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中国农学通报

中国农学通报 ›› 2010, Vol. 26 ›› Issue (7): 78-83.

所属专题： 水稻

• 农学 农业基础科学 • 上一篇    下一篇

基于吸收、透射和反射光谱预测水稻叶绿素含量研究

韩超 张金恒 李大鹏   

  • 收稿日期:2009-10-14 修回日期:2009-11-26 出版日期:2010-04-05 发布日期:2010-04-05
  • 基金资助:

    863计划课题;国家自然科学基金

Prediction of chlorophyll concentration of rice based on spectral absorption, transmission and reflectance

  • Received:2009-10-14 Revised:2009-11-26 Online:2010-04-05 Published:2010-04-05

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摘要：

【研究目的】选择基于吸收率和透射率的叶绿素含量定量反演波段组合，构建叶绿素含量光谱估测模型寻找基于吸收、透射和反射光谱预测叶绿素含量的波段；【方法】以临稻11，圣稻13和阳光200三个水稻品种为材料，进行田间实验；【结果】比较水稻叶片吸收、反射及透射光谱曲线和一阶导数光谱曲线，发现440nm、480nm、630nm和681nm为叶绿素吸收峰的实际发生波段位置，其中630nm波段处的叶片光谱吸收率(A)、透射率(T)和反射率(R)之间相关性最好。比较三者之间的相关性，吸收率与透射率的相关性最强。630nm波段处的叶片光谱吸收率、透射率和反射率与叶绿素含量之间的相关性均达到极显著水平。【结论】回归分析表明基于440nm、480nm和681nm三个波段光谱吸收率线性模型，440nm、480nm和630nm三个波段光谱透射率线性模型估测叶绿素a含量，480nm、630nm和681nm三个波段光谱透射率线性模型估测叶绿素b含量，与单独使用630nm光谱变量估测叶绿素含量比较，在4个生育期估测精度均有显著提高，其中以叶绿素a和叶绿素总量的估测效果最好。

关键词: 猪, 猪, 肠球菌, 基因, 溶血, 明胶

Abstract:

A field experiment consisting of different nitrogen levels and three rice cultivars was conducted to investigate the relationships among the leaf chlorophyll concentration and leaf absorptance, transmissivity and reflectance. It was observed that the central wavelengths of peak values of the leaf reflectance (R), transmission (T) and absorptance (A) were 440nm, 480nm, 630nm and 681nm. At 630nm the relationships among the leaf absorptance, transmissivity, reflectance and leaf chlorophyll concentration were all extremely significant, and the relationships between absorptance and transmission were stronger than that between the leaf reflectance and transmission or absorptance. Step regression analysis was used to establish chlororphyll concentration prediction models and the relationship between chlororphyll concentration measured values. The estimated values indicated that compared with predicted chlororphyll concentration using single wavelength band 630nm, R square increases significantly using liner regression models established with A440, A480, A681 predicting chlororphyll a concentration, with T440, T480, T630 predicting chlororphyll a concentration and with T630, T480, T681 predicting chlororphyll b concentration.