Author

J. M. Kolkman

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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Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:zebrafish· 1

Frequent Co-Authors

B. Alaca· 1 shared C. N. Hirsch· 1 shared D. C. Lima· 1 shared D. E. Kroon· 1 shared D. Ertl· 1 shared D. Kick· 1 shared D. Moreta· 1 shared J. C. Schnable· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperPlant Biology

B. Alaca

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2 papers

Recent·Most cited

Yield Prediction Through Integration of Genetic, Environment, and Management Data Through Deep Learning

D. Kick, J. Wallace, J. C. Schnable, J. M. Kolkman, B. Alaca, T. M. Beissinger, D. Ertl, S. Flint-Garcia, J. L. Gage, C. N. Hirsch, J. E. Knoll, N. de Leon, D. C. Lima, D. Moreta, M. Singh, , J. D. Washburn

This study uses deep learning to predict maize yield by integrating genetic, environmental, and management data, finding that models incorporating interactions perform best.

bioRxiv · Jul 29, 2022Plant Biology

Maize nested introgression library provides evidence for the involvement of liguleless1 in resistance to northern leaf blight

J. M. Kolkman, J. Strable, K. Harline, D. E. Kroon, T. Wiesner-Hanks, P. Bradbury, R. J. Nelson

The paper uses a maize nested NIL library to identify liguleless1 as a gene involved in resistance to northern leaf blight.

bioRxiv · Oct 24, 2019Plant Biology