Abstract
Key message
This study provided a non-destructive detection method with Vis–NIR hyperspectral imaging combining with physio-biochemical parameters in Helianthus annuus in response to Orobanche cumana infection that took insights into the monitoring of sunflower weed.
Abstract
Sunflower broomrape (Orobanche cumana Wallr.) is an obligate weed that attaches to the host roots of sunflower (Helianthus annuus L.) leading to a significant reduction in yield worldwide. The emergence of O. cumana shoots after its underground life-cycle causes irreversible damage to the crop. In this study, a fast visual, non-invasive and precise method for monitoring changes in spectral characteristics using visible and near-infrared (Vis–NIR) hyperspectral imaging (HSI) was developed. By combining the bands sensitive to antioxidant enzymes (SOD, GR), non-antioxidant enzymes (GSH, GSH + GSSG), MDA, ROS (O2−, OH−), PAL, and PPO activities obtained from the host leaves, we sought to establish an accurate means of assessing these changes and conducted imaging acquisition using hyperspectral cameras from both infested and non-infested sunflower cultivars, followed by physio-biochemical parameters measurement as well as analyzed the expression of defense related genes. Extreme learning machine (ELM) and convolutional neural network (CNN) models using 3-band images were built to classify infected or non-infected plants in three sunflower cultivars, achieving accuracies of 95.83% and 95.83% for the discrimination of infestation as well as 97.92% and 95.83% of varieties, respectively, indicating the potential of multi-spectral imaging systems for early detection of O. cumana in weed management.
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Data will be made available from the corresponding author upon reasonable request.
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Acknowledgements
We thank the support of the Ministry of Agriculture and Rural Affairs Key Laboratory of Spectroscopy Sensing, Zhejiang University, Hangzhou 310058, China.
Funding
We thank the National Natural Science Foundation of China (32172429, 32372566), Zhejiang Provincial Science and Technology Key Project (2022C02034), and Collaborative Innovation Center for Modern Crop Production co-sponsored by Province and Ministry (CIC-MCP) for financial support.
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WZ, JL, FL and LX designed the experiments. JL, TP, XY and QH collected samples, performed the experiments and analyzed the data. JL, TP, UN, MF, FL, WZ and LX wrote and revised the paper. All authors read and approved the manuscript.
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Communicated by Muthu Thiruvengadam.
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Li, J., Pan, T., Xu, L. et al. Monitoring of parasite Orobanche cumana using Vis–NIR hyperspectral imaging combining with physio-biochemical parameters on host crop Helianthus annuus. Plant Cell Rep 43, 220 (2024). https://doi.org/10.1007/s00299-024-03298-5
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DOI: https://doi.org/10.1007/s00299-024-03298-5