New Insights in the Detection and Management of Anthracnose Diseases in Strawberries.

Abstract

Anthracnose diseases, caused by Colletotrichum spp., are considered to be among the most destructive diseases that have a significant impact on the global production of strawberries. These diseases alone can cause up to 70% yield loss in North America. Colletotrichum spp. causes several disease symptoms on strawberry plants, including root, fruit, and crown rot, lesions on petioles and runners, and irregular black spots on the leaf. In many cases, a lower level of infection on foliage remains non-symptomatic (quiescent), posing a challenge to growers as these plants can be a significant source of inoculum for the fruiting field. Reliable detection methods for quiescent infection should play an important role in preventing infected plants' entry into the production system or guiding growers to take appropriate preventative measures to control the disease. This review aims to examine both conventional and emerging approaches for detecting anthracnose disease in the early stages of the disease cycle, with a focus on newly emerging techniques such as remote sensing, especially using unmanned aerial vehicles (UAV) equipped with multispectral sensors. Further, we focused on the acutatum species complex, including the latest taxonomy, the complex life cycle, and the epidemiology of the disease. Additionally, we highlighted the extensive spectrum of management techniques against anthracnose diseases on strawberries and their challenges, with a special focus on new emerging sustainable management techniques that can be utilized in organic strawberry systems.

Plant phenotyping relevance

イチゴ植物の病徴・感染状態を検出する手法のレビューであり、UAV搭載マルチスペクトルセンサーによるリモートセンシングを中心に扱うため、植物病害フェノタイピング手法のレビューに該当する。

Code and data availability

This is a review article on strawberry anthracnose detection and management. It discusses remote sensing, hyperspectral imaging, and UAV-based phenotyping approaches, but all such studies are cited prior work (references 48, 53, 56-61, etc.). No public phenotype/trait datasets, plant/sensor images, author analysis code

No evidence-backed public reproduction asset is currently recorded.