Sparse testing using genomic prediction improves selection for breeding targets in elite spring wheat
Key message: Sparse testing using genomic prediction can be efficiently used to increase the number of testing environments while maintaining selection intensity in the early yield testing stage without increasing the breeding budget. Abstract: Sparse testing using genomic prediction enables expande...
| Autores principales: | , , , , , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2022
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/126431 |
Ejemplares similares: Sparse testing using genomic prediction improves selection for breeding targets in elite spring wheat
- Boosting genomic prediction transferability with sparse testing
- Plant breeding increases spring wheat yield potential in Afghanistan
- Rise and Fall: Understanding genetic progress for lodging resistance in elite spring wheat
- Genome-wide association and genomic prediction study of elite spring bread wheat (Triticum aestivum L.) genotypes under drought conditions across different locations
- Multi-location trials identify stable high yielding spring bread and durum wheat cultivars in Mexico
- Genome-wide association study of elite spring bread wheat (triticum aestivum l.) genotypes under drought conditions across different locations