1. Data Collection

2. Existing Data Lilac Grasshopper data European Corn Bore Flights
Mark Schwartz
Grasshopper data
Stephen Johnson
European Corn Bore Flights
Web site
Dept of Ag statistics proportion of wheat headed, jointed, turned, harvested
Corn
Soybean
Sorghum
Potato
Alex Pavlista
Grape data

3. Ancillary Data
Precision
Numbers
Accuracy
Training
Daily

4. Collection Network What How Is it freely shared? Smooth Brome
Variety trials on annual crops
Is it freely shared?
Issue of how to share data – do they need to be co-authors

5. Data Formats Standardization Clones Annuals Bud/anthesis Planting date
Emergence date (leaf)
Bud/anthesis

6. Phenology to quantify and predict
Absolutely a part of quantifying the impact and providing information to provide information to help us adjust to the change
How many years?
More is better, but even some over time will be of help
What kind of data?
NAS (National Ag Statistics Service) is perhaps useful, but needs standardization and well defined data
Need indicator standardization
Could correlative work be done to standardize a given crop to lilac data?
Plant response to increase heat signals
Focus on winter annuals and perennials, but information on spring crops could also be valuable given emergence and planting date, data to go with it.
What quality needs?
Tight definition of what is measured.

7. Temperature and Photoperiod