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GRK 1070 SP 2.1: Design, modeling and evaluation of improved cropping strategies and multi-level interactions in mixed cropping systems in the North China Plain

Project

Production processes

This project contributes to the research aim 'Production processes'. Which funding institutions are active for this aim? What are the sub-aims? Take a look:
Production processes


Project code: DFG-GRK 1070
Contract period: 01.01.2004 - 01.01.2013
Purpose of research: Basic research

In China, the productivity of arable land needs to be further increased. However, with N-fertilizer rates being extremely high already and due to a shortage of irrigation water, further yield increases are not possible by increasing the amount of these input factors. Strategies to reduce or avoid negative environmental effects including water saving while maintaining high yields have to be developed. Yield increases, may be possible by appropriately adjusting cropping systems, either by design (e.g. intercropping as a mixed cropping system), crop sequence and rotation, or improved input factor efficiency. The main objective of this subproject will be to design, model and evaluate improved cropping strategies and multi-level interactions in mixed cropping systems. Based on a process-oriented modeling approach, the project will emphasize on the evaluation of cropping system prototypes including different crops (spring maize, summer maize, wheat, peanut), different designs (intercropping, mixed cropping), different crop sequences and rotations (e.g. spring maize monoculture versus double cropping winter wheat-summer maize) and different input factor levels of water and nitrogen for different regions and agro-climatic conditions in the North China Plain. By doing so, the project aims at exploring the possibilities and at creating new methodologies for improving the cropping systems in the North China Plain. Within the modeling approach competitive relationships between crop species regarding yield, solar radiation, water and nitrogen will be analyzed and modeled. The project will design the necessary methods and basic approaches for the description of the relevant indicator parameters and transfer these into a thorough modeling approach.

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Subjects

Excutive institution

Department Agronomy (340a)

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