Author

David M. Stelly

Texas A&M UniversityORCID 0000-0002-3468-4119Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Assay:imaging· 2 Organism:plant (other)· 2 Approach:statistical model· 2 Organism:chicken / avian· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Approach:experimental assay· 1

Frequent Co-Authors

Aaron J. DeSalvioiD· 2 shared Alper AdakiD· 2 shared Serina M. DeSalvioiD· 2 shared Seth C. MurrayiD· 2 shared Addie ThompsoniD· 1 shared Candice N. HirschiD· 1 shared Corrinne E. GroveriD· 1 shared Daniel G. PetersoniD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersPlant Biology

Aaron J. DeSalvioORCID

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Author profile →

3 papers

Recent·Most cited

Distributional Data Analysis Uncovers Hundreds of Novel and Heritable Phenomic Features from Temporal Cotton and Maize Drone Imagery

Aaron J. DeSalvio, Marcos Matabuena, Alper Adak, Mustafa A. Arik, Serina M. DeSalvio, Seth C. Murray, Raymond K. W. Wong, Jode W. Edwards, Natalia de León, Shawn M. Kaeppler, Dayane Cristina Lima, Candice N. Hirsch, Addie Thompson, David M. Stelly

This paper introduces distributional data analysis to plant phenomics, showing it captures novel heritable features in cotton and maize imagery that improve yield prediction and explain genetic variation.

bioRxiv · Sep 5, 2025 · PreprintPlant Biology

Temporal Image Sandwiches Enable Link between Functional Data Analysis and Deep Learning for Single-Plant Cotton Senescence

Aaron J. DeSalvio, Alper Adak, Mustafa A Arik, Nicholas R. Shepard, Serina M. DeSalvio, Seth C. Murray, Oriana García-Ramos, Himabindhu Badavath, David M. Stelly

This paper links functional data analysis with deep learning to analyze single-plant cotton senescence using temporally concatenated UAS images.

in silico Plants · Jan 1, 2024Peer-reviewedPlant Biology

The Gossypium longicalyx genome as a resource for cotton breeding and evolution

Corrinne E. Grover, Mengqiao Pan, Daojun Yuan, Mark A. Arick, Guanjing Hu, Logan Brase, David M. Stelly, Zefu Lu, Robert J. Schmitz, Daniel G. Peterson, Jonathan F. Wendel, Joshua A. Udall

The paper presents a high-quality genome assembly of Gossypium longicalyx to study reniform nematode immunity and fiber evolution in cotton.

G3 Genes Genomes Genetics · Mar 2, 2020Peer-reviewedGenomics