Roberto Fritsche-Neto

Scopus Author ID Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 15

Top Venues

BMC plant biology

G3 (Bethesda, Md.)

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik

Heredity

Universidade de São Paulo Escola Superior de Agricultura Luiz de Queiroz

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Universidade de São Paulo Escola Superior de Agricultura Luiz de Queiroz Sep 11 2011

Brazil

Professor Doutor :: Genética

Cornell University Aug 01 2016 - Jul 31 2017

United States

Visiting Scientist :: Plant Breeding

Universidade Federal de Viçosa Jan 01 2011 - Dec 31 2012

Brazil

Professor Substituto :: Fitotecnia

University of Minnesota Twin Cities May 28 2012 - Jun 13 2012

United States

Visiting scientist :: Plant Science

Publications

Raysa Gevartosky, Humberto Fanelli Carvalho, Germano Costa-Neto, Osval Antonio Montesinos-López, José Crosa, Roberto Fritsche-Neto
Enviromic-based kernels may optimize resource allocation with multi-trait multi-environment genomic prediction for tropical Maize. BMC plant biology 23 (1) (2023)
Raysa Gevartosky, Humberto Fanelli Carvalho, Germano Costa-Neto, Osval Antonio Montesinos-López, José Crosa, Roberto Fritsche-Neto
Enviromic-based kernels may optimize resource allocation with multi-trait multi-environment genomic prediction for tropical Maize. BMC plant biology 23 (1) (2023)
Rafael Massahiro Yassue, Giovanni Galli, Chun-Peng James Chen, Roberto Fritsche-Neto, Gota Morota
Genome-wide association analysis of hyperspectral reflectance data to dissect the genetic architecture of growth-related traits in maize under plant growth-promoting bacteria inoculation. Plant direct 7 (4) (2023)
Raysa Gevartosky, Humberto Fanelli Carvalho, Germano Costa-Neto, Osval Antonio Montesinos-López, José Crosa, Roberto Fritsche-Neto
Enviromic-based kernels may optimize resource allocation with multi-trait multi-environment genomic prediction for tropical Maize. BMC plant biology 23 (1) (2023)
Rafael Massahiro Yassue, Giovanni Galli, Chun-Peng James Chen, Roberto Fritsche-Neto, Gota Morota
Genome-wide association analysis of hyperspectral reflectance data to dissect the genetic architecture of growth-related traits in maize under plant growth-promoting bacteria inoculation. Plant direct 7 (4) (2023)
Raysa Gevartosky, Humberto Fanelli Carvalho, Germano Costa-Neto, Osval Antonio Montesinos-López, José Crosa, Roberto Fritsche-Neto
Enviromic-based kernels may optimize resource allocation with multi-trait multi-environment genomic prediction for tropical Maize. BMC plant biology 23 (1) (2023)
Roberto Fritsche-Neto, Jauhar Ali, Erik Jon De Asis, Mehrzad Allahgholipour, Marlee Rose Labroo
Improving hybrid rice breeding programs via stochastic simulations: number of parents, number of hybrids, tester update, and genomic prediction of hybrid performance. TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik 137 (1) (2023)
Júlio César DoVale, Humberto Fanelli Carvalho, Felipe Sabadin, Roberto Fritsche-Neto
Genotyping marker density and prediction models effects in long-term breeding schemes of cross-pollinated crops. TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik (2022)
Germano Costa-Neto, Leonardo A Crespo-Herrera, Nick S Fradgley, Keith Gardner, Alison R Bentley, Susanne Dreisigacker, Roberto Fritsche-Neto, Osval A Montesinos-López, José Crosa
ENVIROME-WIDE ASSOCIATIONS ENHANCE MULTI-YEAR GENOME-BASED PREDICTION OF HISTORICAL WHEAT BREEDING DATA. G3 (Bethesda, Md.) (2022)
Felipe Sabadin, Humberto Fanelli Carvalho, Giovanni Galli, Roberto Fritsche-Neto
Population-tailored mock genome enables genomic studies in species without a reference genome. Molecular genetics and genomics : MGG (2021)
Germano Costa-Neto, Roberto Fritsche-Neto, José Crosa
Nonlinear kernels, dominance, and envirotyping data increase the accuracy of genome-based prediction in multi-environment trials. Heredity 126 (1) (2020)
Jaime Cuevas, Italo Granato, Roberto Fritsche-Neto, Osval A Montesinos-Lopez, Juan Burgueño, Massaine Bandeira E Sousa, José Crosa
Genomic-Enabled Prediction Kernel Models with Random Intercepts for Multi-environment Trials. G3 (Bethesda, Md.) 8 (4) (2018)
Ítalo Stefanine Correia Granato, Jaime Cuevas, Francisco Luna-Vázquez, José Crosa, Osval Montesinos-López, Juan Burgueño, Roberto Fritsche-Neto
BGGE: A New Package for Genomic-Enabled Prediction Incorporating Genotype × Environment Interaction Models. G3 (Bethesda, Md.) 8 (9) (2018)
Deniz Akdemir, William Beavis, Roberto Fritsche-Neto, Asheesh K Singh, Julio Isidro-Sánchez
Multi-objective optimized genomic breeding strategies for sustainable food improvement. Heredity 122 (5) (2018)
Roberto Fritsche-Neto, Deniz Akdemir, Jean-Luc Jannink
Accuracy of genomic selection to predict maize single-crosses obtained through different mating designs. TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik 131 (5) (2018)

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Publication Activity (10 Years)

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Roberto Fritsche-Neto