CSIRO Publishing Books Journals About Us Shopping Cart You are here: Journals > Crop & Pasture Science   
Crop & Pasture Science
  Plant Sciences, Sustainable Farming Systems & Food Quality
 
Search
 
 
  Advanced Search
   

Journal Home
About the Journal
Editorial Board
Contacts
Content
Current Issue
Just Accepted
All Issues
Most Read Papers
Special Issues
Research Fronts
Farrer Reviews
Sample Issue
For Authors
General Information
Notice to Authors
Submit Article
Open Access
For Referees
General Information
Review Article
Annual Referee Index
For Subscribers
Subscription Prices
Customer Service
Print Publication Dates

 Early Alert
Subscribe to our email Early Alert or RSS feeds for the latest journal papers.

 Connect with us
facebook   youtube

 PrometheusWiki
PrometheusWiki
Protocols in ecological and environmental plant physiology

 

Article << Previous     |     Next >>   Contents Vol 57(7)

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

D. Rodriguez A E, G. J. Fitzgerald B, R. Belford C, L. K. Christensen D

A Agricultural Production Systems Research Unit (APSRU), Department of Primary Industries and Fisheries, PO Box 102, Toowoomba, Qld 4350, Australia.
B USDA-ARS, U.S. Water Conservation Laboratory, 4331 E. Broadway Rd, Phoenix, AZ 85040, USA.
C Primary Industries Research Victoria, PO Box 260, Horsham, Vic. 3401, Australia.
D Nordic Gene Bank, PO Box 41, SE-23053 Alnarp, Sweden.
E Corresponding author. Email: daniel.rodriguez@dpi.qld.gov.au
 
PDF (207 KB) $25
 Export Citation
 Print
  


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.

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


   
Subscriber Login
Username:
Password:  

    


 
Top  Email this page
 
Legal & Privacy | Contact Us | Help

CSIRO

© CSIRO 1996-2012