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SMART: a Simple Model to Assess Range Technology
Author
Hart, R. H.
Publisher
Society for Range Management
Publication Year
1989-09-01
Body

A model, more detailed than a set of stocking rate response curves but less detailed than large process models such as SPUR, was needed to evaluate the short-term effect of grazing management practices on range herbage growth and livestock production. SMART (Simple Model to Assess Range Technology) simulates the effects of stocking rate and rotation on herbage production and steer performance. Herbage growth rate is a quadratic function of herbage biomass and is adjusted for seasonal differences. Herbage intake increases with herbage biomass and digestibility and animal weight. Animal gain increases logarithmically with digestible dry matter intake and decreases with animal weight. Output of these simulations confirms that early removal of steers from pasture in autumn will increase net returns, and that short-duration rotation grazing will produce little increase in gains or returns over those achieved under season-long grazing. Development of the SMART model revealed deficiencies in our understanding of the factors controlling herbage intake. This material was digitized as part of a cooperative project between the Society for Range Management and the University of Arizona Libraries. The Journal of Range Management archives are made available by the Society for Range Management and the University of Arizona Libraries. Contact lbry-journals@email.arizona.edu for further information. Migrated from OJS platform August 2020

Language
en
Resource Type
Text
Document Type
Journal Issue/Article
Digital Object Identifier (DOI)
10.2307/3899554
Additional Information
Hart, R. H. (1989). SMART: a simple model to assess range technology. Journal of Range Management, 42(5), 421-424.
ISSN
0022-409X
OAI Identifier
oai:repository.arizona.edu:10150/645081
Journal Volume
42
Journal Number
5
Journal Pages
421-424
Collection
Rangeland Ecology & Management (REM)
Journal Name
Journal of Range Management
Keywords
computer simulation
stocking rate
steers
range management