Author

C. Welcker

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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Plant Biology· 3 Physiology· 1

Signature Assays, Organisms & Methods

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Organism:plant (other)· 4 Approach:statistical model· 3 Research Focus:development & morphogenesis· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

C. Palaffre· 2 shared A. Champion· 1 shared A. Charcosset· 1 shared A. De Walsche· 1 shared A. G. Diedhiou· 1 shared A. Grondin· 1 shared A. Vergne· 1 shared B. Effa Effa· 1 shared

Activity by Year

2021-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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2 shared papersPlant Biology

C. Palaffre

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Author profile →

4 papers

Recent·Most cited

A reaction norm for flowering time plasticity reveals physiological footprints of maize adaptation

J. Drouault, C. Palaffre, E. J. Millet, J. Rodriguez, P. Martre, K. Johnson, B. Parent, C. Welcker, R. J. Wisser

This paper models flowering time plasticity in maize using a physiological reaction norm, revealing genotype-specific differences in environmental perception and adaptation strategies.

bioRxiv · Jul 10, 2024Plant Biology

metaGE: Investigating Genotype-by-Environment interactions through meta-analysis

A. De Walsche, A. Vergne, R. Rincent, F. Roux, S. D. Nicolas, C. Welcker, S. Mezmouk, A. Charcosset, T. Mary-Huard

metaGE performs a meta-analysis of genome-wide association studies from multi-environment trials to identify genotype-by-environment interactions in plants.

bioRxiv · Mar 1, 2023 · PreprintPlant Biology

EARBOX: An open tool for high-throughput measurements of the spatial organization of maize ears and inference of novel traits

V. Oury, T. Leroux, O. Turc, R. Chapuis, C. Palaffre, F. Tardieu, S. Alvarez Prado, C. Welcker, S. Lacube

EARBOX automates maize ear phenotyping, capturing spatial traits and novel features like grain distribution and abortion frequency using deep learning and imaging.

bioRxiv · Dec 20, 2021Plant Biology

High-throughput phenotyping reveals a link between transpiration efficiency and transpiration restriction under high evaporative demand and new loci controlling water use-related traits in African rice, Oryza glaberrima Steud.

P. Affortit, B. Effa Effa, M. S. Ndoye, D. Moukouanga, N. Luchaire, L. Cabrera-Bosquet, M. C. Peralvarez, R. Pilloni, C. Welcker, A. Champion, P. Gantet, A. G. Diedhiou, B. Manneh, R. Aroca, V. Vadez, , A. Grondin

The paper identifies genetic links between transpiration efficiency and restriction in African rice, finding heritable traits that could improve water use strategies in breeding.

bioRxiv · Nov 28, 2021 · PreprintPhysiology