Population improvement via recurrent selection drives genetic gain in upland rice breeding
One of the main challenges of breeding programs is to identify superior genotypes from a large number of candidates. By gradually increasing the frequency of favorable alleles in the breeding population, recurrent selection improves the population mean for target traits, increasing the chance to ide...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Springer
2023
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/132654 |
Similar Items: Population improvement via recurrent selection drives genetic gain in upland rice breeding
- Impact of early genomic prediction for recurrent selection in an upland rice synthetic population
- Optimization of multi-generation multi-location genomic prediction models for recurrent genomic selection in an upland rice population
- de Verdal et al. Optimization of multi-generation multi-location genomic prediction models for recurrent genomic selection in an upland rice population
- Results of 25 years of upland rice breeding in Brazil
- Breeding implications of drought stress under future climate for upland rice in Brazil
- Accuracy of genomic selection in a rice synthetic population developed for recurrent selection breeding