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

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    U17ManGirmantessemaManualNothomNodev.pdf (1.178Mb)
    Date
    2017-02
    Author
    Girma Tessema, G.
    Rabbi, Ismail Y
    Olanrewaju, A.S.
    Alaba, O.
    Kulakow, P.A.
    Alabi, T.
    Ayedun, B.
    Abdoulaye, Tahirou
    Assfaw Wossen, T.
    Alene, A.
    Manyong, Victor M.
    Type
    Manual
    Target Audience
    Scientists
    Metadata
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    Abstract/Description
    Several 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).
    Permanent link to this item
    https://hdl.handle.net/20.500.12478/1716
    IITA Subjects
    Cassava; Plant Genetic Resources; Plant Breeding
    Agrovoc Terms
    Cassava; Dna Fingerprinting; Variety Identification Analysis; Improved Cassava Cultivars; Genotyping-By-Sequencing; Sample Tracking System
    Regions
    Africa; West Africa
    Countries
    Nigeria
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    • Training Materials and Manuals127
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