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A Large-Scale Dataset of Barley, Maize and Sorghum Variety Identification Using DNA Fingerprinting in Ethiopia

Author

Listed:
  • Frederic Kosmowski

    (CGIAR Standing Panel on Impact Assessment (SPIA), Addis Ababa, Ethiopia)

  • Alemayehu Ambel

    (World Bank, Washington, DC 20433, USA)

  • Asmelash H. Tsegay

    (World Bank, Addis Ababa, Ethiopia)

  • Alemayehu Teressa Negawo

    (International Livestock Research Institute (ILRI), Addis Ababa, Ethiopia)

  • Jason Carling

    (Diversity Arrays Technology Pty, University of Canberra, Bruce, ACT 2617, Australia)

  • Andrzej Kilian

    (Diversity Arrays Technology Pty, University of Canberra, Bruce, ACT 2617, Australia)

  • The Central Statistics Agency

    (Membership of The Central Statistics Agency is provided in the Acknowledgments.)

Abstract

The data described in this paper were part of a large-scale nationally representative household survey, the Ethiopian Socioeconomic Survey (ESS 2018/19). Grain samples of barley, maize and sorghum were collected in six regions in Ethiopia. Variety identification was assessed by matching samples to a reference library composed of released improved materials, using approximately 50,000 markers from DArTseq platforms. This data were part of a study documenting the reach of CGIAR-related germplasms in Ethiopia. These objective measures of crop varietal adoption, unique in the public domain, can be analyzed along with a large set of variables related to agro-ecologies, household characteristics and plot management practices, available in the Ethiopian Socioeconomic Survey 2018/19.

Suggested Citation

  • Frederic Kosmowski & Alemayehu Ambel & Asmelash H. Tsegay & Alemayehu Teressa Negawo & Jason Carling & Andrzej Kilian & The Central Statistics Agency, 2021. "A Large-Scale Dataset of Barley, Maize and Sorghum Variety Identification Using DNA Fingerprinting in Ethiopia," Data, MDPI, vol. 6(6), pages 1-7, June.
    • Handle: RePEc:gam:jdataj:v:6:y:2021:i:6:p:58-:d:568111
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    References listed on IDEAS

    as
    1. Kibrom A. Abay & Leah E. M. Bevis & Christopher B. Barrett, 2021. "Measurement Error Mechanisms Matter: Agricultural Intensification with Farmer Misperceptions and Misreporting," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(2), pages 498-522, March.
    2. Ayala Wineman & Timothy Njagi & C. Leigh Anderson & Travis W. Reynolds & Didier Yélognissè Alia & Priscilla Wainaina & Eric Njue & Pierre Biscaye & Miltone W. Ayieko, 2020. "A Case of Mistaken Identity? Measuring Rates of Improved Seed Adoption in Tanzania Using DNA Fingerprinting," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 719-741, September.
    3. Abay, Kibrom A. & Bevis, Leah E.M. & Barrett, Christopher B., 2019. "Measurement Error Mechanisms Matter: Agricultural intensification with farmer misperceptions and misreporting," 2019 Sixth International Conference, September 23-26, 2019, Abuja, Nigeria 295189, African Association of Agricultural Economists (AAAE).
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