Author

Yves Bertrand

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· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Organism:virus· 2 Research Focus:benchmarking· 1 Research Focus:GWAS / association mapping· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Agnès DoligeziD· 2 shared Gilles Berger· 2 shared Loïc Le CunffiD· 2 shared Patrice ThisiD· 2 shared Ágota Fodor· 1 shared Amandine LaunayiD· 1 shared Arnaud VerbaereiD· 1 shared Charles G. RomieuiD· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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2 shared papersGenetics

Agnès DoligezORCID

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2 papers

Recent·Most cited

Interest of phenomic prediction as an alternative to genomic prediction in grapevine

Charlotte Brault, Juliette Lazerges, Agnès Doligez, M. Thomas, Martin Ecarnot, Pierre Roumet, Yves Bertrand, Gilles Berger, Thierry Pons, Pierre François, Loïc Le Cunff, Patrice This, Vincent Segura

This study applies phenomic prediction to grapevine using spectra to predict 15 traits, finding comparable predictive ability to genomic prediction across traits and populations.

Plant Methods · Sep 5, 2022Peer-reviewedGenetics

Genome-wide association and prediction study in grapevine deciphers the genetic architecture of multiple traits and identifies genes under many new QTLs

Timothée Flutre, Loïc Le Cunff, Ágota Fodor, Amandine Launay, Charles G. Romieu, Gilles Berger, Yves Bertrand, Nancy Terrier, Isabelle Beccavin, Virginie Bouckenooghe, Maryline Roques, Lucie Pinasseau, Arnaud Verbaere, Nicolas Sommerer, Véronique Cheynier, , Agnès Doligez

This study identifies new QTLs and improves prediction accuracy for multiple grapevine traits using a diverse panel and multi-SNP models.

G3 Genes Genomes Genetics · Apr 29, 2022Peer-reviewedGenetics