IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v59y1999i3p283-299.html
   My bibliography  Save this article

Risks of post-emergence weed control strategies in sugar beet: development and application of a bio-economic model

Author

Listed:
  • de Buck, A. J.
  • Schoorlemmer, H. B.
  • Wossink, G. A. A.
  • Janssens, S. R. M.

Abstract

No abstract is available for this item.

Suggested Citation

  • de Buck, A. J. & Schoorlemmer, H. B. & Wossink, G. A. A. & Janssens, S. R. M., 1999. "Risks of post-emergence weed control strategies in sugar beet: development and application of a bio-economic model," Agricultural Systems, Elsevier, vol. 59(3), pages 283-299, March.
  • Handle: RePEc:eee:agisys:v:59:y:1999:i:3:p:283-299
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308-521X(99)00010-4
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Taylor, Michael L. & Adams, Richard M. & Miller, Stanley F., 1992. "Farm-Level Response To Agricultural Effluent Control Strategies: The Case Of The Willamette Valley," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 17(1), pages 1-13, July.
    2. Swinton, Scott M. & King, Robert P., 1994. "A bioeconomic model for weed management in corn and soybean," Agricultural Systems, Elsevier, vol. 44(3), pages 313-335.
    3. C. Robert Taylor & Oscar R. Burt, 1984. "Near-Optimal Management Strategies for Controlling Wild Oats in Spring Wheat," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(1), pages 50-60.
    4. Auld, Bruce A. & Tisdell, Clem A., 1987. "Economic thresholds and response to uncertainty in weed control," Agricultural Systems, Elsevier, vol. 25(3), pages 219-227.
    5. Kropff, M. J. & Lotz, L. A. P., 1992. "Systems approaches to quantify crop-weed interactions and their application in weed management," Agricultural Systems, Elsevier, vol. 40(1-3), pages 265-282.
    6. Carlson, Gerald A. & Zilberman, David & Miranowski, John, 1993. "Agricultural and Resource Economics," Staff General Research Papers Archive 11104, Iowa State University, Department of Economics.
    7. de Buck, A. J. & Hendrix, E. M. T. & Schoorlemmer, H. B., 1999. "Analysing production and environmental risks in arable farming systems: A mathematical approach," European Journal of Operational Research, Elsevier, vol. 119(2), pages 416-426, December.
    8. Mark L. Teague & Daniel J. Bernardo & Harry P. Mapp, 1995. "Farm-Level Economic Analysis Incorporating Stochastic Environmental Risk Assessment," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(1), pages 8-19.
    9. Sells, J. E., 1993. "Calculating transition probabilities for modelling weed management options using stochastic dynamic programming," Agricultural Systems, Elsevier, vol. 41(1), pages 41-52.
    10. Sells, J. E., 1995. "Optimising weed management using stochastic dynamic programming to take account of uncertain herbicide performance," Agricultural Systems, Elsevier, vol. 48(3), pages 271-296.
    11. Wossink, G. A. A. & de Buck, A. J. & van Niejenhuis, J. H. & Haverkamp, H. C. M., 1997. "Farmer perceptions of weed control techniques in sugarbeet," Agricultural Systems, Elsevier, vol. 55(3), pages 409-423, November.
    12. Wiles, L. J. & King, R. P. & Schweizer, E. E. & Lybecker, D. W. & Swinton, S. M., 1996. "GWM: General weed management model," Agricultural Systems, Elsevier, vol. 50(4), pages 355-376.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dirksmeyer, Walter, 2007. "Ist Eine Reduzierung Des Pflanzenschutzmitteleinsatzes Im Freilandgemüsebau Möglich? Ergebnisse Eines Bioökonomischen Simulationsmodells," 47th Annual Conference, Weihenstephan, Germany, September 26-28, 2007 7592, German Association of Agricultural Economists (GEWISOLA).
    2. Dirksmeyer, W., 2008. "Ist eine Reduzierung des Pflanzenschutzmitteleinsatzes im Freilandgemüsebau möglich? Ergebnisse eines bioökonomischen Simulationsmodells," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 43, March.
    3. de Buck, A. J. & Hendrix, E. M. T. & Schoorlemmer, H. B., 1999. "Analysing production and environmental risks in arable farming systems: A mathematical approach," European Journal of Operational Research, Elsevier, vol. 119(2), pages 416-426, December.
    4. Lodovichi, Mariela V. & Blanco, Aníbal M. & Chantre, Guillermo R. & Bandoni, J. Alberto & Sabbatini, Mario R. & Vigna, Mario & López, Ricardo & Gigón, Ramón, 2013. "Operational planning of herbicide-based weed management," Agricultural Systems, Elsevier, vol. 121(C), pages 117-129.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Swinton, Scott M. & Black, J. Roy, 2000. "Modeling Of Agricultural Systems," Staff Paper Series 11581, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    2. Swinton, Scott M. & Day, Esther, 2000. "Economics In The Design, Assessment, Adoption, And Policy Analysis Of I.P.M," Staff Paper Series 11789, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    3. David J. Pannell, 1991. "Pests and pesticides, risk and risk aversion," Agricultural Economics, International Association of Agricultural Economists, vol. 5(4), pages 361-383, August.
    4. D. J. Pannell, 1990. "Responses To Risk In Weed Control Decisions Under Expected Profit Maximisation," Journal of Agricultural Economics, Wiley Blackwell, vol. 41(3), pages 391-401, September.
    5. Swinton, Scott M. & King, Robert P., 1994. "A bioeconomic model for weed management in corn and soybean," Agricultural Systems, Elsevier, vol. 44(3), pages 313-335.
    6. Archer, David Walter, 1995. "Self-insurance and self-protection in weed control: implications for nonpoint source pollution," ISU General Staff Papers 1995010108000012033, Iowa State University, Department of Economics.
    7. Mapp, Harry P., Jr., 1999. "Impact Of Production Changes On Income And Environmental Risk In The Southern High Plains," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 31(2), pages 1-11, August.
    8. Mace, Karen & Morlon, Pierre & Munier-Jolain, Nicolas & Quere, Lionel, 2007. "Time scales as a factor in decision-making by French farmers on weed management in annual crops," Agricultural Systems, Elsevier, vol. 93(1-3), pages 115-142, March.
    9. Lodovichi, Mariela V. & Blanco, Aníbal M. & Chantre, Guillermo R. & Bandoni, J. Alberto & Sabbatini, Mario R. & Vigna, Mario & López, Ricardo & Gigón, Ramón, 2013. "Operational planning of herbicide-based weed management," Agricultural Systems, Elsevier, vol. 121(C), pages 117-129.
    10. Matekole, Augustus N. & Westra, John V., 2009. "Economic Analysis of Tillage and Nutrient Best Management Practices in the Ouachita River Basin, Louisiana," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49519, Agricultural and Applied Economics Association.
    11. Wu, JunJie, 2001. "Optimal weed control under static and dynamic decision rules," Agricultural Economics, Blackwell, vol. 25(1), pages 119-130, June.
    12. Jones, Randall E. & Cacho, Oscar J. & Sinden, Jack A., 2003. "Modelling the Dynamics of Weed Management Technologies," 2003 Conference (47th), February 12-14, 2003, Fremantle, Australia 57902, Australian Agricultural and Resource Economics Society.
    13. Finnoff, David & Tschirhart, John, 2005. "Identifying, preventing and controlling invasive plant species using their physiological traits," Ecological Economics, Elsevier, vol. 52(3), pages 397-416, February.
    14. Schwabe, Kurt A. & Knapp, Keith C., 2005. "Nitrogen as a Capital Input and Stock Pollutant: A Dynamic Analysis of Corn Production and Nitrogen Leaching under Non-Uniform Irrigation," 2005 Annual meeting, July 24-27, Providence, RI 19466, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    15. Wallinga, Jacco, 1998. "Analysis of the rational long-term herbicide use: Evidence for herbicide efficacy and critical weed kill rate as key factors," Agricultural Systems, Elsevier, vol. 56(3), pages 323-340, March.
    16. Horan, Richard D. & Claassen, Roger & Cooper, Joseph C., 2000. "Environmental Risk And Agri-Environmental Policy Design," 2000 Annual meeting, July 30-August 2, Tampa, FL 21827, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    17. Jayasuriya, Rohan T. & Jones, Randall E., 2008. "A bioeconomic model for determining the optimal response to a new weed incursion in Australian cropping systems," 2008 Conference (52nd), February 5-8, 2008, Canberra, Australia 6015, Australian Agricultural and Resource Economics Society.
    18. Wiles, L. J. & King, R. P. & Schweizer, E. E. & Lybecker, D. W. & Swinton, S. M., 1996. "GWM: General weed management model," Agricultural Systems, Elsevier, vol. 50(4), pages 355-376.
    19. Oriade, Caleb Adewale, 1995. "A bioeconomic analysis of site-specific management and delayed planting strategies for weed control," Faculty and Alumni Dissertations 307890, University of Minnesota, Department of Applied Economics.
    20. Scott M. Swinton & Robert P. King, 1994. "The Value of Pest Information in a Dynamic Setting: The Case of Weed Control," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(1), pages 36-46.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agisys:v:59:y:1999:i:3:p:283-299. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agsy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.