IRTG 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

Status
abgeschlossen
Projektbeginn
01.06.2004
Projektende
30.05.2013
Förderkennzeichen
DFG-GRK 1070
Beschreibung

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.

Beteiligte Personen

  • Prof. Dr. Wang Pu, Prof. Dr. Chen Qing, Guo Buqing

Beteiligte Einrichtungen

  • China Agricultural University, Beijing

Förderer

Publikationen im Rahmen des Projekts