Search Results - "Huerta Prado, Gloria Isabel"

Feature engineering of environmental covariates improves plant genomic-enabled prediction by Montesinos-López, Osval A, Crespo-Herrera, Leonardo, Pierre, Carolina Saint, Cano-Paez, Bernabe, Huerta-Prado, Gloria Isabel, Mosqueda-González, Brandon Alejandro, Ramos-Pulido, Sofia, Gerard, Guillermo, Alnowibet, Khalid, Fritsche-Neto, Roberto, Montesinos-López, Abelardo, Crossa, José

“…Because Genomic selection (GS) is a predictive methodology, it needs to guarantee high-prediction accuracies for practical implementations. However, since many…”
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Data Augmentation Enhances Plant-Genomic-Enabled Predictions by Montesinos-López, Osval A, Solis-Camacho, Mario Alberto, Crespo-Herrera, Leonardo, Saint Pierre, Carolina, Huerta Prado, Gloria Isabel, Ramos-Pulido, Sofia, Al-Nowibet, Khalid, Fritsche-Neto, Roberto, Gerard, Guillermo, Montesinos-López, Abelardo, Crossa, José

“…Genomic selection (GS) is revolutionizing plant breeding. However, its practical implementation is still challenging, since there are many factors that affect…”
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Exploring Data Augmentation Algorithm to Improve Genomic Prediction of Top-Ranking Cultivars by Montesinos-López, Osval A, Sivakumar, Arvinth, Huerta Prado, Gloria Isabel, Salinas-Ruiz, Josafhat, Agbona, Afolabi, O, Alnowibet, Khalid, O, Montesinos-López, Abelardo, Crossa, José

“…Genomic selection (GS) is a groundbreaking statistical machine learning method for advancing plant and animal breeding. Nonetheless, its practical…”
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A graph model for genomic prediction in the context of a linear mixed model framework by Montesinos-López, Osval A, Prado, Gloria Isabel Huerta, Montesinos-López, José Cricelio, Montesinos-López, Abelardo, Crossa, José

“…Genomic selection is revolutionizing both plant and animal breeding, with its practical application depending critically on high prediction accuracy. In this…”
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