{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T00:17:18Z","timestamp":1773101838966,"version":"3.50.1"},"reference-count":17,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2021,6,3]],"date-time":"2021-06-03T00:00:00Z","timestamp":1622678400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000865","name":"Bill and Melinda Gates Foundation","doi-asserted-by":"publisher","award":["OPP1009472"],"award-info":[{"award-number":["OPP1009472"]}],"id":[{"id":"10.13039\/100000865","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/data6060058","type":"journal-article","created":{"date-parts":[[2021,6,3]],"date-time":"2021-06-03T10:59:51Z","timestamp":1622717991000},"page":"58","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A Large-Scale Dataset of Barley, Maize and Sorghum Variety Identification Using DNA Fingerprinting in Ethiopia"],"prefix":"10.3390","volume":"6","author":[{"given":"Frederic","family":"Kosmowski","sequence":"first","affiliation":[{"name":"CGIAR Standing Panel on Impact Assessment (SPIA), Addis Ababa, Ethiopia"}]},{"given":"Alemayehu","family":"Ambel","sequence":"additional","affiliation":[{"name":"World Bank, Washington, DC 20433, USA"}]},{"given":"Asmelash","family":"Tsegay","sequence":"additional","affiliation":[{"name":"World Bank, Addis Ababa, Ethiopia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8974-5321","authenticated-orcid":false,"given":"Alemayehu","family":"Negawo","sequence":"additional","affiliation":[{"name":"International Livestock Research Institute (ILRI), Addis Ababa, Ethiopia"}]},{"given":"Jason","family":"Carling","sequence":"additional","affiliation":[{"name":"Diversity Arrays Technology Pty, University of Canberra, Bruce, ACT 2617, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2730-7462","authenticated-orcid":false,"given":"Andrzej","family":"Kilian","sequence":"additional","affiliation":[{"name":"Diversity Arrays Technology Pty, University of Canberra, Bruce, ACT 2617, Australia"}]},{"name":"The Central Statistics Agency","sequence":"additional","affiliation":[]}],"member":"1968","published-online":{"date-parts":[[2021,6,3]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"758","DOI":"10.1126\/science.1078710","article-title":"Assessing the impact of the Green Revolution, 1960 to 2000","volume":"300","author":"Evenson","year":"2003","journal-title":"Science"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Walker, T.S. (2015). Validating adoption estimates generated by expert opinion and assessing the reliability of adoption estimates with different methods. Crop Improvement, Adoption, and Impact of Improved Varieties in Food Crops in Sub-Saharan Africa, CGIAR Consortium of International Agricultural Research Centers and CAB International.","DOI":"10.1079\/9781780644011.0406"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"14920","DOI":"10.1038\/s41598-018-33080-z","article-title":"DNA fingerprinting at farm level maps rice biodiversity across Bangladesh and reveals regional varietal preferences","volume":"8","author":"Kretzschmar","year":"2018","journal-title":"Sci. Rep."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1017\/S0014479718000030","article-title":"Varietal identification in household surveys: Results from three household-based methods against the benchmark of DNA fingerprinting in southern Ethiopia","volume":"55","author":"Kosmowski","year":"2019","journal-title":"Exp. Agric."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"719","DOI":"10.1111\/1477-9552.12368","article-title":"A Case of Mistaken Identity? Measuring Rates of Improved Seed Adoption in Tanzania Using DNA Fingerprinting","volume":"71","author":"Wineman","year":"2020","journal-title":"J. Agric. Econ."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"18532","DOI":"10.1038\/s41598-020-75181-8","article-title":"Ethiopia\u2019s transforming wheat landscape: Tracking variety use through DNA fingerprinting","volume":"10","author":"Hodson","year":"2020","journal-title":"Sci. Rep."},{"key":"ref_7","unstructured":"Poets, A., Silverstein, K., Pardey, P., Hearne, S., and Stevenson, J. (2020). DNA Fingerprinting for Crop Varietal Identification: Fit-for-Purpose Protocols and Their Cost and Analytical Implications, Standing Panel on Impact Assessment (SPIA)."},{"key":"ref_8","unstructured":"Kosmowski, F., Alemu, S., Mallia, P., Stevenson, J., and Macours, K. (2020). Shining a Brighter Light: Comprehensive Evidence on Adoption and Diffusion of CGIAR-Related Innovations in Ethiopia, CGIAR."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"498","DOI":"10.1111\/ajae.12173","article-title":"Measurement Error Mechanisms Matter: Agricultural intensification with farmer misperceptions and misreporting","volume":"103","author":"Abay","year":"2019","journal-title":"Am. J. Agric. Econ."},{"key":"ref_10","unstructured":"Kosmowski, F., Alemu, S., Mallia, P., Stevenson, J., and Macours, K. (2020). Supplementary Materials for Report \u201cShining a Brighter Light: Comprehensive Evidence on Adoption and Diffusion of CGIAR-Related Innovations in Ethiopia.\u201d, Inter-University Consortium for Political and Social Research."},{"key":"ref_11","unstructured":"Central Statistics Agency, and World Bank (2020). Ethiopia Socioeconomic Survey (ESS) Wave Four (2018\/2019) Basic Information Document Ministry of Agriculture National Strategy for the Development of Statistics."},{"key":"ref_12","unstructured":"World Bank (2021, March 15). The Ethiopian Socioeconomic Survey. Available online: https:\/\/www.worldbank.org\/en\/programs\/lsms\/initiatives\/lsms-ISA#2."},{"key":"ref_13","unstructured":"Central Statistics Agency, and World Bank (2013). Crop Cutting Manual."},{"key":"ref_14","unstructured":"World Bank (2018). Survey Solutions CAPI\/CAWI Platform: Release 4 January 2020, World Bank."},{"key":"ref_15","unstructured":"BMGF (2021, January 11). BMGF Grant. Available online: https:\/\/www.gatesfoundation.org\/How-We-Work\/Quick-Links\/Grants-Database\/Grants\/2015\/11\/OPP1118996."},{"key":"ref_16","unstructured":"Humana, P. (2012). Diversity Arrays Technology: A Generic Genome Profiling Technology on Open Platforms. Data Production and Analysis in Population Genomics, Humana Press."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"S\u00e1nchez-Sevilla, J.F., Horvath, A., Botella, M.A., Gaston, A., Folta, K., Kilian, A., Denoyes, B., and Amaya, I. (2015). Diversity arrays technology (DArT) marker platforms for diversity analysis and linkage mapping in a complex crop, the octoploid cultivated strawberry (Fragaria \u00d7 ananassa). PLoS ONE, 10.","DOI":"10.1371\/journal.pone.0144960"}],"container-title":["Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2306-5729\/6\/6\/58\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T06:10:28Z","timestamp":1760163028000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2306-5729\/6\/6\/58"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,3]]},"references-count":17,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2021,6]]}},"alternative-id":["data6060058"],"URL":"https:\/\/doi.org\/10.3390\/data6060058","relation":{},"ISSN":["2306-5729"],"issn-type":[{"value":"2306-5729","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,6,3]]}}}