水肥耦合下夏玉米不同生育时期的高光谱特性与反演模型研究

本文通过整个光谱范围内一阶导数光谱反射率与叶绿素、可溶性糖和可溶性蛋白的相关系数显著的波段，建立高光谱预监测水肥耦合条件下的夏玉米光合特性以及碳氮代谢，进而为玉米高产提供依据。在玉米拔节期和大喇叭口期选择596、1025和924nnl，吐丝期和乳熟期选择638、1068和965nm这几个显著性波段的实测值来建立估测模型。研究结果表明，拔节和大喇叭口期叶片叶绿素SPAD值的估测模型为y=28832．45p596＋39．34，可溶性糖含量的估测模型为y=640．54p1025＋7．92，可溶性蛋白含量一阶导数光谱估测模型为y=4092．90p924＋5．63，而吐丝期和乳熟期叶片叶绿素SPAD值的估测模型为y=134151．00p638＋129．92，可溶性糖含量的估测模型为y=524．80p1068＋9．20，可溶性蛋白含量一阶导数光谱估测模型为y=7321．61lp965＋36．64。所建立的高光谱预测模型在本试验所属的时空范围内能很好地预测和反演玉米生长状况。

Hyper-Spectral Characteristic and Modeling of Carbon and Nitrogen Metabolism from Summer Maize Leaves at Different Growth Stages under the Couple of Water and Fertilizer

Based on the couple of water and fertilizer of summer maize, this paper established the hyper- spectral in order to monitor photosynthetic characteristics and carbon and nitrogen metabolism. Comparing the correlation wave band of the first derivative reflectance and SPAD, sugar content, proten content, it chose 596, 1 025 and 924 nm in the maize jointing stage and big trumpet period. Yet it chose 638, 1 068 and 965 nm in the silking stage and milk period. The results showed that, in the mazie jointing stage and big trumpet period, estimation model were yspgD=28832.45p596＋39.34, ysugr=640.54p1025＋7.92, yproten=092.90p924＋5.63＂ In the silking stage and milk period, estimation model were yspgD= 134151.00p638＋ 129.92, ysug~=524.80p 1068＋9.2, Yprotem=7321.61p965＋36.64. SO the estimation model could predict growth status of maize in space-time range belongs to the exercise correctly.