Project code: DFG-GRK 1070
Contract period: 01.01.2004
Purpose of research: Basic research
In the second phase of subproject 3.1 is envisaged to model representative farms. The models will be structured in a way that not only the production but also the material balances can be represented. In particular the nitrogen balance, the carbon balance and the water balance will be incorporated. Gas and particulate matter emissions can be considered as well, as far as there are sufficient data available.
The modelling aims at integrating on farm level all baseline data surveyed in other sub-projects and at quantifying and valuating at farm level the already worked out management measures for reducing environmental burden while increasing production efficiency. The focus will be on measures for reducing nitrogen fertilisation, the interrelation between management activities and carbon/nitrogen balance, effects of nitrogen deposition on the operational nutrient management, water efficiency, etc. Another part for the impact analysis shall be the extent to which cropping practices elaborated in other sub-projects can be alternatives for the prevailing wheat-maize-rotation. Thereby cotton, groundnuts, soybeans, vegetables, and row intercropping are to be analysed and valued on farm level. Furthermore, the sub-project shall provide other sub-projects with indicators which are necessary in order to optimise breeding and management programmes under consideration of economic factors. Another aim of the sub-project is to carry out economic impact analyses of possible policy measures. To do so, realistic concepts of the Chinese agricultural policy as e.g. a reduction of the subsidies on means of production, in particular on nitrogen, water, etc. and their possible impact on quantities produced, input quantities applied, nutrient and water efficiency, income and other criteria are to be investigated. Furthermore, the influence of stages of an increasing mechanisation on production, income and structural changes can be investigated. Finally, open questions and approaches for further research will be derived through a sensitivity analysis.