Cargando…
Genomic Bayesian Prediction Model for Count Data with Genotype × Environment Interaction
Genomic tools allow the study of the whole genome, and facilitate the study of genotype-environment combinations and their relationship with phenotype. However, most genomic prediction models developed so far are appropriate for Gaussian phenotypes. For this reason, appropriate genomic prediction mo...
Autores principales: | Montesinos-López, Abelardo, Montesinos-López, Osval A., Crossa, José, Burgueño, Juan, Eskridge, Kent M., Falconi-Castillo, Esteban, He, Xinyao, Singh, Pawan, Cichy, Karen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4856070/ https://www.ncbi.nlm.nih.gov/pubmed/26921298 http://dx.doi.org/10.1534/g3.116.028118 |
Ejemplares similares
-
Genomic-Enabled Prediction of Ordinal Data with Bayesian Logistic Ordinal Regression
por: Montesinos-López, Osval A., et al.
Publicado: (2015) -
A Genomic Bayesian Multi-trait and Multi-environment Model
por: Montesinos-López, Osval A., et al.
Publicado: (2016) -
Bayesian Genomic Prediction with Genotype × Environment Interaction Kernel Models
por: Cuevas, Jaime, et al.
Publicado: (2016) -
Threshold Models for Genome-Enabled Prediction of Ordinal Categorical Traits in Plant Breeding
por: Montesinos-López, Osval A., et al.
Publicado: (2014) -
A Variational Bayes Genomic-Enabled Prediction Model with Genotype × Environment Interaction
por: Montesinos-López, Osval A., et al.
Publicado: (2017)