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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

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 env...

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Autores principales: Narouei-Khandan, Hossein A., Shakya, Shankar K., Garrett, Karen A., Goss, Erica M., Dufault, Nicholas S., Andrade-Piedra, Jorge L., Asseng, Senthold, Wallach, Daniel, van Bruggen, Ariena H.C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7459445/
https://www.ncbi.nlm.nih.gov/pubmed/32824250
http://dx.doi.org/10.3390/pathogens9080659
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author Narouei-Khandan, Hossein A.
Shakya, Shankar K.
Garrett, Karen A.
Goss, Erica M.
Dufault, Nicholas S.
Andrade-Piedra, Jorge L.
Asseng, Senthold
Wallach, Daniel
van Bruggen, Ariena H.C
author_facet Narouei-Khandan, Hossein A.
Shakya, Shankar K.
Garrett, Karen A.
Goss, Erica M.
Dufault, Nicholas S.
Andrade-Piedra, Jorge L.
Asseng, Senthold
Wallach, Daniel
van Bruggen, Ariena H.C
author_sort Narouei-Khandan, Hossein A.
collection PubMed
description 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.
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spelling pubmed-74594452020-09-02 BLIGHTSIM: A New Potato Late Blight Model Simulating the Response of Phytophthora infestans to Diurnal Temperature and Humidity Fluctuations in Relation to Climate Change Narouei-Khandan, Hossein A. Shakya, Shankar K. Garrett, Karen A. Goss, Erica M. Dufault, Nicholas S. Andrade-Piedra, Jorge L. Asseng, Senthold Wallach, Daniel van Bruggen, Ariena H.C Pathogens Article 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. MDPI 2020-08-15 /pmc/articles/PMC7459445/ /pubmed/32824250 http://dx.doi.org/10.3390/pathogens9080659 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Narouei-Khandan, Hossein A.
Shakya, Shankar K.
Garrett, Karen A.
Goss, Erica M.
Dufault, Nicholas S.
Andrade-Piedra, Jorge L.
Asseng, Senthold
Wallach, Daniel
van Bruggen, Ariena H.C
BLIGHTSIM: A New Potato Late Blight Model Simulating the Response of Phytophthora infestans to Diurnal Temperature and Humidity Fluctuations in Relation to Climate Change
title BLIGHTSIM: A New Potato Late Blight Model Simulating the Response of Phytophthora infestans to Diurnal Temperature and Humidity Fluctuations in Relation to Climate Change
title_full BLIGHTSIM: A New Potato Late Blight Model Simulating the Response of Phytophthora infestans to Diurnal Temperature and Humidity Fluctuations in Relation to Climate Change
title_fullStr BLIGHTSIM: A New Potato Late Blight Model Simulating the Response of Phytophthora infestans to Diurnal Temperature and Humidity Fluctuations in Relation to Climate Change
title_full_unstemmed BLIGHTSIM: A New Potato Late Blight Model Simulating the Response of Phytophthora infestans to Diurnal Temperature and Humidity Fluctuations in Relation to Climate Change
title_short BLIGHTSIM: A New Potato Late Blight Model Simulating the Response of Phytophthora infestans to Diurnal Temperature and Humidity Fluctuations in Relation to Climate Change
title_sort blightsim: a new potato late blight model simulating the response of phytophthora infestans to diurnal temperature and humidity fluctuations in relation to climate change
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7459445/
https://www.ncbi.nlm.nih.gov/pubmed/32824250
http://dx.doi.org/10.3390/pathogens9080659
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