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

Frederic Kosmowski, Alemayehu Ambel, Asmelash H. Tsegay, Alemayehu Teressa Negawo, Jason Carling, Andrzej Kilian and The Central Statistics Agency
Additional contact information
Frederic Kosmowski: CGIAR Standing Panel on Impact Assessment (SPIA), Addis Ababa, Ethiopia
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.

Data, 2021, vol. 6, issue 6, 1-7

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.

Keywords: DNA fingerprinting; measurement errors; farm survey data; agricultural systems; crop production; crop yields (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2021
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