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Germano Costa-Neto

Showing results (1-10 of 15) with videos related to

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Frontiers in Plant Science|October 25, 2021
Enviromic Assembly Increases Accuracy and Reduces Costs of the Genomic Prediction for Yield Plasticity in MaizeGermano Costa-Neto, Jose Crossa, Roberto Fritsche-Neto
Frontiers in Plant Science|April 4, 2024
Editorial: Integrated omics approaches to accelerate plant improvementMohsen Yoosefzadeh Najafabadi, Lewis Lukens, Germano Costa-Neto
Heredity|August 29, 2020
Nonlinear kernels, dominance, and envirotyping data increase the accuracy of genome-based prediction in multi-environment trialsGermano Costa-Neto, Roberto Fritsche-Neto, José Crossa
G3 (Bethesda, Md.)|April 9, 2021
EnvRtype: a software to interplay enviromics and quantitative genomics in agricultureGermano Costa-Neto, Giovanni Galli, Humberto Fanelli Carvalho, et al.
BMC Plant Biology|January 5, 2023
Enviromic-based kernels may optimize resource allocation with multi-trait multi-environment genomic prediction for tropical MaizeRaysa Gevartosky, Humberto Fanelli Carvalho, Germano Costa-Neto, et al.
Frontiers in Plant Science|May 3, 2021
The Modern Plant Breeding Triangle: Optimizing the Use of Genomics, Phenomics, and Enviromics DataJose Crossa, Roberto Fritsche-Neto, Osval A Montesinos-Lopez, et al.
G3 (Bethesda, Md.)|December 1, 2022
Envirome-wide associations enhance multi-year genome-based prediction of historical wheat breeding dataGermano Costa-Neto, Leonardo Crespo-Herrera, Nick Fradgley, et al.
Global Change Biology|December 9, 2022
Prediction of near-term climate change impacts on UK wheat quality and the potential for adaptation through plant breedingNick S Fradgley, James Bacon, Alison R Bentley, et al.
Frontiers in Plant Science|July 19, 2021
Optimizing Genomic-Enabled Prediction in Small-Scale Maize Hybrid Breeding Programs: A Roadmap ReviewRoberto Fritsche-Neto, Giovanni Galli, Karina Lima Reis Borges, et al.
Methods in Molecular Biology (Clifton, N.J.)|April 22, 2022
Genome and Environment Based Prediction Models and Methods of Complex Traits Incorporating Genotype × Environment InteractionJosé Crossa, Osval Antonio Montesinos-López, Paulino Pérez-Rodríguez, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Frontiers in Plant Science|October 25, 2021
Enviromic Assembly Increases Accuracy and Reduces Costs of the Genomic Prediction for Yield Plasticity in MaizeGermano Costa-Neto, Jose Crossa, Roberto Fritsche-Neto
Frontiers in Plant Science|April 4, 2024
Editorial: Integrated omics approaches to accelerate plant improvementMohsen Yoosefzadeh Najafabadi, Lewis Lukens, Germano Costa-Neto
Heredity|August 29, 2020
Nonlinear kernels, dominance, and envirotyping data increase the accuracy of genome-based prediction in multi-environment trialsGermano Costa-Neto, Roberto Fritsche-Neto, José Crossa
G3 (Bethesda, Md.)|April 9, 2021
EnvRtype: a software to interplay enviromics and quantitative genomics in agricultureGermano Costa-Neto, Giovanni Galli, Humberto Fanelli Carvalho, et al.
BMC Plant Biology|January 5, 2023
Enviromic-based kernels may optimize resource allocation with multi-trait multi-environment genomic prediction for tropical MaizeRaysa Gevartosky, Humberto Fanelli Carvalho, Germano Costa-Neto, et al.
Frontiers in Plant Science|May 3, 2021
The Modern Plant Breeding Triangle: Optimizing the Use of Genomics, Phenomics, and Enviromics DataJose Crossa, Roberto Fritsche-Neto, Osval A Montesinos-Lopez, et al.
G3 (Bethesda, Md.)|December 1, 2022
Envirome-wide associations enhance multi-year genome-based prediction of historical wheat breeding dataGermano Costa-Neto, Leonardo Crespo-Herrera, Nick Fradgley, et al.
Global Change Biology|December 9, 2022
Prediction of near-term climate change impacts on UK wheat quality and the potential for adaptation through plant breedingNick S Fradgley, James Bacon, Alison R Bentley, et al.
Frontiers in Plant Science|July 19, 2021
Optimizing Genomic-Enabled Prediction in Small-Scale Maize Hybrid Breeding Programs: A Roadmap ReviewRoberto Fritsche-Neto, Giovanni Galli, Karina Lima Reis Borges, et al.
Methods in Molecular Biology (Clifton, N.J.)|April 22, 2022
Genome and Environment Based Prediction Models and Methods of Complex Traits Incorporating Genotype × Environment InteractionJosé Crossa, Osval Antonio Montesinos-López, Paulino Pérez-Rodríguez, et al.
Pageof 2