معرفی
Seth Dorman serves as a Research Scientist at the USDA-ARS Forage Seed and Cereal Research Unit, co-located on the Oregon State University (OSU) campus, and holds a Courtesy Faculty appointment in OSU's Department of Crop and Soil Science. His work bridges federal agricultural research with academic extension, focusing on practical solutions for Pacific Northwest field crop systems.
Dr. Dorman's research centers on arthropod pest ecology and population dynamics in agricultural landscapes. He specializes in integrated pest management (IPM) development through geospatial analytics, predictive modeling, and insect-pathogen interaction studies. His work targets economically significant pests in grass and clover seed production, emphasizing decision-support tools that translate ecological insights into field applications. Key methodologies include landscape-scale monitoring, resistance testing, and climate-pest modeling.
Recent publications reveal consistent focus on yellow dwarf virus management in grass seed crops, insecticide resistance monitoring (particularly in clover seed weevils and spider mites), and predictive phenology modeling for pests like black cutworm. His work increasingly integrates remote sensing with traditional entomology, showing strong regional specialization in Oregon's seed production systems while addressing cross-border pest challenges.
Dr. Dorman actively mentors graduate students and leads a multidisciplinary research team. Current advisees include M.S. candidates Wyatt Davis-Hinze and Samikshya Pandey, with former student Grace Tiwari completing her degree. His lab structure incorporates biological science technicians (Casey Cruse) and undergraduate researchers, creating a pipeline for next-generation agricultural scientists.
The research group operates within the USDA-ARS facility while maintaining deep integration with OSU's Crop and Soil Science department and the Oregon Pest Monitoring Network. Team activities span field trials across Pacific Northwest seed-growing regions, laboratory resistance testing, and geospatial data analysis for real-time pest forecasting.
