Author

Eva Coindre

Centre de Coopération Internationale en Recherche Agronomique pour le DéveloppementORCID 0000-0001-5544-3691Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Plant Biology· 2 Genetics· 1

Signature Assays, Organisms & Methods

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Research Focus:GWAS / association mapping· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1 Assay:imaging· 1 Organism:plant (other)· 1 Organism:virus· 1

Frequent Co-Authors

Agnès DoligeziD· 2 shared Aude Coupel‐LedruiD· 2 shared Benoît PallasiD· 2 shared Romain BoulordiD· 2 shared Thierry SimonneauiD· 2 shared Vincent SeguraiD· 2 shared Aurélie BerardiD· 1 shared Aurélie CanaguieriD· 1 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersPlant Biology

Agnès DoligezORCID

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3 papers

Recent·Most cited

Plant BiologybioRxivPreprintOct 5, 2026

Genetic control of leaf carbon- and water-related traits in grapevine under greenhouse and field conditions

Eva Coindre, Sarah Desirée Etou, Romain Boulord…·Aude Coupel‐Ledru

The paper identifies genetic regions associated with leaf ecophysiological traits in grapevine under greenhouse and field conditions, showing that multi-environment analysis improves the detection of stable QTLs.

DOI 10.64898/2026.10.02.754987

virusbulk RNA-seq

𝕏 PostBluesky

GeneticsbioRxivPreprintSep 10, 2026

Linkage and association mapping coupled with pan-genome analyses of Vat homologs reveal QTLs and alleles for aphid resistance in melon

Javier Belinchon-Moreno, Eva Coindre, Séverine Monnot…·Nathalie Boissot

The paper identifies QTLs and Vat homolog alleles associated with resistance to the A. gossypii CUC1 clone in melon using GWAS and pan-genome analyses.

DOI 10.64898/2026.04.17.719245

statistical modelGWAS / association mapping

𝕏 PostBluesky

Plant BiologyThe Plant Phenome JournalPeer-reviewedJan 7, 2026

Robustness of high-throughput prediction of leaf ecophysiological traits using near infra-red spectroscopy and poro-fluorometry

Eva Coindre, Romain Boulord, Laurine Chir…·Vincent Segura

This paper evaluates high-throughput tools for predicting leaf traits in grapevines under different water conditions, finding spectroscopy and poro-fluorometry effective for trait prediction and heritability estimation.

DOI 10.1002/ppj2.70059

plant (other)imaging

𝕏 PostBluesky