South Dakota State University researchers are developing and field-testing for continuously variable-rate corn seeding prescriptions. The algorithm is based on five-year yield and rainfall data to map high and low average fields, and high and low yield variability for a field. It also takes into account seed costs, crop value, hybrid and other production factors such as expected rainfall.
Data: Kurtis Retisma, South Dakota State University Extension
1. Yield and precipitation
Five years of yield and rainfall data on a 150-acre continuous corn field.
2. Yield and variability
Data are used to map average yields and yield variability during a period of above-average rainfall. The map reveals areas of high and low average yield and high and low yield variability.
3. Yield response to plant population in varying yield environments
Yield responses from hundreds of plant population trials in low-, medium- and high-yielding environments are used to create an algorithm.
4. Variable rate seeding map
The algorithm generates a continuously variable seeding prescription for the field. The seeding Rx takes into account not only yield and variability, but also seed cost, crop value, hybrid and other production factors, such as expected rainfall.