Genetic and Genomics Research

The Singh group deploys genomic selection, marker-assisted breeding, and multi-omics tools to accelerate genetic gain in research and/or variety development. Recent genomic analyses have improved the rate of genetic gain for complex traits and facilitated the deployment of novel genes for resistance and seed quality enhancement. Genome-wide association studies and Genomic prediction-focused research have been published for multiple traits.

Papers of interest:

  • Cleiton A Wartha, Benjamin W Campbell, Vishnu Ramasubramanian, Liana Nice, Adam Brock, Guohong Cai, M Milad Eskandari, George Graef, Mathew E Hudson, David Hyten, Adam L Mahan, Nicolas F Martin, Leah McHale, Carrie Miranda, Eliana Monteverde Dominguez, Rex Nelson, Katy Rainey, Istvan Rajcan, Andrew Scaboo, William Schapaugh, Asheesh K Singh, João Paolo Gomes, Dechun Wang, Aaron J Lorenz. 2025. Genomic analysis and predictive modeling in the Northern Uniform Soybean Tests. Crop Science. 65:5. E70138. https://doi.org/10.1002/csc2.70138
  • Van der Laan L, K Parmley, M Saadati, HT Pacin, S Panthulugiri, B Ganapathysubramanian, S Sarkar, A Lorenz, AK Singh. 2025. Genomic and Phenomic Prediction for Soybean Seed Yield, Protein, and Oil. The Plant Genome. DOI: 10.1002/tpg2.70002. https://doi.org/10.1002/tpg2.70002
  • Rairdin A, F Fotouhi, J Zhang, DS Mueller, B Ganapathysubramanian, AK Singh, S Dutta, S Sarkar, and A Singh. (2022). Deep learning-based phenotyping for genome wide association studies of sudden death syndrome in soybean. Frontiers in plant science, 13, 966244. https://doi.org/10.3389/fpls.2022.966244
  • Shook JM, D Lourenco, AK Singh. 2021. PATRIOT: A Pipeline for Tracing Identity-by-Descent for Chromosome Segments to Improve Genomic Prediction in Self-Pollinating Crop Species. Frontiers in Plant Science, 2095. https://doi.org/10.3389/fpls.2021.676269
  • Shook JM, J Zhang, SE Jones, A Singh, BW Diers, AK Singh. 2021. Meta-GWAS for quantitative trait loci identification in soybean. G3: Genes, Genomes, Genetics 11 (7). https://doi.org/10.1093/g3journal/jkab117