🫘 SF36 · GLYCIM AI — Soybean Production Science Chat
🫘 SOYBEAN PRODUCTION SCIENCE · SF36
⬡ USDA-ARS ACSL · GLYCIM · 2DSOIL
✓ SoyFACE Validated · 156 Site-Year Dataset

🫘 SF36 — GLYCIM Soybean
Production Science

Comprehensive soybean simulation powered by USDA-ARS ACSL's GLYCIM — featuring a leaf-level coupled energy balance model validated at SoyFACE. Quantifies CO₂ enrichment benefits (+8.8% per 100 ppm), temperature yield loss (−4.8%/°C), and drought × CO₂ interactions across the US Midwest rainfed production system.

💰 Economics Companion · SF36-E.4043
Run Science models first — switch to Economics for production ROI, drought risk cost, and climate adaptation breakeven.
SF36-S.4040
⬡ GLYCIM · G×E×M · SoyFACE Validated

🫘 GLYCIM Soybean Yield Simulator

Simulate soybean seed yield using GLYCIM's G×E×M framework — integrating variety maturity group, CO₂ × temperature × water stress interactions, and 2DSOIL soil dynamics. Calibrated against 156 site-year-cultivar-irrigation combinations from the US Mississippi Delta (RMSE ≤ 0.92 Mg/ha).

Optimal: 68–77°F. Yield loss: −4.8%/°C above optimum (GLYCIM).
GLYCIM: +8.8% yield per 100 ppm CO₂ enrichment (SoyFACE validated)
Rainfed soybean needs 15–25 inches during growing season
Pod fill drought is the highest-yield-loss stress period
🫘 Ask about GLYCIM yield simulation
SF36-S.4041
⬡ GLYCIM · SoyFACE · CO₂ × Drought Module

💧 CO₂ × Drought Interaction Analysis

Evaluate whether elevated CO₂ can offset drought stress in soybean production using GLYCIM's SoyFACE-validated drought × CO₂ model. GLYCIM reveals a critical finding: CO₂ benefits decline with increasing drought severity — the CO₂ fertilization effect is highest in northern counties and declines southward and westward.

💧 Ask about CO₂ × drought science
SF36-S.4042
⬡ GLYCIM · RCP 4.5 / 8.5 · 10km Spatial

🌡️ Midwest Climate Yield Projection

Project soybean yield changes across 12 US Midwest states under RCP 4.5 and 8.5 climate scenarios using GLYCIM's spatially-explicit 10km resolution projections. Without CO₂ effect: 24.6–47.4% loss. With CO₂ effect: 11.6–29.5% loss. Identifies county-level adaptation priorities.

🌡️ Ask about GLYCIM climate projections

🫘 About SF36 — GLYCIM Soybean Production Science

SF36 delivers research-grade soybean production science powered by USDA-ARS ACSL's GLYCIM — a comprehensive soybean crop simulator with a leaf-level coupled energy balance model of photosynthesis, transpiration, and stomatal conductance integrated with 2DSOIL's 2D convective-diffusive root growth module. Validated against the SoyFACE FACE experiment and 156 site-year-cultivar-irrigation combinations from the US Mississippi Delta.

For corn science, see SF32 · MAIZSIM →  ·  For the soil model foundation, see SF34 · 2DSOIL →  ·  For cotton, see SF37 · GOSSYM →

⬡ Model science: USDA-ARS ACSL · Dr. W. Sun (GLYCIM Lead) · Dr. D. Fleisher · Dr. D. Timlin · Dr. V.R. Reddy · Dr. Z. Wang (2DSOIL) · BARC · Beltsville, MD 20705

Research sources: GLYCIM (github.com/USDA-ARS-ACSL/2DGLYCIM) · Sun et al. 2022 (Ag. & Forest Meteor. — modified GLYCIM) · Sun et al. 2023 (drought × CO₂ — SoyFACE) · Fleisher et al. Mississippi Delta validation · AgrStak · agrstak.com · Patent Pending · US App 63/970,943

SF36 · GLYCIM AI
Soybean Production Science
🫘
GLYCIM AI Assistant
Powered by USDA-ARS ACSL science. Ask about soybean yield simulation, CO₂ enrichment (+8.8%/100ppm), drought × CO₂ interactions, Midwest climate projections, and production economics.