Location: Subtropical Plant Pathology Research
2013 Annual Report
2. Developed a tool to calculate resources required and optimize the use of sampling resources.
3. Deliver user friendly Excel-spreadsheet based module that can be used by regulatory agencies.
A survey method has been developed for plant animal and human disease pathosystems. We intend to test this method against data in the next quarter. The method can then be used for early detection of pathogen entry in large scale areas.
We have gathered the data necessary to validate the MPS. Data sets on HLB in Florida show to be the best test example. For the purposes of this study USDA-APHIS made the HLB component of its MPS dataset available for the period during 2010 and 2011 whereby six survey cycles were conducted over 38 weeks. During each individual survey cycle a number of plantings were selected using an algorithm which randomly samples all citrus plantings in Florida without replacement. These data will be used in the coming year to validate the MPS system. A first try, with estimated parameters, shows that the validation method and data set work very well.
Work on this objective is underway. Initial spreadsheets are being set up. The estimator will be developed such that it reacts dynamically to sampling frequency, intensity and distribution of samples. We intent to link the estimator to various survey programs that provide an estimate of the number of samples needed.
Delivery of the user friendly model and excel spreadsheet is scheduled for later in the grant timeline.