IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v102y2009i1-3p11-16.html
   My bibliography  Save this article

Crop rotations in Argentina: Analysis of water balance and yield using crop models

Author

Listed:
  • Salado-Navarro, Luis R.
  • Sinclair, Thomas R.

Abstract

Cropping schemes have developed in east-central Argentina for rainfed soybean (Glycine max Merr.) production that invariably employ no-tillage management. Often these schemes include growing soybean in a sequence of crops including wheat (Triticum aestivum L.) and maize (Zea mays L.). The full impact of various rotation schemes on soil water balance through a sequence of seasons has not been explored, although the value of these rotations has been studied experimentally. The objective of this work was to investigate through simulations, potential differences in temporal soil water status among rotations over five years. In this study, mechanistic models of soybean (Soy), maize (Maz), and wheat (Wht) were linked over a five-years period at Marcos Juárez, Argentina to simulate soil water status, crop growth, and yield of four no-till rotations (Soy/Soy, Soy/Wht, Soy/Maz, and Soy/Maz/Wht). Published data on sowing dates and initial soil water contents in the first year from a no-till rotation experiment were used as inputs to the model. After the first year, soil water status output from the model was used to initiate the next crop simulation in the sequence. The results of these simulations indicated a positive impact on soil water balance resulting from crop residue on the soil surface under no-till management. Continuous soybean and the two-year soybean/maize rotation did not efficiently use the available water from rainfall. Residue from maize was simulated to be especially effective in suppressing soil evaporation. Thus, the Soy/Maz simulation results indicated that this rotation resulted in enhanced soil water retention, increased deep water percolation, and increased soybean yields compared with continuous soybean crops. The simulated results matched well with experimental observations. The three-crop rotation of Soy/Maz/Wht did not increase simulated soybean yields, but the additional water retained as a result of decreased soil evaporation resulting from the maize residue allowed the addition of a wheat crop in this two-year rotation. Simulated soybean yields were poorly correlated with both the amount of soil water at sowing and the rainfall during the cropping period. These results highlight the importance of temporal distribution of rainfall on final yield. These models proved a valuable tool for assessing the consequences of various rotation schemes now being employed in Argentina on temporal soil water status, and ultimately crop yield.

Suggested Citation

  • Salado-Navarro, Luis R. & Sinclair, Thomas R., 2009. "Crop rotations in Argentina: Analysis of water balance and yield using crop models," Agricultural Systems, Elsevier, vol. 102(1-3), pages 11-16, October.
    • Handle: RePEc:eee:agisys:v:102:y:2009:i:1-3:p:11-16
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308-521X(09)00068-7
    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. Sinclair, T.R. & Salado-Navarro, L.R. & Salas, Graciela & Purcell, L.C., 2007. "Soybean yields and soil water status in Argentina: Simulation analysis," Agricultural Systems, Elsevier, vol. 94(2), pages 471-477, May.
    2. Messina, C. D. & Hansen, J. W. & Hall, A. J., 1999. "Land allocation conditioned on El Nino-Southern Oscillation phases in the Pampas of Argentina," Agricultural Systems, Elsevier, vol. 60(3), pages 197-212, June.
    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. Zhao, Zhiyuan & Zheng, Wei & Ma, Yanting & Wang, Xianling & Li, Ziyan & Zhai, Bingnian & Wang, Zhaohui, 2020. "Responses of soil water, nitrate and yield of apple orchard to integrated soil management in Loess Plateau, China," Agricultural Water Management, Elsevier, vol. 240(C).
    2. Choumert, Johanna & Phélinas, Pascale, 2015. "Determinants of agricultural land values in Argentina," Ecological Economics, Elsevier, vol. 110(C), pages 134-140.
    3. Salassi, Michael E. & Deliberto, Michael A. & Guidry, Kurt M., 2013. "Economically optimal crop sequences using risk-adjusted network flows: Modeling cotton crop rotations in the southeastern United States," Agricultural Systems, Elsevier, vol. 118(C), pages 33-40.
    4. Julia Tomei & Stella Semino & Helena Paul & Lilian Joensen & Mario Monti & Erling Jelsøe, 2010. "Soy production and certification: the case of Argentinean soy-based biodiesel," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 15(4), pages 371-394, April.

    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. Jesse B. Tack & David Ubilava, 2015. "Climate and agricultural risk: measuring the effect of ENSO on U.S. crop insurance," Agricultural Economics, International Association of Agricultural Economists, vol. 46(2), pages 245-257, March.
    2. Meinke, H. & Baethgen, W. E. & Carberry, P. S. & Donatelli, M. & Hammer, G. L. & Selvaraju, R. & Stockle, C. O., 2001. "Increasing profits and reducing risks in crop production using participatory systems simulation approaches," Agricultural Systems, Elsevier, vol. 70(2-3), pages 493-513.
    3. Ranganathan, C. & Palanisami, K. & Kakumanu, K. & Baulraj, A., 2011. "Mainstreaming the Adaptations and Reducing the Vulnerability of the Poor due to Climate Change," ADBI Working Papers 333, Asian Development Bank Institute.
    4. David Ubilava, 2014. "El Niño Southern Oscillation and the fishmeal–soya bean meal price ratio: regime-dependent dynamics revisited," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 41(4), pages 583-604.
    5. Ying Zhang & Liangzhi You & Donghoon Lee & Paul Block, 2020. "Integrating climate prediction and regionalization into an agro-economic model to guide agricultural planning," Climatic Change, Springer, vol. 158(3), pages 435-451, February.
    6. Kusunose, Yoko & Mahmood, Rezaul, 2016. "Imperfect forecasts and decision making in agriculture," Agricultural Systems, Elsevier, vol. 146(C), pages 103-110.
    7. Villoria, Nelson B. & Delgado, Michael, 2017. "Worldwide Crop Supply Responses to El Niño Southern Oscillation," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258564, Agricultural and Applied Economics Association.
    8. Grassini, Patricio & You, Jinsheng & Hubbard, Kenneth G. & Cassman, Kenneth G., 2010. "Soil water recharge in a semi-arid temperate climate of the Central U.S. Great Plains," Agricultural Water Management, Elsevier, vol. 97(7), pages 1063-1069, July.
    9. Asseng, Senthold & Thomas, Dean & McIntosh, Peter & Alves, Oscar & Khimashia, Nirav, 2012. "Managing mixed wheat–sheep farms with a seasonal forecast," Agricultural Systems, Elsevier, vol. 113(C), pages 50-56.
    10. Bert, Federico E. & Laciana, Carlos E. & Podesta, Guillermo P. & Satorre, Emilio H. & Menendez, Angel N., 2007. "Sensitivity of CERES-Maize simulated yields to uncertainty in soil properties and daily solar radiation," Agricultural Systems, Elsevier, vol. 94(2), pages 141-150, May.
    11. Hansen, James W., 2002. "Realizing the potential benefits of climate prediction to agriculture: issues, approaches, challenges," Agricultural Systems, Elsevier, vol. 74(3), pages 309-330, December.
    12. Rubas, Debra J. & Mjelde, James W. & Love, H. Alan, 2003. "Wheat Trade And The Adoption Of Enso-Based Forecasts: Different Scenarios," 2003 Annual meeting, July 27-30, Montreal, Canada 22160, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    13. Sadras, Victor & Roget, David & Krause, Mike, 2003. "Dynamic cropping strategies for risk management in dry-land farming systems," Agricultural Systems, Elsevier, vol. 76(3), pages 929-948, June.
    14. Jagtap, S. S. & Jones, J. W. & Hildebrand, P. & Letson, D. & O'Brien, J. J. & Podesta, G. & Zierden, D. & Zazueta, F., 2002. "Responding to stakeholder's demands for climate information: from research to applications in Florida," Agricultural Systems, Elsevier, vol. 74(3), pages 415-430, December.
    15. van Dam, J. & Faaij, A.P.C. & Hilbert, J. & Petruzzi, H. & Turkenburg, W.C., 2009. "Large-scale bioenergy production from soybeans and switchgrass in Argentina: Part B. Environmental and socio-economic impacts on a regional level," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 1679-1709, October.
    16. World Bank, 2010. "Improving Water Management in Rainfed Agriculture : Issues and Options in Water-Constrained Production Systems," World Bank Publications - Reports 13028, The World Bank Group.
    17. Nguyen, Thanh Cong & Robinson, Jackie & Kaneko, Shinji & Komatsu, Satoru, 2013. "Estimating the value of economic benefits associated with adaptation to climate change in a developing country: A case study of improvements in tropical cyclone warning services," Ecological Economics, Elsevier, vol. 86(C), pages 117-128.
    18. Ojeda, J.J. & Pembleton, K.G. & Islam, M.R. & Agnusdei, M.G. & Garcia, S.C., 2016. "Evaluation of the agricultural production systems simulator simulating Lucerne and annual ryegrass dry matter yield in the Argentine Pampas and south-eastern Australia," Agricultural Systems, Elsevier, vol. 143(C), pages 61-75.
    19. Meza, Francisco J. & Wilks, Daniel S., 2004. "Use of seasonal forecasts of sea surface temperature anomalies for potato fertilization management. Theoretical study considering EPIC model results at Valdivia, Chile," Agricultural Systems, Elsevier, vol. 82(2), pages 161-180, November.
    20. Choi, Hyung Sik & Schneider, Uwe A. & Rasche, Livia & Cui, Junbo & Schmid, Erwin & Held, Hermann, 2015. "Potential effects of perfect seasonal climate forecasting on agricultural markets, welfare and land use: A case study of Spain," Agricultural Systems, Elsevier, vol. 133(C), pages 177-189.

    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:102:y:2009:i:1-3:p:11-16. 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.