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Indirect Estimates of Soil Electrical Conductivity for Improved Prediction of Wheat Grain Yield

Abstract A system of midseason prediction of winter wheat grain yield based on sensed plant growth properties has been established. However, little research has been conducted to determine the relationship of grain yield, sensed plant data, and soil electrical conductivity (EC). This study was carried out to determine if soil EC could be useful in better predicting wheat grain yield. During 2001 and 2002, measurements of soil EC, normalized difference vegetative index (NDVI), and grain yield were taken on five long-term soil fertility experiments across Oklahoma. Results indicated that soil EC was not better than mid-season NDVI readings at predicting grain yield at any location or year. A combination of soil EC and NDVI was also less correlated with grain yield than NDVI alone. This study showed that pseudostatic soil EC measurements did not improve upon the in-season prediction of winter wheat grain yields that could be successfully accomplished by using NDVI alone.