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Data Collection

Data Collection. Existing Data. Lilac 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. Ancillary Data. Precision

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Data Collection

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  1. Data Collection

  2. Existing Data • Lilac • 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 • Smooth Brome • How • 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 • 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

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