IDEAS home Printed from https://ideas.repec.org/p/ags/uwapdp/232314.html
   My bibliography  Save this paper

A Model of Wheat Yield Response to Application of Diclofop-Methyl to Control Ryegrass (Lolium Rigidum)

Author

Listed:
  • Pannell, David J

Abstract

A general model of crop yield response to herbicide application is proposed. The model includes three components: the effect of herbicide dosage on weed density, the effect of surviving weed density on crop yield and the effect of herbicide directly on the crop. The model is used to estimate the response of wheat yield to application of diclofop-methyl to control ryegrass .(Lolium rigidum) in Australia. It is found that the competitiveness of ryegrass plants surviving treatment is reduced by the treatment and that the proportion of yield lost at a given ryegrass density is not independent of the absolute weed-free yield. The response function is used to calculate economic thresholds and optimal herbicide dosages for ryegrass control in wheat by diclofop-methyl.

Suggested Citation

  • Pannell, David J, 1989. "A Model of Wheat Yield Response to Application of Diclofop-Methyl to Control Ryegrass (Lolium Rigidum)," Discussion Papers 232314, University of Western Australia, School of Agricultural and Resource Economics.
  • Handle: RePEc:ags:uwapdp:232314
    DOI: 10.22004/ag.econ.232314
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/232314/files/uwa-discussionpapers-011-089.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.232314?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Pandey, Sushil, 1989. "Economics of Wild Oats Control: An Application of a Stochastic Dynamic Programming Model," 1989 Conference (33rd), February 7-9, 1989, Christchurch, New Zealand 144816, Australian Agricultural and Resource Economics Society.
    2. L. Joe Moffitt, 1988. "Incorporating Environmental Considerations in Pest Control Advice for Farmers," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(3), pages 628-634.
    3. Harry F. Campbell, 1976. "Estimating the Marginal Productivity of Agricultural Pesticides: the Case of Tree-Fruit Farms in the Okanagan Valley," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 24(2), pages 23-30, July.
    4. Pandey, Sushil, 1989. "Economics of Wild Oats Control: An Application of a Stochastic Dynamic Programming Model," Discussion Papers 230955, University of Western Australia, School of Agricultural and Resource Economics.
    5. J. C. Headley, 1968. "Estimating the Productivity of Agricultural Pesticides," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 50(1), pages 13-23.
    6. Erik Lichtenberg & David Zilberman, 1986. "The Econometrics of Damage Control: Why Specification Matters," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(2), pages 261-273.
    7. H. Talpaz & G. L. Curry & P. J. H. Sharpe & D. W. DeMichele & R. E. Frisbie, 1978. "Optimal Pesticide Application for Controlling the Boll Weevil on Cotton," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 60(3), pages 469-475.
    8. Hovav Talpaz & Itshak Borosh, 1974. "Strategy for Pesticide Use: Frequency and Applications," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 56(4), pages 769-775.
    9. Gershon Feder, 1979. "Pesticides, Information, and Pest Management under Uncertainty," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 61(1), pages 97-103.
    10. Moffitt, L. Joe & Farnsworth, Richard L., 1981. "Bioeconomic Analysis of Pesticide Demand," Journal of Agricultural Economics Research, United States Department of Agriculture, Economic Research Service, vol. 33(4), pages 1-7, October.
    11. Moffitt, L. Joe & Hall, Darwin C. & Osteen, Craig D., 1984. "Economic Thresholds Under Uncertainty with Application to Corn Nematode Management," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 16(2), pages 151-158, December.
    12. 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.
    13. Moffitt, L. Joe & Hall, Darwin C. & Osteen, Craig D., 1984. "Economic Thresholds Under Uncertainty With Application To Corn Nematode Management," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 16(2), pages 1-7, December.
    14. White, Kenneth J, 1978. "A General Computer Program for Econometric Methods-Shazam," Econometrica, Econometric Society, vol. 46(1), pages 239-240, January.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. Norwood, F. Bailey & Marra, Michele C., 2003. "Pesticide Productivity: Of Bugs and Biases," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 28(3), pages 1-15, December.
    3. Pannell, David J., 1990. "An Economic Response Model Of Herbicide Application For Weed Control," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 34(3), pages 1-19, December.
    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. Mitchell, Paul D., 2001. "Additive Versus Proportional Pest Damage Functions: Why Ecology Matters," 2001 Annual meeting, August 5-8, Chicago, IL 20775, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Wu, JunJie, 2001. "Optimal weed control under static and dynamic decision rules," Agricultural Economics, Blackwell, vol. 25(1), pages 119-130, June.
    7. Jianhua Wang & May Chu & Yuting Ma, 2018. "Measuring Rice Farmer’s Pesticide Overuse Practice and the Determinants: A Statistical Analysis Based on Data Collected in Jiangsu and Anhui Provinces of China," Sustainability, MDPI, vol. 10(3), pages 1-17, March.
    8. 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.
    9. Cobourn, Kelly M. & Goodhue, Rachael E. & Williams, Jeffrey C., 2009. "The Role of Harvest Timing in Pest Management: Grower Response to Infestation by the California Olive Fruit Fly," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49475, Agricultural and Applied Economics Association.
    10. Robert G. Chambers & Giannis Karagiannis & Vangelis Tzouvelekas, 2009. "Yet Another Look at Pest Damage and Pesticide Productivity," Working Papers 0911, University of Crete, Department of Economics.
    11. 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.
    12. Pannell, David J., 1988. "Weed Management: A Review of Applied Economics Research in Australia," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 56(03), pages 1-15, December.
    13. Karagiannis, Giannis & Tsionas, Efthimios & Tzouvelekas, Vangelis, 2005. "Efficiency in Damage Control Inputs: A Stochastic Production Frontier Approach," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24642, European Association of Agricultural Economists.
    14. Lichtenberg, Erik & Zilberman, David & Archibald, Sandra O., 1990. "Economics and Pesticides," Working Papers 197750, University of Maryland, Department of Agricultural and Resource Economics.
    15. 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.
    16. Robert Romain & Rémy Lambert & Renée Michaud & Claude Lapointe, 2002. "Impact des variables et pratiques agronomiques sur la réduction des dommages: le cas de la pomme de terre au Québec," Post-Print hal-01201029, HAL.
    17. Alfons Oude Lansink & Alain Carpentier, 2001. "Damage Control Productivity: An Input Damage Abatement Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 52(3), pages 11-22, September.
    18. Blackwell, Melanie & Pagoulatos, Angelos, 1990. "Measuring the Specification Bias of the Cobb Douglas Functional Form for Alfalfa Production," Agricultural Economics Research Reports 140070, University of Kentucky, Department of Agricultural Economics.
    19. Fadhuile, Adelaide & Lemarie, Stephane & Pirotte, Alain, 2011. "Pesticides Uses in Crop Production: What Can We Learn from French Farmers Practices?," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103654, Agricultural and Applied Economics Association.
    20. Young, Douglas L. & Haantuba, Hyde H., 1998. "An Economic Threshold For Tick Control Considering Multiple Damages And Probability-Based Damage Functions," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 23(2), pages 1-11, December.

    More about this item

    Keywords

    Crop Production/Industries;

    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:ags:uwapdp:232314. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aruwaau.html .

    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.