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

Frederic Kosmowski; Alemayehu Ambel; Asmelash H. Tsegay; Alemayehu Teressa Negawo; Jason Carling; Andrzej Kilian

doi:10.3390/data6060058

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

Frederic Kosmowski, Alemayehu Ambel, Asmelash H. Tsegay, Alemayehu Teressa Negawo, Jason Carling, Andrzej Kilian

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Research output: Contribution to journal › Short Survey/Scientific Report › peer-review

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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

Original language	English
Article number	58
Pages (from-to)	1-8
Number of pages	8
Journal	DATA
Volume	6
Issue number	6
DOIs	https://doi.org/10.3390/data6060058
Publication status	Published - 3 Jun 2021

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ArticleFinal published version, 1.1 MBLicence: CC BY

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

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",

keywords = "DNA fingerprinting, measurement errors, farm survey data, agricultural systems, crop production, crop yields, Crop yields, Measurement errors, Crop production, Agricultural systems, Farm survey data",

author = "Frederic Kosmowski and Alemayehu Ambel and Tsegay, {Asmelash H.} and Negawo, {Alemayehu Teressa} and Jason Carling and Andrzej Kilian",

note = "Funding Information: Funding: This research was funded by CGIAR SPIA and the Bill & Melinda Gates Foundation through the Strengthening Impact Assessment in the CGIAR (SIAC) program (grant number OPP1009472). Publisher Copyright: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2021",

month = jun,

day = "3",

doi = "10.3390/data6060058",

language = "English",

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T1 - A Large-Scale Dataset of Barley, Maize and Sorghum Variety Identification Using DNA Fingerprinting in Ethiopia

AU - Kosmowski, Frederic

AU - Ambel, Alemayehu

AU - Tsegay, Asmelash H.

AU - Negawo, Alemayehu Teressa

AU - Carling, Jason

AU - Kilian, Andrzej

N1 - Funding Information: Funding: This research was funded by CGIAR SPIA and the Bill & Melinda Gates Foundation through the Strengthening Impact Assessment in the CGIAR (SIAC) program (grant number OPP1009472). Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

PY - 2021/6/3

Y1 - 2021/6/3

N2 - 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

AB - 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

KW - DNA fingerprinting

KW - measurement errors

KW - farm survey data

KW - agricultural systems

KW - crop production

KW - crop yields

KW - Crop yields

KW - Measurement errors

KW - Crop production

KW - Agricultural systems

KW - Farm survey data

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U2 - 10.3390/data6060058

DO - 10.3390/data6060058

M3 - Short Survey/Scientific Report

SN - 2306-5729

VL - 6

SP - 1

EP - 8

JO - DATA

JF - DATA

IS - 6

M1 - 58

ER -

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

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