Resultados de búsqueda - Saint Pierre, Carolina

Genetic dissection for head blast resistance in wheat using two mapping populations por Xinyao He, Kabir, Muhammad Rezaul, Roy, Krishna K., Marza, Felix, Chawade, Aakash, Duveiller, Etienne, Saint Pierre, Carolina, Singh, Pawan K.

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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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Linkage disequilibrium patterns, population structure and diversity analysis in a worldwide durum wheat collection including Argentinian genotypes por Roncallo, Pablo Federico, Larsen, Adelina Olga, Achilli, Ana Laura, Saint Pierre, Carolina, Gallo, Cristian Andrés, Dreisigacker, Susanne, Echenique, Carmen Viviana

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Phenotyping mediterranean durum wheat landraces for resistance to Zymoseptoria tritici in Tunisia por Ben M’Barek, Sarrah, Laribi, Marwa, Kouki, Hajer, Castillo, Dalma, Araar, Chayma, Nefzaoui, Meriem, Ammar, Karim, Saint Pierre, Carolina, Yahyaoui, Amor Hassine

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Optimizing genomic parental selection for categorical and continuous-categorical multi-trait mixtures por 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 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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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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Global diversity analysis identifies ample space for using CIMMYT and ICARDA’s wheat germplasm collections in breeding programs por Sansaloni, Carolina P., Franco, Jorge, Santos, Bruno, Caccamo, Mario Jose, Singh, Sukhwinder, Petroli, Cesar, Payne, Thomas S., Marshall, David, Kilian, Benjamin, Saint Pierre, Carolina, Kilian, Andrzej, Wenzl, Peter, Nawar, Mohamed, Sonder, Kai, Campos, Jaime, Vikram, P., Pixley, Kevin

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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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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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Unraveling the genetic basis of general combining ability in CIMMYT elite bread wheat germplasm: implications for breeding strategies optimization por 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 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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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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Expanding genomic prediction in plant breeding: harnessing big data, machine learning, and advanced software por 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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Wheat genetic resources have avoided disease pandemics, improved food security, and reduced environmental footprints: A review of historical impacts and future opportunities por King, Julie, Dreisigacker, Susanne, Reynolds, Matthew P., Bandyopadhyay, Anindya, Braun, Hans Joachim, Crespo-Herrera, Leonardo, Crossa, Jose, Govindan, Velu, Huerta-Espino, Julio, Ibba, Maria Itria, Robles-Zazueta, Carlos A., Saint Pierre, Carolina, Pawan Kumar Singh, Singh, Ravi P., Achary, V. Mohan Murali, Bhavani, Sridhar, Blasch, Gerald, Shifeng Cheng, Dempewolf, Hannes, Flavell, Richard B., Gerard, Guillermo S., Grewal, Surbhi, Griffiths, Simon, Hawkesford, Malcolm J., Xinyao He, Hearne, Sarah, Hodson, David P., Howell, Phil, Jalal Kamali, Mohammad Reza, Karwat, Hannes, Kilian, Benjamin, King, Ian P., Kishii, Masahiro, Kommerell, Victor Maurice, Lagudah, Evans S., Caixia Lan, Montesinos-Lopez, Osval A., Nicholson, Paul, Pérez- Rodríguez, Paulino, Pinto Espinosa, Francisco, Pixley, Kevin V., Rebetzke, Greg J., Rivera Amado, A. Carolina, Sansaloni, Carolina P., Schulthess, Urs, Sharma, Shivali, Shewry, Peter, Guntar Subbarao, Tiwari, Thakur Prasad, Trethowan, Richard M., Uauy, Cristobal

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