On the ability of the LR method to detect bias when there is pedigree misspecification and lack of connectedness
Background: Cross-validation techniques in genetic evaluations encounter limitations due to the unobservable nature of breeding values and the challenge of validating estimated breeding values (EBVs) against pre-corrected phenotypes, challenges which the Linear Regression (LR) method addresses as an...
| Autores principales: | , , , , , |
|---|---|
| Formato: | info:ar-repo/semantics/artículo |
| Lenguaje: | Inglés |
| Publicado: |
BMC
2025
|
| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/21684 https://gsejournal.biomedcentral.com/articles/10.1186/s12711-024-00943-1 https://doi.org/10.1186/s12711-024-00943-1 |
Ejemplares similares: On the ability of the LR method to detect bias when there is pedigree misspecification and lack of connectedness
- Combining pedigree and genomic information to improve prediction quality : an example in sorghum
- Discovering ancestors and connecting relatives in large genomic databases
- An insight into population structure and genetic progress of Argentinean Holstein cattle
- Comparativa entre la consanguinidad estimada por bloques de homocigocidad (ROH) y por pedigree en Hereford argentino = Comparison between inbreeding estimated by ROH and by pedigree in argentine Hereford
- Estimación de las exactitudes poblacionales del grupo focal bajo selección mediante el método LR = Estimation of population accuracies of the focal group under selection using the LR method
- The influence of plant spacing in the early stages of selection of rice (Oryza sativa L.) varieties
