IDEAS home Printed from
   My bibliography  Save this article

Dairy farm nutrient management model. 1. Model description and validation


  • Nousiainen, J.
  • Tuori, M.
  • Turtola, E.
  • Huhtanen, P.


Intensive dairy farming results in significant phosphorus (P) emission to the environment. Field data indicates that farm-gate P surplus is highly positive in Finland and strategies to mitigate the surplus are needed. The objectives of this study were to build a P cycle model for dairy farms (1) and to validate the model with independent field data (2). The dairy farm nutrient management model ("Lypsikki") described in this paper includes three sub-models: (1) soil and crop, (2) dairy herd and (3) manure management. The model is based on empirical regression equations allowing estimations of crop and milk yields in response to increased fertilisation and nutrient supply, respectively. In addition, the model includes a dynamic simulation model of the dairy herd structure and calculation of the farm-gate nutrient surplus. The model was validated with independent annual (average for 1-4Â years) farm-gate P surplus data from 21 dairy farms. Model simulations were conducted using two levels of soil productivity, mean (M) and low (L). The model validation indicated a strong relationships between model-predicted and observed farm-gate P surplus: (M: R2Â =Â 0.77 and L: R2Â =Â 0.80). The line bias between the model-predicted and observed data was negligible and insignificant (PÂ >Â 0.6) suggesting a robustness of the model. The mean biases were relatively high and significant (M: 4.7 and L: 1.8Â kg/ha, PÂ

Suggested Citation

  • Nousiainen, J. & Tuori, M. & Turtola, E. & Huhtanen, P., 2011. "Dairy farm nutrient management model. 1. Model description and validation," Agricultural Systems, Elsevier, vol. 104(5), pages 371-382, June.
  • Handle: RePEc:eee:agisys:v:104:y:2011:i:5:p:371-382

    Download full text from publisher

    File URL:
    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

    1. Huhtanen, Pekka & Nousiainen, Juha & Turtola, Eila, 2011. "Dairy farm nutrient management model: 2. Evaluation of different strategies to mitigate phosphorus surplus," Agricultural Systems, Elsevier, vol. 104(5), pages 383-391, June.
    2. Buysse, J. & Van Huylenbroeck, G. & Vanslembrouck, I. & Vanrolleghem, P., 2005. "Simulating the influence of management decisions on the nutrient balance of dairy farms," Agricultural Systems, Elsevier, vol. 86(3), pages 333-348, December.
    3. van Calker, K. J. & Berentsen, P. B. M. & de Boer, I. M. J. & Giesen, G. W. J. & Huirne, R. B. M., 2004. "An LP-model to analyse economic and ecological sustainability on Dutch dairy farms: model presentation and application for experimental farm "de Marke"," Agricultural Systems, Elsevier, vol. 82(2), pages 139-160, November.
    Full references (including those not matched with items on IDEAS)


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

    Cited by:

    1. Tanure, Soraya & Nabinger, Carlos & Becker, João Luiz, 2013. "Bioeconomic model of decision support system for farm management. Part I: Systemic conceptual modeling," Agricultural Systems, Elsevier, vol. 115(C), pages 104-116.
    2. Soraya Tanure & Carlos Nabinger & João Luiz Becker, 2015. "Bioeconomic Model of Decision Support System for Farm Management: Proposal of a Mathematical Model," Systems Research and Behavioral Science, Wiley Blackwell, vol. 32(6), pages 658-671, November.
    3. Viaggi, Davide & Raggi, Meri & Gomez y Paloma, Sergio, 2011. "Farm-household investment behaviour and the CAP decoupling: Methodological issues in assessing policy impacts," Journal of Policy Modeling, Elsevier, vol. 33(1), pages 127-145, January.
    4. Huhtanen, Pekka & Nousiainen, Juha & Turtola, Eila, 2011. "Dairy farm nutrient management model: 2. Evaluation of different strategies to mitigate phosphorus surplus," Agricultural Systems, Elsevier, vol. 104(5), pages 383-391, June.


    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:104:y:2011:i:5:p:371-382. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.