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Detection of nitrogen deficiency in wheat from spectral reflectance indices and basic crop eco-physiological concepts

机译:从光谱反射指数和基本作物生态生理学原理检测小麦中的氮缺乏

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摘要

We tested the capacity of several published multispectral indices to estimate the nitrogen nutrition of wheat canopies grown under different levels of water supply and plant density and derived a simple canopy reflectance index that is greatly independent of those factors. Planar domain geometry was used to account for mixed signals from the canopy and soil when the ground cover was low. A nitrogen stress index was developed, which adjusts shoot %N for plant biomass and area, thereby accounting for environmental conditions that affect growth, such as crop water status. The canopy chlorophyll content index (CCCi) and the modified spectral ratio planar index (mSRPi) could explain 68 and 69% of the observed variability in the nitrogen nutrition of the crop as early as Zadoks 33, irrespective of water status or ground cover. The CCCi was derived from the combination of 3 wavebands 670, 720 and 790 nm, and the mSRPi from 445, 705 and 750 nm, together with broader bands in the NIR and RED. The potential for their spatial application over large fields/paddocks is discussed.
机译:我们测试了几种已发布的多光谱指数的能力,以估计在不同水平的供水和植物密度下生长的小麦冠层的氮营养状况,并得出了一个独立于那些因素的简单冠层反射率指数。当地面覆盖较低时,使用平面域几何来解释来自冠层和土壤的混合信号。开发了氮胁迫指数,该氮胁迫指数针对植物生物量和面积调整芽%N,从而说明影响生长的环境条件,例如作物水分状况。冠层的叶绿素含量指数(CCCi)和改良的光谱比平面指数(mSRPi)可以解释早在Zadoks 33时所观察到的作物氮营养变异的68%和69%,而与水分状况或地被植物无关。 CCCi来自3个波段670、720和790 nm,以及445、705和750 nm的mSRPi,以及NIR和RED中的较宽波段。讨论了它们在大田野/牧场上的空间应用潜力。

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