Author

C. Messina

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· 6

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:zebrafish· 2 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:plant (other)· 1 Assay:proteomics· 1 Approach:simulation· 1 Approach:statistical model· 1

Frequent Co-Authors

M. Cooper· 6 shared C. Gho· 4 shared T. Tang· 4 shared R. Clark· 3 shared C. H. Diepenbrock· 2 shared E. C. Brummer· 2 shared H. Mo· 2 shared J. Carter· 2 shared

Activity by Year

2020-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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6 shared papersPlant Biology

M. Cooper

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6 papers

Recent·Most cited

Root system growth and function response to soil temperature in maize (Zea mays L.)

R. Clark, D. Chamberlain, C. H. Diepenbrock, M. Cooper, C. Messina

This study investigates genetic variation in maize root growth and water transport under low temperatures and shows their contribution to drought tolerance and yield variation.

bioRxiv · Mar 15, 2023 · PreprintPlant Biology

Transgene by Germplasm Interactions Can Impact Transgene Evaluation

J. F. Linares, N. D. Coles, H. Mo, J. E. Habben, S. Humbert, C. Messina, T. Tang, M. Cooper, C. Gho, R. Carrasco, J. Carter, J. Flounders, E. C. Brummer

This study evaluates how genetic background affects transgene performance in maize, finding variable yield impacts across different hybrid combinations.

bioRxiv · Oct 22, 2022Plant Biology

Methods for Evaluating Effects of Transgenes for Quantitative Traits

J. F. Linares, N. D. Coles, H. Mo, J. E. Habben, S. Humbert, C. Messina, T. Tang, M. Cooper, C. Gho, R. Carrasco, J. Carter, J. Flounders, E. C. Brummer

This study evaluates three methods for estimating transgene effects across genetic backgrounds and environments, finding that bulked F3 lines topcrossed to a tester inbred provide the most effective approach.

bioRxiv · Oct 22, 2022Plant Biology

Plant Breeding in the face of climate change

C. Messina, M. Cooper

The paper proposes a framework for breeding crops adapted to climate change by integrating genomic, agronomic, and environmental predictors to predict phenotypes and identify effective G x M technologies.

bioRxiv · Oct 7, 2022 · PreprintPlant Biology

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

Reproductive resilience but not root architecture underpin yield improvement in maize

C. Messina, M. Cooper, D. McDonald, H. Poffenbarger, R. Clark, A. Salinas, Y. Fang, C. Gho, T. Tang, G. Graham

This study shows that yield improvement in maize is driven by reproductive resilience rather than changes in root architecture or water capture.

bioRxiv · Sep 30, 2020 · PreprintPlant Biology