Multiple-trait analyses improved the accurary of genomic prediction and the power of genome-wide association of productivity and climate change-adaptive traits in lodgepole pine
Genomic prediction (GP) and genome-wide association (GWA) analyses are currently being employed to accelerate breeding cycles and to identify alleles or genomic regions of complex traits in forest trees species. Here, 1490 interior lodgepole pine (Pinus contorta Dougl. ex. Loud. var. latifolia Engel...
| Autores principales: | , , , , , , , , , , , , , , |
|---|---|
| Formato: | info:ar-repo/semantics/artículo |
| Lenguaje: | Inglés |
| Publicado: |
BMC
2022
|
| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/13117 https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-022-08747-7 https://doi.org/10.1186/s12864-022-08747-7 |
Ejemplares similares: Multiple-trait analyses improved the accurary of genomic prediction and the power of genome-wide association of productivity and climate change-adaptive traits in lodgepole pine
- Multiple‑trait analyses improved the accuracy of genomic prediction and the power of genome‑wide association of productivity and climate change‑adaptive traits in lodgepole pine
- Revealing stable SNPs and genomic prediction insights across environments enhance breeding strategies of productivity, defense, and climate-adaptability traits in white spruce.
- Improving lodgepole pine genomic evaluation using spatial correlation structure and SNP selection with single-step GBLUP
- Integrating genomic information and productivity and climate-adaptability traits into a regional white spruce breeding program
- Impacto de la estructura residual y la información genómica en modelos de norma de reacción para caracteres de crecimiento en Brangus = Impact of residual structure and genomic information on reaction norm models for growth traits in Brangus
- Genomic prediction of grain yield and drought-adaptation capacity in sorghum is enhanced by multi-trait analysis