Browsing by Author "Fritsche-Neto, R."

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)

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)

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)

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)

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.; Pérez-Rodríguez, P.; Jarquin, D.; Fritsche-Neto, R.; Burgueño, J.; Crossa, J. (Genetics Society of America, 2017)

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)

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)

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)

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)

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)

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)

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