Browsing by Author "Fritsche-Neto, R."

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

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)

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)

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

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, 2022)

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)

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)

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

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