Plant Genetics & Breeding
Germplasm evaluation, phenotyping, trait selection, crop improvement, and breeding decisions grounded in biological evidence.
Plant genetics · genomics · crop improvement
I'm Deepa Bhadana, Ph.D., a plant genetics and breeding researcher working across genomics, molecular biology, bioinformatics, plant health, and agricultural data analysis.
Research areas
My work connects field observations, molecular evidence, genomic data, and computational analysis to answer practical questions in plant science.
Germplasm evaluation, phenotyping, trait selection, crop improvement, and breeding decisions grounded in biological evidence.
Marker-trait association analysis for disease resistance and grain-quality traits in bread wheat.
DNA isolation, PCR-based workflows, primer design support, molecular screening, and marker validation support.
Sequence analysis, comparative genomics, functional annotation, candidate-gene interpretation, and biological databases.
Disease-resistance research, pathogen-focused investigation, field observations, and plant-health data interpretation.
Statistical analysis, structured research datasets, computational agriculture, and scientific visualization for decision support.
Interactive research map
Select a research lens to see how methods, evidence, and practical applications come together across Deepa's work.
Plant genetics
Connect germplasm variation, field phenotypes, and trait performance to practical crop-improvement questions.
Selected work
The full portfolio will turn each major project into a visual research narrative: question, method, evidence, finding, and practical relevance.
Research connecting field-based disease phenotyping with genomic marker data to identify associations relevant to powdery mildew resistance in spring wheat germplasm.
Multi-model GWAS research investigating the genomic architecture of important grain-quality traits in bread wheat.
A body of computational work exploring deep learning, computer vision, and genomic-aware approaches for agricultural disease detection and precision farming.
Professional experience
Chaudhary Charan Singh University · Doctoral research managing complex phenotypic, genotypic, molecular, and experimental datasets; multi-model GWAS; statistical analysis in R, SAS, SPSS, and TASSEL; data QA/QC; visualization; technical reporting; and publication development.
Indian Institute of Patent and Trademark Education and Research · Biotechnology and life-science patent research, technology-landscape analysis, scientific literature review, technical writing, PCR and DNA-preparation workflows, biochemical assays, sample records, and laboratory documentation.
Chaudhary Charan Singh University · M.Phil. research using quantitative and statistical methods, experimental data collection and interpretation, technical reporting, and an independent project on molecular identification of a virus associated with sugarcane yellowing disease in Western Uttar Pradesh.
Defence Institute of Physiology & Allied Sciences, DRDO · Six-month M.Sc. research project evaluating skeletal muscle loss in chronic hypobaric hypoxia, with laboratory research, research documentation, data interpretation, and technical reporting in a government research environment.
Education
Graduate and doctoral training combining quantitative genetics, molecular biology, biotechnology, research methodology, and data analysis.
Nov 2019 – Mar 2026
Genetics & Plant Breeding
Chaudhary Charan Singh University, Meerut, India
Dissertation: Genome Wide Association Study of Powdery Mildew Resistance and Grain Hardness in Wheat (Triticum aestivum L.)
Jul 2017 – Jun 2018
Genetics & Plant Breeding
Chaudhary Charan Singh University, Meerut, India
First Division
Jul 2014 – Jun 2016
Biotechnology
Chaudhary Charan Singh University, Meerut, India
First Division
Jul 2011 – Jun 2014
Biotechnology
Chaudhary Charan Singh University, Meerut, India
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