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

Research output: Contribution to journalShort Survey/Scientific Reportpeer-review

2 Citations (Scopus)

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
Original languageEnglish
Article number58
Pages (from-to)1-8
Number of pages8
JournalDATA
Volume6
Issue number6
DOIs
Publication statusPublished - 3 Jun 2021

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