UNL Corn Yield Model Verifies as Reliable Larger Scale Predictor
June 13, 2016
Collecting basic agricultural data from a mere 45 sites can provide enough predictive power to reasonably estimate crop yields within a 10-state swath of the U.S. Corn Belt, says a new study led by the University of Nebraska-Lincoln. The study compared actual corn production from 2011 through 2014 against best-case projections from the UNL Hybrid-Maize model that accounts for weather, soil properties and planting practices.
2015 End-of-Season Corn Yields Based on Hybrid Maize Model Simulations
Oct. 9, 2015
Figure 1. Locations used to simulate 2015 forecasted corn yields using Hybrid Maize.
The Corn Yield Forecasting Center: Approach and Interpretation of Results
A Yield Forecasting Center (YFC) has been established at UNL in collaboration with agronomists and extension educators from universities throughout the Corn Belt.