The optimal corn seeding rate is a management (M) variable that depends on the hybrid (genotype, G), and the interaction with the environment (E). Researchers termed this as the G x E x M interaction. To evaluate whether the corn seeding rate they have used was adequate, producers may look back to their corn crop from the previous growing season, or wait until the current growing season is nearly complete, also known as an ex-post approach. It is worth also considering additional M factors that are often overlooked such as planting date, nitrogen fertilization, row spacing, and crop rotation.
Although specific hybrids can respond differently, the following guidelines may help in deciding if the selected corn seeding rates need to be adjusted.
- Few kernels per ear: if more than about 5% of the plants are barren or if most ears have fewer than 250 kernels per ear, the corn seeding rate may be too high.
- Too many kernels per ear: if there are consistently more than 600 kernels per ear or if most plants have a second ear contributing significantly to grain yield, the corn seeding rate may be too low. Of course, the growing conditions will influence ear number and ear size as well, so it is important to factor in the growing conditions for that season when interpreting these plant responses.
- Tipping back: don’t be too concerned if a half-inch or so of the ear tip has no kernels. If kernels have formed to the tip of the ear, there may have been room in the field for more plants contributing to higher grain yield. Again, this "tipping back" will vary with the G x E x M interaction.
- Irrigation: optimal corn seeding rates may need to be adjusted if fertilizer or irrigation rates are significantly increased or decreased. For example, research at the Irrigation Experiment Field near Scandia (North Central) has shown that if fertilizer rates are increased, corn seeding rates also have to be increased to attain the maximum yield benefit.
- Nutrient status: in addition to the growing conditions, nutrient status can also influence the final number of grains per ear. For example, severe nitrogen (N) deficiency will have a high impact on the final number of grains, ear size, and ear number.
Keep in mind that the potential ear size and the potential number of kernels (1,000-1,200 per ear) are set before silking (R1), but the actual final number of kernels is not determined until after pollination and early grain fill (R2-R3) due to relative success of fertilization and degree of early abortion.
Always keep long-term weather conditions in mind. In a drought year, almost any corn seeding rate is too high for the available moisture in some areas. Although it’s not a good idea to make significant changes to seeding rates based only on what has happened recently, it is worthwhile taking into consideration how much moisture there is currently in the soil profile and the long-term forecasts for the upcoming growing season.
For this growing season, if you think weather conditions will be more favorable for corn this year than the past years, stay about in the middle to the upper part of the range of seeding rates in the table below. If not and you expect dry subsoils, you might want to consider going towards the lower end of the range of recommended seeding rates, with the warning that if growing conditions improve, you will have limited your top-end yield potential.
The recommended corn seeding rate and final plant population in the following tables attempt to factor in these types of questions for the typical corn growing environments found in Kansas. Adjust within the recommended ranges depending on the specific conditions you expect to face and the hybrid you plan to use. Of course, do not forget to consult seed company recommendations to determine if seeding rates for specific hybrids should be at the lower or upper end of the recommended ranges for a given environment.
Figure 1. Suggested dryland corn final populations and seeding rates. Map created by A. Correndo, K-State Research and Extension.
Table 1. Suggested irrigated corn final populations and seeding rates
|
Environment |
Hybrid Maturity |
Final Plant Population (plants per acre) |
Seeding Rate* (seeds per acre) |
|
Full irrigation |
Full-season |
28,000-34,000 |
33,000-40,000 |
|
Shorter-season |
30,000-36,000 |
35,000-42,500 |
|
|
Limited irrigation |
All |
24,000-28,000 |
28,000-33,000 |
* Assumes high germination and that 85 percent of seeds produce plants. Seeding rates can be reduced if field germination is expected to be more than 85%.
K-State research on corn seeding rates
An intensive review of a large database from Corteva Agriscience (2000-2014 period) was utilized to synthesize yield response to plant population under varying yield environments (<100 bu/acre to >200 bu/acre). Overall, yield response to plant population depended on the final yield environment (Figure 2). In yield environments below 100 bu/acre, yield response to plant population was slightly negative. Yield response to plant population tended to be flat when the yield environment ranged from 100 to 150 bu/acre; positive and quadratic with the yield environment improving from 150 to 180 bu/acre; and lastly, increasing almost linearly with increasing plant populations when the yield environment was more than 200 bu/acre (Figure 2).
Figure 2. Corn grain yield response to plant density in four yield environments, a) <100; b) 100-150; c) 150-180; and d) > 180-210 bu/acre (Assefa, Ciampitti et al., 2016, Crop Science Journal). Figure created by I.A. Ciampitti, K-State Research and Extension.
As a disclaimer, the “agronomically” optimum plant population does not always match with the “economically” optimal plant population. The final seeding rate depends on genetics (hybrid), the environment, and other production practices (e.g., planting date, crop rotation, tillage). Also, keep in mind the corn yield response to plant density curves are merely indicative as they represent simplified models that carry uncertainty (error).
Stay tuned to future eUpdate articles related to other relevant topics for the coming season.
Ignacio Ciampitti, Professor, Farming Systems
ciampitti@ksu.edu
Adrian Correndo, Post-Doc Fellow, Digital Agronomy
correndo@ksu.edu