H.F.M. ten Berge

An evaluation of whole-farm nitrogen balances and related indices for efficient nitrogen use

Quantification of nitrogen (N) flows creates awareness among farmers, can help them to re-evaluate N management and may reduce nitrate loss to groundwater. Hence, whole-farm balances play a crucial role in legislation on N management in Netherlands. This paper reviews the strengths and weaknesses of whole-farm balances for assessment of the environmental impact of agriculture. The usefulness and reliability of a balance strongly depends on its completeness. The surplus per unit area indicates the environmental impact, provided that all relevant terms are included. However, the surplus per unit area, the surplus per unit output and the output per unit input, as derived from the balance, may not represent accurate indicators of the operational management skills of a farmer, as these estimates not only depend on the conversion of N within the farm, but also on the extent to which the farm relies on animal feed produced outside the farm and the extent to which processing of crops takes place outside the farm. Without additional information on the processes underlying the whole-farm level and N fluxes at spatial scales above the level of an individual farm, whole-farm balances do not reveal the nature and magnitude of losses, nor do they provide sufficient clues how to improve the efficiency of N use.

Farming options for The Netherlands explored by multi-objective modelling

Abstract Intensive agriculture in The Netherlands has a price in the form of environmental degradation and the diminution of nature and landscape values. A reorientation of farming is needed to find a new balance between economic goals and rural employment, and care for clean water and air, animal well-being, safe food, and the preservation of soil, landscape and biodiversity. The search for farm systems that meet such multiple goals requires a systematic combination of (a) agrotechnical, agroecological and agroeconomic knowledge, with (b) the stakeholders’ joint agreement on normative objectives, to arrive at conceptual new designs followed by (c) empirical work to test, adapt and refine these under real commercial farming conditions. In this paper explorative modelling at the whole farm level is presented as a method that effectively integrates component knowledge at crop or animal level, and outlines the consequences of particular choices on scientific grounds. This enables quantitative consideration of a broad spectrum of alternative farming systems, including very innovative and risky ones, before empirical work starts. It thus contributes to a transparent learning and development process needed to arrive at farm concepts acceptable to both entrepreneurs and society. Three case studies are presented to illustrate the method: dairy farming on sandy soils; highly intensified flower bulb industry in sensitive areas in the western Netherlands; and integrated arable farming. Trade-offs between economic and environmental objectives were assessed in all three cases, as well as virtual farm configurations that best satisfy specified priority settings of objectives. In two of the three cases the mutual reinforcement and true integration of modelling and on-farm empirical research appeared difficult, but for obvious reasons. Only in the flower bulb case was the explorative approach utilized to its full potential by involving a broad platform of stakeholders. The other two case studies lacked such formalised platforms and their impact remained limited. Three critical success factors for explorative modelling are identified: to cover a well-differentiated spectrum of possible production technologies; early timing of modelling work relative to empirical farm prototyping; and involvement of stakeholders throughout.

Limits to nitrogen use on grassland.

Data from nitrogen (N) response experiments on grassland in Belgium and the Netherlands were analysed with the help of a descriptive crop N response model, to identify permissible doses below which no accumulation occurs of residual mineral soil N in autumn. N(min). Using different years as separate sets, a total of 29 data sets were obtained from eight locations on various soil types. A large variation was found in N(min) base levels (unfertilised) between locations and between years at a given location. For doses low enough not to affect crop N recovery, every 100 kg N applied was associated with 3-4 kg residual N(min) in autumn. This is considered very low compared to N(min) base levels, but values differed significantly from zero. After normalising N-doses from different sources (mineral fertiliser and cattle slurry) with the help of a coefficient expressing effectiveness based on crop N uptake, no difference was found between fertiliser and slurry in terms of their effect on residual Nmin. The above also holds for nitrate leaching as measured. The sources do differ, however, with respect to long-term effects and these are quantified with a first-order approximation. It it shown that, also after incorporation of long-term effects, much higher N-doses on grassland are justified than the 170 kg N per ha per year in animal manures currently proposed by the European Commission. On normal productive cut grassland as in the analysed experiments, total N doses in cattle slurry up to 400 kg per ha per year have very little effect on residual N(min), if not accompanied by high fertiliser doses. Introducing limits to the use of animal manures on grassland without limiting the input of mineral fertiliser-N lacks any scientific ground.