Data management in multi-disciplinary African RTB crop breeding programs
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...
| Main Authors: | , , , , , , , , , |
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| Format: | Book Chapter |
| Language: | Inglés |
| Published: |
Springer
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/127999 |
| _version_ | 1855514636614369280 |
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| author | Agbona, A . Peteti, P. Teeken, Béla Olaosebikan, O. Bello, A.A. Parkes, Elizabeth Y. Rabbi, I.Y. Mueller, L. Egesi, Chiedozie N. Kulakow, Peter A. |
| author_browse | Agbona, A . Bello, A.A. Egesi, Chiedozie N. Kulakow, Peter A. Mueller, L. Olaosebikan, O. Parkes, Elizabeth Y. Peteti, P. Rabbi, I.Y. Teeken, Béla |
| author_facet | Agbona, A . Peteti, P. Teeken, Béla Olaosebikan, O. Bello, A.A. Parkes, Elizabeth Y. Rabbi, I.Y. Mueller, L. Egesi, Chiedozie N. Kulakow, Peter A. |
| author_sort | Agbona, A . |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| 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. |
| format | Book Chapter |
| id | CGSpace127999 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | CGSpace1279992025-12-08T09:54:28Z Data management in multi-disciplinary African RTB crop breeding programs Agbona, A . Peteti, P. Teeken, Béla Olaosebikan, O. Bello, A.A. Parkes, Elizabeth Y. Rabbi, I.Y. Mueller, L. Egesi, Chiedozie N. Kulakow, Peter A. genotypes phenotypes databases ontology data management 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. 2023 2023-01-24T09:25:07Z 2023-01-24T09:25:07Z Book Chapter https://hdl.handle.net/10568/127999 en Open Access application/pdf Springer Agbona, 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). |
| spellingShingle | genotypes phenotypes databases ontology data management Agbona, A . Peteti, P. Teeken, Béla Olaosebikan, O. Bello, A.A. Parkes, Elizabeth Y. Rabbi, I.Y. Mueller, L. Egesi, Chiedozie N. Kulakow, Peter A. Data management in multi-disciplinary African RTB crop breeding programs |
| title | Data management in multi-disciplinary African RTB crop breeding programs |
| title_full | Data management in multi-disciplinary African RTB crop breeding programs |
| title_fullStr | Data management in multi-disciplinary African RTB crop breeding programs |
| title_full_unstemmed | Data management in multi-disciplinary African RTB crop breeding programs |
| title_short | Data management in multi-disciplinary African RTB crop breeding programs |
| title_sort | data management in multi disciplinary african rtb crop breeding programs |
| topic | genotypes phenotypes databases ontology data management |
| url | https://hdl.handle.net/10568/127999 |
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