Skip to main content Accessibility help

Fumigene: a model to study the impact of management rules and constraints on agricultural waste allocation at the farm level

  • X. CHARDON (a1) (a2) (a3), C. RAISON (a3), A. LE GALL (a3), T. MORVAN (a4) (a5) and P. FAVERDIN (a1) (a2)...


In France, many dairy farms plan the allocation of animal wastes to the fields of the farm at the beginning of every year. This decision is complex, because many factors must be taken into account at the field and farm scales, including increasingly constraining environmental regulations. To evaluate the environmental impact of waste allocation strategies, these strategies have to be translated into consistent decisions. The objective of the current study was to reproduce the decisions made by farmers, in a wide range of contexts. For this purpose, a linear programming model that could help in generating yearly waste allocations was developed. The model, called Fumigene, takes into account the farmer's preferences and environmental, agronomic and feasibility constraints. It was applied on two case farms and the simulated waste allocations were compared to those chosen by the farmers over periods of 3 and 4 years, respectively. The evaluation showed that the waste allocations generated by the model were consistent with the strategies of the farmers. Fumigene was then used in investigating the impact of taking into account the phosphorus (P) fertilization constraints instead of only the nitrogen constraints. In the case studied, balancing P fertilization over 5 years led to small changes in waste allocation. Balancing P fertilization every year caused bigger changes and led to export of a part of the wastes. In a general way, Fumigene can be coupled with environmental evaluation tools to compare the impacts of different waste allocation strategies.


Corresponding author

*To whom all correspondence should be addressed. Email:


Hide All
Attonaty, J.-M., Chatelin, M. H. & Garcia, F. (1999). Interactive simulation modeling in farm decision-making. Computers and Electronics in Agriculture 22, 157170.
Berkelaar, M., Eikland, K. & Notebaert, P. (2005). lp_solve: Open Source (Mixed-integer) Linear Programming System. Available from: (verified 10 July 2008).
BRETAGNE ENVIRONNEMENT (2003). Chiffres cles de l'environnement en Bretagne. Rennes, France: Bretagne Environnement.
Centner, T. J. & Feitshans, T. A. (2006). Regulating manure application discharges from concentrated animal feeding operations in the United States. Environmental Pollution 141, 571573.
Comifer, (1996). Calcul de la fertilisation azotée des cultures annuelles. Guide méthodologique pour l'établissement des préconisations locales. Paris, France: Comité Français d'Etude et de Développement de la Fertilisation Raisonnée.
Decau, M.-L., Simon, J.-C. & Jacquet, A. (2003). Fate of urine nitrogen in three soils throughout a grazing season. Journal of Environmental Quality 32, 14051413.
Deenen, P. J. A. G. & Middelkoop, N. (1992). Effects of cattle dung and urine on nitrogen uptake and yield of perennial ryegrass. Netherlands Journal of Agricultural Science 40, 469482.
Edwards-Jones, G. (2006). Modelling farmer decision-making: concepts, progress and challenges. Animal Science 82, 783790.
Giasson, E., Bryant, R. B. & Bills, N. L. (2002). Environmental and economic optimization of dairy manure management: a mathematical programming approach. Agronomy Journal 94, 757766.
Jacobsen, B. H., Petersen, B. M., Berntsen, J., Boye, C., Sørensen, C. G., Søgaard, H. T. & Hansen, J. P. (1998). An integrated economic and environmental farm simulation model (FASSET). In Danish Institute of Agricultural and Fisheries Economics, Report No. 102. Copenhagen, Denmark: Danish Institute of Agricultural and Fisheries Economics.
Karmakar, S., Laguë, C., Agnew, J. & Landry, H. (2007). Integrated decision support system (DSS) for manure management: a review and perspective. Computers and Electronics in Agriculture 57, 190201.
Machet, J., Dubrulle, P. & Louis, P. (1990). AZOBIL: a computer program for fertilizer N recommendations based on a predictive balance sheet method. In Proceedings of the First Congress of the European Society of Agronomy (Ed. Scaife, A.), p. 21. Paris, France: European Society of Agronomy.
Morvan, T., Ruiz, L. & Viaud, V. (2007). Cumulative effects of applications of organic fertilizers on soil organic matter dynamics. In Proceedings of the 16th International CIEC Symposium. Ghent, Belgium.
Pratt, P., Davis, S. & Sharpless, R. (1976). A four-year field trial with animal manures. II. Mineralization of nitrogen. Hilgardia 44, 113125.
Remy, J. C. & Hebert, J. (1977). Le devenir des engrais azotés dans le sol. Comptes Rendus de l'Acadamie Agriculture de France 63, 700710.
Schmitt, M. A., Levins, R. A. & Richardson, D. W. (1997). Manure Application Planner (MAP): Software for environmental and economical nutrient planning. Journal of Production Agriculture 10, 441446.

Fumigene: a model to study the impact of management rules and constraints on agricultural waste allocation at the farm level

  • X. CHARDON (a1) (a2) (a3), C. RAISON (a3), A. LE GALL (a3), T. MORVAN (a4) (a5) and P. FAVERDIN (a1) (a2)...


Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed