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

• Main Authors: Frederic Kosmowski, Alemayehu Ambel, Asmelash H. Tsegay, Alemayehu Teressa Negawo, Jason Carling, Andrzej Kilian, The Central Statistics Agency
• Format: Article
• Language: English
• Published: MDPI AG 2021-06-01
• Series: Data
• Subjects: DNA fingerprinting; measurement errors; farm survey data; agricultural systems; crop production; crop yields
• Online Access: https://www.mdpi.com/2306-5729/6/6/58
• ISSN: 2306-5729

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.