Genomic prediction for 25 agronomic and quality traits in alfalfa (Medicago sativa)
Agronomic and quality traits in alfalfa are very important to forage industry. Genomic prediction based on genotyping-by-sequencing (GBS) data could shorten the breeding cycles and accelerate the genetic gains of these complex traits, if they display moderate to high prediction accuracies. The aim o...
| Autores principales: | , , , , , , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Frontiers Media
2018
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/98969 |
Ejemplares similares: Genomic prediction for 25 agronomic and quality traits in alfalfa (Medicago sativa)
- A genome-wide association study approach to the identification of candidate genes underlying agronomic traits in alfalfa (Medicago sativa L.)
- Varietal differences in yield and nutritional quality of alfalfa (Medicago sativa) accessions during 20 months after planting in Ethiopia
- Producción de alfalfa (Medicago sativa L.) bajo pastoreo = Alfalfa (Medicago sativa L.) production under grazing
- Aspectos productivos de la Alfalfa (Medicago sativa)
- An overview of alfalfa (Medicago sativa L.) situation in Argentina
- Evaluación de cultivares de alfalfa (Medicago sativa L.)