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Data management in multi-disciplinary African RTB crop breeding programs

dc.contributor.authorAgbona, A.
dc.contributor.authorPeteti, P.
dc.contributor.authorTeeken, B.
dc.contributor.authorOlaosebikan, O.
dc.contributor.authorBello, A.A.
dc.contributor.authorParkes, E.
dc.contributor.authorRabbi, I.Y.
dc.contributor.authorMueller, L.
dc.contributor.authorEgesi, C.
dc.contributor.authorKulakow, P.
dc.date.accessioned2023-01-24T09:31:27Z
dc.date.available2023-01-24T09:31:27Z
dc.date.issued2023
dc.identifier.citationAgbona, A., Peteti, P., Teeken, B., Olaosebikan, O., Bello, A., Parkes, E., ... & Kulakow, P. (2023). Data management in multi-disciplinary African RTB crop breeding programs. In H.F. Williamson and S. Leonelli, Towards responsible plant data linkage: data challenges for agricultural research and development. Cham, Switzerland: Springer, (p. 85-103).
dc.identifier.isbn978-3-031-13275-9
dc.identifier.urihttps://hdl.handle.net/20.500.12478/8017
dc.description.abstractQuality 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.
dc.format.extent85-103
dc.language.isoen
dc.publisherSpringer
dc.subjectGenotypes
dc.subjectPhenotypes
dc.subjectDatabases
dc.subjectOntology
dc.subjectData Management
dc.titleData management in multi-disciplinary African RTB crop breeding programs
dc.typeBook Chapter
cg.contributor.crpRoots, Tubers and Bananas
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationBoyce Thompson Institute for Plant Research
cg.coverage.regionAfrica
cg.coverage.regionWest Africa
cg.coverage.countryNigeria
cg.coverage.hubHeadquarters and Western Africa Hub
cg.researchthemeBiotech and Plant Breeding
cg.researchthemeSocial Science and Agribusiness
cg.identifier.bibtexciteidAGBONA:2023
cg.authorship.typesCGIAR and advanced research institute
cg.iitasubjectAgronomy
cg.iitasubjectCassava
cg.iitasubjectFood Security
cg.iitasubjectPlant Breeding
cg.iitasubjectPlant Production
cg.notesPublished online: 27 Oct 2022
cg.publicationplaceCham, Switzerland
cg.accessibilitystatusOpen Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCreative Commons Attribution 4.0 (CC BY 0.0)
cg.targetaudienceScientists
cg.identifier.doihttps://dx.doi.org/10.1007/978-3-031-13276-6_5
cg.iitaauthor.identifierPrasad Peteti: 0000-0002-6013-8947
cg.iitaauthor.identifierBéla Teeken: 0000-0002-3150-1532
cg.iitaauthor.identifierOlamide Olaosebikan: 0000-0003-1470-1150
cg.iitaauthor.identifierBello Abolore: 0000-0002-8871-6163
cg.iitaauthor.identifierE J Parkes: 0000-0003-4063-1483
cg.iitaauthor.identifierIsmail Rabbi: 0000-0001-9966-2941
cg.iitaauthor.identifierChiedozie Egesi: 0000-0002-9063-2727
cg.iitaauthor.identifierPeter Kulakow: 0000-0002-7574-2645
cg.futureupdate.requiredNo


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