Author

Brian W. Diers

University of Illinois Urbana-ChampaignORCID 0000-0003-3584-5495Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Plant Biology· 2 Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:plant (other)· 3 Approach:experimental assay· 2 Research Focus:GWAS / association mapping· 2 Assay:proteomics· 2 Approach:statistical model· 2 Research Focus:development & morphogenesis· 1 Research Focus:ecology & biodiversity· 1 Assay:GWAS summary statistics· 1

Frequent Co-Authors

Anthony DigradoiD· 1 shared Arti SinghiD· 1 shared Asheesh Kumar SinghiD· 1 shared Bethany BlakelyiD· 1 shared Bishal G. TamangiD· 1 shared Carl J. BernacchiiD· 1 shared Daniel J. EckiD· 1 shared Dhananjay GotarkariD· 1 shared

Activity by Year

2019-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 10 mutual co-author links

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1 shared paperPlant Biology

Anthony DigradoORCID

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4 papers

Recent·Most cited

Plant BiologyPLANT PHYSIOLOGYPeer-reviewedDec 24, 2025

Bigger is not always better: Optimizing leaf area index with narrow leaf shape in soybean

Bishal G. Tamang, Gregory C. Bernard, Carl J. Bernacchi…·Elizabeth A. Ainsworth

This study shows that narrow-leaf soybean lines maintain yield while reducing leaf area index, suggesting a strategy to improve agricultural sustainability.

7 citations

plant (other)proteomics

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Plant BiologyThe Plant JournalPeer-reviewedJan 1, 2025

Variation in relaxation of non-photochemical quenching between the founder genotypes of the soybean (Glycine max) nested association mapping population

Dhananjay Gotarkar, Anthony Digrado, Yu Wang…·Steven Burgess

The paper measures NPQ relaxation variation in soybean genotypes to assess its potential for improving photosynthesis and yield.

6 citations

plant (other)proteomics

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GeneticsG3 Genes Genomes GeneticsPeer-reviewedApr 15, 2021

Meta-GWAS for quantitative trait loci identification in soybean

Johnathon M. Shook, Jiaoping Zhang, Sarah E. Jones…·Asheesh Kumar Singh

This study performs a meta-GWAS on soybean data to identify quantitative trait loci (QTL) associated with various traits, finding 483 QTL at 393 unique loci and 66 candidate genes.

63 citations

plant (other)GWAS summary statistics

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GenomicsbioRxivPreprintJul 1, 2019

First Attempt To Identify And Map QTLs Associated With Promiscuous Nodulation In Soybean

Eric Etchikinto Agoyi, John Baptist Tumuhairwe, Godfree Chigeza…·Brian W. Diers

This study identifies two QTLs associated with promiscuous nodulation in soybean using GBS and QTL analysis, suggesting potential pleiotropy and non-additive effects.

3 citations

statistical modelGWAS / association mapping

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