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    Data management in multi-disciplinary African RTB crop breeding programs

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    Book Chapter (810.8Kb)
    Date
    2023
    Author
    Agbona, A.
    Peteti, P.
    Teeken, B.
    Olaosebikan, O.
    Bello, A.A.
    Parkes, E.
    Rabbi, I.Y.
    Mueller, L.
    Egesi, C.
    Kulakow, P.
    Type
    Book Chapter
    Review Status
    Peer Review
    Target Audience
    Scientists
    Metadata
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    Abstract/Description
    Quality phenotype and genotype data are important for the success of a breeding program. Like most programs, African breeding programs generate large multi-disciplinary phenotypic and genotypic datasets from several locations, that must be carefully managed through the use of an appropriate database management system (DBMS) in order to generate reliable and accurate information for breedingdecisions. A DBMS is essential in data collection, storage, retrieval, validation, curation and analysis in plant breeding programs to enhance the ultimate goal of increasing genetic gain. The International Institute of Tropical Agriculture (IITA), working on the roots, tubers and banana (RTB) crops like cassava, yam, banana and plantain has deployed a FAIR-compliant (Findable, Accessible, Interoperable, Reusable) database; BREEDBASE. The functionalities of this database in data management and analysis have been instrumental in achieving breeding goals. Standard Operating Procedures (SOP) for each breeding process have been developed to allow a cognitive walkthrough for users. This has further helped to increase the usage and enhance the acceptability of the system. The wide acceptability gained among breeders in global cassava research programs has resulted in improvements in the precision and quality of genotype and phenotype data, and subsequent improvement in achievement of breeding program goals. Several innovative gender responsive approaches and initiatives have identified users and their preferences which have informed improved customer and product profiles. A remaining bottleneck is the effective linking of data on preferences and social information of crop users with technical breeding data to make this process more effective.
    https://dx.doi.org/10.1007/978-3-031-13276-6_5
    Multi standard citation
    Permanent link to this item
    https://hdl.handle.net/20.500.12478/8017
    IITA Authors ORCID
    Prasad Petetihttps://orcid.org/0000-0002-6013-8947
    Béla Teekenhttps://orcid.org/0000-0002-3150-1532
    Olamide Olaosebikanhttps://orcid.org/0000-0003-1470-1150
    Bello Abolorehttps://orcid.org/0000-0002-8871-6163
    E J Parkeshttps://orcid.org/0000-0003-4063-1483
    Ismail Rabbihttps://orcid.org/0000-0001-9966-2941
    Chiedozie Egesihttps://orcid.org/0000-0002-9063-2727
    Peter Kulakowhttps://orcid.org/0000-0002-7574-2645
    Digital Object Identifier (DOI)
    https://dx.doi.org/10.1007/978-3-031-13276-6_5
    Research Themes
    Biotech and Plant Breeding; Social Science and Agribusiness
    IITA Subjects
    Agronomy; Cassava; Food Security; Plant Breeding; Plant Production
    Agrovoc Terms
    Genotypes; Phenotypes; Databases; Ontology; Data Management
    Regions
    Africa; West Africa
    Countries
    Nigeria
    Hubs
    Headquarters and Western Africa Hub
    Collections
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