- Associate Professor, Soil and Crop Sciences, College of Agriculture and Life Sciences
My research interests fall within the broader area of Weed Science and Agronomy, with particular emphasis on weed ecology and management. The threat of herbicide resistance is immense in broad-acre systems, leading to loss of effective herbicide options, increased herbicide use and unintended impacts on the broader environment. To this effect, the prime goal of my research program is to understand the evolutionary biology and dynamics of herbicide resistance in weed communities and develop integrated pest management (IPM) solutions encompassing chemical and non-chemical tactics to prevent/effectively manage herbicide resistance. I particularly use simulation modeling tools to answer some of the fundamental research questions surrounding herbicide resistance evolution and guide management decision-making. My research takes an inter-disciplinary approach in addressing knowledge gaps (problem-centric rather than discipline-centric) by integrating tools and knowledge from a wide range of disciplines. I actively collaborate with eminent research groups within and outside the United States.
- Ph.D. in Weed Ecology, University of Manitoba - (Winnipeg, Manitoba, Canada) 2009
Academic Articles92
- Jin, X., Bagavathiannan, M., McCullough, P. E., Chen, Y., & Yu, J. (2022). A deep learning-based method for classification, detection, and localization of weeds in turfgrass.. Pest Manag Sci. 78(11), 4809-4821.
- Schwartz-Lazaro, L. M., Shergill, L. S., Evans, J. A., Bagavathiannan, M. V., Beam, S. C., Bish, M. D., ... Mirsky, S. B. (2022). Seed-shattering phenology at soybean harvest of economically important weeds in multiple regions of the United States. Part 3: Drivers of seed shatter. WEED SCIENCE. 70(1), 79-86.
- Sapkota, B. B., Popescu, S., Rajan, N., Leon, R. G., Reberg-Horton, C., Mirsky, S., & Bagavathiannan, M. V. (2022). Use of synthetic images for training a deep learning model for weed detection and biomass estimation in cotton.. Sci Rep. 12(1), 19580.
- Coleman, G. R., Bender, A., Hu, K., Sharpe, S. M., Schumann, A. W., Wang, Z., ... Walsh, M. J. (2022). Weed detection to weed recognition: reviewing 50 years of research to identify constraints and opportunities for large-scale cropping systems. Weed Technology. 1-50.
- Allen, J. H., Ervin, D. E., Frisvold, G. B., Brosnan, J. T., McCurdy, J. D., Bowling, R. G., ... Bagavathiannan, M. V. (2022). Herbicide-Resistance in Turf Systems: Insights and Options for Managing Complexity. SUSTAINABILITY. 14(20), 13399-13399.
Chapters3
- Bagavathiannan, M., Singh, V., Govindasamy, P., Abugho, S. B., & Liu, R. (2017). Impact of Concurrent Weed or Herbicide Stress with Other Biotic and Abiotic Stressors on Crop Production. Plant Tolerance to Individual and Concurrent Stresses. 33-45. Springer Nature.
- Singh, V., Zhou, S., Ganie, Z., Valverde, B., Avila, L., Marchesan, E., ... Bagavathiannan, M. (2017). Rice Production in the Americas. Chauhan, B. S., Jabran, K., & Mahajan, G. (Eds.), Rice Production Worldwide. 137-168. Springer Nature.
- Jhala, A. J., Sarangi, D., Chahal, P., Saxena, A., Bagavathiannan, M., Chauhan, B. S., & Jha, P. (2017). Biology, Physiology and Molecular Biology of Weeds. Jugulam, M. (Eds.), Biology, Physiology and Molecular Biology of Weeds. 87-122. CRC Press.
Conference Papers2
- Rajan, N., Shafian, S., Cope, D., Bagavathiannan, M., Malambo, L., Popescu, S., & Rooney, B. (2017). Field research applications of UAS. AUVSI XPONENTIAL 2017.
- Murray, S. C., Knox, L., Hartley, B., Mendez-Dorado, M. A., Richardson, G., Thomasson, J. A., ... Rooney, W. L. (2016). High clearance phenotyping systems for season-long measurement of corn, sorghum and other row crops to complement unmanned aerial vehicle systems. AUTONOMOUS AIR AND GROUND SENSING SYSTEMS FOR AGRICULTURAL OPTIMIZATION AND PHENOTYPING, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping. 9866, 986607-986607-8.
Repository Documents / Preprints1
- Werner, K. M., Sarangi, D., Nolte, S. A., Dotray, P. A., & Bagavathiannan, M. V. (2019). Late-season surveys to document seed rain potential of Palmer amaranth (Amaranthus palmeri) and waterhemp (Amaranthus tuberculatus) in Texas cotton.
Principal Investigator9
Co-Principal Investigator3
Investigator2
- Venezuela - Information Intelligence for Farm Managers awarded by USDA-Foreign Agricultural Service 2018 - 2018
- BICH491 Hnr-research Instructor
- BICH491 Research Instructor
- GENE491 Hnr-research Instructor
- GENE491 Research Instructor
- SCSC291 Research Instructor
- Abugho, Seth Bernard Esteban (2020-05). Evaluation of Non-Chemical Weed Management Options in Organic Rice Production. (Doctoral Dissertation)
- Abugho, Seth Bernard Esteban (2020-01). Evaluation of Non-Chemical Weed Management Options in Organic Rice Production. (Doctoral Dissertation)
- Abugho, Seth Bernard Esteban (2020-05). Evaluation of Non-Chemical Weed Management Options in Organic Rice Production. (Doctoral Dissertation)
- Abugho, Seth Bernard Esteban (2020-01). Evaluation of Non-Chemical Weed Management Options in Organic Rice Production. (Doctoral Dissertation)
- Abugho, Seth Bernard Esteban (2020-05). Evaluation of Non-Chemical Weed Management Options in Organic Rice Production. (Doctoral Dissertation)