To maximize the pay back from variable rate seeding, creation of accurate management zones are critical. Combining multiple layers of temporally stable data that accurately model in-field variability is an important first step. Combining these layers into one common productivity layer based on the soils overall ability to produce is a great way to accurately adjust populations. It is important to understand there is no clear linear relationship between population and yield. Local environmental conditions greatly impact what actually is the correct population. Populations set too high increase seed costs and also increase the risk of lodging and hence tremendous yield loss. Conversely, lower seeding rates will reduce costs, but may significantly cap yields in ideal growing conditions. The goal of variable rate seeding is to maximize yield on each productivity zone while reducing risk and expense of over seeding on lower producing soils. To truly fine tune seeding rates, it's important to implement flat rate in-field strip trials to compare the hybrid/population interaction. These strip plots should be scattered across several fields to model multiple environments. Precision ag technologies have significantly improved our ability to collect and analyze large amounts of data to make better decisions. Properly using these tools and technologies can greatly improve the likelihood of success.