Molecular Crop Physiologist

Bishal G. Tamang, Ph.D.

Molecular Crop Physiologist

Ainsworth Lab Β· Institute for Genomic Biology
University of Illinois Urbana-Champaign

Bishal G. Tamang, Ph.D.

About

I am a Research Scientist in the Ainsworth Lab at the University of Illinois, working within the RIPE project at the Institute for Genomic Biology. My research program integrates genetics, remote sensing, and computational biology to improve soybean canopy architecture for greater photosynthetic efficiency and yield.

I developed over 200 backcross lines and CRISPR-edited soybean targeting the narrow leaf (ln) locus to optimize leaf area index. I combine UAV and satellite imagery with machine learning to predict plant traits at scale, and use these predicted phenotypes for QTL mapping and phenomic selection. My earlier work characterized transcriptomic responses to flooding and drought stress in soybean, and transpiration dynamics in cereal crops.

Research Areas

  • Soybean canopy architecture & leaf shape genetics
  • UAV and satellite remote sensing for trait prediction
  • Machine learning for genomic-assisted breeding
  • QTL mapping with predicted phenotypes
  • Transcriptomics & gene function (GmJAG1/ln)
  • Plant stress physiology (flooding, drought, transpiration)

Research Focus

Understanding and improving crop productivity through physiological and molecular approaches.

Canopy Architecture & the ln Locus

Developed 200+ BC3 near-isogenic soybean lines and CRISPR-edited GmJAG1 knockouts to dissect how narrow leaf shape reduces leaf area index and improves light distribution through the canopy. Two U.S. provisional patents filed.

Remote Sensing & Machine Learning

Using multispectral UAV and satellite (Sentinel-2, Planet) imagery with XGBoost, random forest, and SVM models to predict peak LAI and yield across multi-environment soybean trials with hundreds of genotypes.

QTL Mapping with Predicted Traits

Applying mixed-model GWAS to ML-predicted BLUPs from remote sensing data to identify genetic loci for canopy traits. Identified 70 significant SNPs (29 independent signals after LD pruning) replicated across field locations.

Phenomic Selection

Integrating spectral reflectance data into genomic prediction frameworks. Satellite-derived phenomic selection achieves prediction accuracies comparable to UAV platforms, enabling scalable breeding applications.

Transcriptomics & Gene Function

RNA-seq and single-cell transcriptomic analysis of GmJAG1, the narrow leaf gene. JAG1 acts as a transcriptional repressor of cell cycle regulators including D-type cyclins and histone deacetylases in leaf primordia.

Stress Physiology & Transpiration

Characterized overlapping and distinct transcriptomic and hormonal responses to flooding and drought in soybean. Earlier work on nocturnal transpiration dynamics and circadian control of water use in cereal crops.

Scientific Contributions

For a complete list, visit my Google Scholar profile.

Breeding soybean for reduced leaf area index

Inventors: Tamang BG, BW Diers, EA Ainsworth
Application No.: U.S. Provisional 63/781,061
Filed: March 31, 2025

Soybean with stacked genes to improve photosynthesis

Inventors: Tamang BG, BW Diers, EA Ainsworth
Application No.: U.S. Provisional 63/781,059
Filed: March 31, 2025

  • Coming soon

News & Highlights

Journal of Plant Registrations 2025
March 2026

New Publication in Journal of Plant Registrations

Our paper on the registration of four soybean germplasms with contrasting leaf shapes in a common genetic background is now published.

Plant Physiology 2025 publication
December 2025

New Publication in Plant Physiology

Our paper "Bigger is not always better: optimizing leaf area index with narrow leaf shape in soybean" is now published in Plant Physiology!

FAO Conference
June 2025

FAO Global Agrifood Biotechnologies Conference

Presented our research on soybean canopy architecture optimization at the prestigious FAO conference in Rome, Italy.

AGBT 2025
February 2025

Speaker at AGBT Agricultural Meeting

Speaker at the Advances in Genome Biology and Technology (AGBT) Agricultural Meeting in Orlando, FL.

Functional Plant Biology
November 2024

New Publication in Functional Plant Biology

Our paper on high-throughput phenotyping of soybean transpiration response curves is now published.

October 2024

RIPE Project Ambassador

Honored to be selected as a RIPE project ambassador for 2025-2026, promoting our mission to improve global food security.

Soybean Breeders Workshop
August 2024

Soybean Breeders Workshop Presentation

Presented findings on CRISPR-edited soybean lines with altered canopy architecture at the annual workshop in St. Louis.

Academic Background

Education

Ph.D. (2016)

Agronomy and Crop Sciences
Virginia Tech

M.Sc. (2012)

Plant Breeding and Genetics
Tribhuvan University

B.Sc. (2009)

Plant Breeding and Genetics
Tribhuvan University

Research Positions

2020–Present

Research Scientist
University of Illinois

2016–2020

Postdoctoral Fellow
University of Minnesota

2013–2016

Graduate Research Assistant
Virginia Tech

Selected Awards

2025–2026

RIPE Project Ambassador

2019

ASPB Plantae's Network Champion

2016

Charles I. Rich Fellowship
Virginia Tech

2015

Phyllis G. & Reginald H. Nelson IV
Tuition Scholarship

Contact

Office

Institute for Genomic Biology
University of Illinois
Urbana-Champaign, IL 61801