Abstract

Glyphosate is one of the most widely used non-selective systemic herbicides, but nowadays its application is controversially discussed. Optical remote sensing techniques might provide a sufficient tool for monitoring glyphosate use. In order to investigate the potential of this technology, a laboratory experiment was set-up using pots with rolled grass sods. Glyphosate-treated plants were compared to drought-stressed and control plants. All pots were frequently measured using a field spectrometer and a hyperspectral-imaging camera. Plant samples were analysed for photosynthetic pigments, polyphenols and dry matter content. Eight selected vegetation indices were calculated from the spectral measurements. The results show that photosynthetic pigments were sensitive to differentiate between control and glyphosate treated plants already 2 days after application. From the vegetation indices, the normalized difference lignin index (NDLI) responded most sensitively followed by indices referring to photosynthetic pigments, namely, the carotenoid reflectance index (CRI-1) and the photochemical reflectance index (PRI). It can be concluded that spectral vegetation indices are, in principal, a suitable proxy to non-destructively monitor glyphosate application on agricultural fields. Further research is needed to verify its applicability under field conditions. An operational monitoring is, however, currently limited by the requirements for temporal and spectral resolution of the satellite sensors.

Highlights

  • Glyphosate is the most widely used foliar-applied, non-selective herbicide against a broad range of different weeds

  • The modified anthocyanin reflectance index (mARI), was able to differentiate between glyphosate and drought treatment at the last sampling date, when all other indices showed no statistically different values

  • Besides the normalized difference lignin index (NDLI) the indices that referred to photosynthetic pigments showed a good relation to glyphosate treatment, while the indices referring to polyphenols, plant structure (NDVI) and water content (NDWI) seem to be less sensitive to early detect glyphosate application

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Summary

Introduction

Glyphosate is the most widely used foliar-applied, non-selective herbicide against a broad range of different weeds. It causes nearly a direct growth inhibition, followed by chlorosis in young tissues and necrosis throughout the entire plant within 1–2 weeks after application. Image analysis is already used in breeding programs to select herbicide-resistant varieties as proposed by Ali et al [11] It was the aim of the current study to analyse the spectral signature of glyphosate-treated plants in comparison to control plants and plants under drought stress to evaluate if there is a glyphosate-specific spectral pattern.

Experimental
Experimental design to investigate signature plants diebyoff by glyphosate
Plant Sampling and Chemical Analysis
Spectral Measurements
Spectral Vegetation Indices
Statistical
Selected reflectance spectra of the
Spectral Vegetation
Differences
Development
Theon indices inresponded the following order
Discussion
Findings
Changein inthe
Conclusions
Full Text
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