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Title Monitoring spatio-temporal dynamics of photosynthesis with a portable hyperspectral imaging system. A case-study to quantify photosynthetic efficiency on genetically modified Arabidopsis thaliana (L.)
Type Publication
Abstract:

Photosynthetic efficiency of higher plants dynamically adapts to changing light intensity and is greatly influenced by stress, such as water stress. We tested a new portable hyperspectral imaging system, the SOC-700, manufactured by Surface Optics, which produces 12 bit reflectance images between 440 and 880 nm with a 4 nm spectral resolution. We quantified the reflectance properties and photochemical reflectance index (PRI) during light adaptation of genetically modified Arabidopsis thaliana (L.) Heynh. plants lacking or over-expressing the PsbS protein, an essential component of the mechanism of non-photochemical dissipation. In a second experiment, PRI images of gradually water stressed leaves were compared to leaf-level measurements of reflectance using a second commercially available spectrometer, and chlorophyll fluorescence to detect dynamic, photosynthesis correlated changes in reflectance and PRI.
In both experiments PRI measured with the SOC-700 changed, reflecting the biochemical adaptation of the photosynthetic apparatus to high light intensity (dynamic changes within minutes) and the gradual deactivation of photosynthesis during drying (changes within hours). The quantum efficiency of photosystem II (F/Fm') and non-photochemical energy dissipation (NPQ) measured from chlorophyll fluorescence, were strongly correlated with PRI. Leaf area PRI values estimated from individual pixel spectra of the SOC-700 quantified photosynthetic efficiency more thoroughly than PRI values calculated from point measurements using the hand-held GER-1500. The applications, limitations and potentials of the SOC-700 for plant eco-physiology and remote sensing are also discussed.

Available from http://www.asprs.org/a/publications/pers/2007journal/january/abstracts.html#p45
Author
NICHOL Caroline j.
RASCHER Uwe
C. Small, L. Hendricks
Reference
Journal Photogrammetric Engineering and Remote Sensing
Volume 73
Pages 45-56
Year 2007
Times cited 0
Institute country United States
Type of science
  • Biology and Ecology (includes animals and vegetation)
Field of science
  • Biosphere
File details
Added Feb. 2, 2007, 00:00
Last update May 18, 2016, 15:20
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