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Sensors 2018, 18(1), 21;

Early Identification of Herbicide Stress in Soybean (Glycine max (L.) Merr.) Using Chlorophyll Fluorescence Imaging Technology

College of Engineering and Technology, Southwest University, Chongqing 400716, China
Institute of Phytomedicine, University of Hohenheim, 70599 Stuttgart, Germany
Author to whom correspondence should be addressed.
Received: 27 September 2017 / Revised: 14 December 2017 / Accepted: 15 December 2017 / Published: 22 December 2017
(This article belongs to the Special Issue Fluorescent Probes and Sensors)
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Herbicides may damage soybean in conventional production systems. Chlorophyll fluorescence imaging technology has been applied to identify herbicide stress in weed species a few days after application. In this study, greenhouse experiments followed by field experiments at five sites were conducted to investigate if the chlorophyll fluorescence imaging is capable of identifying herbicide stress in soybean shortly after application. Measurements were carried out from emergence until the three-to-four-leaf stage of the soybean plants. Results showed that maximal photosystem II (PS II) quantum yield and shoot dry biomass was significantly reduced in soybean by herbicides compared to the untreated control plants. The stress of PS II inhibiting herbicides occurred on the cotyledons of soybean and plants recovered after one week. The stress induced by DOXP synthase-, microtubule assembly-, or cell division-inhibitors was measured from the two-leaf stage until four-leaf stage of soybean. We could demonstrate that the chlorophyll fluorescence imaging technology is capable for detecting herbicide stress in soybean. The system can be applied under both greenhouse and field conditions. This helps farmers to select weed control strategies with less phytotoxicity in soybean and avoid yield losses due to herbicide stress. View Full-Text
Keywords: herbicide stress; phytotoxicity; soybean; chlorophyll fluorescence imaging herbicide stress; phytotoxicity; soybean; chlorophyll fluorescence imaging

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Li, H.; Wang, P.; Weber, J.F.; Gerhards, R. Early Identification of Herbicide Stress in Soybean (Glycine max (L.) Merr.) Using Chlorophyll Fluorescence Imaging Technology. Sensors 2018, 18, 21.

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