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

J Sci Food Agric

Agronomy College, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010019, China; College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100094, China; Agriculture and Agri-Food Canada (AAFC), Science and Technology Branch, Eastern Cereal and Oilseed Research C

Published: January 2015


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Article 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 (R(2) = 0.90) and heading (R(2) = 0.86) stages across water treatments. Leaf N also had a stronger association with the red-edge position (REP) at both stages (R(2) = 0.83 and 0.78), or with the ratio R4 (R760/R550) at jointing (R(2) = 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.

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http://dx.doi.org/10.1002/jsfa.6729DOI Listing

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