Estimating the on-farm cost of skeleton weed (Chondrilla juncea) in Western Australia using a wholefarm programming model

Pannell, David J.; Panetta, Dane

doi:10.1016/0167-8809(86)90044-7

Cited by 12 publications

(3 citation statements)

References 21 publications

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“…MUDAS is derived from MIDAS (Model of an Integrated Dryland Agricultural System), a deterministic linear programming model which has been described in detail by Morrison et al (1986) and Kingwell (1987) and applied to a wide range of problems (e.g. Kingwell and Pannell, 1987;Pannell and Panetta, 1986;Abadi Ghadim and Pannell 1991). MUDAS represents c1imatic unccrtainty through the inclusion of nine discrete season types.…”

Section: Dlscrete Stochastic Programming Madelmentioning

confidence: 99%

Tactical responses to seasonal conditions in whole-farm planning in Western Australia

Kingwell

Pannell²,

Robinson

1993

Agricultural Economics

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Kingwell, R.S., Pannell, DJ. and Robinson, S.D., 1993. Tactieal responses to seasonal conditions in whole-farm planning in Western Australia. Agric. Econ., H: 211-226.In dryland agricultural systems, efficient farm management requires a degree of flexibility according to variations in climate from year to year. Tactical adjustments to the mix of farm enterprises can capitalizc on good growing conditions and minimise losses under poor growing conditions. In this paper, a discrete stochastic programming mode! of dryland wheat-sheep farms in Western Australia is used to identify optimal tactical adjustments to c1imate and to calculatc the value of these tactical adjustrncnts. The rnodel, MUDAS, includes nine discrete scason types with a wide range of options for tactical adiustmcnts in each. In the standard modcl, optimal tactical responses increase cxpected net cash surplus by approximately 22% relative to a fixed or inflexible strategy, In most season types, changes to the long term farm strategy arc made on less than 10% of the farm arca, although in some seasons over 25% of the farm can rcquire adjustments to the enterprise scleeted. The benefits of f1exibility arc not evcnly distributed aeross different season types but occur predominantly in the best and worst seasons. The magnitude of bencfits is affected differently by different eommodity priees. Benefits of flexibility arc duc to capitalizing on knowledge about the grcater volatility of profits from cropping than from livestock production. Deterministic models and even stoehastic models which don't include activities for tactical adjustments miss this key feature of the system.Notwithstanding the high variance of world priees for most agricultural commodities (e.g. Hazell et al., 1990), climate is the major source of income Correspondence to: DJ. Pannell,

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Section: Dlscrete Stochastic Programming Madelmentioning

confidence: 99%

Tactical responses to seasonal conditions in whole-farm planning in Western Australia

Kingwell

Pannell²,

Robinson

1993

Agricultural Economics

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“…Sinden et al (2004) used the Skeleton Weed Eradication Fund budget in 2001/2002 to estimate skeleton weed damages in Western Australia of A$3.4 million per year (A$5.1 million in current AUD), but did not discuss the relationship between this funding and weed abundance or distribution over time. Pannell and Panetta (1986) used a mathematical programming model to estimate a A$24200 (A$65000 in today's dollars) reduction in annual profit of a representative broadacre farm in Western Australia as a result of skeleton weed impacts on soil nitrogen, crop yield, herbicide usage, and stocking density. Although four weed density scenarios are incorporated in their model, the area affected is restricted to a single farm in a single year.…”

Section: Discussionmentioning

confidence: 99%

Benefit‐cost analysis of skeleton weed (Chondrilla juncea) management in Western Australia

Cook

2021

Weed Biology and Management

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This paper estimates the return on investment in the skeleton weed management program in Western Australia. A bioeconomic model is used to estimate costs to broadacre cropping industries over time with and without the program. Results suggest that without the program annual crop yield losses and increased growing costs, expressed in Australian dollars ($A), could reach A$13.6 million after 30 years. With the program, these losses reduce to A$5.0 million. If annual skeleton weed program costs remain approximately A$3.4 million, the program is likely to produce an annual net benefit to grain producers of A$8.6 million after 30 years.

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“…MUDAS is derived from MIDAS (Model of an Integrated Dryland Agricultural System), a deterministic linear programming model which has been described in detail by Morrison et al (1986) and Kingwell (1987) and applied to a wide range of problems (e.g. Kingwell and Pannell, 1987;Pannell and Panetta, 1986;Abadi Ghadim and Pannell 1991). MUDAS represents climatic uncertainty through the inclusion of nine discrete season types.…”

Section: Farm Systemmentioning

confidence: 99%

Tactical responses to seasonal conditions in whole‐farm planning in Western Australia

Kingwell¹,

Pannell

Robinson³

1993

Agricultural Economics

View full text Add to dashboard Cite

In dryland agricultural systems, efficient farm management requires a degree of flexibility according to variations in climate from year to year. Tactical adjustments to the mix of farm enterprises can capitalize on good growing conditions and minimise losses under poor growing conditions. In this paper, a discrete stochastic programming model of dryland wheat‐sheep farms in Western Australia is used to identify optimal tactical adjustments to climate and to calculate the value of these tactical adjustments. The model, MUDAS, includes nine discrete season types with a wide range of options for tactical adjustments in each. In the standard model, optimal tactical responses increase expected net cash surplus by approximately 22% relative to a fixed or inflexible strategy. In most season types, changes to the long term farm strategy are made on less than 10% of the farm area, although in some seasons over 25% of the farm can require adjustments to the enterprise selected. The benefits of flexibility are not evenly distributed across different season types but occur predominantly in the best and worst seasons. The magnitude of benefits is affected differently by different commodity prices. Benefits of flexibility are due to capitalizing on knowledge about the greater volatility of profits from cropping than from livestock production. Deterministic models and even stochastic models which don't include activities for tactical adjustments miss this key feature of the system.

show abstract

Estimating the on-farm cost of skeleton weed (Chondrilla juncea) in Western Australia using a wholefarm programming model

Cited by 12 publications

References 21 publications

Tactical responses to seasonal conditions in whole-farm planning in Western Australia

Tactical responses to seasonal conditions in whole-farm planning in Western Australia

Benefit‐cost analysis of skeleton weed (Chondrilla juncea) management in Western Australia

Tactical responses to seasonal conditions in whole‐farm planning in Western Australia

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