A network diffusion modeling framework to assess regional herbicide resistance spread in rice and support mitigation planning. The approach captures cross-pollination dynamics and adoption shifts, evaluates regional economic impacts, and identifies tipping points where resistance becomes entrenched. It also estimates the cost-effectiveness of strategies such as buffer zones, trait stewardship, and coordinated rotations.
This solution leverages a network diffusion modeling framework to understand and manage the spread of herbicide resistance between cultivated rice and weedy rice. By simulating the spatial and temporal dynamics of cross-pollination and adoption shifts, this approach provides strategies to minimize resistance risks. The framework evaluates the cost-effectiveness of mitigation strategies like buffer zones, trait stewardship, and coordinated rotations, offering actionable insights for growers and stakeholders.
The current technology readiness level is 3. The model is in the parameterization and validation phase, with future plans to simulate and assess the effectiveness of proposed mitigation strategies using compiled data and sensitivity analyses.
Utah State University is a comprehensive public land‑grant research university (Carnegie R1) serving Utah through a flagship Logan campus and a statewide network. Industry connects through the Innovation Campus research park, where companies co‑locate with faculty and access shared facilities. USU’s Space Dynamics Laboratory, a US Space Force–sponsored University Affiliated Research Center, offers mission‑driven pathways for space and defense collaboration. Statewide Extension offices and field sites enable pilot deployments and real‑world validation across Utah’s diverse settings. Research is supported by competitive federal funding from agencies such as NSF, USDA, NASA, and DoD, with Technology Transfer Services managing IP, licensing, and SBIR/STTR support.