Post-composing ontology terms for efficient phenotyping in plant breeding
Ontologies are widely used in databases to standardize data, improving data quality, integration, and ease of comparison. Within ontologies tailored to diverse use cases, post-composing user-defined terms reconciles the demands for standardization on the one hand and flexibility on the other. In man...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
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Oxford University Press
2025
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| Online Access: | https://hdl.handle.net/10568/173982 |
| _version_ | 1855540969231876096 |
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| author | Menda, Naama Ellerbrock, Bryan J. Simoes, Christiano C. Karaikal, Srikanth Kumar Nyaga, Christine Flores-Gonzalez, Mirella Tecle, Isaak Y. Lyon, David Agbona, Afolabi Agre, Paterne A. Peteti, Prasad Akech, Violet Asiimwe, Amos Fauvelle, Eglantine Meghar, Karima Tran, Thierry Dufour, Dominique Cooper, Laurel Laporte, Marie-Angelique Arnaud, Elizabeth Mueller, Lukas A |
| author_browse | Agbona, Afolabi Agre, Paterne A. Akech, Violet Arnaud, Elizabeth Asiimwe, Amos Cooper, Laurel Dufour, Dominique Ellerbrock, Bryan J. Fauvelle, Eglantine Flores-Gonzalez, Mirella Karaikal, Srikanth Kumar Laporte, Marie-Angelique Lyon, David Meghar, Karima Menda, Naama Mueller, Lukas A Nyaga, Christine Peteti, Prasad Simoes, Christiano C. Tecle, Isaak Y. Tran, Thierry |
| author_facet | Menda, Naama Ellerbrock, Bryan J. Simoes, Christiano C. Karaikal, Srikanth Kumar Nyaga, Christine Flores-Gonzalez, Mirella Tecle, Isaak Y. Lyon, David Agbona, Afolabi Agre, Paterne A. Peteti, Prasad Akech, Violet Asiimwe, Amos Fauvelle, Eglantine Meghar, Karima Tran, Thierry Dufour, Dominique Cooper, Laurel Laporte, Marie-Angelique Arnaud, Elizabeth Mueller, Lukas A |
| author_sort | Menda, Naama |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Ontologies are widely used in databases to standardize data, improving data quality, integration, and ease of comparison. Within ontologies tailored to diverse use cases, post-composing user-defined terms reconciles the demands for standardization on the one hand and flexibility on the other. In many instances of Breedbase, a digital ecosystem for plant breeding designed for genomic selection, the goal is to capture phenotypic data using highly curated and rigorous crop ontologies, while adapting to the specific requirements of plant breeders to record data quickly and efficiently. For example, post-composing enables users to tailor ontology terms to suit specific and granular use cases such as repeated measurements on different plant parts and special sample preparation techniques. To achieve this, we have implemented a post-composing tool based on orthogonal ontologies providing users with the ability to introduce additional levels of phenotyping granularity tailored to unique experimental designs. Post-composed terms are designed to be reused by all breeding programs within a Breedbase instance but are not exported to the crop reference ontologies. Breedbase users can post-compose terms across various categories, such as plant anatomy, treatments, temporal events, and breeding cycles, and, as a result, generate highly specific terms for more accurate phenotyping. |
| format | Journal Article |
| id | CGSpace173982 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Oxford University Press |
| publisherStr | Oxford University Press |
| record_format | dspace |
| spelling | CGSpace1739822025-12-08T09:54:28Z Post-composing ontology terms for efficient phenotyping in plant breeding Menda, Naama Ellerbrock, Bryan J. Simoes, Christiano C. Karaikal, Srikanth Kumar Nyaga, Christine Flores-Gonzalez, Mirella Tecle, Isaak Y. Lyon, David Agbona, Afolabi Agre, Paterne A. Peteti, Prasad Akech, Violet Asiimwe, Amos Fauvelle, Eglantine Meghar, Karima Tran, Thierry Dufour, Dominique Cooper, Laurel Laporte, Marie-Angelique Arnaud, Elizabeth Mueller, Lukas A cassava databases breeding ontologies phenotyping Ontologies are widely used in databases to standardize data, improving data quality, integration, and ease of comparison. Within ontologies tailored to diverse use cases, post-composing user-defined terms reconciles the demands for standardization on the one hand and flexibility on the other. In many instances of Breedbase, a digital ecosystem for plant breeding designed for genomic selection, the goal is to capture phenotypic data using highly curated and rigorous crop ontologies, while adapting to the specific requirements of plant breeders to record data quickly and efficiently. For example, post-composing enables users to tailor ontology terms to suit specific and granular use cases such as repeated measurements on different plant parts and special sample preparation techniques. To achieve this, we have implemented a post-composing tool based on orthogonal ontologies providing users with the ability to introduce additional levels of phenotyping granularity tailored to unique experimental designs. Post-composed terms are designed to be reused by all breeding programs within a Breedbase instance but are not exported to the crop reference ontologies. Breedbase users can post-compose terms across various categories, such as plant anatomy, treatments, temporal events, and breeding cycles, and, as a result, generate highly specific terms for more accurate phenotyping. 2025-03-21 2025-04-02T09:51:02Z 2025-04-02T09:51:02Z Journal Article https://hdl.handle.net/10568/173982 en Open Access application/pdf Oxford University Press Menda, N.; Ellerbrock, B.J.; Simoes, C.C.; Karaikal, S.K.; Nyaga, C.; Flores-Gonzalez, M.; Tecle, I.Y.; Lyon, D.; Agbona, A.; Agre, P.A.; Peteti, P.; Akech, V.; Asiimwe, A.; Fauvelle, E.; Meghar, K.; Tran, T.; Dufour, D.; Cooper, L.; Laporte, M.; Arnaud, E.; Mueller, L.A. (2025) Post-composing ontology terms for efficient phenotyping in plant breeding. Database 2025: baaf020. ISSN: 1758-0463 |
| spellingShingle | cassava databases breeding ontologies phenotyping Menda, Naama Ellerbrock, Bryan J. Simoes, Christiano C. Karaikal, Srikanth Kumar Nyaga, Christine Flores-Gonzalez, Mirella Tecle, Isaak Y. Lyon, David Agbona, Afolabi Agre, Paterne A. Peteti, Prasad Akech, Violet Asiimwe, Amos Fauvelle, Eglantine Meghar, Karima Tran, Thierry Dufour, Dominique Cooper, Laurel Laporte, Marie-Angelique Arnaud, Elizabeth Mueller, Lukas A Post-composing ontology terms for efficient phenotyping in plant breeding |
| title | Post-composing ontology terms for efficient phenotyping in plant breeding |
| title_full | Post-composing ontology terms for efficient phenotyping in plant breeding |
| title_fullStr | Post-composing ontology terms for efficient phenotyping in plant breeding |
| title_full_unstemmed | Post-composing ontology terms for efficient phenotyping in plant breeding |
| title_short | Post-composing ontology terms for efficient phenotyping in plant breeding |
| title_sort | post composing ontology terms for efficient phenotyping in plant breeding |
| topic | cassava databases breeding ontologies phenotyping |
| url | https://hdl.handle.net/10568/173982 |
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