Featured Research

from universities, journals, and other organizations

Better Golf Course Chemical Management Possible With "KTURF" Website

Date:
August 28, 1998
Source:
Kansas State University
Summary:
A website at Kansas State University may turn out to be a hot link for golf course managers. KTURF is an advanced computer program designed to predict pesticide and nitrogen leaching in the upper 20 inches of turfgrass given the soil conditions and watering regime of a particular course.

MANHATTAN, Kan.--A website at Kansas State University may turn out to be a hot link for golf course managers.

KTURF is an advanced computer program designed to predict pesticide and nitrogen leaching in the upper 20 inches of turfgrass given the soil conditions and watering regime of a particular course.

KSU civil engineer Steven K. Starrett and electrical and computer engineer Shelli K. Starrett developed the program and placed it on the internet at http://www.eece.ksu.edu/~starret/KTURF/.

Steven Starrett will describe KTURF at the annual meeting of the American Chemical Society in Boston. He will speak at 1:30 p.m. Wednesday, Aug. 26, at the Marriott Copley Place. The paper, "KTURF: Pesticide and nitrogen leaching model," is part of a special symposium on the fate of turfgrass chemicals and pesticide management approaches, sponsored by the agrochemicals division.

On average, KTURF's predictions are within 4 percent of testing case values, Starrett said. That is, when presented with data about a setting it has never seen before, the model's estimates are close to the measured values, so it looks like a feasible modeling technique, he said. It would be useful as a screening tool for golf course turf managers.

"New golf courses are being built at the rate of 400 a year in the United States," he said.

Starrett created KTURF using research data from soil columns he collected as part of his doctoral program at Iowa State University. The Starretts used a commercially available artificial neural network toolbox to begin developing the KTURF predictive models. They entered data on soil characteristics, pesticide or nitrogen characteristics, and irrigation or precipitation conditions, and the percentages of compounds leached.

Artificial neural networks "learn" relationships that exist between input and output data, Starrett explained. They develop, without bias or guidance from the programmer, the mapping scheme between inputs and reported output. The traditional method of creating a predictive model required the modeler to develop the relationships, sometimes biasing the model.

Growing public concern about drinking water quality has forced the turfgrass industry to work toward reducing the amount of chemicals that leach down to and contaminate local groundwater supplies.

Starrett said that in 1982, course managers used more than 5.4 million kg of pesticides and nitrogen for turf maintenance. Until fairly recently, the managers could not tell how much of which chemicals they applied had leached below the turf root zone.

Starrett's graduate research was supported by the green section of the United States Golf Association. He now has a five-year $118,000 grant from them to investigate nutrient runoff from a new championship golf course, Colbert Hills, being developed in Manhattan, Kan.


Story Source:

The above story is based on materials provided by Kansas State University. Note: Materials may be edited for content and length.


Cite This Page:

Kansas State University. "Better Golf Course Chemical Management Possible With "KTURF" Website." ScienceDaily. ScienceDaily, 28 August 1998. <www.sciencedaily.com/releases/1998/08/980828072949.htm>.
Kansas State University. (1998, August 28). Better Golf Course Chemical Management Possible With "KTURF" Website. ScienceDaily. Retrieved October 23, 2014 from www.sciencedaily.com/releases/1998/08/980828072949.htm
Kansas State University. "Better Golf Course Chemical Management Possible With "KTURF" Website." ScienceDaily. www.sciencedaily.com/releases/1998/08/980828072949.htm (accessed October 23, 2014).

Share This



More Plants & Animals News

Thursday, October 23, 2014

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

Working Mother DIY: Pumpkin Pom-Pom

Working Mother DIY: Pumpkin Pom-Pom

Working Mother (Oct. 22, 2014) How to make a pumpkin pom-pom. Video provided by Working Mother
Powered by NewsLook.com
San Diego Zoo's White Rhinos Provide Hope for the Critically Endangered Species

San Diego Zoo's White Rhinos Provide Hope for the Critically Endangered Species

Reuters - Light News Video Online (Oct. 22, 2014) The pair of rare white northern rhinos bring hope for their species as only six remain in the world. Elly Park reports. Video provided by Reuters
Powered by NewsLook.com
Raw: Bear Cub Strolls Through Oregon Drug Store

Raw: Bear Cub Strolls Through Oregon Drug Store

AP (Oct. 22, 2014) Shoppers at an Oregon drug store were surprised by a bear cub scurrying down the aisles this past weekend. (Oct. 22) Video provided by AP
Powered by NewsLook.com
Family Pleads for Pet Pig to Stay at Home

Family Pleads for Pet Pig to Stay at Home

AP (Oct. 22, 2014) The Johnson family lost their battle with the Chesterfield County, Virginia Planning Commission to allow Tucker, their pet pig, to stay in their home, but refuse to let the board keep Tucker away. (Oct. 22) Video provided by AP
Powered by NewsLook.com

Search ScienceDaily

Number of stories in archives: 140,361

Find with keyword(s):
Enter a keyword or phrase to search ScienceDaily for related topics and research stories.

Save/Print:
Share:

Breaking News:

Strange & Offbeat Stories


Plants & Animals

Earth & Climate

Fossils & Ruins

In Other News

... from NewsDaily.com

Science News

Health News

Environment News

Technology News



Save/Print:
Share:

Free Subscriptions


Get the latest science news with ScienceDaily's free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

Get Social & Mobile


Keep up to date with the latest news from ScienceDaily via social networks and mobile apps:

Have Feedback?


Tell us what you think of ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?
Mobile: iPhone Android Web
Follow: Facebook Twitter Google+
Subscribe: RSS Feeds Email Newsletters
Latest Headlines Health & Medicine Mind & Brain Space & Time Matter & Energy Computers & Math Plants & Animals Earth & Climate Fossils & Ruins