DGEA1 Baseline Survey (Kenya and Uganda)
Data and Resources
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Baseline Database for Kenya and Uganda
The baseline data for Kenya and Uganda
The following fields are confidential in this datasetTable: 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
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Baseline Tool
Baseline Instrument in paper form
Available formats
DOCX28 -
Baseline Tool Manual
Baseline Instrument Manual
Available formats
DOCX11 -
Data Management Protocol
Protocol for managing and handling data
Available formats
DOCX12 -
Survey Design & Sampling Protocol
Survey Design & Sampling Protocol for all instruments in all sites
Available formats
DOCX14
Dataset metadata
Item | Value |
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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 |
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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 |
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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 |