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

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EUR 29,90

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EUR 25,08

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

Alexander Linn (Autor)

Vorschau

Inhaltsverzeichnis, PDF (620 KB)
Leseprobe, PDF (680 KB)

ISBN-13 (Printausgabe) 9783736971837
ISBN-13 (E-Book) 9783736961838
Sprache Englisch
Seitenanzahl 66
Umschlagkaschierung matt
Auflage 1.
Erscheinungsort Göttingen
Promotionsort Hohenheim
Erscheinungsdatum 12.03.2020
Allgemeine Einordnung Dissertation
Fachbereiche Land- und Agrarwissenschaften
Pflanzenproduktion
Agrartechnik
Schlagwörter 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
Beschreibung

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.