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    • Rangeland Ecology & Management, Volume 66 (2013)
    • Rangeland Ecology & Management, Volume 66, Number 4 (July 2013)
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    Temperature and Precipitation Affect Steer Weight Gains Differentially by Stocking Rate in Northern Mixed-Grass Prairie

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    Author
    Reeves, Justin L.
    Derner, Justin D.
    Sanderson, Matt A.
    Petersen, Mark K.
    Vermeire, Lance T.
    Hendrickson, John R.
    Kronberg, Scott L.
    Issue Date
    2013-07-01
    Keywords
    beef cattle production
    climate variability
    decision support tools
    grazing management
    model averaging
    semiarid rangelands
    
    Metadata
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    Citation
    Reeves, J. L., Derner, J. D., Sanderson, M. A., Petersen, M. K., Vermeire, L. T., Hendrickson, J. R., & Kronberg, S. L. (2013). Temperature and precipitation affect steer weight gains differentially by stocking rate in northern mixed-grass prairie. Rangeland Ecology & Management, 66(4), 438-444.
    Publisher
    Society for Range Management
    Journal
    Rangeland Ecology & Management
    URI
    http://hdl.handle.net/10150/642730
    DOI
    10.2111/REM-D-12-00157.1
    Additional Links
    https://rangelands.org/
    Abstract
    Cattle weight gain responses to seasonal weather variability are difficult to predict for rangelands because few long-term (>20 yr) studies have been conducted. However, an increased understanding of temperature and precipitation influences on cattle weight gains is needed to optimize stocking rates and reduce enterprise risk associated with climatic variability. Yearling steer weight gain data collected at the USDA-ARS High Plains Grasslands Research Station at light, moderate, and heavy stocking rates for 30 years (1982-2011) were used to examine the effects of spring (April-June) and summer (July-September) temperature and precipitation, as well as prior-growing-season (prior April-September) and fall/winter (October-March) precipitation, on beef production (kg ha-1). At heavier stocking rates, steer production was more sensitive to seasonal weather variations. A novel finding was that temperature (relatively cool springs and warm summers) played a large predictive role on beef production. At heavier stocking rates, beef production was highest during years with cool, wet springs and warm, wet summers, corresponding to optimum growth conditions for this mixed C3-C4 plant community. The novelty and utility of these findings may increase the efficacy of stocking rate decision support tools. The parsimonious model structure presented here includes three-month seasonal clusters that are forecasted and freely available from the US National Oceanic and Atmospheric Administration up to a year in advance. These seasonal weather forecasts can provide ranchers with an increased predictive capacity to adjust stocking rates (in advance of the grazing season) according to predicted seasonal weather conditions, thereby reducing enterprise risk.
    Type
    text
    Article
    Language
    en
    ISSN
    0022-409X
    ae974a485f413a2113503eed53cd6c53
    10.2111/REM-D-12-00157.1
    Scopus Count
    Collections
    Rangeland Ecology & Management, Volume 66, Number 4 (July 2013)

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