Author

Jean Rigaud Charles

Quisqueya UniversityORCID 0000-0001-9271-9909Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:genome assembly· 2 Organism:plant (other)· 2 Approach:statistical model· 2 Research Focus:variant calling· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:fine-mapping· 1

Frequent Co-Authors

Gaël PressoiriD· 3 shared Brian R. RiceiD· 2 shared Geoffrey P. MorrisiD· 2 shared Abhishek RathoreiD· 1 shared Allan K. FritziD· 1 shared Daniel C. IlutiD· 1 shared Ebenezer OgoeiD· 1 shared Eduardo Melgar· 1 shared

Activity by Year

2020-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 26 mutual co-author links

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3 shared papersGenomics

Gaël PressoirORCID

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3 papers

Recent·Most cited

Flywheel Genomics: Simultaneous trait discovery and genetic gain in plant breeding

Brian R. Rice, Ebenezer Ogoe, Jean Rigaud Charles, Eduardo Melgar, Sandeep Marla, Terry J. Felderhoff, Allan K. Fritz, Geoff Morris, Gaël Pressoir

This paper introduces Flywheel Genomics, a framework that integrates trait discovery with rapid cycling breeding to improve plant breeding efficiency and genetic gain.

bioRxiv · Aug 9, 2026 · PreprintGenetics

Phenotyping replication is a major determinant of genomic predictive ability in sweet sorghum (Sorghum bicolor Moench)

Jean Rigaud Charles, Brian R. Rice, Geoffrey P. Morris, Thierry Klanvi Tovignan, Gaël Pressoir

The paper evaluates how phenotyping replication, training population size, and genomic relatedness affect genomic predictive ability in sweet sorghum breeding programs.

bioRxiv · Jul 22, 2026 · PreprintGenomics

A sorghum Practical Haplotype Graph facilitates genome-wide imputation and cost-effective genomic prediction

Sarah E. Jensen, Jean Rigaud Charles, Kebede T. Muleta, Peter J. Bradbury, Terry M. Casstevens, Santosh Deshpande, Michael A. Gore, Rajeev Gupta, Daniel C. Ilut, Lynn Johnson, Roberto Daniel Lozano, Zachary R. Miller, Punna Ramu, Abhishek Rathore, M. Cinta Romay, , Guillaume P. Ramstein

This paper introduces a sorghum Practical Haplotype Graph (PHG) that enables accurate SNP calling and imputation from low-coverage sequencing data, improving genomic prediction accuracy and reducing genotyping costs.

The Plant Genome · Mar 1, 2020Peer-reviewedGenomics