DSpace
 

Researchspace >
General science, engineering & technology >
General science, engineering & technology >
General science, engineering & technology >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/4575

Title: Modelling nutrient concentration to determine the environmental factors influencing grass quality
Authors: Dudeni-Tlhone, N
Ramoelo, A
Cho, MA
Debba, P
Mathieu, R
Keywords: Nitrogen
Regression
Grass quality
Environmental factors
Spatial regression
Grazing animals
SASA 2010
Issue Date: Oct-2010
Citation: Dudeni-Tlhone, N, Ramoelo, A, Cho, MA et al. 2010. Modelling nutrient concentration to determine the environmental factors influencing grass quality. Proceedings of the 52nd Annual Conference of the South Statistical Association for 2010 (SASA 2010), North-West University: Potchefstroom Campus, 10-12 November 2010, pp 7
Series/Report no.: Conference Paper
Abstract: This paper uses the spatial and the least squares (Analysis of Covariance-ANCOVA) regression methods to evaluate the important environmental factors in estimating quality grass for grazing (based on the nitrogen (N) content in grass). The environmental variables such as those based on climate (temperature and precipitation), land-use, geology, slope, aspect and altitude were specifically evaluated in these models. Spatial regression accounted for higher variability (61%) when compared to the 41% variability explained by the ANCOVA model. The models indicate that some environmental variables are useful in assessing N variability. This provides an opportunity for the design of an intergraded system to incorporate both the environmental and remote sensing variables in the estimation and mapping of nitrogen content in grazing grass across the Kruger National Park (KNP) and the surrounding areas.
Description: Proceedings of the 52nd Annual Conference of the South Statistical Association for 2010 (SASA 2010), North-West University: Potchefstroom Campus, 10-12 November 2010
URI: http://hdl.handle.net/10204/4575
ISBN: 978-0-620-48-708-5
Appears in Collections:Environmental management
Logistics and quantitative methods
General science, engineering & technology

Files in This Item:

File Description SizeFormat
Dudeni-Tlhone_2010.pdf268.77 kBAdobe PDFView/Open
View Statistics

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! DSpace Software Copyright © 2002-2010  Duraspace - Feedback