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An integrated approach for predictin...

Fox, Amelia Ann Amy.

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An integrated approach for predicting nitrogen status in early cotton and corn.

Record Type:	Electronic resources : Monograph/item
Title/Author:	An integrated approach for predicting nitrogen status in early cotton and corn./
Author:	Fox, Amelia Ann Amy.
Description:	278 p.
Notes:	Source: Dissertation Abstracts International, Volume: 76-09(E), Section: B.
Contained By:	Dissertation Abstracts International76-09B(E).
Subject:	Agronomy. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3700088
ISBN:	9781321699395

An integrated approach for predicting nitrogen status in early cotton and corn.
Fox, Amelia Ann Amy.

An integrated approach for predicting nitrogen status in early cotton and corn. - 278 p.

Source: Dissertation Abstracts International, Volume: 76-09(E), Section: B.

Thesis (Ph.D.)--Mississippi State University, 2015.

Cotton (Gossypium hirsutum L.) and corn (Zea mays L.) spectral reflectance holds promise for deriving variable rate N (VRN) treatments calibrated with red-edge inflection (REI) type vegetation indices (VIs). The objectives of this study were to define the relationships between two commercially available sensors and the suitable VIs used to predict N status. Field trials were conducted during the 2012--2013 growing seasons using fixed and variable N rates in cotton ranging from 33.6-134.4 kg N ha-1 and fixed N rates in corn ranging from 0.0 to 268.8 kg N ha-1. Leaf N concentration, SPAD chlorophyll and crop yield were analyzed for their relation to fertilizer N treatment. Sensor effects were significant and red-edge VIs most strongly correlated to N status. A theoretical ENDVI index was derived from the research dataset as an improvement and alternative to the Guyot's Red Edge Inflection and Simplified Canopy Chlorophyll Content Index (SCCCI).

ISBN: 9781321699395Subjects--Topical Terms:

2122783
Agronomy.

An integrated approach for predicting nitrogen status in early cotton and corn.
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500 $a Adviser: Jac J. Varco.
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520 $a Cotton (Gossypium hirsutum L.) and corn (Zea mays L.) spectral reflectance holds promise for deriving variable rate N (VRN) treatments calibrated with red-edge inflection (REI) type vegetation indices (VIs). The objectives of this study were to define the relationships between two commercially available sensors and the suitable VIs used to predict N status. Field trials were conducted during the 2012--2013 growing seasons using fixed and variable N rates in cotton ranging from 33.6-134.4 kg N ha-1 and fixed N rates in corn ranging from 0.0 to 268.8 kg N ha-1. Leaf N concentration, SPAD chlorophyll and crop yield were analyzed for their relation to fertilizer N treatment. Sensor effects were significant and red-edge VIs most strongly correlated to N status. A theoretical ENDVI index was derived from the research dataset as an improvement and alternative to the Guyot's Red Edge Inflection and Simplified Canopy Chlorophyll Content Index (SCCCI).
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