Revisiting the historical scenario of a disease dissemination using genetic data and Approximate Bayesian Computation methodology: The case of <i>Pseudocercospora fijiensis</i> invasion in Africa.

Gilabert, A; Rieux, A; Robert, S; Vitalis, R; Zapater, M-F; Abadie, C; Carlier, J; Ravigné, V

Revisiting the historical scenario of a disease dissemination using genetic data and Approximate Bayesian Computation methodology: The case of Pseudocercospora fijiensis invasion in Africa.

Gilabert, A; Rieux, A; Robert, S; Vitalis, R; Zapater, M-F; Abadie, C; Carlier, J; Ravigné, V.

Afiliación

Gilabert A; Université de la Réunion, UMR PVBMT Saint-Pierre France.
Rieux A; CIRAD, UMR PHIM Montpellier France.
Robert S; PHIM Plant Health Institute Univ Montpellier, CIRAD, INRAE, Institut Agro, IRD Montpellier France.
Vitalis R; Present address: CIRAD, UMR AGAP Institut Montpellier France.
Zapater MF; Present address: UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro Montpellier France.
Abadie C; CIRAD, UMR PVBMT Saint-Pierre France.
Carlier J; CIRAD, UMR PHIM Montpellier France.
Ravigné V; PHIM Plant Health Institute Univ Montpellier, CIRAD, INRAE, Institut Agro, IRD Montpellier France.

Ecol Evol ; 13(4): e10013, 2023 Apr.

Article en En | MEDLINE | ID: mdl-37091563

Palabras clave

Approximate Bayesian Computation; emerging disease; population genetics; random forest

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Ecol Evol Año: 2023 Tipo del documento: Article

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