Author

D. Mayfield-Jones

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:cell type annotation· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Research Focus:metabolism & bioenergetics· 1 Assay:metabolomics· 1 Organism:plant (other)· 1 Approach:statistical model· 1 Organism:zebrafish· 1

Frequent Co-Authors

A. Leakey· 2 shared J. Xie· 2 shared G. Erice· 1 shared M. Choi· 1 shared R. Ding· 1 shared S. Kang· 1 shared Y. Zhang· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 15 mutual co-author links

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2 shared papersPlant Biology

A. Leakey

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2 papers

Recent·Most cited

Plasticity in stomatal behavior across a gradient of water supply is consistent among field-grown maize inbred lines with varying stomatal patterning

R. Ding, J. Xie, D. Mayfield-Jones, Y. Zhang, S. Kang, A. Leakey

The study finds that stomatal conductance model parameters m and g1 are consistent across diverse maize genotypes under varying water supplies, suggesting flexibility in water use efficiency mechanisms.

bioRxiv · Oct 28, 2021 · PreprintPlant Biology

Optical topometry and machine learning to rapidly phenotype stomatal patterning traits for QTL mapping in maize

J. Xie, D. Mayfield-Jones, G. Erice, M. Choi, A. Leakey

Optical topometry and machine learning tools were developed to assess epidermal cell patterning, and applied to analyze its genetic architecture alongside leaf photosynthetic gas exchange in maize.

bioRxiv · Oct 9, 2020Plant Biology