Special Section on Remote Sensing and Sensor Networks for Promoting Agro-Geoinformatics, Part 2

Detection of the onset of glyphosate-induced soybean plant injury through chlorophyll fluorescence signal extraction and measurement

[+] Author Affiliations
Feng Zhao

Beihang University, School of Instrumentation Science and Opto-electronics Engineering, Xueyuan Road No. 37, Beijing 100191, China

Yiqing Guo

Beihang University, School of Instrumentation Science and Opto-electronics Engineering, Xueyuan Road No. 37, Beijing 100191, China

Yanbo Huang

United States Department of Agriculture, Agricultural Research Service, Crop Production Systems Research Unit, Experiment Station Road, Stoneville, Mississippi 38776, United States

Krishna N. Reddy, William T. Molin

United States Department of Agriculture, Agricultural Research Service, Crop Production Systems Research Unit, Experiment Station Road, Stoneville, Mississippi 38776, United States

Yanhua Zhao

Beijing Institute of Space Mechanics and Electricity, Youyi Road No. 104, Beijing 100094, China

J. Appl. Remote Sens. 9(1), 097098 (Jan 21, 2015). doi:10.1117/1.JRS.9.097098
History: Received August 3, 2014; Accepted December 18, 2014
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Abstract.  In this study, chlorophyll fluorescence (ChlF) was used to detect the onset of soybean plant injury from treatment of glyphosate, the most widely used herbicide. Thirty-six pots of nonglyphosate-resistant soybean were randomly divided into three groups and treated with different doses of glyphosate solutions. The three treatment groups were control (CTRL) group (with no glyphosate treatment), 0.25X group (treated with 0.217kg·ae/ha solution of glyphosate), and 0.5X group (treated with 0.433kg·ae/ha solution of glyphosate). Three kinds of fluorescence measurements, steady-state fluorescence spectra, Kautsky effect parameters, and ChlF-related spectral indices were extracted and generated from the measurements in the glyphosate treatment experiment. The mean values of these fluorescence measurements for each of the CTRL group, the 0.25X group, and the 0.5X group were calculated. Glyphosate-induced leaf injury was then analyzed by examining the separability of these mean values at 6, 24, 48, and 72 hours after the treatment (HAT). Results indicate that the peak position of far-red ChlF shows an obvious blue shift for glyphosate-treated soybean, and peak values of steady-state fluorescence spectra for the three groups can be significantly distinguished from each other at 48 HAT and later. Four Kautsky effect parameters, Fv, Fv/Fm, Area, and PI, are parameters sensitive to glyphosate treatment, showing some differences between the CTRL group and treated groups at 24 HAT, and significant differences among the three groups at and beyond 48 HAT. Moreover, ChlF-related spectral indices, R6832/(R675·R690) and R690/R655, are also shown to be useful in detection of the glyphosate injury, though they are less effective than the steady-state fluorescence spectra and the Kautsky effect parameters. Based on the presented results, it can be concluded that glyphosate-induced soybean injury can be detected in a timely manner by the ChlF measurements, and this method has the potential to be further developed into practical use.

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© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Feng Zhao ; Yiqing Guo ; Yanbo Huang ; Krishna N. Reddy ; Yanhua Zhao, et al.
"Detection of the onset of glyphosate-induced soybean plant injury through chlorophyll fluorescence signal extraction and measurement", J. Appl. Remote Sens. 9(1), 097098 (Jan 21, 2015). ; http://dx.doi.org/10.1117/1.JRS.9.097098


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