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A bioeconomic model for analysis of integrated weed management strategies for annual barnyardgrass (Echinochloa crus-galli complex) in Philippine rice farming systems

Author

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  • Beltran, Jesusa C.
  • Pannell, David J.
  • Doole, Graeme J.
  • White, Benedict

Abstract

This paper describes a dynamic simulation model that allows for comprehensive assessment of integrated weed management programmes for the control of annual barnyardgrass (Echinochloa crus-galli complex) in Philippine rice farming systems. The main outputs of the model include weed seed and plant densities and seasonal and annualised profit over the simulated planning horizon. Results broadly indicate that a mixture of chemical and non-chemical treatments provides good weed control in rice crops, and maximises long-term profit for systems where the main weed is annual barnyardgrass. However, the performance of this strategy is heavily influenced by crop establishment method and labour cost. At current labour cost and low weed density, the regular use of manual weeding is the most valuable primary form of weed control in rice farming systems, relative to herbicide application. Herbicide application becomes more profitable than manual weeding when labour costs increase or the population of barnyardgrass plants is not maintained at its optimal level. These results illustrate the value of the model for guiding the efficient control of annual barnyardgrass in rice crops in the Philippines.

Suggested Citation

  • Beltran, Jesusa C. & Pannell, David J. & Doole, Graeme J. & White, Benedict, 2012. "A bioeconomic model for analysis of integrated weed management strategies for annual barnyardgrass (Echinochloa crus-galli complex) in Philippine rice farming systems," Agricultural Systems, Elsevier, vol. 112(C), pages 1-10.
  • Handle: RePEc:eee:agisys:v:112:y:2012:i:c:p:1-10
    DOI: 10.1016/j.agsy.2012.06.003
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    References listed on IDEAS

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    1. McCarl, Bruce A. & Apland, Jeffrey, 1986. "Validation Of Linear Programming Models," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 18(02), December.
    2. Pannell, David J., 1997. "Sensitivity analysis of normative economic models: theoretical framework and practical strategies," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 16(2), May.
    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. Doole, Graeme J. & Weetman, Ellen, 2009. "Tactical management of pasture fallows in Western Australian cropping systems," Agricultural Systems, Elsevier, vol. 102(1-3), pages 24-32, October.
    5. Graeme J. Doole & David J. Pannell, 2008. "Optimisation of a Large, Constrained Simulation Model using Compressed Annealing," Journal of Agricultural Economics, Wiley Blackwell, vol. 59(1), pages 188-206, February.
    6. David J. Pannell, 2006. "Avoiding Simplistic Assumptions in Discounting Cash Flows for Private Decisions," Chapters,in: Economics and the Future, chapter 3 Edward Elgar Publishing.
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