1. General Model Information

Name: Soybean simulation growth model

Acronym: GOYCIM

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Abstract:

GOYCIM is a soybean simulation growth model that is an extension of GLYCIM. Its purpose is to predict how soybeans will grow given weather, soils, and management strategies. It differs from GLYCIM in that GOYCIM is designed to be run on larger scales (counties to regional).

GOYCIM simulates

• photosynthesis;
• transpiration;
• carbon partitioning;
• organ growth and development;
• water movement;
• plant response to temperature and soil moisture.

The model operates on a daily time step for a growing season. A typical run is for 20 years.

Model input data requirements include:

• daily maximum and minimum temperature,
• rainfall,
• wind run (if available),
• wet and dry bulb temperature (if available),
• soils data (e.g. depth, texture, bulk density, water content, nitrogen content),
• crop management strategies,
• latitude,
• CO2 concentration and
• solar radiation.

Model output contains over 25 variables related to plant yield, nitrogen fixation, carbon storage per plant component and leaf area index.