Mechanistic rice simulation powered by USDA-ARS ACSL's RICESIM-2D model. Yield forecasting, heat stress at flowering, flood vs. alternate wet-dry irrigation water demand, nitrogen dynamics, and production economics for US rice operations.
Simulate rice grain yield using RICESIM-2D's G×E×M framework — integrating variety type, temperature × water × CO₂ stress interactions, irrigation management, and soil dynamics for US production regions (Mississippi Delta, California Sacramento Valley, Gulf Coast).
Simulate rice irrigation water requirements using RICESIM-2D coupled with 2DSOIL. Compares continuous flood vs. alternate wet-dry (AWD) irrigation — quantifying water savings, yield trade-offs, and methane emission reduction under future climate projections.
Evaluate high temperature effects on rice spikelet sterility during the critical flowering window. RICESIM-2D models day and night temperature stress impacts on pollen viability, pollination success, and grain set — the primary mechanism of heat-induced yield loss in US rice.
SF33 delivers research-grade rice production science powered by USDA-ARS ACSL's RICESIM-2D — a mechanistic model developed to accurately simulate rice response to water availability and heat stress, integrated with 2DSOIL two-dimensional soil water and heat dynamics. Validated across Mississippi Delta, California Sacramento Valley, and Gulf Coast production regions.
For corn science, see SF32 · MAIZSIM → · For soil dynamics, see SF34 · 2DSOIL → · For organic farming, see SF31 · Organic →
Research sources: RICESIM-2D (github.com/USDA-ARS-ACSL/RICESIM-2D) · Li et al. 2024 (ScienceDirect — Climate change impacts on US rice) · USDA-ARS CRIS-8042-11660-001-00D · USDA-NASS rice production data · AgrStak · agrstak.com · Patent Pending · US App 63/970,943