Modelling the combined effect of moisture and temperature on secondary infection in a coupled host-pathogen FSPM

Katarina Streit, Jochem B. Evers, Michael Renton

Research output: Chapter in Book/Report/Conference proceedingConference paper

Abstract

Weather conditions are an important driver of disease development. For example for yellow spot in wheat, warm and moist conditions favour secondary infection. Although the relationship between environment and disease development is the basis of many epidemiological models, changes in plant architecture and growth have an effect on disease progress and severity as well. Functional-structural plant models (FSPMs) are well suited to study the interactions between pathogen, climatic conditions and growing host crop. In this study we focused on simulating the effect of weather conditions on the progression of secondary infection in yellow spot and the interaction with growing wheat canopy. Simulations were performed using a coupled host-pathogen FSPM with standard meteorological data input. The model develops on previous coupled host-pathogen FSPMs by combining response functions to temperature and wetness duration and calculating the hourly progression of secondary infection. The simulated diseased area differed with different combinations of temperature and moisture response models. Changes in dispersal pattern were observed mainly in relation to spore release rate.

Original languageEnglish
Title of host publicationProceedings - 2018 6th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications, PMA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages61-68
Number of pages8
ISBN (Electronic)9781538678152
DOIs
Publication statusPublished - 14 Jan 2019
Event6th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications, PMA 2018 - Hefei, China
Duration: 4 Nov 20188 Nov 2018

Conference

Conference6th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications, PMA 2018
CountryChina
CityHefei
Period4/11/188/11/18

Fingerprint

Moisture
Pathogens
Infection
pathogens
Modeling
Wheat
temperature
Progression
Weather
Temperature
weather
Epidemiological Model
Model
Response Function
wheat
Interaction
plant architecture
Driver
meteorological data
Crops

Keywords

  • disease modelling
  • functional-structural plant modelling
  • leaf wetness duration
  • moisture
  • tan spot
  • temperature
  • yellow spot

Cite this

Streit, K., Evers, J. B., & Renton, M. (2019). Modelling the combined effect of moisture and temperature on secondary infection in a coupled host-pathogen FSPM. In Proceedings - 2018 6th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications, PMA 2018 (pp. 61-68). [8611579] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PMA.2018.8611579
Streit, Katarina ; Evers, Jochem B. ; Renton, Michael. / Modelling the combined effect of moisture and temperature on secondary infection in a coupled host-pathogen FSPM. Proceedings - 2018 6th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications, PMA 2018. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 61-68
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abstract = "Weather conditions are an important driver of disease development. For example for yellow spot in wheat, warm and moist conditions favour secondary infection. Although the relationship between environment and disease development is the basis of many epidemiological models, changes in plant architecture and growth have an effect on disease progress and severity as well. Functional-structural plant models (FSPMs) are well suited to study the interactions between pathogen, climatic conditions and growing host crop. In this study we focused on simulating the effect of weather conditions on the progression of secondary infection in yellow spot and the interaction with growing wheat canopy. Simulations were performed using a coupled host-pathogen FSPM with standard meteorological data input. The model develops on previous coupled host-pathogen FSPMs by combining response functions to temperature and wetness duration and calculating the hourly progression of secondary infection. The simulated diseased area differed with different combinations of temperature and moisture response models. Changes in dispersal pattern were observed mainly in relation to spore release rate.",
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Streit, K, Evers, JB & Renton, M 2019, Modelling the combined effect of moisture and temperature on secondary infection in a coupled host-pathogen FSPM. in Proceedings - 2018 6th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications, PMA 2018., 8611579, Institute of Electrical and Electronics Engineers Inc., pp. 61-68, 6th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications, PMA 2018, Hefei, China, 4/11/18. https://doi.org/10.1109/PMA.2018.8611579

Modelling the combined effect of moisture and temperature on secondary infection in a coupled host-pathogen FSPM. / Streit, Katarina; Evers, Jochem B.; Renton, Michael.

Proceedings - 2018 6th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications, PMA 2018. Institute of Electrical and Electronics Engineers Inc., 2019. p. 61-68 8611579.

Research output: Chapter in Book/Report/Conference proceedingConference paper

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T1 - Modelling the combined effect of moisture and temperature on secondary infection in a coupled host-pathogen FSPM

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AU - Evers, Jochem B.

AU - Renton, Michael

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N2 - Weather conditions are an important driver of disease development. For example for yellow spot in wheat, warm and moist conditions favour secondary infection. Although the relationship between environment and disease development is the basis of many epidemiological models, changes in plant architecture and growth have an effect on disease progress and severity as well. Functional-structural plant models (FSPMs) are well suited to study the interactions between pathogen, climatic conditions and growing host crop. In this study we focused on simulating the effect of weather conditions on the progression of secondary infection in yellow spot and the interaction with growing wheat canopy. Simulations were performed using a coupled host-pathogen FSPM with standard meteorological data input. The model develops on previous coupled host-pathogen FSPMs by combining response functions to temperature and wetness duration and calculating the hourly progression of secondary infection. The simulated diseased area differed with different combinations of temperature and moisture response models. Changes in dispersal pattern were observed mainly in relation to spore release rate.

AB - Weather conditions are an important driver of disease development. For example for yellow spot in wheat, warm and moist conditions favour secondary infection. Although the relationship between environment and disease development is the basis of many epidemiological models, changes in plant architecture and growth have an effect on disease progress and severity as well. Functional-structural plant models (FSPMs) are well suited to study the interactions between pathogen, climatic conditions and growing host crop. In this study we focused on simulating the effect of weather conditions on the progression of secondary infection in yellow spot and the interaction with growing wheat canopy. Simulations were performed using a coupled host-pathogen FSPM with standard meteorological data input. The model develops on previous coupled host-pathogen FSPMs by combining response functions to temperature and wetness duration and calculating the hourly progression of secondary infection. The simulated diseased area differed with different combinations of temperature and moisture response models. Changes in dispersal pattern were observed mainly in relation to spore release rate.

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KW - functional-structural plant modelling

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Streit K, Evers JB, Renton M. Modelling the combined effect of moisture and temperature on secondary infection in a coupled host-pathogen FSPM. In Proceedings - 2018 6th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications, PMA 2018. Institute of Electrical and Electronics Engineers Inc. 2019. p. 61-68. 8611579 https://doi.org/10.1109/PMA.2018.8611579