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Research and IPMCalifornia PestCast: Research Projects
PestCast supported disease and other pest model research and validation projects that could benefit from establishment of a weather network. By January 1998, the PestCast Steering Committee had approved support for 15 projects on 11 crops.
Project Leaders and
Cooperators Description This project will compare models developed in other regions of California and the U.S. for performance in San Joaquin Valley. Modifications to the best model will be made as needed. PestCast Contribution
Project Leaders and Cooperators Description The project's goal is to validate and refine as necessary a model based on observed weather to forecast leaf blight occurrence and the optimum time to apply fungicides for disease control. Work is being done in Kern County, and the model being validated was developed specifically for carrots grown in the San Joaquin Valley. PestCast Contribution
Project Leaders and Cooperators Description The project will collect data to validate the powdery mildew model, demonstrate the utility of that model to growers and PCAs, and promote implementation of grape leafhopper and omnivorous leafroller degree-day models. The three PestCast stations will augment the WEATHERNET network in San Joaquin County, bringing the number of stations to 15. PestCast Contribution
Project Leaders and Cooperators Description This project will work on validation of the UC Davis grape powdery mildew model in raisin and table grapes in the central San Joaquin Valley. This work will documents differences or similarities in model performance between raisin and wine grapes. Verification of a model for omnivorous leafroller will also be conducted. The new stations will form a new research network of six stations. PestCast Contribution
Project Leaders and Cooperators Description This project will validate Broome's Botrytis bunch rot model in table grapes and a degree-day model for OLR. It will also evaluate the role of powdery mildew fruiting bodies versus bud infections in the start of powdery mildew epidemics on table grapes and update mildew model with new information; and compare the results from the Gubler-Thomas model with Sall-Snyder model. PestCast Contribution
See Pear.
Project Leaders and Cooperators Description The purpose of the project is to refine the leaf wetness and disease risk assessment parameters, and the impact on grower production practices, associated with use of a downy mildew model on iceberg lettuce. As the model is validated and refined, implementation efforts will be undertaken. The work is being carried out in the Salinas and Santa Maria areas, and funded by several agencies, and growers, with most weather stations contributed by chemical companies. The entire network consists of thirteen stations in the two research areas. PestCast Contribution
Project Leaders and Cooperators Description This project will test the Spotts-Cervantes pear scab ascospore model, developed in the Pacific Northwest, in the Sacramento Delta pear-growing region. PestCast Contribution
Project Leaders and Cooperators Description The primary focus of the project is to refine and incorporate a pear scab ascospore maturation model into a disease risk index, using onsite weather stations. Use of the model is expected to increase the effectiveness of the presently used Mills Tables index to predict infection periods, by quantifying the availability of primary inoculum during the growing season. The work will use the Mills Tables, along with spore trapping and prediction using a new model developed by Spotts and Cervantes in Oregon for ascospore maturation. Additionally, codling moth and obliquebanded leafroller degree-day models will be validated, and the Cougar Blight fire blight model (developed by Tim Smith at Washington State University) will be evaluated for applicability to California. PestCast Contribution
Project Leaders and Cooperators Description The project aims to validate disease and insect models on pears, wine grapes, and walnuts in Lake County, then take steps to foster implementation by growers and PCAs. The Lake County Air Quality Management District and Lake County Fruit Frost Trust Fund will also contribute. The new stations will be a part of a network of approximately 8 stations. PestCast Contribution:
Project Leaders and Cooperators Description The project will test several existing late blight models developed in Europe to determine which are most appropriate to the Tulelake production region, and revise the best model as needed. PestCast Contribution
Project Leaders and Cooperators Description This project supports development of a predictive model for downy mildew on roses by adapting an existing model for downy mildew on hops. PestCast Contribution
Project Leaders and Cooperators Description This project will validate prior results of studies to predict brown rot based on latent infections in prunes, peaches, nectarines, and plums, and model the relationship between weather, apothecial production, sporulation of the fungus from mummies left in trees, inoculum concentration in air, and blossom blight, latent infestations of green fruit, and brown rot of mature fruit at harvest and postharvest. PestCast Contribution
Description This project will validate the Broome Botrytis bunch rot model, originally developed for grapes, for use in California strawberries. It will also compare results of several gray mold models developed in eastern U.S. with results from the grape bunch rot model. PestCast Contribution
Project Leaders and Cooperators Description The goal of the project is to validate and refine the TomCAST model (as adapted by Campbell Soup Co.) for timing fungicide applications to control blackmold; validate and implement a UC Cooperative Extension powdery mildew model that forecasts outbreaks based on temperature, relative humidity, and duration of leaf wetness; and to adapt the TomCAST model for timing fungicide applications to control late blight. Initiated and managed by the processing tomato industry and made possible by funds from several groups, a regional weather reporting network has been developed for the southern Sacramento Valley. This network of remote controlled weather stations is available during the growing season and is being used for model validation and to assist PCAs in forecasting blackmold treatments with improved accuracy. The network consists of 11 stations in Yolo, Sacramento, San Joaquin, and Sutter counties. PestCast Contribution
Project Leaders and Cooperators Description The goal of the project is to validate and refine the TomCAST model (as adapted by Campbell Soup Co.) for timing fungicide applications to control blackmold; validate and implement a UC Cooperative Extension powdery mildew model that forecasts outbreaks based on temperature, relative humidity, and duration of leaf wetness; and to adapt the TomCAST model for timing fungicide applications to control late blight. Eight stations in Sacramento and Sutter counties. PestCast Contribution
See Pear. |