Dr. Vijay Kamal Meena
Agriculture University Jodhpur, Indian Council of Agricultural Research, Indian Agricultural Research Institute
0000-0002-1025-355X
About
I am a Plant Molecular Geneticist and Quantitative Breeder. My research integrates functional genomics, molecular marker development, and advanced quantitative genetic modeling to improve nutritional and stress-resilience traits in Oilseed Brassica. I have experience in gene cloning, SNP discovery, qRT-PCR–based expression analysis, and bioinformatics approaches including codon usage and evolutionary analysis. My work spans oilseed, cereal, and pulse crops, where I integrate quantitative genetic modeling with molecular breeding and functional genomics to accelerate trait improvement. I have published extensively in international peer-reviewed journals and actively contribute to teaching, student supervision, and statistical training workshops. My research goal is to integrate molecular biology, bioinformatics, and quantitative genomics to accelerate crop improvement and nutritional biofortification.
Employment
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Indian Council of Agricultural Research Scientist2023 - 2033
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Agriculture University Jodhpur Assistant Professor2022 - Present
Education
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Indian Agricultural Research Institute M.Sc.2016 - 2018
Projects & Funding
Projects & funding information is unavailable.
Publications (42)
- Beyond the single gene: Integrating genomic selection and genome editing for the improvement of polygenic traits in crop plants Save
- PlantBreedingSuite: an integrated open-source r shiny dashboard for genetic diversity analysis, multi-environment trial stability, and multi-trait selection in crop breeding programmes Save
- PlantBreedingSuite: An Integrated Open-Source R Shiny Dashboard for Genetic Diversity Analysis, Multi-Environment Trial Stability, and Multi-Trait Selection in Crop Breeding Programmes Save
- Deciphering candidate genes governing Self-incompatibility reaction in Indian mustard [Brassica juncea (L.) Czern. and Coss.] Save
- Development and Evaluation of a Weather-based Forewarning Model for Managing Maydis Leaf Blight in Maize Using Novel Fungicides Save
- Multi-trait selection indices identify superior mungbean ( Vigna radiata L.) genotypes under semi-arid rainfed conditions Save
- Differentiation and validation of mild and severe strains of citrus tristeza virus through codon usage bias, host adaptation, and biochemical profiling Save
- Plant Phenomics: The Force Behind Tomorrow’s Crop Phenotyping Tools Save
- More accurate forecasting of drought indices using a decomposition-based hybrid machine learning model Save
- More accurate forecasting of drought indices using a decomposition-based hybrid machine learning model Save