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At F.I.R.S.T. Seed Tests, we're happy to provide the following questions and answers about our seed testing. For information specific to crop type, also check out our Corn Grain, Corn Silage and Soybean testing pages where you'll find even more detail. If you have a question that isn't covered, please don't hesitate to contact us.
Are different products tested at each site in a region?
No. Within a region, all locations include the exact same seed products. This approach provides valid apples to apples comparisons in our Performance (regional) Summary.
Where can I find a list of ALL products included in F.I.R.S.T. tests?
From any page on our web site, hover over “2012 Reports” in the menu at the top of the page. Click on Corn Grain, Corn Silage, or Soybean to access that page of reports. Find the region you want and click “Products Tested” for that region. A file will open revealing the products tested at all locations in that region. The same products are tested at all locations in that region.
How many replications are at each site, and across a region? Why is this important?
For all corn and soybean tests, each product is replicated (reps) 3 times per location. The exact same corn seed products are replicated 18 times within a region (6 locations x 3 reps/location) and soybean products are replicated 12 times within a region (4 locations x 3 reps/location). Replications are important to get a true picture of the yield potential for a product. The more replications we test, the better our chance of determining the true yield potential of a product.
Does F.I.R.S.T. use small plots?
We use small plot research techniques. All F.I.R.S.T. test plots are a minimum of 10 ft wide and 40 ft long.
My seed company has said small plots do not provide true yield results. Why does F.I.R.S.T. use small plot research?
Every issue has 2 sides and this is no different. Every commercial seed product was developed using small plot results. Since corn and soybean yields continue to improve, small plot results must work. F.I.R.S.T. seed testing tries to show the relative yield difference across a large number of products. For this approach, small plot research works well. Our field managers utilize techniques to minimize factors that limit maximum yield potential associated with small plots. Larger strip plots can deliver a better indication of maximum yield potential. However, this approach can only compare a small number of products uniformly, especially in areas with variable soil types. Since producers like the fact that our tests compare many products, we feel small plot testing provides the best solutions for our customers.
What is Gross Income, and how should I use this information?
Gross Income is the dollar value of the grain less drying costs to reach 15% grain moisture. If you desire high moisture corn grain for feed, Gross Income is irrelevant to you. However, if you are selling or storing low moisture corn, you should select products with the highest gross income to maximize profit potential. For example, hybrid A yields 200 bu/acre at 25% moisture and $550/acre gross income; hybrid B yields 185 bu/acre at 15% moisture and $555/acre gross income, despite having lower yield, hybrid B is a more profitable choice due to having drier grain than hybrid A.
How does F.I.R.S.T. determine the Top 30 corn products?
All corn product results are first sorted from high to low based on Gross Income. Products are assigned a rank (1 = highest) for Gross Income. All information for the Top 30 Gross Income corn products are then sorted by Grain Yield from high to low and presented in tabular form.
Why do corn brands with yields greater than those in the Top 30 not make the list?
Corn data tables include only the Top 30 Gross Income products. Frequently there are higher yielding products with higher grain moisture and lower Gross Income that fall just outside of the Top 30. These products may miss the Top 30 at a single location but may reappear in the Performance (Regional) Summary.
Why are only the Top 30 products shown in your data tables?
All growers strive to produce above average crop yields by selecting the top producing products for their geography. By presenting only the Top 30 performers, we help narrow the focus to only the best products in that test. Growers need to select products that consistently deliver above average performance across a broad variety of conditions. The Top 30 products in our Performance (Regional) Summaries provide the greatest potential to deliver consistent above average performance and maximum gross income.
What parameters are considered in F.I.R.S.T. grain yield calculations?
Corn grain bushel/acre calculations adjust to 15% moisture and 56 lb corn/bushel, typical commercial standards. In addition, corn is adjusted for shrinkage due to moisture and invisible loss. Soybean grain yield is adjusted to 13% moisture and 60 lb soybean/bushel. Grain shrinkage is not factored into our soybean yield calculations since they are below 13% moisture at harvest.
Your grain shrinkage factor is much higher than what my grain elevator uses. How is your factor derived?
There are 2 shrink factors that grain merchants may consider when buying grain, moisture shrink and invisible (handling) shrink. Many grain merchant only deduct for moisture shrink to account for water weight lost from drying. Other merchants additionally consider invisible shrink, losses for broken kernels, foreign matter, volatile compounds or oils lost in the drying process. F.I.R.S.T. has chosen to use a Constant Shrink Factor (aka pencil shrink) which pools both moisture and invisible shrink into one factor (1.3 to 1.4 typically) for our calculations. Commercially, it is not unusual for the Constant Shrink Factor to range from 1.2 to 1.5% per point.
What is that LSD (0.10) value in your tables?
Least Significant Difference (LSD) is a statistically derived value that is used to show that 2 products are truly different based on yield. If the yield difference between 2 products is greater than or equal to the LSD value, a person can claim one product is statistically different than the other.For example, Hybrid A and Hybrid B yield 200 and 190 bu/A, respectively, LSD = 5. Hybrid A is statistically different than Hybrid B because their yield difference of 10 bu (200-190) is greater or equal to the LSD value 5 bu/A.
In your corn data tables, why are the results occasionally italicized?
It is well documented that later maturing corn products typically have greater yield potential than early season products. F.I.R.S.T. insists that all products in a test fall within a defined maturity range for valid comparisons. Using statistical analysis of grain moisture, we can identify products that lie outside of the defined maturity range for the trial. Those outlier product results are italicized so readers realize this product may have an unfair yield advantage by exceeding the maturity limit.
My favorite seed company's products are not included in your tests. Why is that?
With the exception of check products, neither F.I.R.S.T. managers nor host farmers choose the products entered in our tests. Seed companies do. Corporate culture or perceived value of F.I.R.S.T. results weigh heavily in the business decision whether or not to participate in F.I.R.S.T. trials. If you value F.I.R.S.T. results and key companies are not participating, express your concerns to the seed company.
What things can I learn by comparing the check hybrids between early and full season tests at each site and across the region?
At F.I.R.S.T. test locations with multiple tests, the early and full season tests are positioned adjacent to each other. Despite the proximity, variations in soil, fertility, and moisture will create yield differences between tests. To measure this difference, an identical “Check” hybrid is included in both tests. This yield difference is useful for comparing products across the Early and Full Season tests. For example, if the Full Season check has a 3 bu/acre advantage over the Early Season check, add 3 bu/acre to an Early Season test product yield when comparing to Full Season test product.PLEASE NOTE - This practice is not statistically valid and should only be used as a performance indicator.
I'm interested in yields of test plots that are close to me. Why should I look at performance across multiple sites?
Yield results from local sources demonstrate product performance for the growing conditions within that area. However, it is unlikely you will have the same growing conditions next year, likely impacting product performance. Yield results from multiple locations across a wide geography demonstrate product performance under a diverse range of growing conditions. Choosing a product that consistently delivers above average performance across a wide geography will improve your odds of obtaining excellent yields when growing conditions vary from year to year.