Browsing by Author "Fritsche-Neto, R."
Now showing items 1-20 of 20
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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)
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Article
BGGE: a new package for genomic-enabled prediction incorporating genotype × environment interaction models
Granato, I.; Cuevas, J.; Luna-Vazquez, F.J.; Crossa, J.; Montesinos-Lopez, O.A.; Burgueño, J.; Fritsche-Neto, R. (Genetics Society of America, 2018)
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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
Correction to: female reproductive organs of Brassica napus are more sensitive than male to transient heat stress
Sheng Chen; Saradadevi, R.; Vidotti, M.S.; Fritsche-Neto, R.; Crossa, J.; Siddique, K.H.M.; Cowling, W.A. (Springer, 2021)
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Article
Data augmentation enhances plant-genomic-enabled predictions
Montesinos-Lopez, O.A.; Solis-Camacho, M.A.; Crespo Herrera, L.A.; Saint Pierre, C.; Huerta Prado, G.I.; Ramos-Pulido, S.; Khalid Al-Nowibet; Fritsche-Neto, R.; Gerard, G.S.; Montesinos-Lopez, A.; Crossa, J. (MDPI, 2024)
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Article
Effect of F1 and F2 generations on genetic variability and working steps of doubled haploid production in maize
De Oliveira Couto, E.G.; Cury, M.N.; Bandeira e Sousa, M.; Granato, I.; Vidotti, M.S.; Garbuglio, D.D.; Crossa, J.; Burgueño, J.; Fritsche-Neto, R. (Public Library of Science, 2019)
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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-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
Female reproductive organs of Brassica napus are more sensitive than male to transient heat stress
Sheng Chen; Saradadevi, R.; Vidotti, M.S.; Fritsche-Neto, R.; Crossa, J.; Siddique, K.H.M.; Cowling, W.A. (Springer, 2021)
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Article
Genomic-enabled prediction in maize using kernel models with genotype x environment interaction
Bandeira e Sousa, M.; Cuevas, J.; De Oliveira Couto, E.G.; Perez-Rodriguez, P.; Jarquín, D.; Fritsche-Neto, R.; Burgueño, J.; Crossa, J. (Genetics Society of America, 2017)
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Article
Genomic-enabled prediction Kernel models with random intercepts for multi-environment trials
Cuevas, J.; Granato, I.; Fritsche-Neto, R.; Montesinos-Lopez, O.A.; Burgueño, J.; Bandeira e Sousa, M.; Crossa, J. (Genetics Society of America, 2018)
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Article
Improving hybrid rice breeding programs via stochastic simulations: number of parents, number of hybrids, tester update, and genomic prediction of hybrid performance
Fritsche-Neto, R.; Ali, J.; De Asis, E.J.; Allahgholipour, M.; Labroo, M. (Springer, 2024)
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Article
Introgression of maize diversity for drought tolerance: subtropical maize landraces as source of new positive variants
Medeiros Barbosa, P.A.; Fritsche-Neto, R.; Carvalho Andrade, M.; Petroli, C.D.; Burgueño, J.; Galli, G.; Willcox, M.; Sonder, K.; Vidal Martinez, A.; Sifuentes-Ibarra, E.; Molnar, T.L. (Frontiers, 2021)
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Article
Maize responsiveness to Azospirillum brasilense: insights into genetic control, heterosis and genomic prediction
Vidotti, M.S.; Matias, F.I.; Alves, F.C.; Perez-Rodriguez, P.; Alvarado Beltrán, G.; Burgueño, J.; Crossa, J.; Fritsche-Neto, R. (Public Library of Science, 2019)
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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
Partial least squares enhances genomic prediction of new environments
Montesinos-Lopez, O.A.; Montesinos-Lopez, A.; Kismiantini; Roman-Gallardo, A.; Gardner, K.A.; Lillemo, M.; Fritsche-Neto, R.; Crossa, J. (Frontiers, 2022)
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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)