Python code for the article "The proportion of resistant hosts in mixtures should be biased towards the resistance with the lowest breaking cost" by Clin et al. 2023 submitted to PLOS Comp Biol

DOI

These files are code for a Python Streamlit application to reproduce the simulations (disease prevalence as a function of cultivar mixture composition) presented in the referenced article. Parameters can also be varied by the user. Different contexts are presented (no plant priming, plant priming).

Identifier
DOI https://doi.org/10.57745/DIILXR
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.57745/DIILXR
Provenance
Creator Mailleret, Ludovic; Clin, Pauline
Publisher Recherche Data Gouv
Contributor Mailleret, Ludovic; Clin, Pauline; INRAE; Entrepôt-Catalogue Recherche Data Gouv
Publication Year 2023
Funding Reference INRAE Plant health and the environment ; Brittany region
Rights etalab 2.0; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/etalab-2.0.html
OpenAccess true
Contact Mailleret, Ludovic (INRAE); Clin, Pauline (INRAE)
Representation
Resource Type Interactive Resource; Dataset
Format application/gzip
Size 17074
Version 1.0
Discipline Agriculture, Forestry, Horticulture; Mathematics