A large-scale dataset of barley, maize and sorghum variety identification using dna fingerprinting in Ethiopia

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Date Issued

Date Online

2021-06-03

Language

en

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Peer Review

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Open Access Open Access

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CC-BY-4.0

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Citation

Kosmowski, F., Ambel, A., Tsegay, A.H., Negawo, A.T., Carling, J., Kilian, A. and The Central Statistics Agency. 2021. A large-scale dataset of barley, maize and sorghum variety identification using dna fingerprinting in Ethiopia. Data 6(6):58.

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Abstract/Description

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.

Author ORCID identifiers

Alemayehu Teressa Negawo  
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