Dissertation/Thesis Abstract

Multi-Platform Comparison of Canopy Reflectance on Corn Whole Plant and Leaf Tissue Nitrogen Status
by Sumner, Zachary Thomas, M.S., Mississippi State University, 2019, 130; 27664245
Abstract (Summary)

Single-rate blanket application of fertilizer nitrogen (N) can result in an over or under application. Variable rate (VR) applications tailored to actual crop demands can improve N use efficiency in spatially variable soils. The objective of this study was to compare and improve relationships derived between corn canopy reflectance and corn N status acquired with two sensing platforms. Four fertilizer N rates were used, from deficient to excess, to create varying corn N status. Sensing and biophysical sampling was taken throughout the season for analysis and comparison to calculated vegetation indices (VIs). Results show strong relationships between VIs and corn N concentration and the strongest found using combined indices that incorporate the red-edge wavelength (720 nm). Relationships strengthened at latter growth stages. Results and models from this study demonstrate the utility of using remote sensing technologies to more accurately predict corn N status for eventual use in VR prescription development.

Indexing (document details)
Advisor: Varco, Jac J.
Commitee: Fox, Amelia Ann Amy, Henry, W. Brien, Cox, Michael S.
School: Mississippi State University
Department: Plant and Soil Sciences
School Location: United States -- Mississippi
Source: MAI 81/7(E), Masters Abstracts International
Source Type: DISSERTATION
Subjects: Agronomy
Keywords: Canopy reflectance, Corn, Nitrogen, Remote sensing, Variable rate, Vegetation index
Publication Number: 27664245
ISBN: 9781392510926
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