Introduction to Experimental Designs with PROC GLIMMIX of SAS: Applications in Food Science and Agricultural Science von Salinas Ruíz, Josafhat, Montesinos López, Osval Antonio, Crossa, Jose

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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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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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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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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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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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Prospects and Challenges of Applied Genomic Selection—A New Paradigm in Breeding for Grain Yield in Bread Wheat von Juliana, Philomin, Singh, Ravi P., Poland, Jesse, Mondal, Suchismita, Crossa, José, Montesinos‐López, Osval A., Dreisigacker, Susanne, Pérez‐Rodríguez, Paulino, Huerta‐Espino, Julio, Crespo‐Herrera, Leonardo, Govindan, Velu

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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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Revised calculation of the coefficient of parentage in plant breeding von Hernandez‐Suarez, Carlos M., Montesinos‐López, Osval A.

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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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Enviromic-based kernels may optimize resource allocation with multi-trait multi-environment genomic prediction for tropical Maize von Gevartosky, Raysa, Carvalho, Humberto Fanelli, Costa-Neto, Germano, Montesinos-López, Osval A, Crossa, José, Fritsche-Neto, Roberto

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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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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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Genomics combined with UAS data enhances prediction of grain yield in winter wheat von Montesinos-López, Osval A, Herr, Andrew W, Crossa, José, Carter, Arron H

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Multi-trait genome prediction of new environments with partial least squares von Montesinos-López, Osval A, Montesinos-López, Abelardo, Bernal Sandoval, David Alejandro, Mosqueda-Gonzalez, Brandon Alejandro, Valenzo-Jiménez, Marco Alberto, Crossa, José

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An R Package for Bayesian Analysis of Multi-environment and Multi-trait Multi-environment Data for Genome-Based Prediction von Montesinos-López, Osval A, Montesinos-López, Abelardo, Luna-Vázquez, Francisco Javier, Toledo, Fernando H, Pérez-Rodríguez, Paulino, Lillemo, Morten, Crossa, José

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