Author

S. M. Gleason

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· 3

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 2 Approach:statistical model· 2 Research Focus:development & morphogenesis· 1 Approach:experimental assay· 1 Organism:multiple species· 1 Organism:plant (other)· 1

Frequent Co-Authors

C. Hunter· 2 shared L. H. Comas· 2 shared B. M. Stevens· 1 shared C. D. Messina· 1 shared D. Creek· 1 shared D. Lombardozzi· 1 shared D. M. Barnard· 1 shared D. R. Wang· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersPlant Biology

C. Hunter

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3 papers

Recent·Most cited

Physiological trait networks enhance understanding of crop growth and water use in contrasting environments

S. M. Gleason, D. M. Barnard, T. R. Green, D. S. Mackay, D. R. Wang, E. A. Ainsworth, J. Altenhofen, T. J. Brodribb, H. Cochard, L. H. Comas, M. Cooper, D. Creek, K. C. DeJonge, S. Delzon, F. B. Fritschi, , H. Zhang

The paper uses a process-based model to identify contrasting trait networks in maize that enhance growth and water use in different environments.

bioRxiv · Mar 11, 2022Plant Biology

Growth and grain yield of eight maize hybrids is aligned with water transport, stomatal conductance, and photosynthesis in a semi-arid irrigated system

S. M. Gleason, L. Nalezny, C. Hunter, R. Bensen, S. Chintamanani, L. H. Comas

The paper examines trait networks in maize hybrids under different water conditions, finding that water transport, stomatal conductance, and photosynthesis are linked to growth and yield.

bioRxiv · Feb 4, 2021Plant Biology

Wood capacitance is related to water content, wood density, and anatomy across 30 temperate tree species

K. Zieminska, E. Rosa, S. M. Gleason, N. M. Holbrook

The paper examines the relationship between wood capacitance and various traits across 30 temperate tree species, finding that wood density and water content are the strongest predictors.

bioRxiv · Sep 25, 2019Plant Biology