Search Results - Gerard, Guillermo S.

Can wheat beat the heat and drought? by Crespo-Herrera, Leonardo A., Velu, Govindan, Huerta Espino, Julio, Gerard, Guillermo S., Singh, Ravi P.

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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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How leaf rust disease and its control with fungicides affect dough properties, gluten quality and loaf volume under different N rates in wheat by Fleitas, María Constanza, Schierenbeck, Matías, Gerard, Guillermo Sebastián, Dietz, Juan Ignacio, Golik, Silvina Inés, Campos, Pablo Eduardo, Simón, María Rosa

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Bayesian divergence-based approach for genomic multitrait ordinal selection by Villar-Hernández, Bartolo de Jesús, Singh, Pawan Kumar, Lozano, Nerida, Vitale, Paolo, Gerard, Guillermo Sebastián, Breseghello, Flavio, Dreisigacker, Susanne, Crossa, Jose

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Optimizing genomic parental selection for categorical and continuous-categorical multi-trait mixtures by Villar-Hernandez, Bartolo de Jesús, Perez-Rodriguez, Paulino, Vitale, Paolo, Gerard, Guillermo S., Montesinos-Lopez, Osval A., Saint Pierre, Carolina, Crossa, José, Dreisigacker, Susanne

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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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Prediction of Australian wheat genotype by environment interactions and mega-environments by Fradgley, Nick, Gerard, Guillermo Sebastián, Velu, Govindan, Nicol, Julie M., Singh, Amit Kumar, Tadesse, Wuletaw, Zwart, Alexander B., Trethowan, Richard, Trevaskis, Ben, Whan, Alex, Hyles, Jessica

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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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Author Correction: Enhanced radiation use efficiency and grain filling rate as the main drivers of grain yield genetic gains in the CIMMYT elite spring wheat yield trial by Gerard, Guillermo, Mondal, Suchismita, Piñera Chavez, Francisco J., Rivera Amado, A. Carolina, Molero, Gemma, Crossa, José, Huerta-Espino, Julio, Velu, Govindan, Braun, Hans J., Singh, Ravi P., Crespo-Herrera, Leonardo A.

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Enhanced radiation use efficiency and grain filling rate as the main drivers of grain yield genetic gains in the CIMMYT elite spring wheat yield trial by Gerard, Guillermo S., Mondal, Suchismita, Piñera Chavez, Francisco J., Rivera Amado, A. Carolina, Molero, Gemma, Crossa, José, Huerta-Espino, Julio, Velu, Govindan, Braun, Hans J., Singh, Ravi P., Crespo-Herrera, Leonardo A.

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Genomic prediction from multi-environment trials of wheat breeding by Garcia Barrios, Guillermo, Crespo Herrera, Leonardo A., Cruz-Izquierdo, Serafín, Vitale, Paolo, Sandoval-Islas, José Sergio, Gerard, Guillermo Sebastián, Aguilar Rincón, Víctor Heber, Corona-Torres, Tarsicio, Crossa, José, Pacheco Gil, Rosa Angela

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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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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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Unraveling the genetic basis of general combining ability in CIMMYT elite bread wheat germplasm: implications for breeding strategies optimization by Saavedra-Avila, José Ignacio, Gerard, Guillermo Sebastián, Esposito, Salvatore, Velu, Govindan, Huerta-Espino, Julio, Tarekegn, Zerihun Tadesse, Dreisigacker, Susanne, Saint Pierre, Carolina, Pacheco Gil, Rosa Angela, Toledo, Fernando Henrique, Gardner, Keith, Crespo Herrera, Leonardo Abdiel, Crossa, Jose, Vitale, Paolo

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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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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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