植物营养与肥料学报2011,17(2)：333-340 Plant Nutrition and Fertilizer Science
基于光谱分析的玉来氮素营养诊断
王磊，白由路，卢艳丽，王贺，杨俐苹
（农业部作物营养与施肥重点开放实验室，中国农业科学院农业资源与农业区划研究所，北京100081）
摘要：利用光谱技术实时、快速、无损监测作物氮素营养状况是现代农业的研究热点之一。试验根据玉米氮素营养的生理特点，在关键生育期有针对性地选择第6片完全展开叶和第12片完全展开叶（果穗叶）进行光谱监测。结果表明，被考察的19个光谱特征参量中，红边斜率（Dr）、绿峰最大反射率（Rg）、比值梳被指数（Rx/ha）和归一化差值植被指数(R(mI-al)/(wu+a））与叶片氮含量均存在较好的相关关系。考虑到诊断模型的简单实用性，选择 RxIR/R与叶片氮含量建立估测模型。根据RxIR/Ra在玉米生育前期和后期与不同叶片氮含量的相关性，确立在玉米生育前期以第6片完全展开叶为诊断对象：在生育后期以第12片完全履开叶（果穗叶）为诊断对象。经过回归分析和验证，RV与叶片氮含量建立的对数模型和指数模型分别在生育前期和生育后期具有较高的可靠性和稳定性，确立玉米生育前期以对数模型，生育后期以指数模型为氮素营养的光谱诊断模型。该结果为研发低成本便携式作物氮素营养光谐诊断仪提供依据。
关键词：玉米；氮素营养；光谱特征参量；诊断模型
中图分类号：0657.3；S513.01
文献标识码：A
文章编号：1008505X(2011)02-0333-08
Nitrogen nutrition diagnosis for corn based on spectral analysis
WANG Lei, BAI You-lu', LU Yan-li, WANG He,YANG Li-ping(Ministry of Agriculture Key Laboratory of Crop Nurition and Fertilization/
Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 10008, China)
Abstract: The spectrum technology is one of moderm agriculture research focuses, which can be used for real-time, fast, nondestructively monitoring crops nitrogen nutrition condition. The spectral diagnosis models were constructed on the leaf blade level for corn nitrogen nutrition on the base of the whole pooled experimental data. In this study, according to the physiological characteristics of com (Zea mays L.) nitrogen nutrition, the 6 and 12(fruit leaf) full-expanded leaf were acted as observed object using the spectrum technology at the key growth stages. The results show that among 19 spectral characteristic parameters, there are better corelations between leaf nitrogen content and the red-edge slope (Dr), green summit maximum reflectance (Rg), ratio vegetation index (Rni/Red) and nor-malized dfference vegetation index (R(NIM-Red)/(KIR+Bed) ), respectively. In view of simpleness and practicality of the diagnosis models, ratio vegetation index (Rwir/Red) is chosen to act as spectral variable for leaf N content detemi-nation.The correlation relationship between Rwnv&ed and dfferent leaf N content is higher in the6leaf than that in the 12 leaf at the early growth stage, and higher in the 12* leaf than in the 6 leaf at the late growth stage. There-fore, the 6t full-expanded leaf is acted as object for nutritional diagnosis at the early growth stage, and the 12* full-expanded leaf is acted as object for nutritional diagnosis at the late growth stage. Passed through regression analysis and validation, logarithmic model and exponential model with variables Rnir/Red and leaf N content have high relia-
bles, Rnr/Rad and leaf N content, are regarded as diagnosis models for corm nitrogen nutrition at different growth sta-
收稿日期：2010-05-18
接受日期：2010-12-01
基金项目：国家自然科学基金项目(31000937)；中央级公益性科研院所基本科研业务费专项资金(2009-6)资助。
作者简介：王磊（1978—），男，河南新乡人，助理研究员，主要从事作物营养的光诺诊断技术研究。E-msil：Iwang@caas.ac.cn
*通讯作者 E-mail;ylbai@caas.ac.cn 万方数据