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Plant Pathology

Faculty

Research Assistant

Technician 1

Robert Spotts Gordon McCarty
     

Strong emphasis is placed on integrated fruit production (IFP) in which pesticide use is reduced as much as possible without negatively impacting production or quality. Predictive models for disease are important components of IFP. We have developed a pear scab model and are validating it in conjunction with computerized radio telemetry weather systems. In the future, disease models, current infection conditions, and integration of disease models with weather data will be available on a real time basis to growers through the Internet.

Models to predict fruit decay in storage also are being developed for blue mold and gray mold of apple and pear. Postharvest models employ a molecular approach using real time PCR to relate populations of pathogens in the orchard to decay in storage. In addition, we have discovered and patented three yeasts that are effective biological control agents for several postharvest diseases of apple, pear, and sweet cherry. One of the yeasts has been formulated and is under commercial development.

A third innovation in plant pathology is the availability of rapid, accurate, and economical techniques for identification of diseases. Techniques that are currently being developed and tested include monoclonal antibodies, multiplex PCR, and real time PCR.

Packing Line
Entomology Plant Pathology
Horticulture Postharvest Physiology
  Pear Variety Trials Soil Fertility/Biology & Plant Nutrition
15-Jan-2008

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