Author

A. Adak

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Plant Biology· 3

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:gene regulatory network inference· 2 Organism:plant (other)· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Assay:imaging· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

S. C. Murray· 3 shared A. J. DeSalvio· 1 shared C. Conrad· 1 shared D. Crozier· 1 shared D. Jarquin· 1 shared N. Subramanian· 1 shared N. Winans· 1 shared S. Anderson· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersPlant Biology

S. C. Murray

Mutual co-authors in cluster

Author profile →

3 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