Hasil Pencarian - Osval A. Montesinos-López

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  1. 1
    Two simple methods to improve the accuracy of the genomic selection methodology

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

    Diterbitkan 2023-04-01
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  2. 2
    Bayesian regularized quantile regression: A robust alternative for genome-based prediction of skewed data

    Bayesian regularized quantile regression: A robust alternative for genome-based prediction of skewed data oleh Paulino Pérez-Rodríguez, Osval A. Montesinos-López, Abelardo Montesinos-López, José Crossa

    Diterbitkan 2020-10-01
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  3. 3
    Genomics combined with UAS data enhances prediction of grain yield in winter wheat

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

    Diterbitkan 2023-03-01
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  4. 4
    Enhancing winter wheat prediction with genomics, phenomics and environmental data

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

    Diterbitkan 2024-05-01
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  5. 5
    Yield Adjustment Using GPR-Derived Spatial Covariance Structure in Cassava Field: A Preliminary Investigation

    Yield Adjustment Using GPR-Derived Spatial Covariance Structure in Cassava Field: A Preliminary Investigation oleh Afolabi Agbona, Osval A. Montesinos-Lopez, Mark E. Everett, Henry Ruiz-Guzman, Dirk B. Hays

    Diterbitkan 2023-03-01
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  6. 6
    Multi-environment Genomic Prediction of Plant Traits Using Deep Learners With Dense Architecture

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

    Diterbitkan 2018-12-01
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  7. 7
    Comercio electrónico y hábitos de los consumidores durante la pandemia de COVID-19 en México

    Comercio electrónico y hábitos de los consumidores durante la pandemia de COVID-19 en México oleh Víctor Béjar-Tinoco, Marco Valenzo-Jiménez, Flor Madrigal-Moreno, Salvador Madrigal-Moreno, Osval A. Montesinos-López

    Diterbitkan 2022-09-01
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  8. 8
    Sparse multi‐trait genomic prediction under balanced incomplete block design

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

    Diterbitkan 2023-06-01
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  9. 9
    Bayesian Genomic Prediction with Genotype × Environment Interaction Kernel Models

    Bayesian Genomic Prediction with Genotype × Environment Interaction Kernel Models oleh Jaime Cuevas, José Crossa, Osval A. Montesinos-López, Juan Burgueño, Paulino Pérez-Rodríguez, Gustavo de los Campos

    Diterbitkan 2017-01-01
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  10. 10
    Enviromic-based kernels may optimize resource allocation with multi-trait multi-environment genomic prediction for tropical Maize

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

    Diterbitkan 2023-01-01
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  11. 11
    Multi-Trait, Multi-Environment Genomic Prediction of Durum Wheat With Genomic Best Linear Unbiased Predictor and Deep Learning Methods

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

    Diterbitkan 2019-11-01
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  12. 12
    An R Package for Multitrait and Multienvironment Data with the Item-Based Collaborative Filtering Algorithm

    An R Package for Multitrait and Multienvironment Data with the Item-Based Collaborative Filtering Algorithm oleh Osval A. Montesinos-López, Francisco Javier Luna-Vázquez, Abelardo Montesinos-López, Philomin Juliana, Ravi Singh, José Crossa

    Diterbitkan 2018-11-01
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  13. 13
    Partial least squares enhance multi-trait genomic prediction of potato cultivars in new environments

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

    Diterbitkan 2023-06-01
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  14. 14
    Multi-trait, Multi-environment Deep Learning Modeling for Genomic-Enabled Prediction of Plant Traits

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

    Diterbitkan 2018-12-01
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  15. 15
    The Use of Deep Learning to Improve Player Engagement in a Video Game through a Dynamic Difficulty Adjustment Based on Skills Classification

    The Use of Deep Learning to Improve Player Engagement in a Video Game through a Dynamic Difficulty Adjustment Based on Skills Classification oleh Edwin A. Romero-Mendez, Pedro C. Santana-Mancilla, Miguel Garcia-Ruiz, Osval A. Montesinos-López, Luis E. Anido-Rifón

    Diterbitkan 2023-07-01
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  16. 16
    Correction to: Bayesian functional regression as an alternative statistical analysis of high-throughput phenotyping data of modern agriculture

    Correction to: Bayesian functional regression as an alternative statistical analysis of high-throughput phenotyping data of modern agriculture oleh Abelardo Montesinos-López, Osval A. Montesinos-López, Gustavo de los Campos, José Crossa, Juan Burgueño, Francisco Javier Luna-Vazquez

    Diterbitkan 2018-07-01
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  17. 17
    Bayesian functional regression as an alternative statistical analysis of high-throughput phenotyping data of modern agriculture

    Bayesian functional regression as an alternative statistical analysis of high-throughput phenotyping data of modern agriculture oleh Abelardo Montesinos-López, Osval A. Montesinos-López, Gustavo de los Campos, José Crossa, Juan Burgueño, Francisco Javier Luna-Vazquez

    Diterbitkan 2018-06-01
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  18. 18
    Approximate Genome-Based Kernel Models for Large Data Sets Including Main Effects and Interactions

    Approximate Genome-Based Kernel Models for Large Data Sets Including Main Effects and Interactions oleh Jaime Cuevas, Osval A. Montesinos-López, J. W. R. Martini, Paulino Pérez-Rodríguez, Morten Lillemo, Jose Crossa, Jose Crossa

    Diterbitkan 2020-10-01
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  19. 19
    A Genomic Bayesian Multi-trait and Multi-environment Model

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

    Diterbitkan 2016-09-01
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  20. 20
    Genome‐based prediction of Bayesian linear and non‐linear regression models for ordinal data

    Genome‐based prediction of Bayesian linear and non‐linear regression models for ordinal data oleh Paulino Pérez‐Rodríguez, Samuel Flores‐Galarza, Humberto Vaquera‐Huerta, David Hebert del Valle‐Paniagua, Osval A. Montesinos‐López, José Crossa

    Diterbitkan 2020-07-01
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