Author

M. Correa Abondano

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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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:imaging· 1 Organism:plant (other)· 1 Approach:statistical model· 1

Frequent Co-Authors

K. J. Schmid· 2 shared C. Andreasen· 1 shared C. X. Colque-Little· 1 shared D. Buchvaldt Amby· 1 shared H.-P. Piepho· 1 shared L. Kienbaum· 1 shared O. Sogard Lund· 1 shared R. H. Blas Sevillano· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 24 mutual co-author links

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2 shared papersPlant Biology

K. J. Schmid

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2 papers

Recent·Most cited

DeepCob: Precise and high-throughput analysis of maize cob geometry using deep learning with an application in genebank phenomics

L. Kienbaum, M. Correa Abondano, R. H. Blas Sevillano, K. J. Schmid

The paper develops a deep learning pipeline using Mask R-CNN for high-throughput maize cob phenotyping, showing superior performance to classical methods and demonstrating its application in genebank analysis.

bioRxiv · Mar 16, 2021Plant Biology

Genetic variation for tolerance to the downy mildew pathogen Peronospora variabilis in genetic resources of quinoa (Chenopodium quinoa)

C. X. Colque-Little, M. Correa Abondano, O. Sogard Lund, D. Buchvaldt Amby, H.-P. Piepho, C. Andreasen, S. M. Schmöckel, K. J. Schmid

The paper assesses genetic variation for downy mildew tolerance in quinoa by infecting diverse genotypes and finding a polygenic architecture with strong genotypic effects but no significant marker-trait associations.

bioRxiv · Aug 19, 2020Plant Biology