Search Results - Montesinos López, Abelardo

Balancing sensitivity and specificity enhances top and bottom ranking in genomic prediction of cultivars by Montesinos-Lopez, Osval A., Kismiantini, Alemu, Admas, Montesinos-López, Abelardo, Montesinos-Lopez, José Cricelio, Crossa, Jose

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Using an incomplete block design to allocate lines to environments improves sparse genome-based prediction in plant breeding by Montesinos López, Osval A., Montesinos López, Abelardo, Acosta, Ricardo, Varshney, Rajeev K., Bentley, Alison R., Crossa, José

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

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Refining penalized ridge regression: a novel method for optimizing the regularization parameter in genomic prediction by Montesinos-López, Abelardo, Montesinos-Lopez, Osval A., Lecumberry, Federico, Fariello, María I., Montesinos-Lopez, José C., Crossa, José

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Genotype performance estimation in targeted production environments by using sparse genomic prediction by Montesinos-Lopez, Osval A., Vitale, Paolo, Gerard, Guillermo S., Crespo-Herrera, Leonardo A., Saint Pierre, Carolina, Montesinos-López, Abelardo, Crossa, José

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Predicting grain yield using canopy hyperspectral reflectance in wheat breeding data by 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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Optimizing genomic prediction with transfer learning under a ridge regression framework by Montesinos-Lopez, Osval A., Barajas-Ramirez, Eduardo A., Salinas Ruiz, Josafhat, Montesinos-López, Abelardo, Gerard, Guillermo S., Vitale, Paolo, Dreisigacker, Susanne, Saint Pierre, Carolina, Crossa, José

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Genomic prediction powered by multi-omics data by Montesinos-Lopez, Osval Antonio, Montesinos-Lopez, Abelardo, Mosqueda González, Brandon Alejandro, Delgado-Enciso, Iván, Chavira-Flores, Moises, Crossa, Jose, Dreisigacker, Susanne, Sun, Jin, Ortiz, Rodomiro

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Boosting genomic prediction transferability with sparse testing by Montesinos-Lopez, Osval A., Crossa, Jose, Vitale, Paolo, Gerard, Guillermo S., Crespo Herrera, Leonardo A., Dreisigacker, Susanne, Saint Pierre, Carolina, Delgado-Enciso, Iván, Montesinos-López, Abelardo, Howard, Reka

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A review of multimodal deep learning methods for genomic-enabled prediction in plant breeding by Montesinos-Lopez, Osval A., Chavira-Flores, Moises, Kismiantini, Crespo-Herrera, Leonardo A., Saint Pierre, Carolina, Huihui Li, Fritsche-Neto, Roberto, Khalid Al-Nowibet, Montesinos-Lopez, Abelardo, Crossa, José

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Data augmentation enhances plant-genomic-enabled predictions by Montesinos-Lopez, Osval A., Solis-Camacho, Mario Alberto, Crespo Herrera, Leonardo A., Saint Pierre, Carolina, Huerta Prado, Gloria Isabel, Ramos-Pulido, Sofia, Al-Nowibet, Khalid, Fritsche-Neto, Roberto, Gerard, Guillermo S., Montesinos-Lopez, Abelardo, Crossa, José

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Enhancing wheat genomic prediction by a hybrid kernel approach by Cuevas, Jaime, Crossa, Jose, Montesinos-Lopez, Abelardo, Martini, Johannes W.R., Gerard, Guillermo Sebastián, Ortegón, Jaime, Dreisigacker, Susanne, Velu, Govindan, Perez-Rodriguez, Paulino, Saint Pierre, Carolina, Crespo-Herrera, Leonardo Abdiel, Montesinos-Lopez, Osval A., Vitale, Paolo

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

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Integration of physiological and remote sensing traits for improved genomic prediction of wheat yield by Garcia Barrios, Guillermo, Robles-Zazueta, Carlos A., Montesinos-López, Abelardo, Montesinos-Lopez, Osval Antonio, Reynolds, Matthew Paul, Dreisigacker, Susanne, Carrillo-Salazar, José A., Acevedo-Siaca, Liana, Guerra-Lugo, Margarita, Thompson, Gilberto, Pecina-Martínez, José A., Crossa, Jose

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Optimizing sparse testing for genomic prediction of plant breeding crops by Montesinos López, Osval A., Saint Pierre, Carolina, Gezan, Salvador A., Bentley, Alison R., Mosqueda Gonzalez, Brandon A., Montesinos López, Abelardo, Eeuwijk, Fred A. van, Beyene, Yoseph, Gowda, Manje, Gardner, Keith A., Gerard, Guillermo S., Crespo-Herrera, Leonardo A., Crossa, José

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Deep learning methods improve genomic prediction of wheat breeding by Montesinos-Lopez, Abelardo, Crespo Herrera, Leonardo A., Dreisigacker, Susanna, Gerard, Guillermo S., Vitale, Paolo, Saint Pierre, Carolina, Velu, Govindan, Tarekegn, Zerihun Tadesse, Chavira-Flores, Moisés, Pérez-Rodríguez, Paulino, Ramos-Pulido, Sofía, Lillemo, Morten, Huihui Li, Montesinos-Lopez, Osval ., Crossa, José

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Improving wheat grain yield genomic prediction accuracy using historical data by Vitale, Paolo, Montesinos-Lopez, Osval Antonio, Gerard, Guillermo Sebastián, Velu, Govindan, Tarekegn, Zerihun Tadesse, Montesinos-Lopez, Abelardo, Dreisigacker, Susanne, Pacheco Gil, Rosa Angela, Toledo, Fernando Henrique, Saint Pierre, Carolina, Pérez-Rodríguez, Paulino, Gardner, Keith, Crespo Herrera, Leonardo Abdiel, Crossa, Jose

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Bayesian multitrait kernel methods improve multienvironment genome-based prediction by Montesinos López, Osval A., Montesinos López, José Cricelio, Montesinos López, Abelardo, Ramírez Alcaraz, Juan Manuel, Poland, Jesse A., Singh, Ravi P., Dreisigacker, Susanne, Crespo-Herrera, Leonardo A., Mondal, Suchismita, Velu, Govindan, Juliana, Philomin, Huerta Espino, Julio, Shrestha, Sandesh, Varshney, Rajeev K., Crossa, José

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A marker weighting approach for enhancing within-family accuracy in genomic prediction by Montesinos-Lopez, Osval A., Crespo Herrera, Leonardo A., Xavier, Alencar, Gowda, Manje, Beyene, Yoseph, Saint Pierre, Carolina, Rosa-Santamaria, Roberto de la, Salinas-Ruiz, Josafhat, Gerard, Guillermo S., Vitale, Paolo, Dreisigacker, Susanne, Lillemo, Morten, Grignola, Fernando, Sarinelli, Martin, Pozzo, Ezequiel, Quiroga, Marco, Montesinos-Lopez, Abelardo, Crossa, José

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Machine learning algorithms translate big data into predictive breeding accuracy by Crossa, José, Montesinos-Lopez, Osval A., Costa-Neto, Germano, Vitale, Paolo, Martini, Johannes W.R., Runcie, Daniel E., Fritsche-Neto, Roberto, Montesinos-Lopez, Abelardo, Perez-Rodriguez, Paulino, Gerard, Guillermo S., Dreisigacker, Susanna, Crespo-Herrera, Leonardo A., Saint Pierre, Carolina, Lillemo, Morten, Cuevas, Jaime, Bentley, Alison R., Ortiz, Rodomiro

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