A large-scale dataset of barley, maize and sorghum variety identification using dna fingerprinting in Ethiopia
cg.authorship.types | CGIAR and developing country institute | en |
cg.authorship.types | CGIAR and advanced research institute | en |
cg.contributor.affiliation | CGIAR Standing Panel on Impact Assessment | en |
cg.contributor.affiliation | World Bank | en |
cg.contributor.affiliation | International Livestock Research Institute | en |
cg.contributor.affiliation | University of Canberra | en |
cg.contributor.affiliation | Central Statistics Agency, Ethiopia | en |
cg.contributor.crp | Livestock | en |
cg.contributor.donor | Bill & Melinda Gates Foundation | en |
cg.coverage.country | Ethiopia | en |
cg.coverage.iso3166-alpha2 | ET | en |
cg.coverage.region | Africa | en |
cg.coverage.region | Eastern Africa | en |
cg.creator.identifier | Alemayehu Teressa Negawo: 0000-0001-8974-5321 | en |
cg.howPublished | Formally Published | en |
cg.identifier.dataurl | https://doi.org/10.3886/e124681v9 | en |
cg.identifier.doi | https://doi.org/10.3390/data6060058 | en |
cg.isijournal | ISI Journal | en |
cg.issn | 2306-5729 | en |
cg.issue | 6 | en |
cg.journal | Data | en |
cg.reviewStatus | Peer Review | en |
cg.subject.ilri | CROP-LIVESTOCK | en |
cg.subject.ilri | CROPS | en |
cg.subject.ilri | DATA | en |
cg.subject.ilri | FARMING SYSTEMS | en |
cg.subject.ilri | FEEDS | en |
cg.subject.ilri | FODDER | en |
cg.subject.ilri | FORAGES | en |
cg.subject.ilri | LIVESTOCK | en |
cg.volume | 6 | en |
dc.contributor.author | Kosmowski, Frederic | en |
dc.contributor.author | Ambel, A. | en |
dc.contributor.author | Tsegay, A.H. | en |
dc.contributor.author | Negawo, Alemayehu T. | en |
dc.contributor.author | Carling, J. | en |
dc.contributor.author | Kilian, Andrzej | en |
dc.contributor.author | Central Statistics Agency, Ethiopia | en |
dc.date.accessioned | 2021-08-18T11:29:50Z | en |
dc.date.available | 2021-08-18T11:29:50Z | en |
dc.identifier.uri | https://hdl.handle.net/10568/114696 | |
dc.title | A large-scale dataset of barley, maize and sorghum variety identification using dna fingerprinting in Ethiopia | en |
dcterms.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. | en |
dcterms.accessRights | Open Access | en |
dcterms.audience | CGIAR | en |
dcterms.audience | Donors | en |
dcterms.available | 2021-06-03 | en |
dcterms.bibliographicCitation | 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. | en |
dcterms.issued | 2021-06-03 | en |
dcterms.language | en | en |
dcterms.license | CC-BY-4.0 | en |
dcterms.publisher | MDPI | en |
dcterms.subject | crop production | en |
dcterms.subject | dna fingerprinting | en |
dcterms.subject | farm surveys | en |
dcterms.subject | crop yield | en |
dcterms.subject | farming systems | en |
dcterms.subject | data | en |
dcterms.subject | sorghum | en |
dcterms.subject | barley | en |
dcterms.subject | maize | en |
dcterms.type | Journal Article | en |
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