Author

Thierry Pons

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

Click to filter author papers

Genetics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 2 Approach:statistical model· 2 Organism:virus· 2 Research Focus:genome assembly· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Agnès DoligeziD· 2 shared Charlotte BraultiD· 2 shared Loïc Le CunffiD· 2 shared Patrice ThisiD· 2 shared Pierre François· 2 shared Vincent SeguraiD· 2 shared Gilles Berger· 1 shared Jean‐Pierre PérosiD· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 42 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersGenetics

Agnès DoligezORCID

Mutual co-authors in cluster

Author profile →

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

Across-population genomic prediction in grapevine opens up promising prospects for breeding

Charlotte Brault, Vincent Segura, Patrice This, Loïc Le Cunff, Timothée Flutre, Pierre François, Thierry Pons, Jean‐Pierre Péros, Agnès Doligez

This study evaluates across-population genomic prediction in grapevine for 15 traits, finding predictive abilities of 0.6 for cross means and 0.26 for individual values, suggesting potential for genomic selection in breeding.

Horticulture Research · Jan 1, 2022Peer-reviewedGenetics