Author

Axel Labeyrie

Centre de Coopération Internationale en Recherche Agronomique pour le Développement

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetics· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:experimental assay· 1 Research Focus:genome assembly· 1 Research Focus:GWAS / association mapping· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Anna DoizyiD· 1 shared Arnaud Boisnard· 1 shared Camille MadeciD· 1 shared Dadang Afandi· 1 shared Florence JacobiD· 1 shared Gian Attilio SacchiiD· 1 shared Hervé Rey· 1 shared Indra Syahputra· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperPlant Biology

Anna DoizyORCID

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2 papers

Recent·Most cited

Mark-Release-Recapture Experiments in a North Sumatra Oil Palm Plantation: Assessing the Impact of Super-Male Planting Material on Fruit Set and Elaeidobius kamerunicus population size

Yves Dumont, Laurence Beaudoin‐Ollivier, Hervé Rey, Axel Labeyrie, Camille Madec, Anna Doizy, Indra Syahputra, Dadang Afandi, Florence Jacob

bioRxiv · Sep 25, 2026 · PreprintPlant Biology

Genomic prediction offers the most effective marker assisted breeding approach for ability to prevent arsenic accumulation in rice grains

Julien Frouin, Axel Labeyrie, Arnaud Boisnard, Gian Attilio Sacchi, Nourollah Ahmadi

This study compares genomic selection and QTL-based breeding for reducing arsenic accumulation in rice, finding genomic prediction more effective for genetic gain.

PLoS ONE · Jun 13, 2019Peer-reviewedGenetics