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An Integrated Approach to Control and Manage Potato Black Dot Disease: A Review

  • Marta Sanzo-Miró
  • , Daniel M. Simms
  • , Faisal I. Rezwan
  • , Leon A. Terry
  • , M. Carmen Alamar*
  • *Corresponding author for this work
  • Cranfield University

Research output: Contribution to journalReview Articlepeer-review

12 Citations (Scopus)

Abstract

Potato black dot is a foliar and tuber blemish disease that has become an increasingly economic problem in recent years. Black dot is caused by the fungus Colletotrichum coccodes and is characterised by silver/brown lesions on the tuber skin leading to lower aesthetic quality of potatoes destined for the pre-pack market. Given the consumers’ growing demand for washed and pre-packed potatoes, skin blemish diseases (such as black dot and silver scurf), once considered of minor importance, are now serious challenges for the fresh potato industry. The management of C. coccodes is far from satisfactory at either pre- or postharvest stages: firstly, the disease symptoms have not been consistently described on potato plant foliage; and secondly, black dot disease is often confounded with other tuber blemishes during postharvest storage. Good field managing practices in combination with improved postharvest strategies and an accurate detection support tool can be a useful integrated approach to manage potato black dot disease. This review aims to evaluate and critically discuss different novel approaches for better management and detection of potato black dot disease.

Original languageEnglish
Pages (from-to)362-370
Number of pages9
JournalAmerican Journal of Potato Research
Volume100
Issue number5
Early online date15 Sept 2023
DOIs
Publication statusPublished - 31 Oct 2023

Keywords

  • Colletotrichum coccodes
  • Image analysis
  • Machine learning
  • Postharvest management
  • Tuber blemish disease

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