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Characterization of nitrogen and water status in oat leaves using optical sensing approach.

Authors :
Zhao, Baoping
Ma, Bao‐Luo
Hu, Yuegao
Liu, Jinghui
Source :
Journal of the Science of Food & Agriculture. Jan2015, Vol. 95 Issue 2, p367-378. 12p.
Publication Year :
2015

Abstract

BACKGROUND Optical sensing is a potential tool to estimate plant N status, but soil water deficits may interefere with forming a clear relationship. A greenhouse study was conducted with oat plants treated with three water regimes and four N levels to determine whether optical sensing could be used to estimate leaf N and relative water content (RWC). RESULTS Leaf N was strongly correlated with reflectance at 550 nm and at around 705 nm, and N treatments caused a red-edge peak shift to lower wavelength. The ratio of the first derivative reflectance at 741-696 nm (FDRE) was identified to be a good estimator of leaf N at jointing ( R2 = 0.90) and heading ( R2 = 0.86) stages across water treatments. Leaf N also had a stronger association with the red-edge position (REP) at both stages ( R2 = 0.83 and 0.78), or with the ratio R4 (R760/R550) at jointing ( R2 = 0.88), than with chlorophyll meter (SPAD) readings. Under water stress, the predictive accuracy of leaf N increased with these reflectance indices, but decreased using SPAD readings. CONCLUSION The results indicate that specific reflectance indices of FDRE, REP and R4 may be used for a rapid and non-destructive estimation of oat plant N status over a range of water regimes. © 2014 Her Majesty the Queen in Right of Canada Journal of the Science of Food and Agriculture © 2014 Society of Chemical Industry [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00225142
Volume :
95
Issue :
2
Database :
Academic Search Index
Journal :
Journal of the Science of Food & Agriculture
Publication Type :
Academic Journal
Accession number :
99730496
Full Text :
https://doi.org/10.1002/jsfa.6729