Resultados de búsqueda

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

Enlace del recurso

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

Enlace del recurso

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

Enlace del recurso

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

Enlace del recurso

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

Enlace del recurso

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

Enlace del recurso

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

Enlace del recurso

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

Enlace del recurso

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

Enlace del recurso

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

Enlace del recurso