1999
DOI: 10.4141/a99-020
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Structure of a dynamic simulation model for beef cattle production systems

Abstract: . 1999. Stucture of a dynamic simulation model for beef cattle production systems. Can. J. Anim. Sci. 79: [409][410][411][412][413][414][415][416][417]. A dynamic deterministic model for simulating beef cattle production systems is developed to evaluate the effects of production traits and management strategies on the bioeconomic efficiency of beef production systems. The model, named Alberta Beef Production Simulation System (ABPSS), is composed of four major submodels: herd inventory, nutrient requirement, f… Show more

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Cited by 33 publications
(33 citation statements)
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“…Although no SD model will recreate reality, it can be deemed useful for its intended purpose (in our case scenario testing to investigate acequia community's places of resilience and vulnerability) upon successful model evaluation [51,59]. (Table 5) of the acequia model was comparable to other SD models (e.g., [53][54][55][56][57][58]. Although no SD model will recreate reality, it can be deemed useful for its intended purpose (in our case scenario testing to investigate acequia community's places of resilience and vulnerability) upon successful model evaluation [51,59].…”
Section: Calibration Analysis Of Behavior Reproduction and Theil Ineqmentioning
confidence: 84%
“…Although no SD model will recreate reality, it can be deemed useful for its intended purpose (in our case scenario testing to investigate acequia community's places of resilience and vulnerability) upon successful model evaluation [51,59]. (Table 5) of the acequia model was comparable to other SD models (e.g., [53][54][55][56][57][58]. Although no SD model will recreate reality, it can be deemed useful for its intended purpose (in our case scenario testing to investigate acequia community's places of resilience and vulnerability) upon successful model evaluation [51,59].…”
Section: Calibration Analysis Of Behavior Reproduction and Theil Ineqmentioning
confidence: 84%
“…Cattle size, maturing rate and milk production are important parameters in beef cattle production (Pang et al, 1999). The existence of optimal body size for specific environments has been investigated by numerous authors (Dickerson, 1970;Echols, 2011;Johnson et al, 2010).…”
Section: Introductionmentioning
confidence: 99%
“…These equations imply that grazing animals consume different proportions of leaf, stem, and dead material, based on the level of selectivity and the preference parameters for each sward component (Machado, ). Therefore, the cattle grazing rate (GR) is estimated as follows (Pang et al ., ): GR=DMInormalm×Y/Y+Y50 where DMI m is the maximum dry matter intake of cattle in 1 ha based on nutrient requirements (kg/ha), Y is the forage biomass or yield (kg/ha), and Y 50 is the forage biomass at half of the maximum grazing rate (kg/ha). Using the cattle grazing rate associated with initial forage availability (AF 0 ), it is possible to estimate the final forage availability, a major output of the meteorological–soil–pasture–animal integration submodel that leads to decision making.…”
Section: Resultsmentioning
confidence: 99%