Plant Genetics & Breeding
Germplasm evaluation, phenotyping, trait selection, crop improvement, and breeding decisions grounded in biological evidence.
Based in Folsom, California
Plant genetics · genomics · crop improvement
Science for crops that are more resilient, precise, and data-informed.
I'm Deepa Bhadana, Ph.D., a plant genetics and breeding researcher working across genomics, molecular biology, bioinformatics, plant health, and agricultural data analysis.
Ph.D.Genetics & Plant Breeding
5 yrsAgricultural R&D
GWASWheat genomics research
Research focusCrop geneticsfrom phenotype to biological insight
GWAS
Genomics
Plant health
Bioinformatics
Molecular biology
Translating complex biological data into research decisions
R•SAS•SPSS•TASSEL•GAPIT•GenStat•BLAST•Primer3•FastPCR•Circos•NCBI•Ensembl•R•SAS•SPSS•TASSEL•GAPIT•GenStat•BLAST•Primer3•FastPCR•Circos•NCBI•Ensembl•
Research areas
A multidisciplinary view of crop improvement.
My work connects field observations, molecular evidence, genomic data, and computational analysis to answer practical questions in plant science.
Genomics & GWAS
Marker-trait association analysis for disease resistance and grain-quality traits in bread wheat.
Molecular Biology
DNA isolation, PCR-based workflows, primer design support, molecular screening, and marker validation support.
Bioinformatics
Sequence analysis, comparative genomics, functional annotation, candidate-gene interpretation, and biological databases.
Plant Health
Disease-resistance research, pathogen-focused investigation, field observations, and plant-health data interpretation.
Data-Driven Agriculture
Statistical analysis, structured research datasets, computational agriculture, and scientific visualization for decision support.
Interactive research map
Explore the way the research connects.
Select a research lens to see how methods, evidence, and practical applications come together across Deepa's work.
Plant genetics
From variation to breeding decisions
01
Connect germplasm variation, field phenotypes, and trait performance to practical crop-improvement questions.
MethodGermplasm evaluation · phenotyping · trait selectionStep 1
EvidenceField observations · trait scores · seasonal datasetsStep 2
ApplicationCrop improvement · selection strategy · breeding decisionsStep 3
Selected work
Research stories, not just publication titles.
The full portfolio will turn each major project into a visual research narrative: question, method, evidence, finding, and practical relevance.
01Plant Pathology · Wheat Genomics
Genome-wide association study for powdery mildew resistance
Research connecting field-based disease phenotyping with genomic marker data to identify associations relevant to powdery mildew resistance in spring wheat germplasm.
GWASWheatDisease Resistance
02Molecular Genetics & Genomics
Genetic determinants of grain hardness, size and weight
Multi-model GWAS research investigating the genomic architecture of important grain-quality traits in bread wheat.
GenomicsGrain QualityMarker-Trait Associations
03Computational Agriculture
AI-assisted approaches for seed and crop disease research
A body of computational work exploring deep learning, computer vision, and genomic-aware approaches for agricultural disease detection and precision farming.
AIComputer VisionPrecision Agriculture
Experience
Research shaped by field, laboratory, and academic work.
2019–2026
Doctoral & collaborative research
Chaudhary Charan Singh University · Wheat genomics, GWAS, trait evaluation, candidate-gene interpretation, and publication development.
2018–2023
Research & Development / Crop Improvement
Dayal Seeds Limited · Germplasm evaluation, field phenotyping, disease observations, molecular-marker workflows, research datasets, and technical reporting.
Earlier
Biotechnology teaching & research foundation
Academic teaching, life-science training, and biotechnology research experience that built the communication and scientific-writing side of the portfolio.
“
The most useful research does more than produce a result. It makes the next scientific decision clearer.
That principle is the thread connecting my work in breeding, genomics, molecular biology, and computational agriculture.
Collaborate · Recruit · Connect