In this project, we aim to strengthen the knowledge base for modelling crop yield in intercropping systems grown under potential growing conditions that is under sufficient supply of water and nutrients, and in the absence of pests and diseases. Experiments for growth analyses of maize and wheat in intercrops and single crops will be conducted in Wageningen, in order to document crop growth and yield response to intercropping in different planting patterns. Detailed measurements will be made to quantify plant development and growth in sole and mixed cropping systems, and account for changes in phenology, leaf area dynamics, plant height and dry matter partitioning in different planting patterns. A model for intercrop performance will be developed using a state-of-the art crop modelling framework, and calibrated and tested using the collected empirical data. Preliminary land use studies will be conducted for Europe and oasis agriculture in Gansu Province, China, to contrast regional yield potentials when using single or mixed cropping.
Organizational Context
Roles
Prof.dr.ir. M.K. van Ittersum
Dr.ir. W. van der Werf
Fang Gou
Fang Gou
Short and long term storage
All data will be stored on my local harddisk in a folder called Thesis.
Within this Thesis folder, I'll create per chapter the folders: Data, Model, Paper and Scripts. The Data folder has two sub-folders called: Raw and Processed.
Folder contents:
- Data - Raw sub-folder: Contains all raw data and meta-data (a description of your data).
- Data - Processed sub-folder: Contains all processed data.
- Model folder: Complete listing of the model and the model results & analysis.
- Paper folder: Text of a chapter / paper.
- Scripts folder: Contains all scripts used.
The complete content of my local Thesis folder will be stored on the backup server of PPS.
During periods I'm abroad, I'll backup the complete content of my local Thesis folder to a Dropbox Thesis folder and share the contents with my supervisor(s).
All datasets used for my project, analysis reports, publications, posters.
Sharing and Ownership
Data collecting: Peter van der Putten, Niel Verhoog, Antoine Couëdel Elisabeth Simon, Guoyu Wang
Code writing: Junqi Zhu
No