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WSU-IAREC Hop Pathology (Mycology) Program

WSU-IAREC Hop Pathology (Mycology) Program. INTEGRATED MANAGEMENT OF HOP POWDERY AND DOWNY MILDEW. Gary Grove Mark Nelson Oscar Garcia Mauricio Garcia Qingchun Liu. Ken Eastwell Dave Gent Jim Barbour Doug Walsh Cindy Ocamb Steve Kenny.

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WSU-IAREC Hop Pathology (Mycology) Program

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  1. WSU-IAREC Hop Pathology (Mycology) Program INTEGRATED MANAGEMENT OF HOP POWDERY AND DOWNY MILDEW • Gary Grove • Mark Nelson • Oscar Garcia • Mauricio Garcia • Qingchun Liu • Ken Eastwell • Dave Gent • Jim Barbour • Doug Walsh • Cindy Ocamb • Steve Kenny

  2. INTEGRATED MANAGEMENT OF HOP POWDERY AND DOWNY MILDEW Objectives 1. Evaluation of emerging technologies, disease control products and disease management programs for control of hop powdery mildew and hop downy mildew. 2. Cooperate with Dr. David Gent and other hop researchers in the development of control strategies for hop powdery mildew and other diseases. Emphasis of cooperation with D. Gent in 2008 will include: a.Continue development of a growing degree-day model to predict powdery mildew flagshoot emergence. b. Validate a preliminary powdery mildew cone infection model. c. Continue crop loss studies to quantify yield and quality impacts when powdery mildew control measures are terminated at different crop development stages. d. Evaluation of “push” technologies for implementation of the WSU AgWeatherNet hop powdery mildew model in Washington and Oregon. 3. Improve and implement molecular detection techniques to differentiate hop powdery mildew from other fungal species collected by spore trapping. This proposal represents a portion of the funding required for this project. Progress will depend on funding from sources other than HRC and WHC. The addition of a postdoctoral scientist has accelerated progress towards this goal. 4. Continue development and improvement of a hop information technology system and further integrate the system into AgWeatherNet and AgAlertz. Although personnel supported by HRC and WHC will contribute to this project, funding for this objective was obtained from another source. 5. Update and distribute information to growers and crop consultants regarding management of resistance to hop powdery mildew and downy mildew fungicides.

  3. Air sampling by Burkhard and Rotorod traps: Hop Powdery Mildew 10 liters per minute ~220 liters per minute

  4. Quantitative Real-Time PCR (qPCR) AssayDr. Qingchun Liu Specific primers were designed from the intergenic spacer (IGS) region. Specificity was evaluated against 28 different powdery mildews belonging to four clades (Podosphaera, Erysiphe, Blumeria, and Leveillula). The real-time PCR assay was developed using SYBR Green chemistry Sensitivity: as few as 5 HPM spores

  5. Air sampling by Burkhard and Rotorod traps: 2009 Data 10 liters per minute ~220 liters per minute

  6. Detection of Hop Powdery Mildew Spores in Air Samples at WSU-Prosser Powdery Mildew Conidia

  7. Correlations • r = 0.60; p < 0.0002 (full season) • r = 0.88 (after June 23) r = 0.60 r = 0.88

  8. Burkard Cyclonic Air Sampler

  9. Technique • Spore trap samples air (minimum of 16.5 liters/minute) • Deposits in Eppendorf vial • qPCR indicates amount of inoculum in sample • Compare with rotary impaction and volumetric samplers

  10. Advantages • Deposits samples in Eppendorf tube • Operational programming that permits more precision over sampling times and durations • Robust contruction-Burkard known for precision instrumentation. • Should permit better focus on specific times (hours, etc.)

  11. Hop Information Network http://hops.wsu.edu http://hops.wsu.edu/m (mobile)

  12. Hop Information Network • Shared documents • Weather data • Calendar • Contacts • Surveys • Notifications • Push delivery of files and/orweather-derived info • Interactive • Web “subsites”

  13. Content Alert Configuration

  14. RSS News Feed (Quick Read)

  15. Notification

  16. Surveys

  17. Portals

  18. AgAlertz “Push” Technologies • Weather parameters and disease models • Automated email • Text messaging • Synthesized voice + voice messaging • English • Spanish under development

  19. Alert Configuration Disease Weather Parameter

  20. Alert Configuration Weather Parameter

  21. AWN Mobile Web Site • http://weather.wsu.edu/mobile • Weather data • Value-added products • Disease models • Water use models • Degree day calculations

  22. AWN Mobile Web Site Disease Models Current Conditions Meteograms

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