ORIGINAL ARTICLE
Forecasting of potato white mold by assessment of ascospores in Iran fields
 
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1
Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam
2
Faculty of Applied Sciences, Ton Duc Thang University, Ho Chi Minh City, Vietnam
3
Department of Plant Protection, College of Agriculture, Azad University of Tabriz, Iran
4
College of Biosystems Engineering and Food Science, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
Submission date: 2018-01-06
Acceptance date: 2018-06-13
 
Journal of Plant Protection Research 2018;58(2):168–175
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ABSTRACT:
Potato white mold caused by Sclerotinia sclerotiorum is an important plant disease occurred in many potato-producing areas throughout the world. In this study, a specific diagnostic method was used to detect and quantify S. sclerotiorum ascospores, and its ability was assessed in a forecasting scheme in potato fields during flowering period of 2011 to 2014 in Bahar county, Hamedan province. Using GenEMBL database, a primer pair, HZSCREV and HZSCFOR, was designed and optimized for the pathogen. After testing the sensitivity of primers, DNA was extracted from samples of outdoor Burkard trap from potato fields. A linear association was observed between pathogen DNA and the number of ascospores using quantitative PCR (qPCR) technique in presence of SYBR dye. The qPCR could successfully detect DNA amount representing two S. sclerotiorum ascospores, and was not sensitive to a variety of tested fungi such as Botrytis cinerea, Alternaria brassicae, Fusarium solani. Contrary to rainfall amount, a direct relationship was found between ascospore number and incidence of potato white mold during 2011 to 2014.
CORRESPONDING AUTHOR:
Seyedmohammadreza Ojaghian   
Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam
 
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