[方法]通过对不同水稻品种(湘优109和汕优98)、不同生长期、不同氮素水平的水稻叶片进行透射、吸收光谱及氮含量的测量,分析了叶片光谱与其含氮量之间的相关性,建立了水稻叶片含氮量的光谱指数预测模型。[结果]该模型检测精度在80%以上,可用于水稻氮素营养的诊断。[结论]为水稻氮素营养状况监测提供了理论依据。[Objective] The aim was to build spectral diagnosis model for nitrogen nutrition in rice leaf.[Method] Through determination of transmittance,absorption spectra and nitrogen content on rice leaves of different rice varieties（Xiangyou 109 and Shanyou 98）,different growth periods and different nitrogen levels,we analyzed the correlation between leaf spectra and their nitrogen contents,and built prediction model of spectral index for nitrogen content in rice leaf.[Result] The detection precision of this model was above 80% that can be used on diagnosing of rice nitrogen nutrition.[Conclusion] The study provided evidence for monitoring nitrogen nutrition status of rice.

关 键 词：水稻 叶片 含氮量 光谱指数 模型 

分 类 号：S123[农业科学—农业基础科学]