Cargando…
Deep Kernel for Genomic and Near Infrared Predictions in Multi-environment Breeding Trials
Kernel methods are flexible and easy to interpret and have been successfully used in genomic-enabled prediction of various plant species. Kernel methods used in genomic prediction comprise the linear genomic best linear unbiased predictor (GBLUP or GB) kernel, and the Gaussian kernel (GK). In genera...
Autores principales: | Cuevas, Jaime, Montesinos-López, Osval, Juliana, Philomin, Guzmán, Carlos, Pérez-Rodríguez, Paulino, González-Bucio, José, Burgueño, Juan, Montesinos-López, Abelardo, Crossa, José |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6723142/ https://www.ncbi.nlm.nih.gov/pubmed/31289023 http://dx.doi.org/10.1534/g3.119.400493 |
Ejemplares similares
-
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) -
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) -
Multimodal deep learning methods enhance genomic prediction of wheat
breeding
por: Montesinos-López, Abelardo, et al.
Publicado: (2023) -
New Deep Learning Genomic-Based Prediction Model for Multiple Traits with Binary, Ordinal, and Continuous Phenotypes
por: Montesinos-López, Osval A., et al.
Publicado: (2019) -
Maximum a posteriori Threshold Genomic Prediction Model for Ordinal Traits
por: Montesinos-López, Abelardo, et al.
Publicado: (2020)