Non-destructive detection of water stress and estimation of relative water content in maize

Non‐destructive estimation of leaf water content provides vital information about vegetation productivity. We report here on controlled seven day experiments using greenhouse‐grown maize. Fifty plants were randomly assigned to two equal groups: water stressed and well watered. Spectroscopic, relativ...

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Bibliographic Details
Published in:Geophysical research letters 2009-06, Vol.36 (12), p.n/a
Main Authors: Zygielbaum, Arthur I., Gitelson, Anatoly A., Arkebauer, Timothy J., Rundquist, Donald C.
Format: Article
Language:English
Subjects:
Albedo
Corn
Earth sciences
Earth, ocean, space
Exact sciences and technology
Geobiology
Leaves
non-destructive
Remote sensing
Water
Water content
Water deficit
water status
Water stress
Wavelengths
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Summary:Non‐destructive estimation of leaf water content provides vital information about vegetation productivity. We report here on controlled seven day experiments using greenhouse‐grown maize. Fifty plants were randomly assigned to two equal groups: water stressed and well watered. Spectroscopic, relative water content (RWC), and chlorophyll concentration measurements were made daily. Because water molecules absorb radiation in near‐ and middle‐infrared, most efforts to sense water deficit remotely utilize infrared wavelengths. In these experiments, we identified a strong, systematic, and repeatable relationship between photosynthetically active radiation (PAR, 400–700 nm) albedo and leaf RWC. We show that visible spectrum reflectance provides a means to detect early stages of plant stress and estimate leaf RWC.
ISSN:0094-8276
1944-8007
DOI:10.1029/2009GL038906