2003
DOI: 10.4141/a02-068
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Validating and using the GrassGro decision support tool for a mixed grass/alfalfa pasture in western Canada

Abstract: . 2003. Validating and using the GrassGro decision support tool for a mixed grass/alfalfa pasture in western Canada. Can. J. Anim. Sci. 83: 171-182. This paper presents predictions of pasture composition and liveweight gain of steers using the GrassGro simulation model. Predictions are compared with field data measured during a 4-yr experiment at Brandon, Manitoba, in which steers grazed alfalfa (Medicago sativa)/grass (Bromus biebersteinii and Psathyrostachys juncea) pastures at 1.1 and 2.2 steers ha -1 in co… Show more

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Cited by 18 publications
(10 citation statements)
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“…The GRAZPLAN simulation model (Moore et al 1997) is a biomass-based, multi-species model that operates at a daily timestep. Most of its development has focused on environments where variable water supply is a major factor limiting pasture productivity (Donnelly et al 1998;Cohen et al 2003). The model includes equations for the phenological cycles of various classes of perennial and annual plants; capture of light, water and soil nutrients; assimilation and respiration; the allocation of net assimilate between production of leaves, stems, roots and seeds; the dynamics of forage nutritive value; the death, fall, decomposition and disappearance of dead biomass; and the dynamics of the pasture seed bank.…”
Section: Model Descriptionmentioning
confidence: 99%
“…The GRAZPLAN simulation model (Moore et al 1997) is a biomass-based, multi-species model that operates at a daily timestep. Most of its development has focused on environments where variable water supply is a major factor limiting pasture productivity (Donnelly et al 1998;Cohen et al 2003). The model includes equations for the phenological cycles of various classes of perennial and annual plants; capture of light, water and soil nutrients; assimilation and respiration; the allocation of net assimilate between production of leaves, stems, roots and seeds; the dynamics of forage nutritive value; the death, fall, decomposition and disappearance of dead biomass; and the dynamics of the pasture seed bank.…”
Section: Model Descriptionmentioning
confidence: 99%
“…From a research standpoint, this task is similar to that encountered by wildlife biologists or landscape ecologists when collecting information on a subset of the herd or ecosystem within a management area to model a biophysical characteristic at the larger scale (Forester et al, 2007). Similar to Cohen et al (2003) and Rotz et al (2005), we also applied information collected on multiple animals within a group to predict performance of that group or a representative animal from that group.…”
Section: Discussionmentioning
confidence: 99%
“…The accuracy of estimates of potential regional SOC gains is also reduced by the reliance on the two sites of Melfort and Swift Current as representative of grassland systems within these ecoregions. GrassGro has been shown to accurately predict ANPP and livestock liveweight gain (Cohen et al 2003). Further testing and calibration with both forage and livestock performance data from experimental sites representing grassland systems at a finer scale within these regions is necessary, however, to reduce the uncertainty associated with these estimates.…”
Section: Estimates Of Soil Organic Carbon Sequestrationmentioning
confidence: 99%
“…Annual ANPP and associated soil C inputs (from combined phytomass residue and manure) were calculated using results obtained for each grazing management scenario tested using the GrassGro model (Cohen et al 1995(Cohen et al , 2003. GrassGro is a computer decision support system that predicts range, pasture, forage and ruminant livestock productivity under different management conditions in various locations of the Canadian Prairies.…”
Section: Modeling Forage Yields Livestock Productivity and Profitabimentioning
confidence: 99%