If you're racing to beat a rain cloud or just to get a field done, there can be a penalty with certain planters if you kick up the throttle too much or gear up too far. The Precision Planting and Indiana Prairie Farmer study conducted at the Throckmorton Research Center near Romney last summer indicates a penalty for pushing driving speed too far while planting. The Throckmorton farm is part of the Purdue University system of farms.
In 2010 trials in a similar experiment, 6 miles per hour was the fastest speed. There wasn't a clear difference between 5 and 6 miles per hour. However, this year the plot organizers included 7 miles per hour, along with 4, 5 and 6 miles per hour. Planter operator Pete Illingsworth, watching a Precision Planting 20/20 Seed Sense monitor, knew 7 miles per hour was pushing his John Deere vacuum planter too far,
Once it goes beyond a certain part, the singulation, or placing of each individual kernel, becomes erratic, and it shows on the monitor. He notes. The percent of perfect singulation drops rapidly. It drops some at 6 miles per hour vs. five miles per hour, but is pronounced as you move above 5 miles per hour, he says. Using the monitor helped him think differently about what factors could affect seed placement, because he could see immediately if a change affected the singulation of the seed going in to the row.
The higher the standard deviation, the more erratic the plant spacing. It is based on measurements taken between stalks over a specified distance. A standard deviation of 2.0 is about the best you can expect, although in this study, the standard deviation was less than two in some individual runs of certain treatments. Seven miles per hour showed up with a higher standard deviation which was significant compared to four miles per hour, and a lower yield, which was almost, but not quite, significant at an LSD of 0.10.Significant refers to whether you could expect the same result if repeating the experiment. The LSD factor refers to the variability in the experiment. The higher the variability, the larger the difference it takes in results for something to be declared significant. If it's not significant. Tin theory the difference could be due to experimental error rather than the treatment.