215-6 Using Optical Sensors to Determine Optimum Biomass Levels for Improving Grain Yield and Nitrogen Efficiency in Winter Wheat.
See more from this Division: ASA Section: Agronomic Production SystemsSee more from this Session: Technologies for Determining Nutrient Needs and Improving Nutrient Use Efficiency: Graduate Student Competition
A study was conducted from 2006 to 2014 to determine the optimum biomass levels for the various growing environments observed throughout Kansas. In order to quantitatively assess biomass levels, optical sensors were employed and the Normalized Difference Vegetation Index analyzed. This research has shown that improvements to grain yield and N efficiency can be made by producing wheat biomass levels that match the resource provisions of its growing environment. These results have been incorporated to the KSU winter wheat N recommendation algorithm to assist Kansas producers with assessing and optimizing biomass levels for their growing environment to increase grain yield, stability, and N efficiency.
See more from this Session: Technologies for Determining Nutrient Needs and Improving Nutrient Use Efficiency: Graduate Student Competition