Author

Raymond K. W. Wong

Texas A&M UniversityORCID 0000-0001-9342-3755Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:imaging· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Organism:chicken / avian· 1 Research Focus:database / resource· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

Aaron J. DeSalvioiD· 2 shared Addie ThompsoniD· 2 shared Alper AdakiD· 2 shared Candice N. HirschiD· 2 shared Dayane Cristina LimaiD· 2 shared Jode W. EdwardsiD· 2 shared Natalia de LeóniD· 2 shared Seth C. MurrayiD· 2 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersPlant Biology

Aaron J. DeSalvioORCID

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2 papers

Recent·Most cited

An open field phenomics resource for multimodal maize yield prediction across divergent environments

Aaron J. DeSalvio, Peiman Mohseni, Alper Adak, Seth C. Murray, Mustafa Arık, Raymond K. W. Wong, Jinha Jung, Dayane Cristina Lima, Alejandro Castro Aviles, Edward S. Buckler, Nick G. Duffield, Jode W. Edwards, David Ertl, Sherry A. Flint-Garcia, Michael A. Gore, , Natalia de León

Drone imagery from 356 flights in 19 Genomes to Fields maize environments; vegetation-index functional principal components complement genomic kernels, predicting yield of held-out hybrids at r up to 0.501.

bioRxiv · Sep 18, 2026 · PreprintPlant Biology✦ In-depth digest

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