Author

Emilie J. Millet

Institut Agro Montpellier

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 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Assay:imaging· 1 Organism:plant (other)· 1

Frequent Co-Authors

Alain CharcossetiD· 1 shared Andreas HundiD· 1 shared Claude WelckeriD· 1 shared Cyril BaulandiD· 1 shared Delphine MaduriD· 1 shared Diana M. Pérez-ValenciaiD· 1 shared François TardieuiD· 1 shared Fred A. van EeuwijkiD· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperGenomics

Alain CharcossetORCID

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2 papers

Recent·Most cited

A two-stage approach for the spatio-temporal analysis of high-throughput phenotyping data

Diana M. Pérez-Valencia, María Xosé Rodríguez‐Álvarez, Martin P. Boer, Lukas Kronenberg, Andreas Hund, Llorenç Cabrera‐Bosquet, Emilie J. Millet, Fred A. van Eeuwijk

The paper introduces a two-stage statistical approach to analyze spatio-temporal high-throughput phenotyping data, enabling the estimation of longitudinal genetic signals in plant growth.

Scientific Reports · Feb 24, 2022Peer-reviewedGenetics

Genotyping-by-sequencing and microarrays are complementary for detecting quantitative trait loci by tagging different haplotypes in association studies

Sandra Silvia Negro, Emilie J. Millet, Delphine Madur, Cyril Bauland, Valérie Combes, Claude Welcker, François Tardieu, Alain Charcosset, Stéphane Nicolas

The paper compares genotyping-by-sequencing and microarrays for detecting QTLs, showing they complement each other by tagging different haplotypes and improving detection power and localization.

BMC Plant Biology · Jul 16, 2019Peer-reviewedGenomics