Resultados de búsqueda - Montesinos López, Abelardo

Balancing sensitivity and specificity enhances top and bottom ranking in genomic prediction of cultivars por 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 por 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 por 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 por 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 por 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 por 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 por 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 por 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 por 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 por 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 por 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 por 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 por 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 por 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 por 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 por 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 por 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 por 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 por 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 por 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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