Søgeresultater - Germano Costa‐Neto

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  1. 1
    Enviromics: bridging different sources of data, building one framework

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

    Udgivet 2021
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  2. 2
    Nonlinear kernels, dominance, and envirotyping data increase the accuracy of genome-based prediction in multi-environment trials

    Nonlinear kernels, dominance, and envirotyping data increase the accuracy of genome-based prediction in multi-environment trials af Germano Costa‐Neto, Roberto Fritsche‐Neto, José Crossa

    Udgivet 2020
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  3. 3
    Enviromic assembly increases accuracy and reduces costs of the genomic prediction for yield plasticity

    Enviromic assembly increases accuracy and reduces costs of the genomic prediction for yield plasticity af Germano Costa‐Neto, José Crossa, Roberto Fritsche‐Neto

    Udgivet 2021
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  4. 4
    Enviromic Assembly Increases Accuracy and Reduces Costs of the Genomic Prediction for Yield Plasticity in Maize

    Enviromic Assembly Increases Accuracy and Reduces Costs of the Genomic Prediction for Yield Plasticity in Maize af Germano Costa‐Neto, José Crossa, Roberto Fritsche‐Neto

    Udgivet 2021
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  5. 5
    <i>EnvRtype</i>: a software to interplay enviromics and quantitative genomics in agriculture

    <i>EnvRtype</i>: a software to interplay enviromics and quantitative genomics in agriculture af Germano Costa‐Neto, Giovanni Galli, Humberto Fanelli Carvalho, José Crossa, Roberto Fritsche‐Neto

    Udgivet 2020
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  6. 6
    <i>EnvRtype</i>: a software to interplay enviromics and quantitative genomics in agriculture

    <i>EnvRtype</i>: a software to interplay enviromics and quantitative genomics in agriculture af Germano Costa‐Neto, Giovanni Galli, Humberto Fanelli Carvalho, José Crossa, Roberto Fritsche‐Neto

    Udgivet 2021
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  7. 7
    Enviromic prediction enables the characterization and mapping of Eucalyptus globulus Labill breeding zones

    Enviromic prediction enables the characterization and mapping of Eucalyptus globulus Labill breeding zones af Andrew Callister, Germano Costa‐Neto, Ben P. Bradshaw, Stephen Elms, José Crossa, Jeremy Brawner

    Udgivet 2024
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  8. 8
    Enviromic-based Kernels Optimize Resource Allocation with Multi-trait Multi-environment Genomic Prediction for Tropical Maize

    Enviromic-based Kernels Optimize Resource Allocation with Multi-trait Multi-environment Genomic Prediction for Tropical Maize af Raysa Gevartosky, Humberto Fanelli Carvalho, Germano Costa‐Neto, Osval A. Montesinos-L֯ópez, José Crossa, Roberto Fritsche‐Neto

    Udgivet 2021
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  9. 9
    Enviromic-based kernels may optimize resource allocation with multi-trait multi-environment genomic prediction for tropical Maize

    Enviromic-based kernels may optimize resource allocation with multi-trait multi-environment genomic prediction for tropical Maize af Raysa Gevartosky, Humberto Fanelli Carvalho, Germano Costa‐Neto, Osval A. Montesinos‐López, José Crossa, Roberto Fritsche‐Neto

    Udgivet 2023
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  10. 10
    Atendimento de emergência ao paciente queimado na pediatria: uma revisão de literatura / Emergency care for burned patients in pediatrics: a literature review

    Atendimento de emergência ao paciente queimado na pediatria: uma revisão de literatura / Emergency care for burned patients in pediatrics: a literature review af Isaque Alves de Azevedo, Giovanna Modesto Tavares Afonso, Iderval Germano Costa Neto, Manuela Maria Albuquerque Borges Dantas, Lucien Borges Dantas

    Udgivet 2021
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  11. 11
    The Modern Plant Breeding Triangle: Optimizing the Use of Genomics, Phenomics, and Enviromics Data

    The Modern Plant Breeding Triangle: Optimizing the Use of Genomics, Phenomics, and Enviromics Data af José Crossa, Roberto Fritsche‐Neto, Osval A. Montesinos‐López, Germano Costa‐Neto, Susanne Dreisigacker, Abelardo Montesinos‐López, Alison R. Bentley

    Udgivet 2021
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  12. 12
    Envirome-wide associations enhance multi-year genome-based prediction of historical wheat breeding data

    Envirome-wide associations enhance multi-year genome-based prediction of historical wheat breeding data af Germano Costa‐Neto, Leonardo Crespo‐Herrera, Nick Fradgley, Keith A. Gardner, Alison R. Bentley, Susanne Dreisigacker, Roberto Fritsche‐Neto, Osval A. Montesinos‐López, José Crossa

    Udgivet 2022
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  13. 13
    Genome and Environment Based Prediction Models and Methods of Complex Traits Incorporating Genotype × Environment Interaction

    Genome and Environment Based Prediction Models and Methods of Complex Traits Incorporating Genotype × Environment Interaction af José Crossa, Osval A. Montesinos‐López, Paulino Pérez‐Rodríguez, Germano Costa‐Neto, Roberto Fritsche‐Neto, Rodomiro Ortíz, Johannes W. R. Martini, Morten Lillemo, Abelardo Montesinos‐López, Diego Jarquín, F. Breseghello, Jaime Cuevas, Renaud Rincent

    Udgivet 2022
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  14. 14
    Optimizing Genomic-Enabled Prediction in Small-Scale Maize Hybrid Breeding Programs: A Roadmap Review

    Optimizing Genomic-Enabled Prediction in Small-Scale Maize Hybrid Breeding Programs: A Roadmap Review af Roberto Fritsche‐Neto, Giovanni Galli, Karina Lima Reis Borges, Germano Costa‐Neto, Filipe Couto Alves, Felipe Sabadin, Danilo Hottis Lyra, Pedro Patric Pinho Morais, Luciano Rogério Braatz de Andrade, Ítalo Stefanine Correia Granato, José Crossa

    Udgivet 2021
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  15. 15
    Machine learning algorithms translate big data into predictive breeding accuracy

    Machine learning algorithms translate big data into predictive breeding accuracy af José Crossa, Osval A. Montesinos‐López, Germano Costa‐Neto, Paolo Vitale, Johannes W. R. Martini, Daniel E. Runcie, Roberto Fritsche‐Neto, Abelardo Montesinos‐López, Paulino Pérez‐Rodríguez, Guillermo Gerard, Susanna Dreisigacker, Leonardo Crespo‐Herrera, Carolina Saint Pierre, Morten Lillemo, Jaime Cuevas, Alison R. Bentley, Rodomiro Ortíz

    Udgivet 2024
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