Listar por autor "Costa-Neto, G."
Mostrando ítems 1-10 de 10
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Book Chapter
Chapter 9. Genome and Environment Based Prediction Models and Methods of Complex Traits Incorporating Genotype × Environment Interaction
Crossa, J.; Montesinos-Lopez, O.A.; Perez-Rodriguez, P.; Costa-Neto, G.; Fritsche-Neto, R.; Ortiz, R.; Martini, J.W.R.; Lillemo, M.; Montesinos-Lopez, A.; Jarquín, D.; Breseghello, F.; Cuevas, J.; Rincent, R. (Humana Press Inc., 2022)
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Article
Envirome-wide associations enhance multi-year genome-based prediction of historical wheat breeding data
Costa-Neto, G.; Crespo Herrera, L.A.; Fradgley, N.; Gardner, K.A.; Bentley, A.R.; Dreisigacker, S.; Fritsche-Neto, R.; Montesinos-Lopez, O.A.; Crossa, J. (Genetics Society of America, 2023)
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Article
Enviromic assembly increases accuracy and reduces costs of the genomic prediction for yield plasticity in maize
Costa-Neto, G.; Crossa, J.; Fritsche-Neto, R. (Frontiers, 2021)
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Article
Enviromic prediction enables the characterization and mapping of Eucalyptus globulus Labill breeding zones
Callister, A.N.; Costa-Neto, G.; Bradshaw, B.; Elms, S.; Crossa, J.; Brawner, J.T. (Springer Verlag, 2024)
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Article
Enviromic-based kernels may optimize resource allocation with multi-trait multi-environment genomic prediction for tropical maize
Gevartosky, R.; Fanelli Carvalho, H.; Costa-Neto, G.; Montesinos-Lopez, O.A.; Crossa, J.; Fritsche-Neto, R. (BioMed Central, 2023)
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Article
EnvRtype: a software to interplay enviromics and quantitative genomics in agriculture
Costa-Neto, G.; Galli, G.; Fanelli Carvalho, H.; Crossa, J.; Fritsche-Neto, R. (Genetics Society of America, 2021)
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Article
Nonlinear kernels, dominance, and envirotyping data increase the accuracy of genome-based prediction in multi-environment trials
Costa-Neto, G.; Fritsche-Neto, R.; Crossa, J. (Springer Nature, 2021)
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Article
Optimizing genomic-enabled prediction in small-scale maize hybrid breeding programs: a roadmap review
Fritsche-Neto, R.; Galli, G.; Borges, K.L.R.; Costa-Neto, G.; Alves, F.C.; Sabadin, F.; Lyra, D.H.; Morais, P.P.P.; Braatz de Andrade, L.R.; Granato, I.; Crossa, J. (Frontiers, 2021)
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Article
Prediction of near-term climate change impacts on UK wheat quality and the potential for adaptation through plant breeding
Fradgley, N.; Bacon, J.; Bentley, A.R.; Costa-Neto, G.; Cottrell, A.; Crossa, J.; Cuevas, J.; Kerton, M.; Pope, E.; Swarbreck, S.M.; Gardner, K.A. (Wiley, 2023)
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Article
The modern plant breeding triangle: optimizing the use of genomics, phenomics, and enviromics data
Crossa, J.; Fritsche-Neto, R.; Montesinos-Lopez, O.A.; Costa-Neto, G.; Dreisigacker, S.; Montesinos-Lopez, A.; Bentley, A.R. (Frontiers, 2021)