Author

J. Rotundo

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:statistical model· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Organism:plant (other)· 1 Organism:zebrafish· 1

Frequent Co-Authors

F. van Eeuwijk· 2 shared R. F. McCormick· 2 shared A. P. Gaspar· 1 shared C. D. Messina· 1 shared C. Gho· 1 shared C. H. Diepenbrock· 1 shared C. Messina· 1 shared D. Berning· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersPlant Biology

F. van Eeuwijk

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2 papers

Recent·Most cited

Two decades of creating drought tolerant maize and underpinning prediction technologies in the US corn-belt: Review and perspectives on the future of crop design

C. Messina, M. Cooper, G. Hammer, D. Berning, I. Ciampitti, R. Clark, C. H. Diepenbrock, C. Gho, M. Jines, T. Lee, R. F. McCormick, E. Mihura, D. Podlich, J. Rotundo, M. Smalley, , F. van Eeuwijk

This paper reviews drought tolerant maize breeding efforts and shows increased crop improvement rates, suggesting future crop design through integrated prediction technologies.

bioRxiv · Oct 29, 2020 · PreprintPlant Biology

Intercontinental prediction of soybean phenology via hybrid ensemble of knowledge-based and data-driven models

R. F. McCormick, S. K. Truong, J. Rotundo, A. P. Gaspar, D. Kyle, F. van Eeuwijk, C. D. Messina

The paper develops a hybrid model combining knowledge-based and data-driven approaches to predict soybean phenology across continents, achieving lower error than existing benchmarks.

bioRxiv · Sep 22, 2020Plant Biology