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ARS Home » Northeast Area » Beltsville, Maryland (BARC) » Beltsville Agricultural Research Center » Hydrology and Remote Sensing Laboratory » Research » Publications at this Location » Publication #329580

Research Project: Quantifying and Monitoring Nutrient Cycling, Carbon Dynamics and Soil Productivity at Field, Watershed and Regional Scales

Location: Hydrology and Remote Sensing Laboratory

Title: Calibrations between chlorophyll meter values and chlorophyll contents vary as the result of differences in leaf structure

Author
item Freidman, J. - Collaborator
item Hunt, Earle - Ray

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 7/21/2016
Publication Date: 11/7/2016
Citation: Freidman, J., Hunt Jr, E.R. 2016. Calibrations between chlorophyll meter values and chlorophyll contents vary as the result of differences in leaf structure. Meeting Abstract. CDROM.

Interpretive Summary:

Technical Abstract: In order to relate leaf chlorophyll meter values with total leaf chlorophyll contents (µg cm-2), calibration equations are established with measured data on leaves. Many studies have documented differences in calibration equations using different species and using different growing conditions for the same species. Chlorophyll meters measure leaf transmittances at red (650 nm) and near-infrared (NIR, 940 nm) wavelengths; red light is strongly absorbed by chlorophyll, whereas there is minimal absorption of NIR light. Thin leaves generally transmit more light compared to thick leaves that generally reflect more light. We hypothesize differences among calibration equations result primarily from variations in internal leaf structure, which may be quantified by differences in the ratio of reflected to transmitted NIR light. SPAD-502 chlorophyll meter reading, chlorophyll content, and leaf spectral reflectances and transmittances were measured for different plant species, including maize and sunflower. Transmittances of NIR and red light were used to predict SPAD-502 values, and predicted values followed the one-to-one line with measured values. When leaves were grouped by the ratio of NIR reflectance to transmittance, regardless of species, we obtained consistent calibration equations with high R2 and low root-mean-square error, supporting the hypothesis. Leaf thickness and internal leaf structure are in part determined by species and crop variety, but also determined in part by growing conditions such as light levels during leaf development. Therefore, it is not recommended to use calibration equations developed by others. Instead, chlorophyll meters should report the measured red and NIR transmittances, and not just a single value.