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

Rodriguez, D., Fitzgerald, G. J., Belford, R. and Christensen, L. K. (2006) Detection of nitrogen deficiency in wheat from spectral reflectance indices and basic crop eco-physiological concepts. Australian Journal of Agricultural Research, 57 7: 781-789. doi:10.1071/AR05361


Author Rodriguez, D.
Fitzgerald, G. J.
Belford, R.
Christensen, L. K.
Title Detection of nitrogen deficiency in wheat from spectral reflectance indices and basic crop eco-physiological concepts
Journal name Australian Journal of Agricultural Research   Check publisher's open access policy
ISSN 0004-9409
1836-5795
Publication date 2006
Sub-type Article (original research)
DOI 10.1071/AR05361
Volume 57
Issue 7
Start page 781
End page 789
Total pages 9
Place of publication Collingwood, VIC, Australia
Publisher C S I R O Publishing
Language eng
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 (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.
Keyword Water Stress
Plant Density
Remote Sensing
Nitrogen Stress Index
Chlorophyll Meter
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: Queensland Alliance for Agriculture and Food Innovation
 
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