Mechanistic G×E×M simulation powered by USDA-ARS ACSL's MAIZSIM model. Yield forecasting, heat stress analysis, nitrogen dynamics, soil water modeling, and production economics for corn and maize operations.
Simulate corn grain yield using MAIZSIM's G×E×M framework — integrating hybrid maturity, temperature × water stress, nitrogen inputs, and management into a season-long production forecast grounded in USDA-ARS ACSL mechanistic model science.
Evaluate temperature × photoperiod effects on corn developmental stages. MAIZSIM models heat stress impacts on germination, silking, pollination, and grain fill — the critical windows where temperature determines yield outcome.
Simulate corn nitrogen uptake, remobilization, and NUE using MAIZSIM N dynamics coupled with 2DSOIL solute transport. Identifies NUE gaps and optimal split-application timing to maximize N recovery.
2DSOIL-powered simulation of soil water movement, root water uptake, and surface runoff in corn production. Estimates irrigation requirements and water stress probability for the next 7 days.
SF32 delivers research-grade corn and maize production science powered by USDA-ARS ACSL's MAIZSIM — a mechanistic model integrating Genotype × Environment × Management (G×E×M) interactions with 2DSOIL two-dimensional soil water, heat, and solute dynamics.
For soil dynamics across all crops, see SF34 · 2DSOIL → · For rice science, see SF33 · RICESIM-2D → · For organic corn, see SF31 · Organic →
Research sources: MAIZSIM (github.com/USDA-ARS-ACSL/MAIZSIM) · 2DSOIL (USDA-ARS ACSL) · Wang et al. 2020–2022 · Fleisher et al. MAIZSIM publications · AgrStak · agrstak.com · Patent Pending · US App 63/970,943