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Statistical modelling of nitrogen use efficiency of dairy farms in Flanders

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Abstract

In the past decade it has repeatedly been shown that agriculture is a significant source of ground- and surface water pollution. Nitrogen losses and nitrogen use efficiency (NUE) are major concerns in agricultural practice and of policy-makers. Rapid intensification of livestock production, a result of the focus on increasing productivity from the 1950s onwards, has contributed to a large increase in nutrient surpluses. Here, we performed a quantitative analysis of the variables influencing the nitrogen use efficiency in Flemish grassland-based farming systems. The analysis was based on the large dataset of the Farm Accountancy Data Network, holding technical and economic data of Flemish farms. A statistical model is proposed by performing multiple regression with several variable selection procedures. Many combinations of variables were studied in 92 models and different criteria were taken into account to select the most adequate combination of variables. This approach focuses on a deep statistical analysis and interpretation of the model. The novelty of this research is the quantification and comparison of the influence of different inputs and other variables in nitrogen use efficiency at the farm level. Our results show that, contrary to current knowledge, a higher nitrogen use efficiency was observed for farms with a higher number of ‘Dairy cows ha−1’, holding the rest of the N inputs constant. A higher stocking density is compatible with a higher agricultural sustainability. It is demonstrated that the amount of milk N produced by added cows is higher than the decrease in milk N produced by each single cow due to a reduced input of feed N per cow. The dairy cow becomes more efficient in the use of N, increasing the farm-gate NUE and the farm sustainability. In the dataset of this study, the variable ‘Dairy cows ha−1’ is more relevant than suggested by previous studies: 1.4 times more relevant than the variable ‘kg of N in fertilisers ha−1’, which is 1.5 times more relevant than ‘kg of N in concentrates ha−1’. According to previous knowledge, the N input variables present a negative sign. Decreasing the N input in fertilisers, concentrates and by-products are recommended actions to increase the NUE. Unexpected interaction effects were found.

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References

  • Borsting C.F., Kristensen T., Misciattelli L., Hvelplund T., Weisbjerg M.R. (2003) Reducing nitrogen surplus from dairy farms. Effects of feeding and management, Livest. Prod. Sci. 83, 165–178.

    Article  Google Scholar 

  • Carpenter S.R., Caraco N.F., Correll D.L., Howarth R.W., Sharpley A.N., Smith V.H. (1998) Non-point pollution of surface waters with phosphorus and nitrogen, Ecol. Appl. 8, 559–568.

    Article  Google Scholar 

  • Goodlass G., Halberg N., Verschuur G. (2003) Input output accounting systems in the European community — an appraisal of their usefulness in raising awareness of environmental problems, Eur. J. Agron. 20, 17–24.

    Article  Google Scholar 

  • Hadas A., Sagiv B., Haruvy N. (1999) Agricultural practices, soil fertility management modes and resultant nitrogen leaching rates under semi-arid conditions, Agr. Water Manage. 42, 81–95.

    Article  Google Scholar 

  • Hair J.F., Anderson R.E., Tatham R.L., Black W.C. (1998) Multivariate data analysis, Fifth edition, Prentice-Hall International, New Jersey.

    Google Scholar 

  • Hanegraaf M., den Boer D.J. (2003) Perspectives and limitations of the Dutch minerals accounting system (MINAS), Eur. J. Agron. 20, 25–31.

    Article  Google Scholar 

  • Hansen B., Kristensen E.S., Grant R., Hogh-Jensen H., Simmelsgaard S.E., Olesen J.E. (2000) Nitrogen leaching from conventional versus organic farming systems — a systems modelling approach, Eur. J. Agron. 13, 65–82.

    Article  CAS  Google Scholar 

  • Hanson J.D., Skiles J.W., Parton W.J. (1988) A multi-species model for rangeland plant communities, Ecol. Model. 44, 89–123.

    Article  Google Scholar 

  • Heathwaite A.L., Johnes P.J., Peters N.E. (1996) Trends in nutrients, Hydrol. Process. 10, 263–293.

    Article  Google Scholar 

  • Kebreab E., France J., Beever D.E., Castillo A.R. (2001) Nitrogen pollution by dairy cows and its mitigation by dietary manipulation, Nutr. Cycl. Agroecosys. 60, 275–285.

    Article  Google Scholar 

  • Kuipers A., Mandersloot F. (1999) Reducing nutrient losses on dairy farms in The Netherlands, Livest. Prod. Sci. 61, 139–144.

    Article  Google Scholar 

  • Montgomery D.C., Peck E.A., Vining G.G. (2001) Introduction to linear regression analysis, John Wiley & Sons, New York.

    Google Scholar 

  • Nevens F. (2003) Nitrogen use efficiency in grassland, silage maize and ley/arable rotations, PhD Thesis, Ghent University, Belgium.

    Google Scholar 

  • Nevens F., Verbruggen I., Reheul D., Hofman G. (2006) Farm gate nitrogen surpluses and nitrogen use efficiency of specialized dairy farms is Flanders: Evolution and future goals, Agr. Syst. 88, 142–155.

    Article  Google Scholar 

  • Oenema O., Boers P.C.M., Van Eerdt M.M., Fraters B., Van der Meer H.G., Roest C.W.J., Schröder J.J., Willems W.J. (1998) Leaching of nitrate from agriculture to groundwater: the effect of policies and measures in the Netherlands, Environ. Pollut. 102, 471–478.

    Article  CAS  Google Scholar 

  • Oenema O., Koskamp G.J., Galama P.J. (2001) Guiding commercial pilot farms to bridge the gap between experimental and commercial dairy farms; the project ‘Cows and Opportunities’, Neth. J. Agr. Sci. 49, 277–296.

    Google Scholar 

  • Oenema O., Pietrzak S. (2002) Nutrient management in food production: achieving agronomic and environmental targets, Ambio 31, 159–168.

    PubMed  Google Scholar 

  • Oenema O., Van Liere L., Schoumans O. (2005) Effects of lowering nitrogen and phosphorus surpluses in agricultura on the quality of groundwater and surface water in the Netherlands, J. Hydrol. 304, 289–301.

    Article  CAS  Google Scholar 

  • Ondersteijn C.J.M. (2002) Nutrient management strategies on Dutch dairy farms: an empirical analysis, PhD Thesis, Wageningen University, The Netherlands.

    Google Scholar 

  • Rejesus R.M., Hornbaker R.H. (1999) Economic and environmental evaluation of alternative pollution-reducing nitrogen management practices in central Illinois, Agr. Ecosyst. Environ. 75, 41–53.

    Article  Google Scholar 

  • Swensson C. (2003) Analyses of mineral element valances between 1997 and 1999 from farms in the south of Sweden, Eur. J. Agron. 20, 63–69.

    Article  CAS  Google Scholar 

  • Van Gijseghem D., Overloop S. (2002) Milieuen natuurrapport Vlaanderen, Achtergronddocument 2002, 2.12 Vermesting. Vlaamse Milieumaatschappij, 75 p.

  • Van Passel S. (2007) Sustainability performance of farms: an efficiency approach, PhD Thesis Ghent University, Belgium.

    Google Scholar 

  • Von Eye A., Schuster C. (1998) Regression analysis for social sciences, Academic Press, San Diego.

    Google Scholar 

  • Wells S.A., Cole T.M. (2001) TMDLS: Statistical correlations or mechanistic modelling? The National TMDL Science and Policy Conference, November 13–16, Phoenix, Arizona.

  • Yadav S.N., Peterson W., Easter K.W. (1997) Do farmers overuse nitrogen fertilizer to the detriment of the environment? Environ. Resour. Econ. 9, 323–340.

    Article  Google Scholar 

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Correspondence to Elena Ramírez.

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Ramírez, E., Reheul, D. Statistical modelling of nitrogen use efficiency of dairy farms in Flanders. Agron. Sustain. Dev. 29, 339–352 (2009). https://doi.org/10.1051/agro/2008065

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