Rapid monitoring of herbicide-resistant Alopecurus myosuroides Huds. using chlorophyll fluorescence imaging technology
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Sensor-based stress recognition is an effective tool for improving herbicide efficacy and selectivity. In this study, a chlorophyll fluorescence imaging sensor was used for measuring Maximal Photosystem II Quantum Yield (F v/F m) in Alopecurus myosuroides Huds. shortly after herbicide application. Five herbicides with different modes of action were sprayed on A. myosuroides field populations at three sites. Six herbicides were tested on herbicide-sensitive and herbicide-resistant A. myosuroides populations in the greenhouse. The field and greenhouse studies showed that F v/F m values of herbicide-sensitive and herbicide-resistant plants were significantly different 3 days after treatment (DAT). For the resistant populations, F v/F m values were equal to the untreated control plants. Therefore, ALS- and ACCase-inhibiting herbicides did not affect resistant populations. The PS II-inhibiting herbicide isoproturon reduced the F v/F m values of the sensitive plants faster than the resistant ones. In the greenhouse, the results were similar. A differentiation of sensitive and resistant weeds based on F v/F m values was possible already 1 DAT. We conclude that the chlorophyll fluorescence imaging sensor is capable of identifying herbicide-resistant weed populations shortly after herbicide application.
KeywordsChlorophyll fluorescence Maximal PS II Quantum Yield Herbicide resistance Alopecurus myosuroides Huds.
The authors would like to thank Dr. Jörg Kolbowski, Dr. Cornelia Köcher, Dr. Alexander Menegat, Dr. Yasmin Kaiser and Dr. Markus Sökefeld for their valuable advice and technical support. This project was funded by the Federal Ministry of Food and Agriculture in Germany (“BLE-Herbizidresistenz”—FKZ 2814705011) and the Chinese Scholarship Council (CSC, China, No. 201306350053).
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