REMINDER: Nitrogen fertilizer fall and frozen soil application restrictions begin September 1 e
Minnesota’s Groundwater Protection Rule went into effect on June 24, 2019.
Computer models are commonly used in agriculture to help make decisions using complex variables
The MDA’s goal under part 2 of the Groundwater Prot
Estimating N leaching from agricultural fields is complicated. There are many factors that influence N leaching losses, including:
- Climate (precipitation, temperature, evapotranspiration)
- Soils (texture, organic matter, depth)
- Crop rotation and management
- Water management (irrigation, tile-drainage)
- Nitrogen management (source, rate, timing, placement, method of application)
- Crop growth (planting date and nitrogen uptake)
- N movement over or within the soil (leaching, tile-drainage, runoff, groundwater discharge)
Developing N leaching reduction strategies based solely on field research can be difficult since research is often limited to specific locations, management practices, environmental conditions, and soil properties that may not accurately represent all DWSMAs. However, Minnesota specific field research data is used to inform models by helping to set input constraints and output expectations.
Modeling is an Important Tool to Develop N Leaching Reduction Strategies in DWSMAs
Estimating N leaching from agricultural fields is complicated. There are many factors that influence N leaching losses, including:
- Climate (precipitation, temperature, evapotranspiration)
- Soils (texture, organic matter, depth)
- Crop rotation and management
- Water management (irrigation, tile-drainage)
- Nitrogen management (source, rate, timing, placement, method of application)
- Crop growth (planting date and nitrogen uptake)
- N movement over or within the soil (leaching, tile-drainage, runoff, groundwater discharge)
Developing N leaching reduction strategies based solely on field research can be difficult since research is often limited to specific locations, management practices, environmental conditions, and soil properties that may not accurately represent all DWSMAs. However, Minnesota specific field research data is used to inform models by helping to set input constraints and output expectations.
