Cargando…
Impact of residual covariance structures on genomic prediction ability in multi-environment trials
In plant breeding, one of the main purpose of multi-environment trial (MET) is to assess the intensity of genotype-by-environment (G×E) interactions in order to select high-performing lines of each environment. Most models to analyze such MET data consider only the additive genetic effects and the p...
Autores principales: | Mathew, Boby, Léon, Jens, Sillanpää, Mikko J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6054387/ https://www.ncbi.nlm.nih.gov/pubmed/30028886 http://dx.doi.org/10.1371/journal.pone.0201181 |
Ejemplares similares
-
A novel linkage-disequilibrium corrected genomic relationship matrix for SNP-heritability estimation and genomic prediction
por: Mathew, Boby, et al.
Publicado: (2017) -
NeuralLasso: Neural Networks Meet Lasso in Genomic Prediction
por: Mathew, Boby, et al.
Publicado: (2022) -
Reparametrization-based estimation of genetic parameters in multi-trait animal model using Integrated Nested Laplace Approximation
por: Mathew, Boby, et al.
Publicado: (2015) -
Detection of Epistasis for Flowering Time Using Bayesian Multilocus Estimation in a Barley MAGIC Population
por: Mathew, Boby, et al.
Publicado: (2018) -
Importance of correcting genomic relationships in single-locus QTL mapping model with an advanced backcross population
por: Mathew, Boby, et al.
Publicado: (2021)