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DGEA1 Baseline Survey (Kenya and Uganda)

Data and Resources

  • Baseline Database for Kenya and Uganda

    The baseline data for Kenya and Uganda

    The following fields are confidential in this dataset

    Table: hhgeoinfo (Description of hhgeoinfo)

    • latitude (Latitude)
    • longitude (Longitude)

    Table: hh_info (household_identification)

    • dataentryclerkname (dataentryclerkname)
    • division (division)
    • enumeratorname (enumeratorname)
    • gpsx (gpsx)
    • gpsy (gpsy)
    • hhcontacts (hhcontacts)
    • hhheadname (hhheadname)
    • location (location)
    • respondentname (respondentname)
    • reviewername (reviewername)
    • village (village)

    Table: section_a_1_1 (Section A: 1.1)

    • religion (religion)
    • religionother (religionother)

    Table: section_a_1_6_dry (Section A: 1.6 Dry)

    • laborer_name (firstname)

    Table: section_a_1_6_rainy (Section A: 1.6 Rainy)

    • first_name (firstname)

    Available formats

  • Baseline Tool

    Baseline Instrument in paper form

    Available formats

    DOCX 28

  • Baseline Tool Manual

    Baseline Instrument Manual

    Available formats

    DOCX 11

  • Data Management Protocol

    Protocol for managing and handling data

    Available formats

    DOCX 12

  • Survey Design & Sampling Protocol

    Survey Design & Sampling Protocol for all instruments in all sites

    Available formats

    DOCX 14

Download as XML (DDI V2.5)

Dataset metadata

Item Value
Created Friday 4th of July, 2014
Last updated Friday 27th of January, 2023
Dataset type Non-spatial
Abstract Germplasm for Dairy Development in East Africa. Phase I: Identifying appropriate germplasm and delivery mechanisms (DGEA1 ). DGEA1 will determine what are the most appropriate genotypes for the range of dairy production systems and levels of production operated by small-holder farmers in East Africa, and how these genotypes can be delivered to small-holders. The project partners will apply high density snp technology to determine breed composition of cows owned by small-holders, and combine this with traditional and participatory appraisal of animal and farm performance to determine which genotypes are most profitable at different levels of production. An assessment of the potential value of importing, testing and delivery of genotypes from elsewhere will be undertaken. A partnership will be developed that has a fully articulated business model ready to implement delivery of germplasm in a Phase II project and beyond. A design will also be developed for better delivery of R4D in livestock genetics in sub-Saharan Africa. This dataset contains the baseline survey data and associated documents.
Principal investigator Dr. Ally Mwai Okeyo
Partners PICOTEAM (Dr. Edward Rege)
Other researchers involved Dr. Julie Ojango, Dr. Isabelle Baltenweck, Dr. James Rao, Dr. Denis Mujiibi, Ms. Elizabeth Jane Poole
Contact person Dr. Ally Mwai Okeyo
Contact email O.MWAI@CGIAR.ORG
Groups
Commodities
Subjects
AGROVOC Tags
Regions
Countries
Data collected from 01/04/2011
Availability date 31/12/2014
License Creative Commons Attribution Share-Alike
Release of confidential data? No
Consent obtained? No
Citation Not yet available
Acknowledgements Not yet available

Project metadata

Item Value
Project title Germplasm for Dairy Development in East Africa. Phase I: Identifying appropriate germplasm and delivery mechanisms (DGEA1)
Project abstract DGEA will determine what are the most appropriate genotypes for the range of dairy production systems and levels of production operated by small-holder farmers in East Africa, and how these genotypes can be delivered to small-holders. The project partners will apply high density snp technology to determine breed composition of cows owned by small-holders, and combine this with traditional and participatory appraisal of animal and farm performance to determine which genotypes are most profitable at different levels of production. An assessment of the potential value of importing, testing and delivery of genotypes from elsewhere will be undertaken. A partnership will be developed that has a fully articulated business model ready to implement delivery of germplasm in a Phase II project and beyond. A design will also be developed for better delivery of R4D in livestock genetics in sub-Saharan Africa.
Grant code UNE001
Donor Bill & Melinda Gates Foundation (BMGF)
Partners University of New England (UNE), Australia (Project lead organisation); ILRI;The Institute for People, Innovation and Change in Organizations (PICOTEAM)
Start date 01/09/2010
End date 31/03/2013
Principal investigator Professor John P Gibson
Other staff involved Dr. Ally Mwai Okeyo, Dr. Julie Ojango, Dr. Isabelle Baltenweck, Dr. James Rao, Dr. Denis Mujiibi, Ms. Elizabeth Jane Poole, Dr. Stephen Kemp
Regions
Countries
Species
ILRI_actydataowner All Project Partners : UNE, ILRI, PICOTEAM
ILRI_actysharingagreement Required for sensitive / private data like GPS coordinate
ILRI_actyusageconditions Usage is restricted to Non-commercial purposes