Search Results - Montesinos López, Osval A.

Probability models for detecting transgenic plants by Hernández-Suárez, Carlos M., Montesinos-López, Osval A., McLaren, Graham, Crossa, José

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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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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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Prediction of root biomass in cassava based on ground penetrating radar phenomics by Agbona, A., Teare, B., Ruíz Guzman, H., Dobreva, I.D., Everett, M.E., Adams,T., Montesinos López, Osval A., Kulakow, Peter A., Hays, D.B.

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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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Envirome-wide associations enhance multi-year genome-based prediction of historical wheat breeding data by Costa Neto, Germano, Crespo-Herrera, Leonardo A., Fradgley, Nick, Gardner, Keith A., Bentley, Alison R., Dreisigacker, Susanne, Fritsche-Neto, Roberto, Montesinos López, Osval A., Crossa, José

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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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Multispectral and thermal infrared data, visual scores for severity of common rust symptoms, and genotypic single nucleotide polymorphism data of three F2-derived biparental double... by Loladze, Alexander, Rodrigues, Francelino, Petroli, Cesar, Muñoz-Zavala, Carlos, Naranjo, Sergio, San Vicente Garcia, Felix M., Gerard, Bruno, Montesinos-Lopez, Osval A., Crossa, Jose, Martini, Johannes W.R.

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Use of remote sensing for linkage mapping and genomic prediction for common rust resistance in maize by Loladze, Alexander, Rodrigues, Francelino A., Petroli, Cesar D., Muñoz-Zavala, Carlos, Naranjo, Sergio, San Vicente García, Felix M., Gerard, Bruno G., Montesinos-Lopez, Osval A., Crossa, Jose, Martini, Johannes W.R.

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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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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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