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

Plants (Basel). 2023 Oct 27;12(21):3704. doi: 10.3390/plants12213704.

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.

Keywords: Colletotrichum acutatum; anthracnose fruit rot; crop protection; diagnostics; strawberry; sustainable management techniques.

Publication types

  • Review

Grants and funding

We are grateful for funding from the North East Sustainable Agriculture Research (NE-SARE), USDA research and education grant (#LNE20-401-34268-FE) program that enabled us to complete this article.