Author

C. Quesada-Traver

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

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:plant (other)· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:genome assembly· 1 Assay:imaging· 1

Frequent Co-Authors

S. Yates· 2 shared A. Patocchi· 1 shared B. Studer· 1 shared Bruno Studer· 1 shared E. Holzknecht· 1 shared F. Didelot· 1 shared F. Hess· 1 shared F. Laurens· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersPlant Biology

S. Yates

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2 papers

Recent·Most cited

From smartphone to gene: Automated image-based phenotyping captures flowering diversity of common buckwheat

C. Quesada-Traver, F. Hess, F. Tschurr, L. Kronenberg, G. Rimat, S. Yates, Bruno Studer

The paper uses smartphone imaging and automated analysis to phenotype flowering traits in buckwheat, identifying heritable traits and genomic regions associated with flowering patterns.

bioRxiv · Nov 4, 2026 · PreprintPlant Biology

Integrative multi-environmental genomic prediction in apple

M. Jung, C. Quesada-Traver, M. Roth, M. J. Aranzana, H. Muranty, M. Rymenants, W. Guerra, E. Holzknecht, N. Pradas, L. Lozano, F. Didelot, F. Laurens, S. Yates, B. Studer, G. A. Broggini, A. Patocchi

This study applies statistical and deep learning models to multi-environmental genomic prediction in apple, showing improved predictive ability for certain traits.

bioRxiv · Jun 20, 2024Plant Biology