Mid-Season Prediction of Wheat-Grain Yield Potential Using Plant, Soil, and Sensor Measurements

ABSTRACT

The components that define cereal-grain yield potential have not been well defined. The objective of this study was to collect many differing biological measurements from a long-term winter wheat (Triticum aestivum L.) study in an attempt to better define yield potential. Four treatments were sampled that annually received 0, 45, 90, and 135 kg N ha⁻¹ at fixed rates of phosphorus (P) (30 kg ha⁻¹) and potassium (K) (37 kg ha⁻¹). Mid-season measurements of leaf color, chlorophyll, normalized difference vegetative index (NDVI), plant height, canopy temperature, tiller density, plant density, soil moisture, soil NH₄-N, NO₃-N, organic carbon (C), total nitrogen (N), pH, and N mineralization potential were collected. In addition, soil texture and bulk density were determined to characterize each plot. Correlations and multiple linear-regression analyses were used to determine those variables that can predict final winter wheat grain yield. Both the correlation and regression analyses suggested mid-season NDVI, chlorophyll content, plant height, and total N uptake to be good predictors of final winter wheat grain yield.

Keywords:

• NDVI
• sensor
• indirect measures
• yield goal
• yield prediction
• yield potential
• corn

ACKNOWLEDGMENTS

Contribution from the Oklahoma Agricultural Experiment Station.