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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

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          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.

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          Most cited references52

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          Non-linear regression of biological temperature-dependent rate models based on absolute reaction-rate theory.

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            Diurnal temperature range as an index of global climate change during the twentieth century

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              Climate change and diseases of food crops

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                Author and article information

                Journal
                Pathogens
                Pathogens
                pathogens
                Pathogens
                MDPI
                2076-0817
                15 August 2020
                August 2020
                : 9
                : 8
                : 659
                Affiliations
                [1 ]Department of Plant Pathology, University of Florida, 1450 Fifield Hall, P.O. Box 110680, Gainesville, FL 32611-0680, USA; sshakya@ 123456ballhort.com (S.K.S.); karengarrett@ 123456ufl.edu (K.A.G.); emgoss@ 123456ufl.edu (E.M.G.); nsdufault@ 123456ufl.edu (N.S.D.); ahcvanbruggen@ 123456ufl.edu (A.H.C.v.B.)
                [2 ]Emerging Pathogens Institute, University of Florida, Gainesville, 2055 Mowry Road, P.O. Box 100009, Gainesville, FL 32610, USA
                [3 ]Ministry for Primary Industries, P.O. Box 2526, Wellington 6146, New Zealand
                [4 ]Food Systems Institute, University of Florida, P.O. Box 110180, Gainesville, FL 32611-0180, USA
                [5 ]International Potato Center (CIP) and CGIAR Research Program on Roots Tubers and Bananas (RTB), P.O. Box 1558, Lima 12, Peru; j.andrade@ 123456cgiar.org
                [6 ]Department of Agricultural and Biological Engineering, University of Florida, 224 Frazier Rogers Hall, P.O. Box 110570, Gainesville, FL 32611-0570, USA; sasseng@ 123456ufl.edu
                [7 ]Institut National de la Recherche Agronomique (INRA), UMR AGIR, BP 52627, 31326 Castanet Tolosan Cedex, France; Daniel.wallach@ 123456inrae.fr
                Author notes
                Author information
                https://orcid.org/0000-0002-4218-5934
                https://orcid.org/0000-0002-8439-9009
                https://orcid.org/0000-0001-7617-0506
                https://orcid.org/0000-0002-7583-3811
                Article
                pathogens-09-00659
                10.3390/pathogens9080659
                7459445
                32824250
                d6a7ded8-4db2-43a1-a83b-0ad66ddee8f9
                © 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/).

                History
                : 19 June 2020
                : 12 August 2020
                Categories
                Article

                simulation model,seir model,r,relative reproductive rate,lesion growth,oscillating temperatures

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