Search Results - Costa-Neto, Germano

Enviromics: bridging different sources of data, building one framework by Costa-Neto, Germano, Fritsche-Neto, Roberto

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Enviromic assembly increases accuracy and reduces costs of the genomic prediction for yield plasticity in maize by Costa-Neto, Germano, Crossa, José, Fritsche-Neto, Roberto

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EnvRtype: a software to interplay enviromics and quantitative genomics in agriculture by Costa-Neto, Germano, Galli, Giovanni, Carvalho, Humberto Fanelli, Crossa, José, Fritsche-Neto, Roberto

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Enviromic prediction is useful to define the limits of climate adaptation: A case study of common bean in Brazil by Heinemann, Alexandre Bryan, Costa-Neto, Germano, Fritsche-Neto, Roberto, da Matta, David Henriques, Fernandes, Igor Kuivjogi

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Upland rice breeding led to increased drought sensitivity in Brazil by Heinemann, Alexandre B., Ramírez Villegas, Julián Armando, Rebolledo, María Camila, Costa Neto, Germano Martins F., Pereira Castro, Adriano

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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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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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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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