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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)

Article

Automated Machine Learning: A Case Study of Genomic “Image-Based” Prediction in Maize Hybrids

Galli, G.; Sabadin, F.; Yassue, R.M.; Galves, C.; Fanelli Carvalho, H.; Crossa, J.; Montesinos-Lopez, O.A.; Fritsche-Neto, R. (Frontiers, 2022)

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

Automated Machine Learning: A Case Study of Genomic “Image-Based” Prediction in Maize Hybrids

Optimizing genomic-enabled prediction in small-scale maize hybrid breeding programs: a roadmap review

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

Automated Machine Learning: A Case Study of Genomic “Image-Based” Prediction in Maize Hybrids

Optimizing genomic-enabled prediction in small-scale maize hybrid breeding programs: a roadmap review