Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

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

Authors
Lee, UnseokSilva, Renato RodriguesKim, ChangsooKim, HyoungseokHeo, SeongPark, In SungKim, WookJansky, ShelleyChung, Yong Suk
Issue Date
Jun-2019
Publisher
SPRINGER
Keywords
High throughput phenotyping; Automated screening; Digital; Disease; Accurate data
Citation
AMERICAN JOURNAL OF POTATO RESEARCH, v.96, no.3, pp.303 - 313
Indexed
SCIE
SCOPUS
Journal Title
AMERICAN JOURNAL OF POTATO RESEARCH
Volume
96
Number
3
Start Page
303
End Page
313
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/65195
DOI
10.1007/s12230-019-09717-8
ISSN
1099-209X
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.
Files in This Item
There are no files associated with this item.
Appears in
Collections
Graduate School > Department of Plant Biotechnology > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Wook photo

Kim, Wook
Department of Plant Biotechnology
Read more

Altmetrics

Total Views & Downloads

BROWSE