Optimizing self-pollinated crop breeding employing genomic selection: From schemes to updating training sets
Long-term breeding schemes using genomic selection (GS) can boost the response to selection per year. Although several studies have shown that GS delivers a higher response to selection, only a few analyze which stage GS produces better results and how to update the training population to maintain p...
| Main Authors: | , , , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Frontiers Media
2022
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/126257 |
Similar Items: Optimizing self-pollinated crop breeding employing genomic selection: From schemes to updating training sets
- Lifting the buzz out of provisioning pollination services- A review on role of forest management practices on pollination services
- Status of pollinators and pollination services in the Eastern Indian agricultural landscape (Webinar session 3)
- Pollination of cacao in Costa Rica
- Pollination supply models from a local to global scale
- Optimizing QTL introgression via stochastic simulations: an example of the IRRI rice breeding program
- Threats to an ecosystem service: pressures on pollinators