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
2019-06
Publisher
SPRINGER
Citation
AMERICAN JOURNAL OF POTATO RESEARCH, v.96, no.3, pp.303 - 313
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.
Keywords
TUBERS; PECTOBACTERIUM; CAROTOVORA; RESISTANCE; SEVERITY; High throughput phenotyping; Automated screening; Digital; Disease; Accurate data
ISSN
1099-209X
URI
https://pubs.kist.re.kr/handle/201004/119959
DOI
10.1007/s12230-019-09717-8
Appears in Collections:
KIST Article > 2019
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