An agent-based model on disease management in potato cultivation in the Netherlands

Research output: Contribution to conferencePaperAcademic

Abstract

In this project the host-pathogen system of potato (Solanum tuberosum) - late blight (Phytophthora infestans) was analysed as a model system to study management of crop-disease interactions. Resistant cultivars play an important role in sustainable management of the disease. We used an agent-based modelling approach to explore the use of resistant cultivars in late blight control. Important processes in the system are farmers’ decision-making and biophysical processes such as potato growth and Phytophthora growth and dispersal within a certain landscape configuration. To get input for model development in-depth interviews with farmers were carried out to identify the factors involved in decision-making. In the cultivar selection process we focus on a trade-of between the yield and the risk of infection. The first results showed that the model is able to represent ecological and social processes related to potato late blight and farmers’ decision-making and their interactions.
LanguageEnglish
Number of pages4
Publication statusPublished - 2015
EventESSA Conference - Social Simulation 2015 - Groningen, Netherlands
Duration: 14 Sep 2015 → …

Conference

ConferenceESSA Conference - Social Simulation 2015
CountryNetherlands
CityGroningen
Period14/09/15 → …

Fingerprint

Phytophthora infestans
Netherlands
disease control
potatoes
decision making
farmers
cultivars
Phytophthora
crop management
Solanum tuberosum
interviews
pathogens
infection

Cite this

Pacilly, F. C. A., Hofstede, G. J., Groot, J. C. J., & Lammerts Van Bueren, E. (2015). An agent-based model on disease management in potato cultivation in the Netherlands. Paper presented at ESSA Conference - Social Simulation 2015, Groningen, Netherlands.
Pacilly, F.C.A. ; Hofstede, G.J. ; Groot, J.C.J. ; Lammerts Van Bueren, E. / An agent-based model on disease management in potato cultivation in the Netherlands. Paper presented at ESSA Conference - Social Simulation 2015, Groningen, Netherlands.4 p.
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abstract = "In this project the host-pathogen system of potato (Solanum tuberosum) - late blight (Phytophthora infestans) was analysed as a model system to study management of crop-disease interactions. Resistant cultivars play an important role in sustainable management of the disease. We used an agent-based modelling approach to explore the use of resistant cultivars in late blight control. Important processes in the system are farmers’ decision-making and biophysical processes such as potato growth and Phytophthora growth and dispersal within a certain landscape configuration. To get input for model development in-depth interviews with farmers were carried out to identify the factors involved in decision-making. In the cultivar selection process we focus on a trade-of between the yield and the risk of infection. The first results showed that the model is able to represent ecological and social processes related to potato late blight and farmers’ decision-making and their interactions.",
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Pacilly, FCA, Hofstede, GJ, Groot, JCJ & Lammerts Van Bueren, E 2015, 'An agent-based model on disease management in potato cultivation in the Netherlands' Paper presented at ESSA Conference - Social Simulation 2015, Groningen, Netherlands, 14/09/15, .

An agent-based model on disease management in potato cultivation in the Netherlands. / Pacilly, F.C.A.; Hofstede, G.J.; Groot, J.C.J.; Lammerts Van Bueren, E.

2015. Paper presented at ESSA Conference - Social Simulation 2015, Groningen, Netherlands.

Research output: Contribution to conferencePaperAcademic

TY - CONF

T1 - An agent-based model on disease management in potato cultivation in the Netherlands

AU - Pacilly, F.C.A.

AU - Hofstede, G.J.

AU - Groot, J.C.J.

AU - Lammerts Van Bueren, E.

PY - 2015

Y1 - 2015

N2 - In this project the host-pathogen system of potato (Solanum tuberosum) - late blight (Phytophthora infestans) was analysed as a model system to study management of crop-disease interactions. Resistant cultivars play an important role in sustainable management of the disease. We used an agent-based modelling approach to explore the use of resistant cultivars in late blight control. Important processes in the system are farmers’ decision-making and biophysical processes such as potato growth and Phytophthora growth and dispersal within a certain landscape configuration. To get input for model development in-depth interviews with farmers were carried out to identify the factors involved in decision-making. In the cultivar selection process we focus on a trade-of between the yield and the risk of infection. The first results showed that the model is able to represent ecological and social processes related to potato late blight and farmers’ decision-making and their interactions.

AB - In this project the host-pathogen system of potato (Solanum tuberosum) - late blight (Phytophthora infestans) was analysed as a model system to study management of crop-disease interactions. Resistant cultivars play an important role in sustainable management of the disease. We used an agent-based modelling approach to explore the use of resistant cultivars in late blight control. Important processes in the system are farmers’ decision-making and biophysical processes such as potato growth and Phytophthora growth and dispersal within a certain landscape configuration. To get input for model development in-depth interviews with farmers were carried out to identify the factors involved in decision-making. In the cultivar selection process we focus on a trade-of between the yield and the risk of infection. The first results showed that the model is able to represent ecological and social processes related to potato late blight and farmers’ decision-making and their interactions.

M3 - Paper

ER -

Pacilly FCA, Hofstede GJ, Groot JCJ, Lammerts Van Bueren E. An agent-based model on disease management in potato cultivation in the Netherlands. 2015. Paper presented at ESSA Conference - Social Simulation 2015, Groningen, Netherlands.