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Spatially mixed crops to control the stratified dispersal of airborne fungal diseases

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  • Sapoukhina, Natalia
  • Tyutyunov, Yuri
  • Sache, Ivan
  • Arditi, Roger

Abstract

Intraspecific crop diversification is thought to be a possible solution to the disease susceptibility of monocultured crops. We modelled the stratified dispersal of an airborne pathogen population in order to identify the spatial patterns of cultivar mixtures that could slow epidemic spread driven by dual dispersal mechanisms acting over both short and long distances. We developed a model to simulate the propagation of a fungal disease in a 2D field, including a reaction-diffusion model for short-distance disease dispersal, and a stochastic model for long-distance dispersal. The model was fitted to data for the spatio-temporal spread of faba bean rust (caused by Uromyces viciae-fabae) through a discontinuous field. The model was used to compare the effectiveness of eight different planting patterns of cultivar mixtures against a disease spread by short-distance and stratified dispersal. Our combined modelling approach provides a reasonably good fit with the observed data for the spread of faba bean rust. Similar predictive power could be expected for the management of resource-mediated invasions by other airborne fungi. If a disease spreads by short-distance dispersal, random mixtures can be used to slow the epidemic spread, since their spatial irregularity creates a natural barrier to the progression of a smooth epidemic wave. In the context of stratified dispersal, heterogeneous patterns should be used that include a minimum distance between susceptible units, which decreases the probability of infection by long-distance spore dispersal. We provide a simple framework for modelling the stratified dispersal of disease in a diversified crop. The model suggests that the spatial arrangement of components in cultivar mixtures has to accord with the dispersal characteristics of the pathogen in order to increase the efficiency of diversification strategies in agro-ecosystems and forestry. It can be applied in low input agriculture to manage pathogen invasion by intercropping and cultivar mixtures, and to design sustainable systems of land use.

Suggested Citation

  • Sapoukhina, Natalia & Tyutyunov, Yuri & Sache, Ivan & Arditi, Roger, 2010. "Spatially mixed crops to control the stratified dispersal of airborne fungal diseases," Ecological Modelling, Elsevier, vol. 221(23), pages 2793-2800.
    • Handle: RePEc:eee:ecomod:v:221:y:2010:i:23:p:2793-2800
    DOI: 10.1016/j.ecolmodel.2010.08.020
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    References listed on IDEAS

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    1. Youyong Zhu & Hairu Chen & Jinghua Fan & Yunyue Wang & Yan Li & Jianbing Chen & JinXiang Fan & Shisheng Yang & Lingping Hu & Hei Leung & Tom W. Mew & Paul S. Teng & Zonghua Wang & Christopher C. Mundt, 2000. "Genetic diversity and disease control in rice," Nature, Nature, vol. 406(6797), pages 718-722, August.
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    Cited by:

    1. Mammeri, Y. & Burie, J.B. & Langlais, M. & Calonnec, A., 2014. "How changes in the dynamic of crop susceptibility and cultural practices can be used to better control the spread of a fungal pathogen at the plot scale?," Ecological Modelling, Elsevier, vol. 290(C), pages 178-191.
    2. David C Cook & Shuang Liu & Jacqueline Edwards & Oscar N Villalta & Jean-Philippe Aurambout & Darren J Kriticos & Andre Drenth & Paul J De Barro, 2012. "Predicting the Benefits of Banana Bunchy Top Virus Exclusion from Commercial Plantations in Australia," PLOS ONE, Public Library of Science, vol. 7(8), pages 1-9, August.

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