Author

Maxime Ryckewaert

Centre National de la Recherche ScientifiqueORCID 0000-0002-9494-797XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Plant Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1 Assay:imaging· 1 Organism:plant (other)· 1

Frequent Co-Authors

Agnès DoligeziD· 1 shared Aude Coupel‐LedruiD· 1 shared Benoît PallasiD· 1 shared Eva CoindreiD· 1 shared Laurine ChiriD· 1 shared Llorenç Cabrera‐BosquetiD· 1 shared Maëlle Lis· 1 shared Romain BoulordiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperPlant Biology

Agnès DoligezORCID

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1 paper

Recent·Most cited

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

Eva Coindre, Romain Boulord, Laurine Chir, Virgilio Freitas, Maxime Ryckewaert, Thomas Laisné, Virginie Bouckenooghe, Maëlle Lis, Llorenç Cabrera‐Bosquet, Agnès Doligez, Thierry Simonneau, Benoît Pallas, Aude Coupel‐Ledru, 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.

The Plant Phenome Journal · Jan 7, 2026Peer-reviewedPlant Biology