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

doi:10.1007/s12230-019-09717-8

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

Department of Biosystems and Biotechnology

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

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 bacteriumcan 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 language	English
Pages (from-to)	303-313
Number of pages	11
Journal	American Journal of Potato Research
Volume	96
Issue number	3
DOIs	https://doi.org/10.1007/s12230-019-09717-8
Publication status	Published - 2019 Jun

Bibliographical note

Publisher Copyright:
© The Potato Association of America 2019.

Keywords

Accurate data
Automated screening
Digital
Disease
High throughput phenotyping

ASJC Scopus subject areas

Agronomy and Crop Science

Access to Document

10.1007/s12230-019-09717-8

Cite this

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title = "Image Analysis for Measuring Disease Symptom to Bacterial Soft Rot in Potato",

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 bacteriumcan 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.",

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AU - Lee, Unseok

AU - Silva, Renato Rodrigues

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AU - Kim, Hyoungseok

AU - Heo, Seong

AU - Park, In Sung

AU - Kim, Wook

AU - Jansky, Shelley

AU - Chung, Yong Suk

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N2 - 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 bacteriumcan 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.

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

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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