Generalized Algorithm for Variable Rate Nitrogen Application on Cereal Grains John B. Solie, Regents Professor Biosystems and Agri. Engineering Dept. William.

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Generalized Algorithm for Variable Rate Nitrogen Application on Cereal Grains John B. Solie, Regents Professor Biosystems and Agri. Engineering Dept. William R. Raun, Regents Professor, Plant and Soil Sciences Department Dean Monroe, PhD, Formerly Biosystems and Agri. Engineering Department

Normalized Difference Vegetative Index - NDVI Calculated from the red and near-infrared bands Equivalent to a plant physical examination Correlated with: –Plant biomass –Crop yield –Plant nitrogen –Plant chlorophyll –Water stress –Plant diseases –Insect damage

OSU Original N Rate Algorithm Bill’s Postulates 1.Crop yield potential can be predicted from NDVI 2.A maximum potential yield exists that is a function of the weather and soil type 3.A fertilizer response index exists that defines the response to additional fertilizer and varies from year to year and site to site. 4.Response to N fertilizer is independent of potential yield. 5.YPN = f(YP0, RI) 1. Measure 2. Predict YP 0 3. Predict YP N

Agronomic Justification for Sigmoid Yield Model

Sigmoid Yield Model with Transitions How Do We Locate the “Curve?

Locate by 1) NDVINRICH and Max. Potential Yield 2) NDVI BareSoil and Zero Yield

Sigmoid Model Shift from Change in Growth Stage (Biomass) Maximum Potential Yield NRich NDVI

Unit Sigmoid Model Radius of Curvature

Potential Yield Calculations Variables & Parameters YPmax NDVI NRich NDVI FP RI NDVI = NDVI NRich/ NDVI FP Inf – Parameter Function of NDVI NRich “K” – Parameter Function of NDVI NRich

NRich Strip & Potential Yield NDVI NR ICH, NDVI FP NDVI BS : Sense NDVI from NRich strip and adjacent farmer practice strip in a portion of the field exhibiting the highest response to pre- plant fertilizer. Also collect NDVI measurement from bare soil. Calculate RI NDVI POTENTIAL YIELD: Field history, yield trend, farmer’s and agronomist’s knowledge, experience, and intuition, crop models, soils map, etc.

Inflection Point Location

Curvature “K”

OSU Algorithm Prediction of Yield Compared with Nonlinear Regression of Individual Data Sets

Fertilizer Application Rate

Field Test Results Dr. Bill Raun Eminent Professor and Regents Professor Oklahoma State University

Spread Sheet Macro for Calculating N Rate