A stochastic, spatially-explicit, demo-genetic model simulating the spread and evolution of a plant pathogen in a heterogeneous landscape to assess resistance deployment strategies. It is based on a spatial geometry for describing the landscape and allocation of different cultivars, a dispersal kernel for the dissemination of the pathogen, and a SEIR ('Susceptible-Exposed-Infectious-Removed’) structure with a discrete time step. It provides a useful tool to assess the performance of a wide range of deployment options with respect to their epidemiological, evolutionary and economic outcomes. Loup Rimbaud, Julien Papaïx, Jean-François Rey, Luke G Barrett, Peter H Thrall (2018) <doi:10.1371/journal.pcbi.1006067>.
Package details |
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Author | Loup Rimbaud [aut] (<https://orcid.org/0000-0002-8098-9984>), Marta Zaffaroni [aut] (<https://orcid.org/0000-0002-2951-8626>), Jean-François Rey [aut, cre] (<https://orcid.org/0000-0003-3281-6701>), Julien Papaix [aut], Jean-Loup Gaussen [ctb], Manon Couty [ctb] |
Maintainer | Jean-François Rey <jean-francois.rey@inrae.fr> |
License | GPL (>= 2) | file LICENSE |
Version | 1.5.1 |
URL | https://csiro-inra.pages.biosp.inrae.fr/landsepi/ https://gitlab.paca.inrae.fr/CSIRO-INRA/landsepi |
Package repository | View on CRAN |
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