Crop-water stress index models for cool season turfgrasses
type: CreativeWork
description: Crop Water Stress Index (CWSI) technology has shown potential in improving irrigation timing as it determines timing based on the plant's need. Research was conducted to better apply this technology to turf management. The objectives of this study were (i) to determine the complexity of model needed to accurately calculate the CWSI, (ii) to determine if a single model is appropriate across both Kentucky bluegrass (Poa pratensis L.) (KB) and creeping bentgrass (Agrostis palustris Huds.) (CB), and (iii) to evaluate the performance of CB when managed under different CWSI models.
abstract: Crop Water Stress Index (CWSI) technology has shown potential in improving irrigation timing as it determines timing based on the plant's need. Research was conducted to better apply this technology to turf management. The objectives of this study were (i) to determine the complexity of model needed to accurately calculate the CWSI, (ii) to determine if a single model is appropriate across both Kentucky bluegrass (Poa pratensis L.) (KB) and creeping bentgrass (Agrostis palustris Huds.) (CB), and (iii) to evaluate the performance of CB when managed under different CWSI models.
author: Martin, Dennis Loren
language: eng
keywords: Agriculture, Agronomy, Engineering, Agricultural
date published: 2011-05-07T13:53:04Z
date modified: 2026-07-22T22:25:20Z
provider: University of Illinois - Urbana-Champaign
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: University of Illinois at Urbana-Champaign

PropertyValue
property ID: Handle
value: http://hdl.handle.net/2142/22835