Arid
DOI10.1016/j.agsy.2014.05.011
Modeling weather and stocking rate effects on forage and steer production in northern mixed-grass prairie
Fang, Q. X.1; Andales, A. A.2; Derner, J. D.3; Ahuja, L. R.4; Ma, L.4; Bartling, P. N. S.4; Reeves, J. L.3; Qi, Z.5
通讯作者Andales, A. A.
来源期刊AGRICULTURAL SYSTEMS
ISSN0308-521X
EISSN1873-2267
出版年2014
卷号129页码:103-114
英文摘要

Stocking rate (SR) is the primary management factor that influences livestock gains, plant community changes and forage production, as well as economic returns for livestock producers. More effective stocking decision making by ranchers in the semi-arid northern mixed-grass prairie requires clearly understanding forage production and yearling steer weight gain (SWG) responses to SR and high weather variability. The objectives of this study were to: (1) test the Great Plains Framework for Agricultural Resource Management-Range (GPFARM-Range) model for predicting forage production and SWG under three experimental SR treatments and long-term weather conditions on semiarid northern mixed-grass prairie in southeast Wyoming, USA; and (2) quantify the threshold responses of forage production and SWG to SR and the yearly weather variability across years using long-term simulations with SR higher than those experimentally evaluated. We improved upon the GPFARM-Range model to simulate peak standing crop (PSC) and SWG for three experimental SR treatments (low, moderate and high; 0.20, 0.33 and 0.44 steer ha(-1), respectively) from 1982 to 2012 at Cheyenne, Wyoming, USA. The improved model accurately predicted the effects of SR on PSC and SWG across years (root mean square errors from 355 to 387 kg ha(-1) for PSC and from 12.8 to 14.2 kg head(-1) for SWG). We ran the model with long-term weather data and 50-300% higher SR (0.66-1.76 steer ha(-1)) than the high SR experimental treatment. Differential responses of predicted total intake of digestible nutrients (quadratic increase) and metabolic maintenance (linear increase) to these higher SR resulted in a quadratic increase of predicted SWG with SR and high yearly variability at high SR levels. The financially-optimum SR with highest profits was reduced to 0.33 steer ha(-1) for dry or normal seasons and 0.44 steer ha(-1) for wet seasons. Such reduced SR can also benefit land conservation with high PSC and low harvest efficiency. The moderate SR with 25% harvest efficiency was determined between 0.22 and 0.33 steer ha(-1) for dry or normal seasons, or between 0.33 and 0.44 steer ha(-1) for wet seasons. These results provide useful direction for selecting an effective SR to achieve high economic net return with lower yearly variability (risk) and reduced likelihood of rangeland degradation. (C) 2014 Elsevier Ltd. All rights reserved.


英文关键词GPFARM-Range Rangeland model Peak standing crop Steer
类型Article
语种英语
国家Peoples R China ; USA ; Canada
收录类别SCI-E
WOS记录号WOS:000340311200010
WOS关键词PEAK STANDING CROP ; GRAZING SYSTEMS ; ECONOMIC RESPONSES ; PRECIPITATION ; TEMPERATURE ; RANGELAND ; PLAINS ; CATTLE ; PERFORMANCE ; SIMULATION
WOS类目Agriculture, Multidisciplinary
WOS研究方向Agriculture
来源机构Colorado State University
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/180502
作者单位1.Qingdao Agr Univ, Qingdao 266109, Peoples R China;
2.Colorado State Univ, Dept Soil & Crop Sci, Ft Collins, CO 80523 USA;
3.ARS, USDA, High Plains Grasslands Res Stn, Cheyenne, WY 82009 USA;
4.ARS, USDA, Agr Syst Res Unit, Ft Collins, CO 80526 USA;
5.McGill Univ, Dept Bioresource Engn, Montreal, PQ H3A 2T5, Canada
推荐引用方式
GB/T 7714
Fang, Q. X.,Andales, A. A.,Derner, J. D.,et al. Modeling weather and stocking rate effects on forage and steer production in northern mixed-grass prairie[J]. Colorado State University,2014,129:103-114.
APA Fang, Q. X..,Andales, A. A..,Derner, J. D..,Ahuja, L. R..,Ma, L..,...&Qi, Z..(2014).Modeling weather and stocking rate effects on forage and steer production in northern mixed-grass prairie.AGRICULTURAL SYSTEMS,129,103-114.
MLA Fang, Q. X.,et al."Modeling weather and stocking rate effects on forage and steer production in northern mixed-grass prairie".AGRICULTURAL SYSTEMS 129(2014):103-114.
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