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

Detection of nitrogen deficiency in wheat from spectral reflectance indices and basic crop... 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 (mSR Pi ) 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 mSR Pi 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Crop and Pasture Science CSIRO Publishing

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

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References (41)

Publisher
CSIRO Publishing
Copyright
CSIRO
ISSN
1836-0947
eISSN
1836-5795
DOI
10.1071/AR05361
Publisher site
See Article on Publisher Site

Abstract

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 (mSR Pi ) 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 mSR Pi 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.

Journal

Crop and Pasture Science – CSIRO Publishing

Published: Jul 14, 2006

Keywords: water stress, plant density, remote sensing, nitrogen stress index.

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