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Utilization of Chlorophyll Fluorescence Imaging Technology to Detect Plant Injury by Herbicides in Sugar Beet and Soybean

Published online by Cambridge University Press:  20 June 2017

Jonas F. Weber ,
Christoph Kunz ,
Gerassimos G. Peteinatos ,
Hans-Joachim Santel  and
Roland Gerhards
Jonas F. Weber*
Affiliation:
Graduate Research Assistants, Department of Weed Science, University of Hohenheim, Stuttgart, Germany
Christoph Kunz
Affiliation:
Graduate Research Assistants, Department of Weed Science, University of Hohenheim, Stuttgart, Germany
Gerassimos G. Peteinatos
Affiliation:
Graduate Research Assistants, Department of Weed Science, University of Hohenheim, Stuttgart, Germany
Hans-Joachim Santel
Affiliation:
Weed Scientist and Professor, Department of Weed Science, University of Hohenheim, Stuttgart, Germany
Roland Gerhards
Affiliation:
Weed Scientist and Professor, Department of Weed Science, University of Hohenheim, Stuttgart, Germany
*
*Corresponding author’s E-mail: [email protected]
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Abstract

Sensor technologies are expedient tools for precision agriculture, aiming for yield protection while reducing operating costs. A portable sensor based on chlorophyll fluorescence imaging was used in greenhouse experiments to investigate the response of sugar beet and soybean cultivars to the application of herbicides. The sensor measured the maximum quantum efficacy yield in photosystem II (PS-II) (Fv/Fm). In sugar beet, the average Fv/Fm of 9 different cultivars 1 d after treatment of desmedipham plus phenmedipham plus ethofumesate plus lenacil was reduced by 56% compared to the nontreated control. In soybean, the application of metribuzin plus clomazone reduced Fv/Fm by 35% 9 d after application in 7 different cultivars. Sugar beets recovered within few days from herbicide stress while maximum quantum efficacy yield in PS-II of soybean cultivars was reduced up to 28 d. At the end of the experiment, approximately 30 d after treatment, biomass was reduced up to 77% in sugar beet and 92% in soybean. Chlorophyll fluorescence imaging is a useful diagnostic tool to quantify phytotoxicity of herbicides on crop cultivars directly after herbicide application, but does not correlate with biomass reduction.

Keywords

Desmedipham;ethofumesate;flufenacet;lenacil;metamitron;metribuzin;phenmedipham;soybean, Glycine max (L.) Merr.;sugar beet, Beta vulgaris (L.) ssp. vulgaris.Chlorophyll fluorescencecrop injuryFv/Fmimaging sensorPS-IIstress detection.
Type
Weed Management-Major Crops
Information
Weed Technology , Volume 31 , Issue 4 , August 2017 , pp. 523 - 535
Copyright
© Weed Science Society of America, 2017 

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Footnotes

Associate Editor for this paper: Ian Burke, Washington State University.

References

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