Search Results - Saint Pierre, Carolina

Genetic dissection for head blast resistance in wheat using two mapping populations by 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 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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Linkage disequilibrium patterns, population structure and diversity analysis in a worldwide durum wheat collection including Argentinian genotypes by 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 by 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 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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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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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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Global diversity analysis identifies ample space for using CIMMYT and ICARDA’s wheat germplasm collections in breeding programs by 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 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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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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Wheat genetic resources have avoided disease pandemics, improved food security, and reduced environmental footprints: A review of historical impacts and future opportunities by 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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