IDEAS home Printed from https://ideas.repec.org/p/ags/iaae18/277282.html
   My bibliography  Save this paper

Optimal Rotations with Considerations for Corn in Southern Manitoba

Author

Listed:
  • Brewin, D.
  • Sakulanda, H.

Abstract

An effective way of assessing the potential of any crop is to estimate the profitability growing it in a single year, but this ignores the impacts of previous crops. The top five crops by seeded area in southern Manitoba are canola, soybeans, spring wheat, grain corn and oats. The yearly return from these crops grown in various five year rotations is the focus of this study. This study uses 5 year average relative yield response values, a measure of the impact that one crop has on the yield of next seeded crop. Rotation options from the 5 top crops are analyzed. Returns using 5 year average yields and prices, adjusted by the estimated impacts of previous crops, are calculated and ranked to determine the top 10 performing rotations. Historical prices were applied to the top ten budgets to see if the rotation ranks survived over time as prices varied. The top rotation, corn and soybeans, remained optimal for all but 3 years in the 13 examined. Continuous cropping, even with high earning corn, is significantly less profitable than crops grown in rotation. Acknowledgement : Funding: This work is part of a multidisciplinary corn rotation project at the University of Manitoba sponsored by the Manitoba Corn Growers and Western Grain Research Fund.

Suggested Citation

  • Brewin, D. & Sakulanda, H., 2018. "Optimal Rotations with Considerations for Corn in Southern Manitoba," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277282, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae18:277282
    DOI: 10.22004/ag.econ.277282
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/277282/files/1542.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.277282?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. Talaat El-Nazer & Bruce A. McCarl, 1986. "The Choice of Crop Rotation: A Modeling Approach and Case Study," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(1), pages 127-136.
    2. MacEwan, Duncan & Howitt, Richard E., 2011. "Estimating Crop Rotations as Dynamic Cycles using Field Data," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103635, Agricultural and Applied Economics Association.
    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. Amon-Armah, Frederick & Yiridoe, Emmanuel K. & Hebb, Dale & Jamieson, Rob, 2013. "Nitrogen abatement cost comparison for cropping systems under alternative management choices," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149915, Agricultural and Applied Economics Association.
    2. Liu, Xing & Lehtonen, Heikki & Purola, Tuomo & Pavlova, Yulia & Rötter, Reimund & Palosuo, Taru, 2016. "Dynamic economic modelling of crop rotations with farm management practices under future pest pressure," Agricultural Systems, Elsevier, vol. 144(C), pages 65-76.
    3. CARPENTIER, Alain & GOHIN, Alexandre & SCKOKAI, Paolo & THOMAS, Alban, 2015. "Economic modelling of agricultural production: past advances and new challenges," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 96(1), March.
    4. Thang, Tran Cong & Burton, Michael P. & Brennan, Donna C., 2009. "Optimal replanting and cutting rule for coffee farmers in Vietnam," 2009 Conference (53rd), February 11-13, 2009, Cairns, Australia 47638, Australian Agricultural and Resource Economics Society.
    5. Ibirénoyé Romaric Sodjahin & Fabienne Femenia & Obafemi Philippe Koutchade & A. Carpentier, 2022. "On the economic value of the agronomic effects of crop diversification for farmers: estimation based on farm cost accounting data [Valeur économique des effets agronomiques de la diversification de," Working Papers hal-03639951, HAL.
    6. Glen, J. J. & Tipper, R., 2001. "A mathematical programming model for improvement planning in a semi-subsistence farm," Agricultural Systems, Elsevier, vol. 70(1), pages 295-317, October.
    7. Iddo Kan & Ofira Ayalon & Roy Federman, 2010. "On the efficiency of composting organic wastes," Agricultural Economics, International Association of Agricultural Economists, vol. 41(2), pages 151-163, March.
    8. L. Alfandari & J. Lemalade & A. Nagih & G. Plateau, 2011. "A MIP flow model for crop-rotation planning in a context of forest sustainable development," Annals of Operations Research, Springer, vol. 190(1), pages 149-164, October.
    9. Ndivhuho Tshikovhi & Krantisagar More & Zamaswazi Cele, 2023. "Driving Sustainable Growth for Small and Medium Enterprises in Emerging Urban–Rural Economies," Sustainability, MDPI, vol. 15(21), pages 1-11, October.
    10. McCarl, Bruce A., 1986. "Innovations In Programming Techniques For Risk Analysis," Regional Research Projects > 1986: S-180 Annual Meeting, March 23-26, 1986, Tampa, Florida 271825, Regional Research Projects > S-180: An Economic Analysis of Risk Management Strategies for Agricultural Production Firms.
    11. Connor, Jeffery D. & Perry, Gregory M. & Adams, Richard, 1992. "The Influence Of Stochastic Weather, Pollution Predictions And Prices On The Cost Of Nitrate Leaching Reduction," 1992 Annual Meeting, August 9-12, Baltimore, Maryland 271382, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    12. Osaki, Mauro & Batalha, Mário Otavio, 2014. "Optimization model of agricultural production system in grain farms under risk, in Sorriso, Brazil," Agricultural Systems, Elsevier, vol. 127(C), pages 178-188.
    13. Sanna Lötjönen & Markku Ollikainen, 2017. "Does crop rotation with legumes provide an efficient means to reduce nutrient loads and GHG emissions?," Review of Agricultural, Food and Environmental Studies, Springer, vol. 98(4), pages 283-312, December.
    14. MacEwan, Duncan & Howitt, Richard E., 2011. "An Empirical Model of Crop Rotations," 2011 Conference (55th), February 8-11, 2011, Melbourne, Australia 100581, Australian Agricultural and Resource Economics Society.
    15. Alysson Costa & Lana Santos & Douglas Alem & Ricardo Santos, 2014. "Sustainable vegetable crop supply problem with perishable stocks," Annals of Operations Research, Springer, vol. 219(1), pages 265-283, August.
    16. Carpentier, Alain & Gohin, Alexandre, 2015. "On the economic theory of crop rotations: value of the crop rotation effects and implications on acreage choice modeling," Working Papers 205299, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    17. Dillon, Carl R. & Mjelde, James W. & McCarl, Bruce A., 1989. "Biophysical Simulation In Support Of Crop Production Decisions: A Case Study In The Blacklands Region Of Texas," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 21(1), pages 1-14, July.
    18. Giardini, Giovanni, 1992. "The reform of the agricultural policy in the European Economic Community: an Italian farm simulation study," ISU General Staff Papers 1992010108000017587, Iowa State University, Department of Economics.
    19. Ahumada, Omar & Villalobos, J. Rene, 2009. "Application of planning models in the agri-food supply chain: A review," European Journal of Operational Research, Elsevier, vol. 196(1), pages 1-20, July.
    20. Ernst-August Nuppenau, 2018. "Soil Fertility Management by Transition Matrices and Crop Rotation: On Spatial and Dynamic Aspects in Programming of Ecosystem Services," Sustainability, MDPI, vol. 10(7), pages 1-20, June.

    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:iaae18:277282. 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/iaaeeea.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.