红边参数在作物营养诊断和品质预报上的应用  

Application of red edge variables to nutrition diagnosis and grain quality forecast of winter wheat

作　　者：黄文江[1] 赵春江[1] 王纪华 王锦地[2] 马智宏[1] 

机构地区：[1]国家农业信息化工程技术研究中心,北京100089 [2]北京师范大学地理学与遥感科学学院,北京100875

出　　处：《农业工程学报》2004年第6期1-5,共5页Transactions of the Chinese Society of Agricultural Engineering

基　　金：国家重点基础研究发展规划项目(G20000779);国家863项目(2002AA243011);(2003AA209010);科技新星计划(H020821020130)

摘　　要：通过对红边参数与反映作物碳氮代谢典型的生物化学参数叶片全氮和叶片可溶性糖进行相关分析,结果表明,可运用红边位置来反演叶片可溶性糖含量,归一化最小振幅来反演叶片全氮含量。并建立了基于红边参数的生化组分统计回归模型和基于叶片全氮与可溶解性糖比值与籽粒蛋白品质指标间的回归方程,并对建模试验所建立方程进行了检验。表明利用运用红边参数反演叶片全氮和可溶性糖含量进而预测小麦蛋白品质是可行的。为生产上利用遥感手段大面积、无破坏、及时评价冬小麦生长状态和在开花期进行小麦品质的预测预报研究提供重要依据。Reflectance of vegetation canopy has a significant increase at the edges of red and near infrared spectra, the point of maximum slope occurs on the boundary between red and near infrared bands that is known as the 'red edge', which was located approximately in 660~770 nm. Correlation analysis was also made between red edge variables and leaf total nitrogen and leaf soluble sugar content. Red edge position was proved to be able to predict leaf soluble sugar content, normalized minimum was chosen for the inversion of leaf total nitrogen content. Regression equations were established between the ratio of leaf total nitrogen and leaf soluble sugar content and grain protein, grain wet gluten and grain dry gluten content at anthesis stage. For this purpose red edge variables can play a vital role in providing time-specific and time-critical information for crop management and grain quality forecast.

关 键 词：红边参数 营养诊断 品质预报 叶片全氮 叶片可溶性糖 冬小麦 籽粒品质 

分 类 号：TP274.52[自动化与计算机技术—检测技术与自动化装置]