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Data Collection - PowerPoint PPT Presentation

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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