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

Research output: Chapter in Book/Conference paperConference 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 publication2018 6TH INTERNATIONAL SYMPOSIUM ON PLANT GROWTH MODELING, SIMULATION, VISUALIZATION AND APPLICATIONS (PMA)
PublisherWiley-IEEE Press
Pages61-68
Number of pages8
ISBN (Print)9781538678152
DOIs
Publication statusPublished - 2018
Event6th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications (PMA) - Hefei, China
Duration: 4 Nov 20188 Nov 2018
http://pma2018.csp.escience.cn/dct/page/1

Conference

Conference6th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications (PMA)
Abbreviated titlePMA2018
CountryChina
CityHefei
Period4/11/188/11/18
Internet address

Cite this

Streit, K., Evers, J. B., & Renton, M. (2018). Modelling the combined effect of moisture and temperature on secondary infection in a coupled host-pathogen FSPM. In 2018 6TH INTERNATIONAL SYMPOSIUM ON PLANT GROWTH MODELING, SIMULATION, VISUALIZATION AND APPLICATIONS (PMA) (pp. 61-68). Wiley-IEEE Press. 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. 2018 6TH INTERNATIONAL SYMPOSIUM ON PLANT GROWTH MODELING, SIMULATION, VISUALIZATION AND APPLICATIONS (PMA). Wiley-IEEE Press, 2018. pp. 61-68
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title = "Modelling the combined effect of moisture and temperature on secondary infection in a coupled host-pathogen FSPM",
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.",
keywords = "moisture, leaf wetness duration, temperature, yellow spot, tan spot, disease modelling, functional-structural plant modelling, LEAF WETNESS, SIMULATION-MODEL, WHEAT, DISEASE, DURATION, SPOT",
author = "Katarina Streit and Evers, {Jochem B.} and Michael Renton",
year = "2018",
doi = "10.1109/PMA.2018.8611579",
language = "English",
isbn = "9781538678152",
pages = "61--68",
booktitle = "2018 6TH INTERNATIONAL SYMPOSIUM ON PLANT GROWTH MODELING, SIMULATION, VISUALIZATION AND APPLICATIONS (PMA)",
publisher = "Wiley-IEEE Press",

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Streit, K, Evers, JB & Renton, M 2018, Modelling the combined effect of moisture and temperature on secondary infection in a coupled host-pathogen FSPM. in 2018 6TH INTERNATIONAL SYMPOSIUM ON PLANT GROWTH MODELING, SIMULATION, VISUALIZATION AND APPLICATIONS (PMA). Wiley-IEEE Press, pp. 61-68, 6th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications (PMA), 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.

2018 6TH INTERNATIONAL SYMPOSIUM ON PLANT GROWTH MODELING, SIMULATION, VISUALIZATION AND APPLICATIONS (PMA). Wiley-IEEE Press, 2018. p. 61-68.

Research output: Chapter in Book/Conference paperConference paper

TY - GEN

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

AU - Streit, Katarina

AU - Evers, Jochem B.

AU - Renton, Michael

PY - 2018

Y1 - 2018

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.

KW - moisture

KW - leaf wetness duration

KW - temperature

KW - yellow spot

KW - tan spot

KW - disease modelling

KW - functional-structural plant modelling

KW - LEAF WETNESS

KW - SIMULATION-MODEL

KW - WHEAT

KW - DISEASE

KW - DURATION

KW - SPOT

UR - http://pma2018.csp.escience.cn/dct/page/65580

U2 - 10.1109/PMA.2018.8611579

DO - 10.1109/PMA.2018.8611579

M3 - Conference paper

SN - 9781538678152

SP - 61

EP - 68

BT - 2018 6TH INTERNATIONAL SYMPOSIUM ON PLANT GROWTH MODELING, SIMULATION, VISUALIZATION AND APPLICATIONS (PMA)

PB - Wiley-IEEE Press

ER -

Streit K, Evers JB, Renton M. Modelling the combined effect of moisture and temperature on secondary infection in a coupled host-pathogen FSPM. In 2018 6TH INTERNATIONAL SYMPOSIUM ON PLANT GROWTH MODELING, SIMULATION, VISUALIZATION AND APPLICATIONS (PMA). Wiley-IEEE Press. 2018. p. 61-68 https://doi.org/10.1109/PMA.2018.8611579