Options for intensification of common bean cultivation for smallholder farmers in the Northern Highlands of Tanzania through rotations and/or intercropping

Submitted by eliakira.nassary on
    Organizational Context
    Name
    Eliakira Kisetu Nassary
    Chairgroup
    Plant Production Systems and Centre for Crop Systems Analysis
    Graduate school
    Production Ecology and Resource Conservation
    Start date of project
    Abstract

    Common bean (Phaseolus vulgaris L.) is an important food grain legume in the Northern highlands of Tanzania. It serves as a subsistence crop for dietary nutrition and small surplus is marketed. It can also improve soil fertility through N2-fixation. Maize is the staple food crop and together with common bean they account for over 80% of food crops produced in Hai district but their yields are very low because of poor soil fertility and low or no use of fertilizers. The main research question addressed in the current research project is to investigate whether the poor soil fertility in Hai district could be overcome through intensification of common bean production to increase N2-fixation. This is through rotations and/or intercropping of maize with different varieties of common bean. Seeding rate and spatial arrangements of maize with improved and local arrangements such that plant population is not altered will be evaluated.  It is expected that soil fertility and crop yields will be improved differently in common bean cropping systems and spatial arrangements. Improved variety of common bean is expected to demonstrate a threefold increase in yield because of good vigour and resistance to diseases compared with local variety.

    Role supervisor

    To provide daily guidance pertaining to progress of field work, compilation of the data, analysis of the data, write-up, smoothening the entire research activity, and to provide recommendations on the reputable journals for publication, and need for presentations in workshops, conferences, seminars, symposia, etc,

    Who's collecting the data

    The data is collected by me PhD candidate in collaboration with trained personnels.

    Who's analysing the data

    Me PhD candidate is to analyse the data.

    Location short 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: DataModelPaper 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.

    Backup procedure

    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). 

    Research data with value for long term storage

    All field and lab data related to crop performance, yield, N2 fixation and soil ferility, farmers'impression on the diversification of the cropping practices will be stored.  

    Research data excluded for long term storage. Why?

    No research data will be excluded for long term storage. This is a field work so samples will be kept in the archive for inference in cases similar studies are conducted in line with the current study.  

    Plans for sharing data?

    The data and scientific information generated from the study will be shared for outreach through podcasters, posters, paper publications etc

    How to access data once you leave?

    Will be acced from PPS and the N2Africa Project which retains the the copyright of the whole work.

    Specific funders requirements for sharing data, or to impose embargo?

    Only N2Africa Project under Ken Giller

    Other parties involved? Agreements on data sharing?

    All rights remain solely for the N2Africa Project

    Other persons contributing (e.g. writing code)

    Trained persons in the field and labs

    Other persons with specific responsibility for data?

    Supervisors and Statistician from PPS are the key persons in the clarity of the analysed data

    Privacy, security issues? How you deal with them?

    Every pertinent information is communicated to Ken Giller who is my Promoter and the Founder of N2Africa Project.