| The modern plant breeding triangle: optimizing the use of genomics, phenomics, and enviromics data J Crossa, R Fritsche-Neto, OA Montesinos-Lopez, G Costa-Neto, ... Frontiers in plant science 12, 651480, 2021 | 109 | 2021 |
| Nonlinear kernels, dominance, and envirotyping data increase the accuracy of genome-based prediction in multi-environment trials G Costa-Neto, R Fritsche-Neto, J Crossa Heredity 126 (1), 92-106, 2021 | 86 | 2021 |
| EnvRtype: a software to interplay enviromics and quantitative genomics in agriculture G Costa-Neto, G Galli, HF Carvalho, J Crossa, R Fritsche-Neto G3 11 (4), jkab040, 2021 | 56 | 2021 |
| Upland rice breeding led to increased drought sensitivity in Brazil AB HEINEMANN, J RAMIREZ-VILLEGAS, MC REBOLLEDO, ... FIELD CROPS RESEARCH 231, p. 57-67, 2019 | 31 | 2019 |
| A novel GIS-based tool to reveal spatial trends in reaction norm: upland rice case study GMF Costa-Neto, OP Morais Júnior, AB Heinemann, AP de Castro, ... Euphytica 216, 1-16, 2020 | 22 | 2020 |
| Enviromic assembly increases accuracy and reduces costs of the genomic prediction for yield plasticity in maize G Costa-Neto, J Crossa, R Fritsche-Neto Frontiers in Plant Science 12, 717552, 2021 | 19 | 2021 |
| Optimizing genomic-enabled prediction in small-scale maize hybrid breeding programs: a roadmap review R Fritsche-Neto, G Galli, KLR Borges, G Costa-Neto, FC Alves, F Sabadin, ... Frontiers in Plant Science 12, 658267, 2021 | 18 | 2021 |
| Enviromics: bridging different sources of data, building one framework G Costa-Neto, R Fritsche-Neto Crop Breeding and Applied Biotechnology 21, 2021 | 17 | 2021 |
| Genome and Environment Based Prediction ModelsPrediction models and Methods of Complex TraitsComplex traits Incorporating Genotype × Environment … J Crossa, OA Montesinos-Lopez, P Pérez-Rodríguez, G Costa-Neto, ... Genomic Prediction of Complex Traits: Methods and Protocols, 245-283, 2022 | 13 | 2022 |
| Enviromic prediction is useful to define the limits of climate adaptation: a case study of common bean in Brazil AB Heinemann, G Costa-Neto, R Fritsche-Neto, DH da Matta, ... Field Crops Research 286, 108628, 2022 | 12 | 2022 |
| Envirome-wide associations enhance multi-year genome-based prediction of historical wheat breeding data G Costa-Neto, L Crespo-Herrera, N Fradgley, K Gardner, AR Bentley, ... G3 13 (2), jkac313, 2023 | 10 | 2023 |
| A novel way to validate UAS-based high-throughput phenotyping protocols using in silico experiments for plant breeding purposes G Galli, F Sabadin, GMF Costa-Neto, R Fritsche-Neto Theoretical and Applied Genetics 134, 715-730, 2021 | 6 | 2021 |
| Uso de informações ambientais na modelagem e interpretação da interação genótipo x ambiente: revisão bibliográfica. GMF COSTA NETO, JB Duarte, AP de Castro, AB Heinemann Santo Antônio de Goiás: Embrapa Arroz e Feijão, 2020., 2020 | 6 | 2020 |
| Prediction of near‐term climate change impacts on UK wheat quality and the potential for adaptation through plant breeding NS Fradgley, J Bacon, AR Bentley, G Costa‐Neto, A Cottrell, J Crossa, ... Global Change Biology 29 (5), 1296-1313, 2023 | 5 | 2023 |
| Genome and environment based prediction modelsprediction models and methods of complex traitscomplex traits incorporating genotype× environment interaction J Crossa, OA Montesinos-López, P Pérez-Rodríguez, G Costa-Neto, ... Methods in molecular biology. Genomic prediction of complex traits: methods …, 2022 | 4 | 2022 |
| Enviromic-based kernels may optimize resource allocation with multi-trait multi-environment genomic prediction for tropical Maize R Gevartosky, HF Carvalho, G Costa-Neto, OA Montesinos-López, ... BMC Plant Biology 23 (1), 10, 2023 | 3 | 2023 |
| Reviewer for: Open-source analytical pipeline for robust data analysis, visualizations and sharing in crop breeding. MGCNR Hussain, W., Anumalla, M., Catolos Plant Methods 18 (14), 2022 | 3 | 2022 |
| Enviromic prediction enables the characterization and mapping of Eucalyptus globulus Labill breeding zones A Callister, G Costa-Neto, BP Bradshaw, S Elms, J Crossa, JT Brawner Tree Genetics & Genomes 20 (3), https://doi.org/10.1007/s11295-023-01636, 2024 | 2 | 2024 |
| Environmental clusters defining breeding zones for tropical irrigated rice in Brazil G Costa-Neto, D da Matta, IK Fernandes, AB Heinemann Agronomy Journal 115 (5), 2023 | 2 | 2023 |
| Estimativa da temperatura média do Estado de Goiás utilizando um interpolador SIG e coordenadas geográficas GWM PEREIRA, D CASAROLI, BV BRITO, G Costa-Neto, ... XVI SBSR Simpósio Brasileiro de Sensoriamento Remoto, 2013, Foz do Iguaçu, 2013 | 2 | 2013 |
Roberto Fritsche-NetoAssistant Professor of Prediction-based BreedingVerified email at agcenter.lsu.edu
