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Optimal management of annual ryegrass (Lolium rigidum Gaud.) in phase rotations in the Western Australian Wheatbelt

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  • Graeme J. Doole

Abstract

Lucerne (Medicago sativa L.) helps to prevent soil salinisation in the Western Australian Wheatbelt by reducing recharge to saline water tables. There is broad consensus, though, that it is not sufficiently profitable to motivate producers to plant it at the intensity at which considerable off-site benefits would be conferred. This paper employs a multiple-phase optimal control model to explore the value of this perennial pasture for the management of herbicide-resistant annual ryegrass (Lolium rigidum Gaud.) in a crop-pasture rotation, given the difficulty of observing this value in practice. The availability of selective herbicides for efficient weed control is found to determine whether or not it is profitable to adopt lucerne pasture under optimal management. Herbicide resistance requires producers to employ costly, non-selective treatments for in-crop weed control. Thus, it motivates the adoption of perennial pasture in which cost-effective forms of control can be implemented. Moreover, this result is robust to feasible changes in the current economic environment. Copyright 2008 The Author. Journal compilation 2008 Australian Agricultural and Resource Economics Society Inc. and Blackwell Publishing Asia Pty Ltd.

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  • Graeme J. Doole, 2008. "Optimal management of annual ryegrass (Lolium rigidum Gaud.) in phase rotations in the Western Australian Wheatbelt ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 52(3), pages 339-362, September.
  • Handle: RePEc:bla:ajarec:v:52:y:2008:i:3:p:339-362
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    File URL: http://hdl.handle.net/10.1111/j.1467-8489.2008.00415.x
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    References listed on IDEAS

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    1. Russell J. Gorddard & David J. Pannell & Greg Hertzler, 1995. "An Optimal Control Model For Integrated Weed Management Under Herbicide Resistance," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 39(1), pages 71-87, April.
    2. Mueller, Ute & Schilizzi, Steven & Tran, Tuyet, 1999. "The dynamics of phase farming in dryland salinity abatement," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 43(1), pages 1-17, March.
    3. Pannell, David J. & Stewart, Vanessa & Bennett, Anne & Monjardino, Marta & Schmidt, Carmel & Powles, Stephen B., 2004. "RIM: a bioeconomic model for integrated weed management of Lolium rigidum in Western Australia," Agricultural Systems, Elsevier, vol. 79(3), pages 305-325, March.
    4. Bathgate, Andrew & Pannell, David J., 2002. "Economics of deep-rooted perennials in western Australia," Agricultural Water Management, Elsevier, vol. 53(1-3), pages 117-132, February.
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    Cited by:

    1. Doole, Graeme J., 2009. "A Practical Algorithm for Multiple-Phase Control Systems in Agricultural and Natural Resource Economics," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 34(1), pages 1-21, April.
    2. Pech, Caris L. & Doole, Graeme J. & Pluske, Johanna M., 2009. "The value of refugia in managing anthelmintic resistance: a modelling approach," 2009 Conference (53rd), February 11-13, 2009, Cairns, Australia 48166, Australian Agricultural and Resource Economics Society.
    3. Graeme J. Doole & David J. Pannell, 2013. "A process for the development and application of simulation models in applied economics," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 57(1), pages 79-103, January.
    4. Doole, Graeme J. & Pannell, David J., 2009. "Evaluating combined land conservation benefits from perennial pasture: lucerne ( Medicago sativa L.) for management of dryland salinity and herbicide resistance in Western Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(2), pages 1-19.

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