Osval A Montesinos-López

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

José Crossa, Daniel Gianola, Abelardo Montesinos-López, 2018, G3: Genes, Genomes, Genetics.

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

José Crossa, Sushismita Mondal, Abelardo Montesinos-López, 2017, Plant Methods.

Improving grain yield, stress resilience and quality of bread wheat using large-scale genomics

Philomin Juliana, Suchismita Mondal, José Crossa, 2019, Nature Genetics.

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

Philomin Juliana, José Crossa, Daniel Gianola, 2018, G3: Genes, Genomes, Genetics.

Prediction of Multiple-Trait and Multiple-Environment Genomic Data Using Recommender Systems

Philomin Juliana, Suchismita Mondal, José Crossa, 2018, G3: Genes, Genomes, Genetics.

Integrating genomic-enabled prediction and high-throughput phenotyping in breeding for climate-resilient bread wheat

Philomin Juliana, Suchismita Mondal, José Crossa, 2018, Theoretical and Applied Genetics.