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作物学报 ›› 2009, Vol. 35 ›› Issue (6): 1131-1138.doi: 10.3724/SP.J.1006.2009.01131

• 耕作栽培·生理生化 • 上一篇    下一篇

油菜叶片气孔导度与冠层光谱植被指数的相关性

孙金英12，曹宏鑫2*，黄云1   

  1. 1西南大学资源与环境学院，重庆400716；2江苏省农业科学院农业资源与环境研究所/数字农业工程技术研究中心，江苏南京210014
  • 收稿日期:2009-01-05 修回日期:2009-03-17 出版日期:2009-06-12 网络出版日期:2009-04-16
  • 通讯作者: 曹宏鑫，E-岽mail:caohongxin07@yahoo.cn;Tel:025-48390125
  • 基金资助:

    本研究由江苏省“六大人才高峰”项目（06-G-169）资助。

Correlation between Canopy Spectral Vegetation Index and Leaf Stomatal Conductance in Rapeseed(Brassica napus L.)

SUN Jin-Ying12,CAO Hong-Xin2*,HUANG Yun1   

  1. 1College of Resources and environment,South West University,Chongqing 400716,China;2Institute of Agricultural Resources and Environment Research/Engineering Research Center for Digital Agriculture,Jiangsu Academy of Agricultural Sciences,Nanjing 210014,China
  • Received:2009-01-05 Revised:2009-03-17 Published:2009-06-12 Published online:2009-04-16
  • Contact: CAO Hong-Xin，E-岽mail:caohongxin07@yahoo.cn;Tel:025-48390125

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1450

被引次数

21

摘要：

利用冠层光谱实时、无损和定量监测植物叶片气孔导度，对于改善作物水分利用效率以及产量和品质预测预报具有十分重要的意义。本研究采用裂区设计法(宁油18和宁油16两个品种)、两个供氮水平(N180：纯氮180 kg hm-2、P2O5 120 kg hm-2、K2O 180 kg hm-2和硼砂15 kg hm-2；N0：CK)于2007—2008年测定油菜冠层光谱反射率、叶片气孔导度以及叶面积指数(LAI)和叶片鲜、干生物量，利用各波段光谱反射率组合产生的植被指数，分析油菜叶片气孔导度的变化规律及其与光谱植被指数的相关性，从而建立光谱植被指数对叶片气孔导度的估算模型。结果表明，在整个生育期油菜叶片气孔导度呈“双峰”变化, LAI和叶片鲜、干生物量均呈单峰曲线变化；开花前光谱植被指数与油菜叶片气孔导度和油菜冠层叶片平均气孔导度均呈极显著正相关，且光谱植被指数对油菜冠层叶片气孔导度的拟合效果好于对油菜叶片气孔导度的。光谱植被指数与冠层叶片气孔导度的量化关系可为今后快速、无损、大面积的油菜作物气孔导度估算奠定一定基础。

关键词: 油菜, 气孔导度, 光谱, 植被指数, 相关性

Abstract:

It plays a very important role for improving water use efficiency of crops and predicting crop yield and quality to monitor leaf stomatal conductance with real time, non-destructively and quantitatively by using canopy spectral characteristics. In the paper, the spectral reflectance, leaf stomatal conductance, LAI (leaf area index), leaf fresh and dry biomass of two rapeseed varieties were determined in a field experiment by split-plot design with the main plot of N levels and the subsidiary plot of cultivars, 3 replications, and plot area of 4.3 m by 7.0 m in 2007–2008. The changes in leaf stomatal conductance and the correlation between leaf stomatal conductance and spectral vegetation index were analyzed based on the vegetation index combined with spectral reflectance in all kinds of bands. The estimating models for spectral vegetation index of leaf stomatal conductance were established according to the relationship between spectral vegetation index and leaf stomatal conductance. The results showed that there were two peaks in changes carve of leaf stomatal conductance, and one peak in the changes curve of LAI, leaf fresh and dry biomass in the whole growth period. There existed significantly positive correlation between spectral vegetation index and leaf stomatal conductance or canopy leaf stomatal conductance before flowering, and the spectral vegetation index better fitted into canopy average stomatal conductance than into leaf stomatal conductance. The quantitative relationships between spectral vegetation index and canopy leaf stomatal conductance laid the foundation for rapid and non-destructive stomatal conductance estimates in a large area of rapes in future.

Key words: Rapeseed(Brassica napus L.), Stomatal conductance, Spectrum, Vegetation index, Correlation


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