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BLIGHTSIM: A new potato late blight model simulating the response of phytophthora infestans to diurnal temperature and humidity fluctuations in relation to climate change

  • Hossein A. Narouei-Khandan
  • , Shankar K. Shakya
  • , Karen A. Garrett
  • , Erica M. Goss
  • , Nicholas S. Dufault
  • , Jorge L. Andrade-Piedra
  • , Senthold Asseng
  • , Daniel Wallach
  • , Ariena H.C. van Bruggen
  • University of Florida
  • Ministry for Primary Industries
  • International Potato Center
  • University of Florida
  • UMR 1248 Agrosystèmes et développement territorial (AGIR)

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Abstract

Temperature response curves under diurnal oscillating temperatures differ from those under constant conditions for all stages of the Phytophthora infestans infection cycle on potatoes. We developed a mechanistic model (BLIGHTSIM) with an hourly time step to simulate late blight under fluctuating environmental conditions and predict late blight epidemics in potato fields. BLIGHTSIM is a modified susceptible (S), latent (L), infectious (I) and removed (R) compartmental model with hourly temperature and relative humidity as driving variables. The model was calibrated with growth chamber data covering one infection cycle and validated with field data from Ecuador. The model provided a good fit to all data sets evaluated. There was a significant interaction between average temperature and amplitude in their effects on the area under the disease progress curve (AUDPC) as predicted from growth chamber data on a single infection cycle. BLIGHTSIM can be incorporated in a potato growth model to study effects of diurnal temperature range on late blight impact under climate change scenarios.

Original languageEnglish
Article number659
Pages (from-to)1-20
Number of pages20
JournalPathogens
Volume9
Issue number8
DOIs
StatePublished - Aug 2020
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Lesion growth
  • Oscillating temperatures
  • R
  • Relative reproductive rate
  • SEIR model
  • Simulation model

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