Author

S. C. Murray

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· 5

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 3 Organism:plant (other)· 3 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Approach:experimental assay· 2 Assay:imaging· 2 Organism:zebrafish· 2

Frequent Co-Authors

A. Adak· 3 shared S. L. Anderson· 2 shared Y. Chen· 2 shared A. Chang· 1 shared A. J. DeSalvio· 1 shared C. Conrad· 1 shared C. M. Dickens· 1 shared D. Cope· 1 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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3 shared papersPlant Biology

A. Adak

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5 papers

Recent·Most cited

Near Infrared Reflectance Spectroscopy Phenomic and Genomic Prediction of Maize Agronomic and Composition Traits Across Environments

A. J. DeSalvio, A. Adak, S. C. Murray, D. Jarquin, N. Winans, D. Crozier, W. Rooney

This study combines genomic and NIRS data to predict maize agronomic and composition traits across environments, finding that NIRS improves predictions in some scenarios but not all.

bioRxiv · Aug 21, 2023 · PreprintPlant Biology

Temporal phenomic predictions from unoccupied aerial systems can outperform genomic predictions

A. Adak, S. C. Murray, S. L. Anderson

This paper shows that temporal phenomic data from drones can predict plant fitness as well as genomic data in maize hybrids.

bioRxiv · Oct 6, 2021Plant Biology

Validation of Functional Polymorphisms Affecting Maize Plant Height by Unoccupied Aerial Systems (UAS) allows Novel Temporal Phenotypes

A. Adak, S. C. Murray, C. Conrad, Y. Chen, S. Anderson, N. Subramanian, S. Wilde

The paper validates two maize PHT QTVs using UAS to show their dynamic effects across genetic backgrounds and growth stages, revealing overlooked phenotypic variability.

bioRxiv · Sep 30, 2020Plant Biology

Unoccupied aerial system enabled functional modeling of maize (Zea mays L.) height reveals dynamic expression of loci associated to temporal growth.

S. L. Anderson, S. C. Murray, Y. Chen, L. Malambo, A. Chang, S. Popescu, D. Cope, J. Jung

This paper uses UAS to model maize growth and identifies temporal QTL associated with plant height, showing dynamic expression patterns over time.

bioRxiv · Nov 19, 2019 · PreprintPlant Biology

Maize Kernel Development Stage the Primary Factor in Differential Gene Expression in Response to Two Methods of Field Inoculation with Aspergillus flavus

N. J. Wahl, S. C. Murray, H.-B. Zhang, M. Zhang, C. M. Dickens, T. S. Isakeit

This study identifies grain maturity as the main factor affecting gene expression changes in maize inoculated with Aspergillus flavus, with side needle inoculation causing more fungal reads and aflatoxin production.

bioRxiv · May 9, 2019 · PreprintPlant Biology