Jeong, S.-M.; Noh, T.-K.; Kim, D.-S. Herbicide Bioassay Using a Multi-Well Plate and Plant Spectral Image Analysis. Sensors2024, 24, 919.
Jeong, S.-M.; Noh, T.-K.; Kim, D.-S. Herbicide Bioassay Using a Multi-Well Plate and Plant Spectral Image Analysis. Sensors 2024, 24, 919.
Jeong, S.-M.; Noh, T.-K.; Kim, D.-S. Herbicide Bioassay Using a Multi-Well Plate and Plant Spectral Image Analysis. Sensors2024, 24, 919.
Jeong, S.-M.; Noh, T.-K.; Kim, D.-S. Herbicide Bioassay Using a Multi-Well Plate and Plant Spectral Image Analysis. Sensors 2024, 24, 919.
Abstract
Spectral image analysis has the potential to replace traditional approaches for assessing plant responses to different types of stress including herbicide, through non-destructive and high-throughput screening (HTS). Therefore, this study was conducted to develop a rapid bioassay method using a multi-well plate and spectral image analysis for diagnosis of herbicide activity and mode of action. Crabgrass (Digitaria ciliaris) as a model weed was cultivated in multi-well plates and subsequently treated with 6 herbicides with different modes of action when they reached the 1-leaf stage, using only a quarter of the recommended dose. To detect plant response to herbicides, plant spectral images were acquired after herbicide treatment using RGB, infrared (IR) thermal, and chlorophyll fluorescence (CF) sensors and analyzed for diagnosing herbicide efficacy and mode of action. Principal Component Analysis (PCA) using all spectral data successfully distinguished herbicides and clustered depending on their modes of action. The performed experiments have shown that the multi-well plate assay combined with spectral image analysis can be successfully applied for herbicide bioassay. In addition, the use of spectral image sensors, especially in CF image, would facilitate HTS by enabling rapid observation of herbicide response, as early as 3 hours after herbicide treatment.
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