Yield Forecast Center Predicts Corn Yields Well Below USDA-NASS Projections

September 22, 2016

Yield Forecast Center Predicts Corn Yields Well Below USDA-NASS Projections

By Gonzalo Rizzo - UNL Post-Doc Research Associate, Agronomy and Horticulture, Juan Ignacio Rattalino Edreira - Post-Doctoral Research Associate, Patricio Grassini - Professor of Agronomy and Horticulture, and Cropping Systems Specialist, Haishun Yang - UNL Associate Professor of Agronomy and Horticulture, Roger Elmore - Emeritus Extension Cropping Systems Agronomist, Keith Glewen - Extension Educator Emeritus, Jenny Rees - Extension Educator, Charles Shapiro - Extension Soil Scientist—Crop Nutrition, Jeff Coulter - Professor and Extension Specialist, University of Minnesota, Mark Licht - ISU Associate Professor, Extension Cropping System Specialist, Sotirios Archontoulis - ISU Professor, Cameron Pittelkow - UI Assistant Professor, Ignacio Ciampitti - KSU Cropping System Specialist, Ray Massey - University of Missouri Extension Professor, Peter Thomison - OSU Extension Specialist, Joe Lauer - UWM Professor, Sylvie Brouder - Purdue Professor of Agronomy, Chris Graham - SDSU Assistant Professor

Figure 1. Variation in kernel setting in corn in Iowa. (Photo by Mark Licht)

This is the last article in a series that summarizes the simulated crop stages and yield forecasts across the Corn Belt. To evaluate, in "real-time," the impact of this season’s weather on corn yield and its spatial variability across the Corn Belt, simulations of 2016 end-of-season corn yield and real-time crop stage were performed for 41 locations. The simulations were developed using the UNL Hybrid-Maize model in collaboration with faculty and extension educators from 10 universities.

Data for the Sept. 21 forecasts for actual and potential yields, as well as predicted dates for physiological maturity (“black layer”) are available. Previous corn yield forecasts for this year can be found here. Details on Hybrid-Maize and underpinning methodology to forecast end-of-season yields, as well as information on interpretation and uses of yield forecasts, are described in a previous article.

Chart showing factors affecting crop growth at each site
Figure 2. Stressed corn ears in northwestern Ohio. (Photo by P. Thomison).
Chart showing factors affecting crop growth at each site

Figure 3. Daily solar radiation, maximum and minimum air temperature (Tmax and Tmin), total rainfall, and total reference grass-based evapotranspiration (ET) from September 7 to September 21, 2016. Vertical bars indicate the range for these variables based on 20+ years of weather records. The horizontal thick line indicates the long-term average and the red dots indicate the 2016 values.

Physiological maturity (black layer) has been reached at all sites, except for western Nebraska (Alliance and North Platte), North Dakota, and Michigan. The crop season ended with above-average temperature across the entire region and above-average rainfall in the central and eastern regions of the Corn Belt. In general, crops did not experience a water deficit during the last phase of the grain-filling period. Weather conditions during the last two weeks are shown in Figure 3.

Irrigated Corn: Slightly Above-Average Yields

End-of-season forecasted irrigated yields are shown in Figure 4. Most sites exhibit yields near or slightly above average (from -2% to +9%), except for O’Neill (above average by 14%) and Beatrice (below average by 11%). Overall, regional irrigated yield is forecasted to be slightly above average (+5%). The two sites in western Nebraska where corn has not already matured (Alliance and North Platte) will exhibit yields above or near average depending upon temperature during next week.

Map indicating probability of yield deviation for irrigated corn Sept.  21

Figure 4. Forecasted end-of-season average rainfed and irrigated yield at each location (bushels per acre). Colors indicate that 2016 yield was below (≤10%, red), near (±10%, yellow), or above (>10%, green color) the long-term (2005-2014) average at each location. Corn has not reached maturity in western Nebraska (North Platte and Alliance), North Dakota (Dazey), and Michigan (Ceresco).

Probability of yield deviations for rainfed corn

Rainfed Corn: High Yield Variation Across Sites

Forecasted end-of-season yields for rainfed corn indicate near-average yield at 21 of 37 rainfed sites (Figure 4). These sites are located mainly in the southern and eastern regions of the Corn Belt and also in northwestern Iowa (Kanawha and Nashua), southeastern Minnesota (Waseca), and northern Illinois (Freeport). Above-average yields are expected for 11 of the rainfed locations: western and central Nebraska (North Platte, Holdrege, and McCook), central-east and northeastern Nebraska (Mead and Concord), southwestern Iowa, and northwestern Missouri (Lewis and St. Joseph), eastern North Dakota, western Minnesota (Dazey, Eldred, and Lamberton), and central Illinois (Peoria). In contrast, the forecasts indicate below-average yield at five sites: southeastern Nebraska (Clay Center and Beatrice), and across a southeast-northwest transect in Iowa (Crawfordsville, Ames, and Sutherland).

State-Level and Regional Forecasted Corn Yields

Our yield forecasts were upscaled to state level using the spatial framework of the Global Yield Gap Atlas, which is based on agro-climatic zones and distribution of corn harvested area. Forecasted yields for 2016, for each state and water regime, as well as for the entire region, are shown below. For comparison, we also show the average and highest corn yield reported by USDA-NASS for the last 10 years. Forecasted 2016 yields fall:

  • well above-average (10% or more) for rainfed corn in Nebraska and Minnesota;
  • above-average (from 3% to 9%) for rainfed corn in Illinois and Kansas, and irrigated corn in Nebraska and Kansas;
  • near-average for rainfed corn in Indiana and Missouri; and
  • below-average (from -3 to -4%) for rainfed corn in Iowa and Ohio.
Table 1. Forecasted corn yields for 2016 and the average corn yield reported by USDA-NASS for the last 10 years for each state and water regime.
State*Water regime

Forecasted 2016 yield
(bu/ac)**

Average (2006-2015) yield
(bu/ac)†

% deviation‡Previous record yield
(bu/ac)¶
Nebraska Irrigated 200 191 +5 207
Rainfed 151 126 +20 154
Kansas Irrigated 200 186 +8 206
Rainfed 99 93 +6 123
Iowa Rainfed 163 170 -4 192
Minnesota Rainfed 198 164 +21 188
Missouri Rainfed 137 135 +1 186
Illionois Rainfed 175 166 +5 200
Indiana Rainfed 154 156 -1 188
Ohio Rainfed 151 155 -3 176
Regional Average § Rainfed 169 161 +5 180

* North Dakota and Michigan were not included because we only forecasted yield for one site at each of these states. Note that uncertainty in Minnesota statewide yield is also higher due to the small number of sites for which corn yields were forecasted.
** Based on our median 2016 forecasted actual yield estimated for each location.
† State 10-year (2006-2015) average yield reported by USDA-NASS.
‡ Deviation of forecasted 2016 yield relative to average (2006-2015) yield.
¶ Highest statewide average yield reported by USDA NASS during the last 10 (2006-2015) years
§ Regional yield average, including both irrigated and rainfed crops, estimated based on the forecasted yields for the eight states listed above, weighted by their statewide corn harvested areas.

Conclusions

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In September USDA-NASS forecasted a record national corn yield of 174.4 bushels/acre for 2016. Our end-of season forecasts made on September 21 also suggest that average yield will be above average but, in contrast, our forecasts do not point to a record yield. Regional average yield, based on the eight states listed in Table 1, and including rainfed and irrigated corn, is forecasted to be 169 bushels/acre. This forecast is 5% above the historical (2006-2015) regional average yield but well below the historical yield record. Hence, our corn yield estimate is lower that the USDA-NASS forecasted yield. This may be explained by the approach followed in the Yield Forecast Center, based on robust simulation models that account for temperature effects, especially high night minimum temperature.

Note that these forecasts do not take into consideration problems with stand emergence, hail/flooding damage, replanting situations, disease, or nitrate leaching. Therefore, in fields negatively affected by these constraints, actual yields will be lower than estimates provided here. It is important to keep in mind that yield forecasts are not field specific and, instead, represent an estimate of average on-farm yield for a given location and surrounding area in absence of the yield-reducing factors mentioned here.

For more information contact Patricio Grassini at pgrassini2@unl.edu or 402-472-5554.


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