Genomic Prediction of Genotype × Environment Interaction Kernel Regression Models

Jaime Cuevas, José Crossa, Víctor Soberanis, +5

The Plant Genome

GeneticsGenomic PredictionGenome-wide Association StudyGenetic AnalysisGenotype-phenotype Association +18

Bayesian Genomic Prediction with Genotype <b>×</b> Environment Interaction Kernel Models

Jaime Cuevas, José Crossa, Osval A. Montesinos‐López, +3

G3 Genes Genomes Genetics

Genomic-Enabled Prediction in Maize Using Kernel Models with Genotype × Environment Interaction

Massáine Bandeira e Sousa, Jaime Cuevas, Evellyn Giselly de Oliveira Couto, +5

G3 Genes Genomes Genetics

Plant GeneticsGeneticsAgricultural EconomicsGenomicsGenomic Selection +19

Deep Kernel for Genomic and Near Infrared Predictions in Multi-environment Breeding Trials

Jaime Cuevas, Osval A. Montesinos‐López, Philomin Juliana, +6

G3 Genes Genomes Genetics

EngineeringMachine LearningGeneticsGenomicsYield Prediction +22

Genomic Bayesian functional regression models with interactions for predicting wheat grain yield using hyper-spectral image data

Abelardo Montesinos‐López, Osval A. Montesinos‐López, Jaime Cuevas, +8

Plant Methods

Deep Kernel and Deep Learning for Genome-Based Prediction of Single Traits in Multienvironment Breeding Trials

José Crossa, Johannes W. R. Martini, Daniel Gianola, +5

Frontiers in Genetics

Convolutional Neural NetworkEngineeringMachine LearningGeneticsAutoencoders +19

BGGE: A New Package for Genomic-Enabled Prediction Incorporating Genotype × Environment Interaction Models

Ítalo Stefanine Correia Granato, Jaime Cuevas, Francisco Javier Luna-Vázquez, +4

G3 Genes Genomes Genetics

GeneticsGenomicsGenomic SelectionNew PackageGenome-wide Association Study +19

Selection of the Bandwidth Parameter in a Bayesian Kernel Regression Model for Genomic-Enabled Prediction

Sergio Pérez‐Elizalde, Jaime Cuevas, Paulino Pérez‐Rodríguez, +1

Journal of Agricultural Biological and Environmental Statistics

EngineeringKernel RegressionData ScienceBiostatisticsGenomic-enabled Prediction +15

Genomic-Enabled Prediction Kernel Models with Random Intercepts for Multi-environment Trials

Jaime Cuevas, Ítalo Stefanine Correia Granato, Roberto Fritsche‐Neto, +4

G3 Genes Genomes Genetics

GeneticsRandom InterceptsGenomicsGenomic SelectionApplied Genetics +23

A Bayesian Genomic Multi-output Regressor Stacking Model for Predicting Multi-trait Multi-environment Plant Breeding Data

Osval A. Montesinos‐López, Abelardo Montesinos‐López, José Crossa, +6

G3 Genes Genomes Genetics