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The Harrington Seed Destructor: Its role and value in farming systems facing the challenge of herbicide-resistant weeds


  • Jacobs, A.
  • Kingwell, R.


Herbicide-resistant weeds are an increasing global problem in crop production systems. To lessen the incidence of herbicide resistance and to prevent the spread of herbicide-resistant weeds many farmers in Australia have adopted weed seed control measures at grain harvest. One new option is known as the Harrington Seed Destructor (HSD). It is a machine that intercepts crop residue from the harvester and then mechanically destroys embedded weed seeds. In this study, the RIM (Ryegrass Integrated Management) model was used to investigate the economic worth of the HSD within integrated weed management strategies applicable to different weed environments, rotations, sizes of cropping programmes and crop yields. Use of the HSD generated increased returns compared to many other weed management strategies in several scenarios, but especially when non-selective herbicide resistance occurred and large areas of high-yielding crops were grown. Emerging trends in grain farming that include larger areas sown to crops, a greater incidence of herbicide-resistant weeds and higher crop yields, when combined with further manufacturing improvement of the HSD, will only further favour the use of the HSD as a key component of integrated weed management.

Suggested Citation

  • Jacobs, A. & Kingwell, R., 2016. "The Harrington Seed Destructor: Its role and value in farming systems facing the challenge of herbicide-resistant weeds," Agricultural Systems, Elsevier, vol. 142(C), pages 33-40.
  • Handle: RePEc:eee:agisys:v:142:y:2016:i:c:p:33-40
    DOI: 10.1016/j.agsy.2015.11.003

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    References listed on IDEAS

    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. Graeme J. Doole & David J. Pannell & Clinton K. Revell, 2009. "Economic contribution of French serradella (Ornithopus sativus Brot.) pasture to integrated weed management in Western Australian mixed-farming systems: an application of compressed annealing ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(2), pages 193-212, April.
    3. David J. Pannell, 2006. "Flat Earth Economics: The Far-reaching Consequences of Flat Payoff Functions in Economic Decision Making," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 28(4), pages 553-566.
    4. 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.
    5. Randall Jones & Oscar Cacho & Jack Sinden, 2006. "The importance of seasonal variability and tactical responses to risk on estimating the economic benefits of integrated weed management," Agricultural Economics, International Association of Agricultural Economists, vol. 35(3), pages 245-256, November.
    6. 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.
    7. Schmidt, Carmel P & Pannell, David J, 1996. "Economic Issues in Management of Herbicide-Resistant Weeds," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 64(03), pages 1-8, December.
    8. Livingston, Michael & Fernandez-Cornejo, Jorge & Unger, Jesse & Osteen, Craig & Schimmelpfennig, David & Park, Tim & Lambert, Dayton, 2015. "The Economics of Glyphosate Resistance Management in Corn and Soybean Production," Economic Research Report 205083, United States Department of Agriculture, Economic Research Service.
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