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A manual for large-scale sample collection, preservation, tracking, DNA extraction, and variety identification analysis

dc.contributor.authorGirma Tessema, G.
dc.contributor.authorRabbi, Ismail Y
dc.contributor.authorOlanrewaju, A.S.
dc.contributor.authorAlaba, O.
dc.contributor.authorKulakow, P.A.
dc.contributor.authorAlabi, T.
dc.contributor.authorAyedun, B.
dc.contributor.authorAbdoulaye, Tahirou
dc.contributor.authorAssfaw Wossen, T.
dc.contributor.authorAlene, A.
dc.contributor.authorManyong, Victor M.
dc.date.accessioned2019-12-04T11:08:05Z
dc.date.available2019-12-04T11:08:05Z
dc.date.issued2017-02
dc.identifier.citationGirma Tessema, G., Rabbi, I.Y., Olanrewaju, A., Alaba, O.A., Kulakow, P., Alabi, T., ... & Manyong, V. (2017). A manual for large-scale sample collection, preservation, tracking, DNA extraction, and variety identification analysis. Ibadan, Nigeria: IITA, (p. 44).
dc.identifier.isbn978-978-8444-83-1
dc.identifier.urihttps://hdl.handle.net/20.500.12478/1716
dc.description.abstractSeveral alternative options have been used for varietal identification. However most of the traditional methods have inherent uncertainty levels and estimates often have wide confidence intervals. In an attempt to circumvent traditional survey-based measurement errors in varietal identification, DNA-based varietal identification has been implemented in the Cassava Monitoring Survey (CMS) of Nigeria — a large adoption study involving 2500 cassava farming households. The DNA fingerprinting technique offers a reliable method to accurately identify varieties grown by farmers and increases accuracy and credibility in the interpretation of adoption rates and associated economic and policy analyses. Unlike phenotype-based methods, DNA is not affected by environmental conditions or plant growth stage and is more abundant than morphological descriptors. However, undertaking a credible DNA-based varietal identification is not a trivial matter because of the logistical challenges involving sample collection and tracking by a large team of field enumerators. This manual presents the detailed steps required for undertaking reliable DNA-fingerprinting-based identification of cassava varieties. In particular, the manual gives detailed information on the establishment of a sample tracking system, preparation of a readily available and cheap sample collection kit, field sample collection methodology, preparation of samples for DNA isolation, and development of a pipeline for variety identification analysis. This manual is part of the outputs of the CMS project funded by the CGIAR Research Program on Roots, Tubers and Bananas (RTB), the Bill & Melinda Gates Foundation, and the International Institute of Tropical Agriculture (IITA).
dc.description.sponsorshipBill & Melinda Gates Foundation
dc.format.extent32 p.
dc.language.isoen
dc.publisherInternational Institute of Tropical Agriculture
dc.subjectCassava
dc.subjectDna Fingerprinting
dc.subjectVariety Identification Analysis
dc.subjectImproved Cassava Cultivars
dc.subjectGenotyping-By-Sequencing
dc.subjectSample Tracking System
dc.titleA manual for large-scale sample collection, preservation, tracking, DNA extraction, and variety identification analysis
dc.typeManual
cg.contributor.crpRoots, Tubers and Bananas
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.coverage.regionAfrica
cg.coverage.regionWest Africa
cg.coverage.countryNigeria
cg.iitasubjectCassava
cg.iitasubjectPlant Genetic Resources
cg.iitasubjectPlant Breeding
cg.howpublishedGrey Literature
cg.publicationplaceIbadan, Nigeria
cg.accessibilitystatusOpen Access
local.dspaceid82984
cg.targetaudienceScientists


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