Data is extremely important when making decisions for next season. Having a greater quantity of data gives you a better picture of true yield potential, and helps you account for variables other than the seed that may impact yield data. Here are a few helpful things to consider when interpreting yield data.
Evaluate multiple locations.
Weather, insect pressure, and soil fertility are just a few variables that can affect product performance across locations.
Evaluate multiple scenarios.
Field management can also affect product performance.
Seek head-to-head comparisons.
Compare each product to the nearest "check" product in close proximity to it.
Compare multiple plots.
When trying to determine if one product is superior to another, compare the products not just at one plot, but at many — you may find that one product consistently outperforms the other.
Identify differences not related to the seed.
Try to understand how much of the yield variations reported may be attributed to field factors not related to the seed choices.
Look for statistical differences.
Ensure that your results are unlikely to have occurred by chance and have a high probability of repeating themselves.
- Least Significant Difference (LSD) is a value used to determine if plot values are statistically different. Differences among products are significant only if they are equal to or greater than the LSD value.
- Coefficient of Variation (CV) is a value used to determine how reliable a data set may be.
View Local Yield Data
Local Yield Results displays harvest results and yield information for leading products. To see high-yielding products in your area, visit asgrowDEKALB.com/LocalYieldResults.