Use of the Canopy Chlorophyl Content Index (CCCI) for Remote Estimation of Wheat Nitrogen Content in Rainfed Environments
- Davide Cammarano *af,
- Glenn Fitzgeraldb,
- Bruno Bassocd,
- Garry O'Leary,
- Deli Chena,
- Peter Gracee and
- Costanza Fiorentinoc
- a Dep. of Resource Management and Geography, School of Land and Environment, The Univ. of Melbourne, Parkville, VIC, Australia
f Current address: Institute for Sustainable Resources, Queensland Univ. of Technology, D Level 3, Gardens Point, Queensland, 4001, Australia
b Dep. of Primary Industries, 110 Natimuk Rd., Horsham, VIC, Australia
c Dep. of Crop Systems, Forestry and Environmental Sciences, Univ. of Basilicata, Via Ateneo Lucano 10, Potenza, 85100, Italy
d Institute for Sustainable Resources, Queensland Univ. of Technology, D Level 3, Gardens Point, Queensland, 4001, Australia and Kellogg Biological Station, Michigan State Univ., Hickory Corners, MI
e Institute for Sustainable Resources, Queensland Univ. of Technology, D Level 3, Gardens Point, Queensland, 4001, Australia
Estimation of canopy N content in rainfed environments early in the growing season and across different locations is challenging due to differences in canopy structure, canopy cover, and soil reflectance. The hypothesis of this study was that the combination of the remotely sensed Canopy Content Chlorophyll Index (CCCI) and the Canopy Nitrogen Index (CNI) allows for the estimation of canopy N status directly from remote measurements, independently of cultivar and site. The aims of this study were to (i) estimate canopy N content from CCCI and CNI in two rainfed environments and on two different wheat cultivars; (ii) study the effects of different ways of deriving the CCCI on the estimation of canopy N content. Data were collected from two rainfed sites cropped to wheat, one in Italy (Foggia) and the other in Australia (Horsham, Victoria). Studies were conducted during the growing seasons 2006–2007 (December–June) and 2007 (June–December) for the Italian and Australian sites, respectively. The use of the CCCI in combination with the CNI show that it is possible to estimate canopy N content early in the season (DC 30), (y = 0.94x + 0.15; r2 = 0.97; RMSE = 0.20 g N m−2) when farmers make their N fertilization decisions. Future research is needed to further validate such approach on independent locations with different growing season rainfall; and to study the robustness of the CCCI boundaries on different environments and different crop types and develop a method to estimate biomass under chronic and acute water stress.Please view the pdf by using the Full Text (PDF) link under 'View' to the left.
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