Author

Ashmita Upadhyay

University of Arkansas at Fayetteville

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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Genetics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Organism:plant (other)· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Alexander Edward LipkaiD· 1 shared Andrew D. B. LeakeyiD· 1 shared John N. FergusoniD· 1 shared Meilu Yuan· 1 shared Mohammed El-KebiriD· 1 shared Rachel E. Paul· 1 shared Ruhana Azam· 1 shared Samuel B. FernandesiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenetics

Alexander Edward LipkaORCID

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1 paper

Recent·Most cited

Improving Multi-Trait Genomic Prediction Efficiency Through The Incorporation Of Synthetic Traits Selected Based on Co-heritability

Ashmita Upadhyay, Ruhana Azam, Meilu Yuan, Stefan S. Ivanovic, John N. Ferguson, Rachel E. Paul, Sanmi Koyejo, Mohammed El-Kebir, Alexander Edward Lipka, Andrew D. B. Leakey, Samuel B. Fernandes

This paper improves genomic prediction accuracy by using synthetic traits derived from hyperspectral data, showing higher accuracy than single-trait models for leaf traits in sorghum.

bioRxiv · Jun 23, 2025 · PreprintGenetics