Editorial: Genomic selection: Lessons learned and perspectives
Genomic selection (GS) has been one of the most prominent Research Topics in breeding science in the last two decades after the milestone paper by Meuwissen et al. (2001). Its huge potential for increasing the efficiency of breeding programs attracted scientific curiosity and research funding. Many...
| Autores principales: | , , , , |
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| Formato: | Journal Item |
| Lenguaje: | Inglés |
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Frontiers Media
2022
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| Acceso en línea: | https://hdl.handle.net/10568/126620 |
| _version_ | 1855539066139836416 |
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| author | Martini, Johannes W. R. Hearne, Sarah Jane Gardunia, Brian W. Wimmer, Valentin Toledo, Fernando H. |
| author_browse | Gardunia, Brian W. Hearne, Sarah Jane Martini, Johannes W. R. Toledo, Fernando H. Wimmer, Valentin |
| author_facet | Martini, Johannes W. R. Hearne, Sarah Jane Gardunia, Brian W. Wimmer, Valentin Toledo, Fernando H. |
| author_sort | Martini, Johannes W. R. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Genomic selection (GS) has been one of the most prominent Research Topics in breeding science in the last two decades after the milestone paper by Meuwissen et al. (2001). Its huge potential for increasing the efficiency of breeding programs attracted scientific curiosity and research funding. Many different statistical prediction methods have been tested, and different use cases have been explored. We organized this Research Topic to look both back and forward. The objectives were to review the developments of the last 20 years, to provide a snapshot of current hot topics, and potentially also to define areas on which more (or less) focus should be put in the future, thereby supporting readers with formulating and prioritizing their ideas for future research. Several questions were brought up when organizing this Research Topic including: How did GS change breeding schemes? Which impact did GS have on realized selection gain? What, considering the context of particularities of different crops, may be optimal breeding schemes to leverage the full potential of GS? What has been the impact of and what is the potential of hybrid prediction, statistical epistasis models, deep learning and other methods? What are the long-term effects of GS? Can predictive breeding approaches also be used to harness genetic resources from germplasm banks in a more efficient way? |
| format | Journal Item |
| id | CGSpace126620 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Frontiers Media |
| publisherStr | Frontiers Media |
| record_format | dspace |
| spelling | CGSpace1266202025-11-06T13:09:10Z Editorial: Genomic selection: Lessons learned and perspectives Martini, Johannes W. R. Hearne, Sarah Jane Gardunia, Brian W. Wimmer, Valentin Toledo, Fernando H. breeding programmes marker-assisted selection genotype environment interaction plant breeding Genomic selection (GS) has been one of the most prominent Research Topics in breeding science in the last two decades after the milestone paper by Meuwissen et al. (2001). Its huge potential for increasing the efficiency of breeding programs attracted scientific curiosity and research funding. Many different statistical prediction methods have been tested, and different use cases have been explored. We organized this Research Topic to look both back and forward. The objectives were to review the developments of the last 20 years, to provide a snapshot of current hot topics, and potentially also to define areas on which more (or less) focus should be put in the future, thereby supporting readers with formulating and prioritizing their ideas for future research. Several questions were brought up when organizing this Research Topic including: How did GS change breeding schemes? Which impact did GS have on realized selection gain? What, considering the context of particularities of different crops, may be optimal breeding schemes to leverage the full potential of GS? What has been the impact of and what is the potential of hybrid prediction, statistical epistasis models, deep learning and other methods? What are the long-term effects of GS? Can predictive breeding approaches also be used to harness genetic resources from germplasm banks in a more efficient way? 2022-05-27 2023-01-05T11:46:57Z 2023-01-05T11:46:57Z Journal Item https://hdl.handle.net/10568/126620 en Open Access application/pdf Frontiers Media Martini, J. W. R., Hearne, S. J., Gardunia, B., Wimmer, V., & Toledo, F. H. (2022). Editorial: Genomic selection: lessons learned and perspectives. Frontiers in Plant Science, 13, 890434. |
| spellingShingle | breeding programmes marker-assisted selection genotype environment interaction plant breeding Martini, Johannes W. R. Hearne, Sarah Jane Gardunia, Brian W. Wimmer, Valentin Toledo, Fernando H. Editorial: Genomic selection: Lessons learned and perspectives |
| title | Editorial: Genomic selection: Lessons learned and perspectives |
| title_full | Editorial: Genomic selection: Lessons learned and perspectives |
| title_fullStr | Editorial: Genomic selection: Lessons learned and perspectives |
| title_full_unstemmed | Editorial: Genomic selection: Lessons learned and perspectives |
| title_short | Editorial: Genomic selection: Lessons learned and perspectives |
| title_sort | editorial genomic selection lessons learned and perspectives |
| topic | breeding programmes marker-assisted selection genotype environment interaction plant breeding |
| url | https://hdl.handle.net/10568/126620 |
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