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

New Deep Learning Genomic-Based Prediction Model for Multiple Traits with Binary, Ordinal, and Continuous Phenotypes

(2019) Osval A. Montesinos-López et al.   G3-Genes Genomes Genetics

Accelerating Climate Resilient Plant Breeding by Applying Next-Generation Artificial Intelligence

(2019) Antoine L. Harfouche et al.   TRENDS IN BIOTECHNOLOGY

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

(2019) Jaime Cuevas et al.   G3-Genes Genomes Genetics

A Guide for Using Deep Learning for Complex Trait Genomic Prediction

(2019) Pérez-Enciso et al.   Genes

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

(2018) Jaime Cuevas et al.   G3-Genes Genomes Genetics

Multi-environment Genomic Prediction of Plant Traits Using Deep Learners with Dense Architecture

(2018) Abelardo Montesinos-López et al.   G3-Genes Genomes Genetics

Multi-trait, Multi-environment Deep Learning Modeling for Genomic-Enabled Prediction of Plant Traits

(2018) Osval A. Montesinos-Lopez et al.   G3-Genes Genomes Genetics

A Benchmarking Between Deep Learning, Support Vector Machine and Bayesian Threshold Best Linear Unbiased Prediction for Predicting Ordinal Traits in Plant Breeding

(2018) Osval A. Montesinos-López et al.   G3-Genes Genomes Genetics

Genomic Selection in Plant Breeding: Methods, Models, and Perspectives

(2017) José Crossa et al.   TRENDS IN PLANT SCIENCE

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

(2017) Massaine Bandeira e Souza et al.   G3-Genes Genomes Genetics

Rapid Cycling Genomic Selection in a Multiparental Tropical Maize Population

(2017) Xuecai Zhang et al.   G3-Genes Genomes Genetics

Epistasis and covariance: how gene interaction translates into genomic relationship

(2016) Johannes W. R. Martini et al.   THEORETICAL AND APPLIED GENETICS

Genomic Prediction of Genotype × Environment Interaction Kernel Regression Models

(2016) Jaime Cuevas et al.   Plant Genome

Genetic Gains in Grain Yield Through Genomic Selection in Eight Bi-parental Maize Populations under Drought Stress

(2015) Yoseph Beyene et al.   CROP SCIENCE

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

(2015) Sergio Pérez-Elizalde et al.   JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS

Increased Prediction Accuracy in Wheat Breeding Trials Using a Marker × Environment Interaction Genomic Selection Model

(2015) Marco Lopez-Cruz et al.   G3-Genes Genomes Genetics

Kernel-based variance component estimation and whole-genome prediction of pre-corrected phenotypes and progeny tests for dairy cow health traits

(2014) Gota Morota et al.   Frontiers in Genetics

Kernel-based whole-genome prediction of complex traits: a review

(2014) Gota Morota et al.   Frontiers in Genetics

A reaction norm model for genomic selection using high-dimensional genomic and environmental data

(2013) Diego Jarquín et al.   THEORETICAL AND APPLIED GENETICS

Genomic Prediction of Breeding Values when Modeling Genotype × Environment Interaction using Pedigree and Dense Molecular Markers

(2012) Juan Burgueño et al.   CROP SCIENCE

Genome-enabled prediction of genetic values using radial basis function neural networks

(2012) J. M. González-Camacho et al.   THEORETICAL AND APPLIED GENETICS

Comparison Between Linear and Non-parametric Regression Models for Genome-Enabled Prediction in Wheat

(2012) Paulino Pérez-Rodríguez et al.   G3-Genes Genomes Genetics

Genomic Selection in Wheat Breeding using Genotyping-by-Sequencing

(2012) Jesse Poland et al.   Plant Genome

Predicting complex quantitative traits with Bayesian neural networks: a case study with Jersey cows and wheat

(2011) Daniel Gianola et al.   BMC GENETICS

Semi-parametric genomic-enabled prediction of genetic values using reproducing kernel Hilbert spaces methods

(2010) GUSTAVO DE LOS CAMPOS et al.   Genetics Research

Reproducing Kernel Hilbert Spaces Regression Methods for Genomic Assisted Prediction of Quantitative Traits

(2008) D. Gianola et al.   GENETICS