A Fluorescence Sensor Capable of Real-Time Herbicide Effect Monitoring in Greenhouses and the Field
| Autor: | Roland Gerhards, Weidong Jia, Pei Wang, Hui Li, Yin Chen |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Chlorophyll
0106 biological sciences Pesticide resistance Plant Weeds Greenhouse Poaceae lcsh:Chemical technology 01 natural sciences Biochemistry Article Fluorescence Analytical Chemistry chemistry.chemical_compound herbicide effect lcsh:TP1-1185 Electrical and Electronic Engineering Instrumentation Chlorophyll fluorescence Fluorescence sensor biology chlorophyll fluorescence Herbicides Alopecurus myosuroides Agriculture 04 agricultural and veterinary sciences Pesticide biology.organism_classification Atomic and Molecular Physics and Optics Apera chemistry Agronomy 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Environmental science real-time identification 010606 plant biology & botany |
| Zdroj: | Sensors, Vol 18, Iss 11, p 3771 (2018) Sensors Volume 18 Issue 11 Sensors (Basel, Switzerland) |
| ISSN: | 1424-8220 |
| Popis: | Herbicide resistant weeds need to be identified early so that yield loss can be avoided by applying proper field management strategies. A novel chlorophyll-fluorescence-imaging sensor has been developed to conduct real-time herbicide effect evaluation. In this research, greenhouse and field experiments were conducted to calibrate the capability of the sensor in monitoring herbicide effects on different biotypes of two grass weeds (Alopecurus myosuroides, Apera spica-venti) in southwestern Germany. Herbicides with different modes of action were applied for the effect monitoring. Chlorophyll fluorescence yield of the plants was measured 3&ndash 15 days after treatment (DAT) using the new fluorescence sensor. Visual assessment of the weeds was carried out on 21 DAT. The results showed that the maximal PS II quantum yield (Fv/Fm) of herbicide sensitive weeds was significantly lower than the values of resistant populations in 5 DAT. The new technology was capable of quickly identifying the herbicide&rsquo s effect on plants. It can be used to optimize management strategies to control herbicide resistant weeds. |
| Databáze: | OpenAIRE |
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