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

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...

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Detalles Bibliográficos
Autores principales: Kosmowski, Frederic, Ambel, A., Tsegay, A.H., Negawo, Alemayehu T., Carling, J., Kilian, Andrzej, Central Statistics Agency, Ethiopia
Formato: Journal Article
Lenguaje:Inglés
Publicado: MDPI 2021
Materias:
Acceso en línea:https://hdl.handle.net/10568/114696
Descripción
Sumario: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.