2014 Forecasted Corn Yields Based on Aug. 30 Hybrid-Maize Model Simulations

2014 Forecasted Corn Yields Based on Aug. 30 Hybrid-Maize Model Simulations

Locations of Hybrid Maize Model Models
Figure 1. Hybrid-Maize Model locations.
Aug. 30 Yield Forecasts:

Interpreting the Yield Forecasts

When the range of possible (i.e., simulated) end-of-season yield potential for the current year is compared to the long-term average yield potential (Long-term Yp, third column from left in Tables 2 and 3), it is possible to estimate the likelihood for below-average (75%), average (median, 50%), or above-average (25%) yields.

Comparing estimated 2014 median Yp versus the long-term Yp gives the yield difference from the mean. Minus ("-") and plus ("+") signs next to the median Yp forecast (fourth column from right) indicate that median Yp forecast is well below (i.e., <-10%) the long-term Yp (minus sign) or well above (>10%) the long-term Yp (plus sign). At a given site, the 75% scenario is most likely if weather conditions are harsher than normal (for example, dry weather or early killing frost) from Aug 30 until crop maturity, whereas the 25% scenario could occur if weather is more favorable (adequate rainfall, no late-season frost) than is typical for this period. Therefore, for a given location, there is a 50% probability that end-of-season yield potential will fall between the 75% and 25% scenarios.

Another way to interpret these odds is to note that end-of-season yield is likely to be above-average when the 75% scenario is higher than the long-term Yp. In contrast, below-average end-of-season yield is likely when the 25% yield scenario is lower than the long-term Yp. As the season progresses, the range of yield outcomes will shrink as the estimated yield levels for the 75% and 25% scenarios converge towards the median value. The change in median Yp since the last Aug 15 forecast) is shown to understand how weather has affected Yp during the last two weeks (second column from right).

Finally, the probability of an early killing-frost during grain fill is shown in the last column, based on the approximate date when 50% of the corn area was planted and dominant hybrid maturity at each location. (See Table 1.) Frost probability will be higher in fields planted later or with hybrids with longer maturity. Note that yield loss from an early-killing frost depends on how late during the grain-filling period the frost occurs. If the frost occurs a day or two before the crop reaches black layer, there would be relatively little yield loss whereas if frost occurs a week or more before black layer, the yield loss would be much larger.

So, how reliable are Hybrid-Maize forecasts? In well-managed, timely planted fields that have good crop establishment and have not been damaged by hail, flooding, diseases, weeds, and insect pests, past experience indicates that estimates of yield potential using Hybrid-Maize are robust. In fields with poor establishment, high disease or pest pressure, or those affected by hail or flooding, as well as in fields replanted late due to devastating storm damage (as is the case in many fields in south central and eastern Nebraska this year), we expect Hybrid-Maize yield forecasts to be considerably higher than actual yields from such fields. Likewise, the model will tend to overestimate yields in crops that suffered large kernel abortion due to severe heat and water stress during pollination.

Sept. 5, 2014

Grain filling is in full swing throughout Nebraska and the Corn Belt and black layer has been reached at some locations in southern Kansas. Since the last corn yield forecast two weeks ago, temperatures have been relatively warmer and rainfall has been relatively good across Nebraska and the rest of the Corn Belt. To evaluate, in "real-time" fashion, the impact of this season's weather on corn yield potential, and its spatial variability across the Corn Belt, 2014 end-of-season corn yield potential was simulated Aug. 30 using the Hybrid-Maize model for 25 locations (Figure 1). (See details about Hybrid-Maize and its underpinning methodology to forecast end-of-season yields.)

The Hybrid-Maize model simulates daily corn growth and development and final grain yield under irrigated and dryland conditions. The model estimates "yield potential," which is the yield obtained when the crop is not limited by nutrient supply, diseases, insect pressure, or weed competition—conditions that represent an "optimal management" scenario. It also assumes a uniform plant stand at the specified plant population, and no problems from flooding or hail. Because weather and management factors are "location-specific," Hybrid-Maize simulations are based on actual weather data and typical management practices at the location being simulated as provided by extension educators in each state. (See contributors and site information, Table 1.)

Irrigated and dryland yield forecasts as of Aug. 30 are shown in Table 2 and Table 3. Median irrigated yield forecast is within ±10% of long-term average in Nebraska, except at Clay Center (+11%). There has been little change (≤3%) in yield potential forecasts since Aug 15, but now there is a 75% probability of above-average irrigated yields at all sites in Nebraska but one (North Platte). Simulations indicate that corn has reached maturity in Kansas (though, in reality, it is likely that some of the longer maturities planted in northeast Kansas will continue filling grain for a week or so) with simulated yield 10% to 25% higher than the long-term median at all sites.

For dryland yields, there has been little change since the Aug. 15 forecasts, except for a +23% increase at Clay Center due to good rains the past two weeks (4 inches) and a -11% decrease at Custar, Ohio due to a dry spell. Simulated dryland yield in Kansas, where corn has already reached maturity, is 7% to 29% higher than the long-term median. In the rest of the dryland sites, median dryland yield forecast is near (35% of the sites) or well above the long-term average (65% of the sites), with a high probability of above-average yield at 82% of the dryland sites. Late planting in 2014 has resulted in a high probability of early-killing frost during grain fill in the northern edge of the Corn Belt (Wisconsin and northern Nebraska, Iowa, Illinois, and Ohio), partly offsetting the positive impact of above-average rainfall and cooler temperatures on dryland and irrigated yields in the current season.

Warmer temperatures the last two weeks have hastened crop development at most locations and slightly reduced the impact of an early-killing frost, as compared with the Aug. 15 forecast. Ultimately, the timing of the early-killing frost will determine the impact on yield. It is likely that at most locations an early-killing frost will occur late in the grain-filling period will have a relatively small impact on yield, but there is still a chance of substantially lower yields if frost occurs early, especially at northern locations. It should be noted that there are other negative impacts on an early-killing frost besides yield reduction such as low test weight, high moisture content, increasing drying cost, and combine losses due to stalk breakage and diseases. Also, excessive soil moisture at some locations, coupled with greater incidence of diseases, might have negatively impacted yield (or it will if wet weather persists the remaining of the season). (Also see Late-Season Flooding Effects on Corn; Stem and Root Rots in Soybeans; Flooded Fields and Diseases to Expect in Corn.)

Conclusions

Dryland and irrigated yields are likely to be well above average at a majority of sites. These forecasts do not take into consideration problems with stand emergence due to residue, hail/flooding damage, replanting situations, disease, or nitrogen leaching. While the risk of an early-killing frost is high at northern locations in the Corn Belt, the projected yield impact has diminished during the last two weeks due to warmer temperatures. We will follow-up with further forecasts in September.

Patricio Grassini, UNL Assistant Professor of Agronomy and Horticulture, Extension Cropping System Specialist and Robert B. Daugherty Water for Food Institute Fellow
Francisco Morell, UNL Post Doctoral Research Associate
Haishun Yang, UNL Associate Professor of Agronomy and Horticulture and Robert B. Daugherty Water for Food Institute Fellow
Roger Elmore, UNL Professor of Agronomy and Horticulture, Extension Cropping System Specialist and Robert B. Daugherty Water for Food Institute Fellow
Ken Cassman, UNL Professor of Agronomy and Horticulture and Robert B. Daugherty Water for Food Institute Fellow
Jenny Rees, UNL Extension Educator
Charles Shapiro, UNL Extension Soils Specialist  and Professor of Agronomy and Horticulture
Keith Glewen, UNL Extension Educator
Greg Kruger, UNL Assistant Professor of Agronomy and Horticulture and UNL Extension Cropping System Specialist
Mark Licht, Extension Cropping System Agronomist, Iowa State University
Ignacio Ciampitti, Crop Production and Cropping System Specialist and Assistant Professor of Agronomy, Kansas State University
Peter Thomison, Extension Specialist and Professor, Ohio State University
Joe Lauer, Professor, University of Wisconsin-Madison