Predicting Suitable Days for Field Machinery Operations in a Whole Farm Simulation

Accurate information on the days suitable for field operations is important in the design, development, andselection of efficient machinery systems for crop production. The number of days suitable varies widely with climate, soilcharacteristics, and type of operation. This information is normally difficult to obtain for a given location. A model wasdeveloped to predict suitable day information from long-term weather records and soil characteristics of a location. Thismodel forms a component of a farm model where it is used in the simulation of the timeliness, productivity, and costs ofmachinery systems in crop production. Optional output provides annual, long-term average, and 80% and 90% probablevalues for the days suitable each month. The model was verified to predict suitable day information similar to fieldobservations for recent years in northwestern Indiana and similar to long-term historical data for a few other locations acrossthe Midwest. The number of suitable days predicted each month was moderately sensitive to some soil characteristics andhighly sensitive to the tractability coefficients used to determine a suitable day. Recommended tractability coefficients weredeveloped for spring and fall operations on various soil textures. Usefulness of the model was further demonstrated bydetermining the 80% probable number of suitable days each month in central Michigan using conventional, mulch, and no-tillsystems on clay loam, loam, and sandy loam soils. Incorporation of the suitable day model into a whole-farm simulation modelprovides a useful research and teaching tool for studying the influence of weather on the days suitable for fieldwork, theperformance of field machinery operations, machinery effects and interactions with other parts of the farm, and the economicsof production systems.