FARMSIM – A Farm Income & Nutrition Simulator for Families
FARMSIM is a simulation model used for projecting the probable economic and nutritional impacts of alternative technologies, farming systems, livestock management programs, marketing arrangements, crop mixes, risk management schemes, and environmental remediation programs on a representative crop/livestock farm. Model hosted and supported by the Agricultural and Food Policy Center @ Texas A&M University.
APEX – Crop & Land Management Simulation Model
A biophysical simulation model used to evaluate crop management technologies and decisions that affect agricultural production and environmental sustainability at the scales of individual fields, whole farms, or small watersheds. Model hosted and supported by Texas A&M AgriLife Research @ Blackland Research & Extension Center.
NUTBAL – Animal Performance Report
Assesses crude protein and net energy status of livestock based on nutrient profile of animal’s diet relative to requirements determined by genetic potential for maintenance, growth, fertility and lactation, and local environmental conditions to generate least cost feeding solutions for meeting performance goals. Decision aide is hosted and supported by the Center for Natural Resources Information Technology @ Blackland Research & Extension Center.
PHYGROW – Grazing & Range Land Assessment Model
A phytomass growth model used to determine the effects of variations in landscapes, animal populations (conditions, demand, timing), and weather and their impacts on carrying capacity, hydrology, and stability of forage production. Model is hosted and supported by the Center for Natural Resources Information Technology @ Blackland Research & Extension Center.
SWAT – A Soil & Water Assessment Tool
A biophysical simulation model that operates on a daily time step used to quantify the impacts of land management practices on stream flows and water quality in large complex watersheds or river basins. It uses geographic information systems to manage input and output data and is sensitive to weather, topography, soils, land use/land cover, and agricultural management practices. Model is hosted and supported by USDA Agricultural Research Service Grassland, Soil, and Water Research Laboratory.