Using simulation to assess the risks and returns from pasture improvement for beef production in agriculturally underdeveloped regions

Beck, A. C.; Harrison, Ian; Johnston, John

doi:10.1016/0308-521x(82)90091-9

Cited by 6 publications

(2 citation statements)

References 4 publications

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“…Most previous attempts to model microeconomic aspects of grazingland -livestock production systems attempted to do so empirically (Halter and Dean, 1965;Beck &aL, 1982). According to Carlson ehl.…”

Section: Current State Of Modeling Socio-economic Aspects Of Grasslandsmentioning

confidence: 99%

Assessing the Impacts of Climate Change on Natural Resource Systems

Frederick¹,

Rosenberg²

1994

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Section: Current State Of Modeling Socio-economic Aspects Of Grasslandsmentioning

confidence: 99%

Assessing the Impacts of Climate Change on Natural Resource Systems

Frederick¹,

Rosenberg²

1994

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“…• evaluation of changes in the physical nature of farms, e.g. pasture type, genotype (Beck et al 1982, Blackbum and Cartwright 1987b, White 1988, Foran et al 1990);…”

Section: Uses Of Simulation Modelsmentioning

confidence: 99%

Near-real time financial assessment of the Queensland wool industry on a regional basis

Hall

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TJiis thesis describes a systems analysis of the Queensland wool industry at a farm-enterprise level, and development of a computer simulation model designed to provide near real-time physical and financial information to policy makers at a regional level as an aid to decision making.Extensive reviews of the main biological factors affecting the wool enterprise were completed: diet selection and feed intake, protein digestion and metabolism, energy digestion and metabolism, wool growth, reproduction and mortalit}\ A sensitivity analysis of three separate bio-economic models was carried out to identify system components having the greatest impact on the financial performance of wool enterprises. Fleece production, wool price and total variable costs were found to be the most important determinants in each model. Grazfeed, a commercially available software package based on the Australian feeding standards for ruminants, was tested for its ability to simulate animal production as observed in Queensland sheep grazing experiments. A FORTRAN version of the required code for sheep and cattle was written and used in the subsequent analysis. These experiments varied greatly, both temporally and spatially. A number of problems in trial management and methodology were identified, these often required adjustment of recorded data. The collation of trial data was done in a manner that allowed ease of use in computer models. Optimisation software was used to modify parameters and equations within the model in an attempt to improve the agreement between predicted and observed values. Grazfeed was found to be unsuitable using the available test data.Regression analysis techniques were then used to identify climate, soil water, pasture and dietary variables which were able to explain the observed grazing trial variation in annual fleece production and liveweight change. The dietary variables were estimated using a theoretical diet selection subroutine, and a feed intake subroutine based on

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Assessing the Socioeconomic Impacts of Climate Change on Grazinglands

Conner¹

1994

Assessing the Impacts of Climate Change on Natural Resource Systems

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Using simulation to assess the risks and returns from pasture improvement for beef production in agriculturally underdeveloped regions

Cited by 6 publications

References 4 publications

Assessing the Impacts of Climate Change on Natural Resource Systems

Assessing the Impacts of Climate Change on Natural Resource Systems

Near-real time financial assessment of the Queensland wool industry on a regional basis

Assessing the Socioeconomic Impacts of Climate Change on Grazinglands

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