Editorial: Genomic selection: Lessons learned and perspectives
| cg.authorship.types | CGIAR and advanced research institute | en |
| cg.contributor.affiliation | International Maize and Wheat Improvement Center | en |
| cg.contributor.affiliation | CGIAR Excellence in Breeding Platform | en |
| cg.contributor.affiliation | Bayer Crop Science | en |
| cg.contributor.affiliation | KWS SAAT SE & Co., Germany | en |
| cg.contributor.crp | Excellence in Breeding | |
| cg.contributor.donor | CGIAR Trust Fund | en |
| cg.contributor.initiative | Accelerated Breeding | |
| cg.contributor.initiative | Breeding Resources | |
| cg.creator.identifier | Johannes Martini: 0000-0003-0628-6794 | |
| cg.creator.identifier | Sarah Hearne: 0000-0003-2015-2450 | |
| cg.creator.identifier | Fernando Henrique Toledo: 0000-0003-0158-643X | |
| cg.howPublished | Formally Published | en |
| cg.identifier.doi | https://doi.org/10.3389/fpls.2022.890434 | en |
| cg.isijournal | ISI Journal | en |
| cg.issn | 1664-462X | en |
| cg.journal | Frontiers in Plant Science | en |
| cg.place | Switzerland | en |
| cg.reviewStatus | Peer Review | en |
| cg.subject.actionArea | Genetic Innovation | |
| cg.subject.impactArea | Nutrition, health and food security | |
| cg.volume | 13 | en |
| dc.contributor.author | Martini, Johannes W. R. | en |
| dc.contributor.author | Hearne, Sarah Jane | en |
| dc.contributor.author | Gardunia, Brian W. | en |
| dc.contributor.author | Wimmer, Valentin | en |
| dc.contributor.author | Toledo, Fernando H. | en |
| dc.date.accessioned | 2023-01-05T11:46:57Z | en |
| dc.date.available | 2023-01-05T11:46:57Z | en |
| dc.identifier.uri | https://hdl.handle.net/10568/126620 | |
| dc.title | Editorial: Genomic selection: Lessons learned and perspectives | en |
| dcterms.abstract | 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? | en |
| dcterms.accessRights | Open Access | |
| dcterms.audience | Scientists | en |
| dcterms.available | 2022-05-27 | |
| dcterms.bibliographicCitation | 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. | en |
| dcterms.issued | 2022-05-27 | |
| dcterms.language | en | |
| dcterms.license | CC-BY-4.0 | |
| dcterms.publisher | Frontiers Media | en |
| dcterms.subject | breeding programmes | en |
| dcterms.subject | marker-assisted selection | en |
| dcterms.subject | genotype environment interaction | en |
| dcterms.subject | plant breeding | en |
| dcterms.type | Journal Item |