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Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 478712
Title Phytophthora management in potato cultivation - an example of a complex social-ecological system
Author(s) Pacilly, F.C.A.; Groot, J.C.J.; Hofstede, Gert Jan; Lammerts Van Bueren, E.
Source In: Abstracts Book Proceedings of the Conference, 19th Triennial Conference EAPR 2014. - Brussel : EAPR - p. 44 - 44.
Event Brussel : EAPR 19th Triennial Conference EAPR 2014, Brussels, Belgium, 2014-07-06/2014-07-11
Department(s) Farming Systems Ecology
Information Technology
Laboratory of Plant Breeding
Publication type Abstract in scientific journal or proceedings
Publication year 2014
Abstract Phytophthora infestans (late blight) is one of the most important diseases in potato (Solanum tuberosum) production and is responsible for major losses in yield. Because of its short life cycle and spore dispersal by wind, a late blight epidemic can spread over large regions. Furthermore it can reproduce sexually which increases its virulence. We present a research project that will focus on the Netherlands, which has a very high potato density and combined with climatic conditions favourable for late blight, frequently experiences high pressure of the disease. A major element in prevention of plant disease is the use of resistant cultivars. Recent research insights in the spatial epidemiology of Phytophthora show that advances in reduction of the disease pressure can be achieved by spatial arrangement of resistant cultivars at field to regional scales [1]. Resistant cultivars are developed by private companies that aim for rapid widespread market penetration. Unfortunately, when resistant cultivars came to be more widely used, the selection of Phytophthora strains with compatible virulence genes increased and as a result resistance of several genes has been broken. Additional resistance management measures are needed to protect resistance genes in new varieties, which are being produced at great public and private cost. In this project the potato-Phytophthora host-pathogen system is analysed as a model system to study management and governance of crop-disease interactions. Data was collected by in-depth interviews with farmers, breeders and experts to identify current Phytophthora management strategies and the factors decision making and and Phytophthora epidemiology. It was found that the use of resistant cultivars in Phytophthora management is strongly related to the application of fungicides and the removal of infection sources. Both have a large effect on Phytophthora epidemiology and the overall infection pressure on resistant cultivars. Also the availability of fungicides strongly reduces the need to use resistant cultivars in crop protection. Furthermore, farmers, traders as well as breeders seem reluctant to embark on spatial strategies for fear of transaction costs and reduced autonomy in cultivar choice in a context where potato traders and packers are dominating cultivar requirements to a large extent. Since the use and effectiveness of resistant cultivars in Phytophthora management depends on interactions between people through social networks, as well as between plants and pathogens through disease epidemiology, it represents a social-ecological system. Such systems are driven by social and biophysical processes that interrelate and interact across multiple temporal and spatial scales and are characterized by nonlinear dynamics, self-organisation and feedback mechanisms [2]. Agent-based models have been recognized as highly suitable to represent the behaviour of individuals and groups within an environment in which biophysical processes occur and would therefore be a good tool to analyse the system dynamics.
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