Author

Bharath Kunduru

Clemson UniversityORCID 0000-0002-6486-0953Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Assay:whole-genome sequencing· 2 Organism:zebrafish· 2 Research Focus:clustering· 1 Research Focus:development & morphogenesis· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:genome assembly· 1

Frequent Co-Authors

Christopher S. McMahaniD· 4 shared Manwinder S. BrariD· 4 shared Rajandeep S. SekhoniD· 4 shared Christopher J. StubbsiD· 3 shared Daniel J. RobertsoniD· 3 shared Kaitlin TabaracciiD· 3 shared Norbert T. BokrosiD· 3 shared Rohit KumariD· 3 shared

Activity by Year

2025-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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4 shared papersGenetics

Christopher S. McMahanORCID

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4 papers

Recent·Most cited

GeneticsbioRxivPreprintAug 27, 2026

Phenotypic plasticity, stalk geometry, and noncoding variation underpin stalk lodging resistance in maize

Bharath Kunduru, Norbert T. Bokros, Kaitlin Tabaracci…·Rajandeep S. Sekhon

This study identifies genetic and phenotypic factors contributing to stalk lodging resistance in maize by analyzing intermediate traits and their genetic correlations.

DOI 10.64898/2026.08.24.746877

zebrafishwhole-genome sequencing

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GeneticsThe Plant GenomePeer-reviewedSep 1, 2025

Genomic prediction of stalk lodging resistance and the associated intermediate phenotypes in maize using whole-genome resequence and multi-environmental data

Caíque Machado e Silva, Bharath Kunduru, Norbert T. Bokros…·Gota Morota

This study improves genomic prediction of stalk lodging resistance in maize by integrating multi-environment data, showing that multi-environment models significantly enhance prediction accuracy for most traits.

2 citations

whole-genome sequencingstatistical model

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Plant BiologyThe Plant CellPeer-reviewedJul 22, 2025

Temporal analysis of physiological phenotypes identifies novel metabolic and genetic underpinnings of senescence in maize

Manwinder S. Brar, Rohit Kumar, Bharath Kunduru…·Rajandeep S. Sekhon

This study identifies novel metabolic and genetic factors associated with leaf senescence in maize through temporal analysis of physiological and metabolic changes.

2 citations

plant (other)metabolomics

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Plant BiologybioRxivPreprintApr 3, 2025

High Density Phenotypic Map of Natural Variation for Intermediate Phenotypes Associated with Stalk Lodging Resistance in Maize

Bharath Kunduru, Norbert T. Bokros, Kaitlin Tabaracci…·Rajandeep S. Sekhon

The paper identifies 11 intermediate phenotypes related to stalk lodging resistance in maize and develops a high-density phenotypic dataset to enable genetic analysis and improve resistance.

2 citations

zebrafishproteomics

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