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Predicting the invasiveness of a species with genomic data: is Genomic Offset related to establishment probability?

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  • Louise Camus

    (UMR CBGP - Centre de Biologie pour la Gestion des Populations - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - IRD [France-Sud] - Institut de Recherche pour le Développement - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro Montpellier - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement - UM - Université de Montpellier)

  • Simon Boitard

    (UMR CBGP - Centre de Biologie pour la Gestion des Populations - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - IRD [France-Sud] - Institut de Recherche pour le Développement - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro Montpellier - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement - UM - Université de Montpellier)

  • Mathieu Gautier

    (UMR CBGP - Centre de Biologie pour la Gestion des Populations - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - IRD [France-Sud] - Institut de Recherche pour le Développement - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro Montpellier - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement - UM - Université de Montpellier)

Abstract

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Suggested Citation

  • Louise Camus & Simon Boitard & Mathieu Gautier, 2023. "Predicting the invasiveness of a species with genomic data: is Genomic Offset related to establishment probability?," Post-Print hal-04659115, HAL.
  • Handle: RePEc:hal:journl:hal-04659115
    Note: View the original document on HAL open archive server: https://hal.inrae.fr/hal-04659115
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