Resultados de búsqueda - Costa Neto, Germano

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

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EnvRtype: a software to interplay enviromics and quantitative genomics in agriculture por 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 por 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 por 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 por 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 por 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 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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