University of Nevada, Las Vegas
Spectral analysis of hybrid bermudagrass placed under various combinations of nitrogen and water availability
Abstract
dc:description.abstractRemote sensing technology that uses a movable ground-based system has promise for rapid, accurate and objective evaluation of turfgrass quality for instantaneous nitrogen and water application correction. Such a test has been made on hybrid bermudagrass 'Tifway' [ Cynodon dactylon (L.) Pers. x C. transvaalensis Burtt-Davy] through a 2-year field study at the Center for Urban Water Conservation in the city of North Las Vegas. Ten combinations of water and nitrogen treatments including cyclic and steady conditions were imposed on twenty experimental plots, with two replications per treatment. Treatments consisted of five N treatments: High Steady Nitrogen (HSN), Low Steady Nitrogen (LSN), High Pulse Nitrogen (HPN), Low Pulse Nitrogen (LPN), High Incremental Nitrogen (HIN), Low Incremental Nitrogen (LIN); and three water treatments based on leaching fractions: Low Leaching Fraction (LLF = -0.15), High Leaching Fraction (HLF = +0.15), Low to High Leaching Fraction (LHLF ranging from -0.25 to +0.25) all combined with N treatments in ten different combinations. Canopy spectral reflectance measurements were acquired on a biweekly basis. (Abstract shortened by UMI.).
Degree
thesis:*- Name thesis:degree_name
- Master of Science (MS)
- Level thesis:degree_level
- Thesis
- Discipline thesis:degree_discipline
- Biological Science
- Grantor dc:publisher
- University of Nevada, Las Vegas
- Year
- 2003
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Baghzouz, Malika
- Contributors dc:contributor
-
- Dale Devitt
Rights
dc:rights- Statement dc:rights
-
- IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/
- Language dc:language
- English
Identifiers
dc:identifier.*- Identifier
- https://oasis.library.unlv.edu/rtds/1617
- OAI identifier oai:identifier
- oai:oasis.library.unlv.edu:rtds-2616