dc.creator | Martini, J.W.R. | |
dc.creator | Hearne, S. | |
dc.creator | Gardunia, B.W. | |
dc.creator | Wimmer, V. | |
dc.creator | Toledo, F.H. | |
dc.date | 2022-07-15T00:10:15Z | |
dc.date | 2022-07-15T00:10:15Z | |
dc.date | 2022 | |
dc.date.accessioned | 2023-07-17T20:09:14Z | |
dc.date.available | 2023-07-17T20:09:14Z | |
dc.identifier | https://hdl.handle.net/10883/22107 | |
dc.identifier | 10.3389/fpls.2022.890434 | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/7513870 | |
dc.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? | |
dc.language | English | |
dc.publisher | Frontiers | |
dc.relation | Nutrition, health & food security | |
dc.relation | Accelerated Breeding | |
dc.relation | Breeding Resources | |
dc.relation | Genetic Innovation | |
dc.relation | CGIAR Trust Fund | |
dc.relation | https://hdl.handle.net/10568/126620 | |
dc.rights | CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose | |
dc.rights | Open Access | |
dc.source | 13 | |
dc.source | 1664-462X | |
dc.source | Frontiers in Plant Science | |
dc.source | 890434 | |
dc.subject | AGRICULTURAL SCIENCES AND BIOTECHNOLOGY | |
dc.subject | Genomic Selection | |
dc.subject | Selection Gain | |
dc.subject | Breeding Schemes | |
dc.subject | BREEDING PROGRAMMES | |
dc.subject | MARKER-ASSISTED SELECTION | |
dc.subject | GENOTYPE ENVIRONMENT INTERACTION | |
dc.subject | PLANT BREEDING | |
dc.title | Editorial: Genomic selection: Lessons learned and perspectives | |
dc.type | Article | |
dc.type | Published Version | |
dc.coverage | Switzerland | |