Upgrade to Pro — share decks privately, control downloads, hide ads and more …

Modeling spatiotemporal dynamics and time to regional outbreaks of soybean rust in southern Brazil

Modeling spatiotemporal dynamics and time to regional outbreaks of soybean rust in southern Brazil

Emerson M. Del Ponte

August 20, 2020
Tweet

More Decks by Emerson M. Del Ponte

Other Decks in Education

Transcript

  1. Modeling spatiotemporal dynamics and time to regional outbreaks of soybean

    rust in southern Brazil Kaique Alves | Adam Sparks | Emerson Del Ponte
  2. Follow up: now using 15 years - SBR prevalence All

    years (2005 - 2019) 2 States (south) PR and RS Commercial soybean fields First (date) report in a county 2,027 records ~15,000 records PR RS
  3. Epidemic time MaxPrev AUDPC r Time_10 10% Prev90 Prev120 Temporal

    progress description / analysis Time to outbreak (Survival analysis)
  4. Conclusions • Large scale spatiotemporal spread varies among seasons and

    states • Multiple inoculum sources affect initial epidemic area • Early- and mid- season weather plays a major role • ENSO conditions useful as early warning Tactical Strategical Pre-season Growing season Risk prediction Outlook Forecasting Warning What's next? Develop models for predicting and mapping disease risk at the regional level Thank you! @edelponte