In past researchers have mainly focused on answering biological questions by studying a single gene or few genes and have been pretty successful, however, now we understand that biological organization and processes are much more complex and require a holistic approach. Our believes of simple linear relationship between a gene and phenotype is no longer sufficient. The role of environments (rest of the genome + unknown) in phenotype needs to be accounted and the genetic code has to be linked to physiological outcomes for quantum crop improvement. A "Holisto-Scope" is needed…………
Wheat breeding, genetics, applied genomics
Developing cultivars with improved winter hardiness and drought tolerance
Discovering new genetic variation in wheat (Mutations, wild relatives)
Current interests include:
Gene discovery in wheat using TILLING and next generation sequencing
Mapping of genes and QTls for disease resistance.
Genomics for sustainable crop improvement
Saini, D.K.$, Rana, A., Halder, J., Gill, H.S., Maruf Billah, M., Zhang, J., Thapa, S., Ali, S., Turnipseed, B., Glover, K., Maimaitijiang, M., Sehgal, S.K* (2024) Rapid estimation of DON content in wheat flour using close-range hyperspectral imaging and machine learning. Under review in The Plant Phenome Journal 7 (1), e70001
Kumar, P.$, Gill, H.S., Singh, M., Koupal, D., Kaur, K., Bernardo, A., St. Amand, P., Bai, G., Talukder, S., Sehgal, S.K* (2024) Characterization of flag leaf morphology identifies a novel major genomic region for flag leaf angle in winter wheat. Theoretical and Applied Genetics 137:205
Kaushal, S.$, Gill, H. S., Billah, M. M., Khan, S. N., Halder, J., Bernardo, A., Amand, P. S., Bai, G., Glover, K., Maimaitijiang, M., & Sehgal, S. K.* (2024). Enhancing the potential of phenomic and genomic prediction in winter wheat breeding using high-throughput phenotyping and deep learning. Front Plant Sci, 15, 1410249.
Thank you for the funding support