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ARS Home » Midwest Area » Madison, Wisconsin » Vegetable Crops Research » Research » Publications at this Location » Publication #360140
Research Project: Maximizing the Impact of Potato Genebank Resources: Development and Evaluation of a Wild Species Genotype Diversity Panel

Location: Vegetable Crops Research

Title: Image analysis for measuring resistance to bacterial soft rot in potato

Author
item LEE, UNSEOK - Korea Institute Of Science And Technology
item SILVA, RENATO - Federal University Of Goias
item KIM, HYOUNGSEOK - Korea Institute Of Science And Technology
item Jansky, Shelley
item HEO, SEONG - Korea Institute Of Industrial Technology (KITECH)
item CHUNG, YONG SUK - Jeju National University

Submitted to: American Journal of Potato Research
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 2/4/2019
Publication Date: 3/8/2019
Citation: Lee, U., Silva, R.R., Kim, C., Kim, H., Heo, S., Park, I.S., Kim, W., Jansky, S.H., Chung, Y. 2019. Image analysis for measuring disease symptom to bacterial soft rot in potato. American Journal of Potato Research. 96:303-313. https://doi.org/10.1007/s12230-019-09717-8.
DOI: https://doi.org/10.1007/s12230-019-09717-8

Interpretive Summary: Storage losses through tuber rot can be a serious problem for potato growers. There are no curative measures to deal with rot due to bacterial pathogens such as those that cause soft rot. Genetic resistance offers a promising solution. However, it is time consuming to accurately screen large numbers of individuals for resistance in breeding programs. This paper outlines an approach that uses digital images to determine the extent to which tubers rot after exposure to the soft rot pathogen. Using this approach, large numbers of tubers can be accurately scored relatively quickly.

Technical 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.