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Near-infrared spectroscopy to predict provitamin A carotenoids content in maize by Rosales Nolasco, Aldo, Crossa, José, Cuevas, Jaime, Cabrera-Soto, Luisa María, Dhliwayo, Thanda, Ndhlela, Thokozile, Palacios Rojas, Natalia

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Prediction of near-term climate change impacts on UK wheat quality and the potential for adaptation through plant breeding by Fradgley, Nick, Bacon, James, Bentley, Alison R., Costa Neto, Germano, Cottrell, Andrew, Crossa, José, Cuevas, Jaime, Kerton, Matthew, Pope, Edward, Swarbreck, Stéphanie M., Gardner, Keith A.

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Modeling within and between sub-genomes epistasis of synthetic hexaploid wheat for genome-enabled prediction of diseases by Cuevas, Jaime, González-Diéguez, David O., Dreisigacker, Susanne, Martini, Johannes W.R., Crespo-Herrera, Leonardo A., Lozano-Ramirez, Nerida, Singh, Pawan Kumar, He, Xinyao, Huerta-Espino, Julio, Crossa, Jose

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Genomic prediction of synthetic hexaploid wheat upon tetraploid durum and diploid Aegilops parental pools by Dreisigacker, Susanne, Martini, Johannes W. R., Cuevas, Jaime, Pérez-Rodríguez, Paulino, Lozano, Nerida, Huerta-Espino, Julio, Singh, Pawan K., Crespo Herrera, Leonardo A., Bentley, Alison R., Crossa, José

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Genomic selection in plant breeding: methods, models, and perspectives by Crossa, José, Pérez-Rodríguez, Paulino, Cuevas, Jaime, Montesinos-López, Osval, Jarquín, Diego, de los Campos, Gustavo, Burgueño, Juan, González-Camacho, Juan M., Pérez-Elizalde, Sergio, Beyene, Yoseph, Dreisigacker, Susanne, Singh, Ravi, Zhang, Xuecai, Gowda, Manje, Roorkiwal, Manish, Rutkoski, Jessica, Varshney, Rajeev K.

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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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Expanding genomic prediction in plant breeding: harnessing big data, machine learning, and advanced software by Crossa, José, Martini, Johannes W.R., Vitale, Paolo, Perez-Rodriguez, Paulino, Costa-Neto, Germano, Fritsche-Neto, Roberto, Runcie, Daniel E., Cuevas, Jaime, Toledo, Fernando H., Huihui Li, De Vita, Pasquale, Gerard, Guillermo S., Dreisigacker, Susanne, Crespo-Herrera, Leonardo A., Saint Pierre, Carolina, Bentley, Alison R., Lillemo, Morten, Ortiz, Rodomiro, Montesinos-Lopez, Osval A., Montesinos-López, Abelardo

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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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