Author

P. Casadebaig

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 Ecology· 1

Signature Assays, Organisms & Methods

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Organism:plant (other)· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:development & morphogenesis· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1 Assay:metagenomics· 1

Frequent Co-Authors

P. Debaeke· 2 shared A. Couëdel· 1 shared A. Gauffreteau· 1 shared A. Landre· 1 shared B. Kammoun· 1 shared C. Bonnet· 1 shared C. Naudin· 1 shared C. Violle· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersPlant Biology

P. Debaeke

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Author profile →

3 papers

Recent·Most cited

Interspecific interactions regulate plant reproductive allometry in cereal-legume intercropping systems

N. Gaudio, C. Violle, X. Gendre, F. Fort, R. Mahmoud, E. Pelzer, S. Mediene, H. Hauggaard-Nielsen, L. Bedoussac, C. Bonnet, G. Corre-Hellou, A. Couëdel, P. Hinsinger, E. Steen Jensen, E.-P. Journet, , P. Casadebaig

The paper examines how interspecific interactions affect plant reproductive allometry in cereal-legume intercropping systems, finding context-dependent effects on reproductive output.

bioRxiv · Jun 17, 2021Ecology

Optimized cultivar deployment improves the efficiency and stability of sunflower crop production at national scale

P. Casadebaig, A. Gauffreteau, A. Landre, N. Langlade, E. Mestries, J. Sarron, R. Trepos, P. Vincourt, P. Debaeke

This study uses crop simulation to optimize cultivar deployment, showing that adapting cultivars to frequent environment types improves yield stability and efficiency in sunflower production.

bioRxiv · Sep 21, 2020Plant Biology

A new approach to crop model calibration: phenotyping plus post-processing.

P. Casadebaig, P. Debaeke, D. Wallach

The paper introduces a hybrid method to improve crop model predictions by combining phenotyping data with empirical post-processing corrections using field trial data.

bioRxiv · Dec 2, 2019Plant Biology