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Integration of PAM-IMAGING Chlorophyll Fluorometry  for Herbicide Sensitivity Estimations in Weed Research

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Integration of PAM-IMAGING Chlorophyll Fluorometry for Herbicide Sensitivity Estimations in Weed Research (English shop)

Alexander Linn (Author)


Table of Contents, PDF (620 KB)
Extract, PDF (680 KB)

ISBN-13 (Hard Copy) 9783736971837
ISBN-13 (eBook) 9783736961838
Language English
Page Number 66
Lamination of Cover matt
Edition 1.
Publication Place Göttingen
Place of Dissertation Hohenheim
Publication Date 2020-03-12
General Categorization Dissertation
Departments Agricultural science
Plant production
Agricultural engineering
Keywords Agrarwissenschaften, Herbologie, Unkrautbekämpfung, Chemischer Pflanzenschutz, Herbizid, Herbizidresistenz der Unkräuter, Unkraut, Kulturpflanze, Pflanzenstress, Pflanzenphysiologie, Chlorophyllfluoreszenz, Maximale Quantenausbeute des Photosystems II, Entscheidungsunterstützung, Photosystem II, Biologie der Unkräuter, Herbicide mode of action, Herbicide resistance detection, Precision farming, Integrated weed management, Dose-response, Herbicide resistance management, Portable PAM-imaging chlorophyll fluorometer, Classifier, Greenhouse, Field studies, Herbicide efficacy, Ackerbau, Pulse amplitude modulated chlorophyll fluorescence imaging, Ground fluorescence, Maximum fluorescence, Fluorescence ratio, Fv/Fm, ALS inhibitor, ACCase inhibitor, herbicide-resistant weed, rapid detection, laboratory study, PAM fluorimeter, discriminant analysis, plant health, weed research

Fast in-field herbicide resistance detection is a key requirement for future herbicide resistance management, yet secure and rapid herbicide resistance tests are still missing. Chlorophyll fluorescence and chlorophyll fluorescence ratios can be very sensitive to changes in plant health status. Recent studies have demonstrated the potential of chlorophyll fluorescence measurements to evaluate the herbicide impact on crops and weeds. The fluorescence ratio Fv/Fm quantifies the maximum quantum efficiency of photosystem II (Fv/Fm) and indicates reliably plant health status. Hitherto, research on herbicide resistance detection via the Fv/Fm value have concentrated on Alopecurus myosuroides Huds. Investigations concerning herbicide resistance detection in other important weed species, both monocotyledonous as well as dicotyledonous, have not been carried out to a large extent. This work addresses the apparent gap in knowledge by four lines of research.