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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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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. |
format | Online Article Text |
id | pubmed-7459445 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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