Cargando…
Combined Multistage Linear Genomic Selection Indices To Predict the Net Genetic Merit in Plant Breeding
A combined multistage linear genomic selection index (CMLGSI) is a linear combination of phenotypic and genomic estimated breeding values useful for predicting the individual net genetic merit, which in turn is a linear combination of the true unobservable breeding values of the traits weighted by t...
Autores principales: | Cerón-Rojas, J. Jesus, Crossa, Jose |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7263695/ https://www.ncbi.nlm.nih.gov/pubmed/32312840 http://dx.doi.org/10.1534/g3.120.401171 |
Ejemplares similares
-
Efficiency of a Constrained Linear Genomic Selection Index To Predict the Net Genetic Merit in Plants
por: Cerón-Rojas, J. Jesus, et al.
Publicado: (2019) -
A Benchmarking Between Deep Learning, Support Vector Machine and Bayesian Threshold Best Linear Unbiased Prediction for Predicting Ordinal Traits in Plant Breeding
por: Montesinos-López, Osval A., et al.
Publicado: (2019) -
Optimum and Decorrelated Constrained Multistage Linear Phenotypic Selection Indices Theory
por: Cerón-Rojas, J. Jesus, et al.
Publicado: (2019) -
A Bayesian Genomic Multi-output Regressor Stacking Model for Predicting Multi-trait Multi-environment Plant Breeding Data
por: Montesinos-López, Osval A., et al.
Publicado: (2019) -
Efficient Estimation of Marker Effects in Plant Breeding
por: Xavier, Alencar
Publicado: (2019)