Image Analysis for Measuring Disease Symptom to Bacterial Soft Rot in Potato

Unseok Lee, Renato Rodrigues Silva, Changsoo Kim, Hyoungseok Kim, Seong Heo, In Sung Park, Wook Kim, Shelley Jansky, Yong Suk Chung

Research output: Contribution to journalArticle

Abstract

Bacterial soft rot is a devastating disease in potato. However, it is difficult to evaluate disease resistance because there are a number of ways the bacterium can infect tubers, including through lenticels, in bruised tissue, and through wounds. Thus, various screening methods have been developed to evaluate resistance in potato tubers. The methods published to date are limited in their ability to measure symptoms quickly and accurately in a large number of samples. Therefore, we developed a new high throughput phenotyping method to evaluate soft rot disease symptoms the assistance of image analysis software. This method has proven to be very efficient in evaluating disease symptoms.

Original languageEnglish
JournalAmerican Journal of Potato Research
DOIs
Publication statusPublished - 2019 Jan 1

Keywords

  • Accurate data
  • Automated screening
  • Digital
  • Disease
  • High throughput phenotyping

ASJC Scopus subject areas

  • Agronomy and Crop Science

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