Organizational Context
Common bean and chickpea are among the legumes important in Ethiopian agriculture and their production is mainly limited by the availability of soil nitrogen and phosphorous. Nitrogen fixation in these crops is achieved by different soil bacteria called rhizobia but their effectiveness is known to depend on legume genotype, rhizobial strain, soil environment and agronomic practices. Inoculation by effective rhizobia is often proposed as a way of overcoming soil fertility constraints for resource poor farmers. Successful implementation of this strategy will depend on identifying strains that are effective on current legume varieties. To achieve this detailed knowledge on the patterns of genotype by strain interactions and their determinants are essential. Therefore, this project intends to investigate the interaction between different common bean/chickpea genotypes and rhizobial strains in terms of effectiveness and to determine to what extent these interactions depend on the genetic and geographic origin of legumes and rhizobia. This project will be conducted in laboratory and greenhouse with collaboration of N2Africa, Hawassa University and Wageningen University.
Roles
Professor Ken Giller is the promoter for this project. Dr Rene Guerts of the Laboratory of Molecular Biology will advice and provide necessary assistance in the molecular biology aspect of the project. Dr Joost van Heerwaarden will serve as the daily supervisor and provide necessary assistance on data analysis.
Dr Endalkachew Woldemeskel (International Livestock Research Institute (ILRI), Addis Ababa, Ethiopia) and Dr. Tulu Degefu (Adama Science and Technology University, Adama, Ethiopia), will be responsible for the rhizobiology supervisory.
I am going to collect the data
All analysis will be carried out by me with assistance from my supervisors and particularily from Dr Joost van Heerwaarden
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 my M-drive or if the amount of data exceeds 50 Gb 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.
None
Sharing and Ownership
As far as possible all data will be publically available.
The PhD Library site of PPS: On this location all data for each chapter of my thesis will be stored in a separate zip file.
None
N2Africa
N2Africa has the sole right for release of data information from this project.
My supervisors are fully responsible for any other contribution aside from me in this project.
Full responsibility for the management of the collected datasets will be provided by N2Africa and PPS, WUR.
All privacy sensitive data will be excluded from the datasets that will be made publicly available.