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

Authors :
Wook Kim
Hyoung Seok Kim
Yong Suk Chung
In Sung Park
Unseok Lee
Seong Heo
Renato Rodrigues Silva
Shelley Jansky
Changsoo Kim
Source :
American Journal of Potato Research. 96:303-313
Publication Year :
2019
Publisher :
Springer Science and Business Media LLC, 2019.

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.

Details

ISSN :
18749380 and 1099209X
Volume :
96
Database :
OpenAIRE
Journal :
American Journal of Potato Research
Accession number :
edsair.doi...........331a1faca061d48fbb475f65c2abc025