Author

F. Tardieu

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· 2 Physiology· 1

Signature Assays, Organisms & Methods

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Organism:plant (other)· 3 Approach:experimental assay· 2 Assay:imaging· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Research Focus:ecology & biodiversity· 1

Frequent Co-Authors

A. A. Kumar· 1 shared A. Hajjarpoor· 1 shared A. Kakkera· 1 shared C. Fournier· 1 shared C. Palaffre· 1 shared C. Pradal· 1 shared C. Welcker· 1 shared J. Chopard· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 13 mutual co-author links

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1 shared paperPhysiology

A. A. Kumar

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Author profile →

3 papers

Recent·Most cited

Transpiration and water use efficiency of sorghum canopies have a large genetic variability and are positively related under naturally high evaporative demand.

R. Pilloni, A. Kakkera, Z. El Ghazzal, S. Kar, A. A. Kumar, A. Hajjarpoor, P. Affortit, W. Ribiere, J. Kholova, F. Tardieu, V. Vadez

The paper examines genetic variability in sorghum transpiration and water use efficiency under varying evaporative demand, finding a positive correlation between transpiration and WUE in high evaporative demand conditions.

bioRxiv · Sep 21, 2022 · PreprintPhysiology

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

Phenomenal: An automatic open source library for 3D shoot architecture reconstruction and analysis for image-based plant phenotyping

S. Artzet, T.-W. Chen, J. Chopard, N. Brichet, M. Mielewczik, S. Cohen-Boulakia, L. Cabrera-Bosquet, F. Tardieu, C. Fournier, C. Pradal

Phenomenal provides an open-source library for automated 3D shoot architecture reconstruction and analysis from plant images across species and datasets.

bioRxiv · Oct 21, 2019 · PreprintPlant Biology