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1Digital revistaSCIELO
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2Deep learning genomic-enabled prediction of plant traits Deep learning genomic-enabled prediction of plant traitsby Montesinos-López, Abelardo, Montesinos-López, Osval A., Gianola, Daniel, Crossa, Jose
Published 2018Experimental data bibliotecaCIMMYT -
3Genomic-enabled prediction of ordinal data with bayesian logistic ordinal regression Genomic-enabled prediction of ordinal data with bayesian logistic ordinal regressionby Montesinos-López, Osval A., Montesinos-López, Abelardo, Crossa, Jose, Burgueño, Juan, Eskridge, Kent
Published 2015bibliotecaCIMMYT -
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5A singular value decomposition Bayesian multiple-trait and multiple-environment genomic model A singular value decomposition Bayesian multiple-trait and multiple-environment genomic modelby Montesinos-López, Osval A., Montesinos-López, Abelardo, Crossa, Jose, Kismiantini, Ramírez-Alcaraz, Juan Manuel
Published 2018Genotypic and Phenotypic Data bibliotecaCIMMYT -
6by Montesinos-López, Abelardo, Saint Pierre, Carolina, Gezan, Salvador A., Bentley, Alison R., Mosqueda-González, Brandon A., Montesinos-López, Abelardo, van Eeuwijk, Fred, Beyene, Yoseph, Gowda, Manje, Gardner, Keith, Gerard, Guillermo S., Crespo-Herrera, Leonardo, Crossa, JoséArticle/Letter to editor bibliotecaWUR NL
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7Replication Data for: Sparse multi-trait genomic prediction under incomplete block designs Replication Data for: Sparse multi-trait genomic prediction under incomplete block designsby Montesinos-López, Osval A., Mosqueda-González, Brandon Alejandro, Salinas-Ruiz, Josafhat, Montesinos-López, Abelardo, Crossa, Jose
Published 2022Experimental data bibliotecaCIMMYT -
8by Montesinos López,Osval Antonio, Montesinos López,Abelardo, Luna Espinoza,Ignacio, Gaytán Lugo,Laura Sanely, Espinosa Solares,Teodoro
Published 2012Digital revistaSCIELO -
9by Montesinos López, Osval A., Montesinos López, Abelardo, Acosta, Ricardo, Varshney, Rajeev K., Bentley, Alison R., Crossa, José
Published 2023-01-03T14:13:05ZbibliotecaCGIAR -
10Multi-trait multi-environment genomic prediction of durum wheat Multi-trait multi-environment genomic prediction of durum wheatby Montesinos-López, Osval A., Montesinos-López, Abelardo, Tuberosa, Roberto, Maccaferri, Marco, Sciara, Giuseppe, Ammar, Karim, Crossa, Jose
Published 2019Experimental data, Phenotypic data bibliotecaCIMMYT -
11by Montesinos-Lopez, Osval A., Huerta Prado, Gloria Isabel, Montesinos-Lopez, José Cricelio, Montesinos-Lopez, Abelardo, Crossa, José
Published 2024-11-13T16:00:02ZbibliotecaCGIAR -
12Supplemental data for multi-trait, multi-environment deep learning modeling for genomic-enabled prediction of plant traits Supplemental data for multi-trait, multi-environment deep learning modeling for genomic-enabled prediction of plant traitsby Montesinos-López, Osval A., Montesinos-López, Abelardo, Crossa, Jose, Gianola, Daniel, Hernández-Suarez, Carlos Moisés, Martín-Vallejo, Javier
Published 2018Experimental data bibliotecaCIMMYT -
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14by Montesinos-López, Abelardo, Montesinos-Lopez, Osval A., Lecumberry, Federico, Fariello, María I., Montesinos-Lopez, José C., Crossa, José
Published 2024-12-11T17:43:50ZbibliotecaCGIAR -
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16Genomic Bayesian prediction model for count data with Genotype × environment interaction Genomic Bayesian prediction model for count data with Genotype × environment interactionby Montesinos-López, Abelardo, Montesinos-López, Osval A., Crossa, Jose, Burgueño, Juan, Eskridge, Kent, Falconi, Esteban, Singh, Pawan, He, XinyaobibliotecaCIMMYT
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17Replication Data for: A comparison between three machine learning methods for multivariate genomic prediction using the Sparse Kernels Methods (SKM) library Replication Data for: A comparison between three machine learning methods for multivariate genomic prediction using the Sparse Kernels Methods (SKM) libraryby Montesinos-López, Osval A., Montesinos-López, Abelardo, Cano-Paez, Bernabé, Hernández-Suarez, Carlos Moisés, Santana Mancilla, Pedro Cesar, Crossa, Jose
Published 2022Experimental data bibliotecaCIMMYT -
18Deep kernel of genomic and near infrared predictions in multi-environment breeding trials Deep kernel of genomic and near infrared predictions in multi-environment breeding trialsby Cuevas, Jaime, Montesinos-López, Osval A., Juliana, Philomin, Pérez-Rodríguez, Paulino, Burgueño, Juan, Guzman, Carlos, Montesinos-López, Abelardo, Crossa, Jose
Published 2019Experimental data bibliotecaCIMMYT -
19A variational Bayes genomic-enabled prediction model with genotype × environment interaction A variational Bayes genomic-enabled prediction model with genotype × environment interactionby Montesinos-López, Osval A., Montesinos-López, Abelardo, Crossa, Jose, Montesinos-López, José Cricelio, Luna-Vazquez, Francisco Javier, Salinas-Ruiz, Josafhat
Published 2017bibliotecaCIMMYT -
20Replication Data for: A multivariate Poisson deep learning model for genomic prediction of count data Replication Data for: A multivariate Poisson deep learning model for genomic prediction of count databy Montesinos-López, Osval A., Montesinos-López, José Cricelio, Singh, Pawan, Lozano-Ramirez, Nerida, Barrón-López, Alberto, Montesinos-López, Abelardo, Crossa, Jose
Published 2020Phenotypic data bibliotecaCIMMYT