Open AccessAn Improved User Interface to Identify Sustainable Turfgrasses within National Turfgrass Evaluation Program Data
Author(s) -
Morris Kevin N.,
Kne Len,
Graham Steve,
Qu Yuanshuo
Publication year - 2022
Publication title -
international turfgrass society research journal
Language(s) - English
Resource type - Journals
ISSN - 2573-1513
DOI - 10.1002/its2.127
Subject(s) - identification (biology) , selection (genetic algorithm) , environmental resource management , computer science , environmental science , ecology , biology , artificial intelligence
For over forty years, the National Turfgrass Evaluation Program (NTEP) has coordinated trials and collected data on turfgrass traits from multiple species and sites across the U.S. and Canada. These trials are used worldwide for turfgrass cultivar improvement, sales and selection by everyone from researchers to turfgrass professionals to hobbyist turfgrass managers. However, using the NTEP web site ( www.ntep.org ), consisting of static, PDF or HTML‐based tables to select grasses does not allow for customized results based on geography, specific site conditions or management levels. Therefore, the identification of sustainable turfgrasses within NTEP data is currently difficult and in need of improvement.