Mixed model methods for genomic prediction and variance component estimation of additive and dominance effects using SNP markers.
We established a genomic model of quantitative trait with genomic additive and dominance relationships that parallels the traditional quantitative genetics model, which partitions a genotypic value as breeding value plus dominance deviation and calculates additive and dominance relationships using p...
Guardado en:
Autores principales: | Yang Da, Chunkao Wang, Shengwen Wang, Guo Hu |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2014
|
Materias: | |
Acceso en línea: | https://doaj.org/article/ff3e6669eb6646d9b2870577c4ecf837 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Efficient variance components analysis across millions of genomes
por: Ali Pazokitoroudi, et al.
Publicado: (2020) -
Variance components in recombinant inbred lines of Tef [Eragrostis tef (Zucc.) Trotter L.]: Estimation and their implications in selection
por: Ephrem Worku Tesfa, et al.
Publicado: (2021) -
Average semivariance yields accurate estimates of the fraction of marker-associated genetic variance and heritability in complex trait analyses.
por: Mitchell J Feldmann, et al.
Publicado: (2021) -
Genetic characterization and linkage disequilibrium estimation of a global maize collection using SNP markers.
por: Jianbing Yan, et al.
Publicado: (2009) -
Comparison of SSR and SNP markers in estimation of genetic diversity and population structure of Indian rice varieties.
por: Nivedita Singh, et al.
Publicado: (2013)