Maize Yield Gaps and their Mitigation in Ethiopia: Exploration and Redesign

Submitted by workneh.kenea on
    Organizational Context
    Name
    Workneh Bekere Kenea
    Chairgroup
    Plant Productions Systems
    Graduate school
    PE & RC
    Start date of project
    Abstract

    Maize is an important cereal crop in Ethiopia. It is grown in all regions of the country and used as staple food. Studies have revealed that water limited yield gaps of the country are often greater than 10 tonnes (http://www.yieldgap.org/ethiopia). To mitigate the current high maize yield gap in maize growing CRV and Western highlands of Ethiopia, improved crop management options need to be explored. As yield of the crop depends on supplied inputs, in depth understanding of input-output relations is important for defining the technical means for achieving the target yield. Farm households are different in their resource endowments and farm management practices. As a result, there is no single maize yield gap mitigating solution but  rather, different options is needed for different regions, farms and soil classes. The majority of smallholder farmers depends on maize for their livelihoods. Hence, improving the productivity of maize would address the food security of many people of the country. Therefore, we propose exploration of alternative crop management technology options; quantifying the impact of nutrient management, weed management and plant density on maize yield gap mitigation; redesigning these options under realistic field conditions while incorporating farmers’ views and objectives, and scaling up of these findings to regions based on biophysical and socio-economical similarities.

    Role supervisor

    Prof. Martin van Ittersum is the promotor and overall supervisor, whereas Dr Pytrik Reidsma and Dr Katrein Dachemaeker are daily supervisors. Dr. Tesfaye Balemi is a co-supervisor of this thesis from the TAMASA project based in Ethiopia. Meeting will be held with supervisory team every two weeks. Prof. Martin is an expertise of Production Ecology and Yield Gap Analysis at various scales. Dr. Pytrik is an expertise of integrated assessment of  farming systems, and bio-economic farm modelling whereas Dr. Katrein is an  expertise of  Farming System Analysis in sub-Saharan Africa. Dr. Tesfaye is an agronomist.

    Who's collecting the data

    For the exploration and farm plan developement activities (objectives 1 and 4), data will be accessed from “Sustainable intensification of Maize-Legume Cropping Systems for food security in Eastern and Southern Africa (SIMLESA)’’ project of International Maize and Wheat Improvement Center (CIMMYT); ‘‘Integrated assessment of the determinants of the MAize yield gap in sub-Saharan Africa: towards farm INnovation and Enabling policies (IMAGINE)’’ project led by Wageningen UR and ‘‘Taking Maize Agronomy to Scale in Africa (TAMASA)’’ project led by CIMMYT. For the other objectives (2 and 3) I and TAMASA staff will collect the required data. It is also acquired from other PhD student who is working on the description and explanation of maize yield gap in Ethiopia.     

    Who's analysing the data

    Workneh will 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 data  that are used for my project, analysis reports, publications, posters.

    Research data excluded for long term storage. Why?

    Some data will remain the property of the organizations who own them. These data may be excluded from long term storage.

    Plans for sharing data?

    All data will be stored on the PhD Library Site of PPS and made available to public. Some data that belongs to other organization will not be stored on this site.

    For data sharing, agreements will be made between the organization I am working for and the one with which data sharing is intended.

    How to access data once you leave?

    The data will be stored on in the PhD Library site of PPS. All data of my thesis for each chapter will be stored on different zip file.

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

    No

    Other parties involved? Agreements on data sharing?

    Yes, data sharing agreements will be signed with the owner party. 

    Other persons contributing (e.g. writing code)

    TAMASA staff and WUR (PPS staff) will be consulted. 

    Other persons with specific responsibility for data?

    Project representative persons will be contacted.  Moti Jaleta (CIMMYT)  and Joao Silva (PhD student at PPS-WUR) will be contacted for SIMLESA data. Jordan Chamberlin (CIMMYT) will be contacted for TAMASA farm household data. For nutrient management data of TAMASA project, Tesfaye Balemi ((CIMMYT) will be contacted.  Kindie Tesfaye (CIMMYT) and Marloes Van Loon (post-doc in PPS-WUR) will be contacted for IMAGINE data.

    Privacy, security issues? How you deal with them?

    Privacy sensitive issues will be removed from the data before storage, sharing and publication.