Designing optimal training sets for genomic prediction using adversarial validation with probit regression von Montesinos‐López, Osval A., Montesinos‐López, Abelardo

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Two simple methods to improve the accuracy of the genomic selection methodology von Montesinos-López, Osval A, Kismiantini, Montesinos-López, Abelardo

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Multivariate Statistical Machine Learning Methods for Genomic Prediction von Montesinos López, Osval Antonio, Montesinos López, Abelardo, Crossa, José

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Predicting grain yield using canopy hyperspectral reflectance in wheat breeding data von Montesinos-López, Osval A, Montesinos-López, Abelardo, Crossa, José, de Los Campos, Gustavo, Alvarado, Gregorio, Suchismita, Mondal, Rutkoski, Jessica, González-Pérez, Lorena, Burgueño, Juan

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Multi-environment Genomic Prediction of Plant Traits Using Deep Learners With Dense Architecture von Montesinos-López, Abelardo, Montesinos-López, Osval A, Gianola, Daniel, Crossa, José, Hernández-Suárez, Carlos M

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Multi-trait, Multi-environment Deep Learning Modeling for Genomic-Enabled Prediction of Plant Traits von Montesinos-López, Osval A, Montesinos-López, Abelardo, Crossa, José, Gianola, Daniel, Hernández-Suárez, Carlos M, Martín-Vallejo, Javier

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A graph model for genomic prediction in the context of a linear mixed model framework von Montesinos‐López, Osval A., Prado, Gloria Isabel Huerta, Montesinos‐López, José Cricelio, Montesinos‐López, Abelardo, Crossa, José

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Bayesian discrete lognormal regression model for genomic prediction von Montesinos-López, Abelardo, Gutiérrez-Pulido, Humberto, Ramos-Pulido, Sofía, Montesinos-López, José Cricelio, Montesinos-López, Osval A., Crossa, José

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Enhancing winter wheat prediction with genomics, phenomics and environmental data von Montesinos-López, Osval A, Herr, Andrew W, Crossa, José, Montesinos-López, Abelardo, Carter, Arron H

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A Benchmarking Between Deep Learning, Support Vector Machine and Bayesian Threshold Best Linear Unbiased Prediction for Predicting Ordinal Traits in Plant Breeding von Montesinos-López, Osval A, Martín-Vallejo, Javier, Crossa, José, Gianola, Daniel, Hernández-Suárez, Carlos M, Montesinos-López, Abelardo, Juliana, Philomin, Singh, Ravi

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Multi-Trait, Multi-Environment Genomic Prediction of Durum Wheat With Genomic Best Linear Unbiased Predictor and Deep Learning Methods von Montesinos-López, Osval A., Montesinos-López, Abelardo, Tuberosa, Roberto, Maccaferri, Marco, Sciara, Giuseppe, Ammar, Karim, Crossa, José

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A Genomic Bayesian Multi-trait and Multi-environment Model von Montesinos-López, Osval A, Montesinos-López, Abelardo, Crossa, José, Toledo, Fernando H, Pérez-Hernández, Oscar, Eskridge, Kent M, Rutkoski, Jessica

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Partial least squares enhance multi-trait genomic prediction of potato cultivars in new environments von Ortiz, Rodomiro, Reslow, Fredrik, Montesinos-López, Abelardo, Huicho, José, Pérez-Rodríguez, Paulino, Montesinos-López, Osval A., Crossa, José

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Genome‐based prediction of multiple wheat quality traits in multiple years von Ibba, Maria Itria, Crossa, Jose, Montesinos‐López, Osval A., Montesinos‐López, Abelardo, Juliana, Philomin, Guzman, Carlos, Delorean, Emily, Dreisigacker, Susanne, Poland, Jesse

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Sparse multi‐trait genomic prediction under balanced incomplete block design von Montesinos‐López, Osval A., Mosqueda‐González, Brandon A., Salinas‐Ruiz, Josafat, Montesinos‐López, Abelardo, Crossa, José

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Genomic Bayesian functional regression models with interactions for predicting wheat grain yield using hyper-spectral image data von Montesinos-López, Abelardo, Montesinos-López, Osval A, Cuevas, Jaime, Mata-López, Walter A, Burgueño, Juan, Mondal, Sushismita, Huerta, Julio, Singh, Ravi, Autrique, Enrique, González-Pérez, Lorena, Crossa, José

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New Deep Learning Genomic-Based Prediction Model for Multiple Traits with Binary, Ordinal, and Continuous Phenotypes von Montesinos-López, Osval A, Martín-Vallejo, Javier, Crossa, José, Gianola, Daniel, Hernández-Suárez, Carlos M, Montesinos-López, Abelardo, Juliana, Philomin, Singh, Ravi

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Partial Least Squares Enhances Genomic Prediction of New Environments von Montesinos-López, Osval A., Montesinos-López, Abelardo, Kismiantini, Roman-Gallardo, Armando, Gardner, Keith, Lillemo, Morten, Fritsche-Neto, Roberto, Crossa, José

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Comparing gradient boosting machine and Bayesian threshold BLUP for genome‐based prediction of categorical traits in wheat breeding von Montesinos‐López, Osval Antonio, Gonzalez, Henry Nicole, Montesinos‐López, Abelardo, Daza‐Torres, María, Lillemo, Morten, Montesinos‐López, José Cricelio, Crossa, José

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A Multivariate Poisson Deep Learning Model for Genomic Prediction of Count Data von Montesinos-López, Osval Antonio, Montesinos-López, José Cricelio, Singh, Pawan, Lozano-Ramirez, Nerida, Barrón-López, Alberto, Montesinos-López, Abelardo, Crossa, José

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