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Direct and indirect technical guide for the early detection and management of fungal plant diseases.

Current research in microbial sciences · 12 Sept 2024 · 10.1016/j.crmicr.2024.100276

Abstract

Fungal plant diseases are a major threat to plants and vegetation worldwide. Recent technological advancements in biotechnological tools and techniques have made it possible to identify and manage fungal plant diseases at an early stage. These techniques include direct methods, such as ELISA, immunofluorescence, PCR, flow cytometry, and in-situ hybridization, as well as indirect methods, such as fluorescence imaging, hyperspectral techniques, thermography, biosensors, nanotechnology, and nano-enthused biosensors. Early detection of fungal plant diseases can help to prevent major losses to plantations. This is because early detection allows for the implementation of control measures, such as the use of fungicides or resistant varieties. Early detection can also help to minimize the spread of the disease to other plants. The techniques discussed in this review provide a valuable resource for researchers and farmers who are working to prevent and manage fungal plant diseases. These techniques can help to ensure food security and protect our valuable plant resources.

Plant phenotyping relevance

植物病害の早期検出技術を体系的に扱うレビューで、蛍光画像、ハイパースペクトル、サーモグラフィーなど、植物の病害状態を観測する手法が中心的に論じられている。分子診断も含むが、植物病害フェノタイピング手法のレビューとして採用可能。

abstractThe techniques discussed in this review provide a valuable resource for researchers and farmers who are working to prevent and manage fungal plant diseases.
abstractindirect methods, such as fluorescence imaging, hyperspectral techniques, thermography, biosensors, nanotechnology, and nano-enthused biosensors.

Code and data availability

This is a review article on fungal plant disease detection techniques with no paper-specific phenotyping datasets, images, code, or models. The Data Availability Statement explicitly states no data was used.

No evidence-backed public reproduction asset is currently recorded.

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