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On-farm compliance costs and N surplus reduction of mixed dairy farms under grassland-based feeding systems

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  • Mack, Gabriele
  • Huber, Robert

Abstract

Grassland-based feeding systems have the potential to reduce N input in agriculture through lower use of concentrates. Switzerland has recently introduced a new voluntary grassland-based milk and meat programme that restricts the concentrate and maize use in milk production systems. We analysed the on-farm compliance costs and the N surplus reduction potential for a sample of 2004 mixed dairy farms using farm-optimisation models implemented in the agent-based agricultural sector model SWISSland. Based on the simulation results, we used regression analysis to identify driving forces for the level of compliance costs and the reduction in N surplus of farms which allowed to investigate the effectiveness and the efficiency of the programme for the whole farm population. Our results imply that a payment for reducing the on-farm consumption of concentrate and maize feed does not substantially reduce N surpluses in Swiss agriculture. The heterogeneity of farms results in a distribution of compliance costs with a large group of farms having no or minimal costs. With the current payment of 200 CHF per hectare, reductions of 10.7 and 26.3tonnes of N can be achieved at high costs of 57 and 161 CHF per kg N in the lowland and mountain region respectively. Results also imply that specialisation represented by a high proportion of milk production, high levels of milk yields per cow as well as high milk prices increases the on-farm compliance costs of the programme. In contrast, diversification strategies that focus on intensive milk production in combination with additional low N fed livestock to optimise the use of grass at farm level reduces the compliance costs.

Suggested Citation

  • Mack, Gabriele & Huber, Robert, 2017. "On-farm compliance costs and N surplus reduction of mixed dairy farms under grassland-based feeding systems," Agricultural Systems, Elsevier, vol. 154(C), pages 34-44.
  • Handle: RePEc:eee:agisys:v:154:y:2017:i:c:p:34-44
    DOI: 10.1016/j.agsy.2017.03.003
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    3. Mack, G. & Finger, R. & Ammann, J. & El Benni, N., 2023. "Modelling policies towards pesticide-free agricultural production systems," Agricultural Systems, Elsevier, vol. 207(C).
    4. Devotha G. Nyambo & Thomas Clemen, 2023. "Differential Assessment of Strategies to Increase Milk Yield in Small-Scale Dairy Farming Systems Using Multi-Agent Modelling and Simulation," Agriculture, MDPI, vol. 13(3), pages 1-13, February.
    5. Kuhn, T. & Enders, A. & Gaiser, T. & Schäfer, D. & Srivastava, A.K. & Britz, W., 2020. "Coupling crop and bio-economic farm modelling to evaluate the revised fertilization regulations in Germany," Agricultural Systems, Elsevier, vol. 177(C).
    6. Mack, Gabriele & Ritzel, Christian & Jan, Pierrick, 2020. "Determinants for the Implementation of Action-, Result- and Multi-Actor-Oriented Agri-Environment Schemes in Switzerland," Ecological Economics, Elsevier, vol. 176(C).
    7. Schaefer, David & Britz, Wolfgang & Kuhn, Till, 2020. "Modelling policy induced manure transports at large scale using an agent-based simulation model," Discussion Papers 305270, University of Bonn, Institute for Food and Resource Economics.
    8. Kuhn, Till & Schäfer, David & Holm-Müller, Karin & Britz, Wolfgang, 2019. "On-farm compliance costs with the EU-Nitrates Directive: A modelling approach for specialized livestock production in northwest Germany," Agricultural Systems, Elsevier, vol. 173(C), pages 233-243.
    9. Adenuga, Adewale Henry & Davis, John & Hutchinson, George & Patton, Myles & Donnellan, Trevor, 2020. "Analysis of the effect of alternative agri-environmental policy instruments on production performance and nitrogen surplus of representative dairy farms," Agricultural Systems, Elsevier, vol. 184(C).
    10. Schiavon, Stefano & Sturaro, Enrico & Tagliapietra, Franco & Ramanzin, Maurizio & Bittante, Giovanni, 2019. "Nitrogen and phosphorus excretion on mountain farms of different dairy systems," Agricultural Systems, Elsevier, vol. 168(C), pages 36-47.

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