|Lead Researcher||Xiujie (Susie) Li|
|Co-Researcher(s)||James Xing, Jian Yang, Jie Chen|
|Start Date||April 2012|
|End Date||March 2014|
Current plant disease forecasting models typically consist of using subjective assessments and slow spore trapping/pathogen culturing methods. This can limit the amount of data collected, with delayed results past the time that disease control methods can be made.
Using Sclerotinia sclerotiorum, determine if the conductivity of the nanoparticle-ascospore complexes is correlated with the number of spores as measured by electrical conductivity.
Positive linear correlation between the number of S. sclerotiorum ascospores and the conductivity of their antibody-spore-gold nanoparticle complex. Minimum 5 ascospores can also be detected by conductivity measurements. The device could potentially be species-specific in the future.
More research must be done in-field, but this device could help growers decide their potential risk for disease development. This measurement will support whether a fungicide application is necessary or not – in a timely matter.
Keywords: Sclerotinia, Monitoring device, Fungicide
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