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Forecasting potato white mold by assessment of ascospores in Iran fields

 

Seyedmohammadreza Ojaghian1,2*, Ali Mirzaei3, Wang Ling4

 

1Department 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, Zhejiang University, Hangzhou 310058, China

Received: January 6, 2018

Accepted: June 13, 2018

*Corresponding address:

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Abstract

Potato white mold caused by Sclerotinia sclerotiorum is an important plant disease occurring 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 forecasting ability was assessed in potato fields during flowering periods 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 traps from potato fields. A linear association was observed between pathogen DNA and the number of ascospores using the quantitative PCR (qPCR) technique in the presence of SYBR dye. The qPCR could successfully detect DNA amounts representing two S. sclerotiorum ascospores and was not sensitive to a variety of tested fungi such as Botrytis cinerea, Alternaria brassicae, Fusarium solani. In contrast to the amount of rainfall, a direct relationship was found between ascospore numbers and the incidence of potato white mold from 2011 to 2014.

 

Key words: ascospores, forecasting, PCR, potato, Sclerotinia sclerotiorum

 
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