| Recommendation of Coffea arabica genotypes by factor analysis IP Barbosa, WG da Costa, M Nascimento, CD Cruz, ACB de Oliveira Euphytica 215, 1-10, 2019 | 30 | 2019 |
| Genome‐enabled prediction through machine learning methods considering different levels of trait complexity IP Barbosa, MJ da Silva, WG da Costa, I de Castro Sant'Anna, ... Crop Science 61 (3), 1890-1902, 2021 | 10 | 2021 |
| Machine learning and statistics to qualify environments through multi-traits in Coffea arabica WG Costa, IP Barbosa, JE de Souza, CD Cruz, M Nascimento, ... Plos one 16 (1), e0245298, 2021 | 8 | 2021 |
| Very Early Biomarkers Screening for Water Deficit Tolerance in Commercial Eucalyptus Clones TR Corrêa, EAT Picoli, WL Pereira, SA Condé, RT Resende, ... Agronomy 13 (3), 937, 2023 | 4 | 2023 |
| Multiple-trait model through Bayesian inference applied to flood-irrigated rice (Oryza sativa L) AC da Silva Junior, I de Castro Sant’Anna, MA Peixoto, LG Torres, ... Euphytica 218 (9), 124, 2022 | 4 | 2022 |
| Application of fuzzy logic for adaptability and stability studies in flood‐irrigated rice (Oryza sativa) AC da Silva Júnior, MJ da Silva, WG da Costa, IC de Sousa, CD Cruz, ... Plant Breeding 140 (6), 1002-1010, 2021 | 3* | 2021 |
| Methods of adaptability and stability applied to the improvement of flooded rice. AC Silva Júnior, VQ Carneiro, IG Santos, WG Costa, GN Silva, CD Cruz, ... | 3 | 2020 |
| Performance of a breeding program for irrigated rice in Southeast Brazil. AC Silva Júnior, VQ Carneiro, IG Santos, WG Costa, RDS Rosado, ... Gene Conserve 18 (72), 2019 | 3 | 2019 |
| Prediction and importance of predictors in approaches based on computational intelligence and machine learning ACS Júnior, WM Moura, LL Bhering, MJS Siqueira, WG Costa, ... Agronomy Science and Biotechnology 9, 1-24, 2023 | 2 | 2023 |
| Genetic diversity and interaction between the maintainers of commercial soybean cultivars using self‐organizing maps WG da Costa, CB Valadares, AC da Silva Júnior, ES Arcanjo, ... Crop Science 62 (6), 2233-2245, 2022 | 2 | 2022 |
| Genomic prediction through machine learning and neural networks for traits with epistasis WG da Costa, M de Oliveira Celeri, I de Paiva Barbosa, GN Silva, ... Computational and Structural Biotechnology Journal 20, 5490-5499, 2022 | 2 | 2022 |
| Potential of dry matter yield from alfalfa germplasm in composing base populations. WG da Costa, IG dos Santos, AC da Silva Júnior, CD Cruz, M Nascimento, ... | 2 | 2021 |
| Metabolic, Nutritional and Morphophysiological Behavior of Eucalypt Genotypes Differing in Dieback Resistance in Field When Submitted to PEG-Induced Water Deficit DD Caetano-Madeira, RP Omena-Garcia, TL Elerati, CB da Silva Lopes, ... Agronomy 13 (5), 1261, 2023 | 1 | 2023 |
| Multi-information analysis for recommendation of flooded-irrigated rice for adaptability and phenotypic stability ACS Júnior, MJ Silva, WG Costa, IC Sousa, CD Cruz, M Nascimento, ... Agronomy Science and Biotechnology 8, 1-15, 2022 | 1 | 2022 |
| Quarter century genetic progress in irrigated rice (Oryza sativa) in Southeast Brazil WG da Costa, AC da Silva Júnior, IP Barbosa, CD Cruz, A Borém, ... Plant Breeding 140 (6), 990-1001, 2021 | 1 | 2021 |
| Dynamics, diversity and experimental precision in final irrigated rice testing: a time meta-analysis WG Costa, AB Oliveira, CD Cruz, RDS Rosado, PC Soares Crop Breeding and Applied Biotechnology 20, e30032042, 2020 | 1 | 2020 |
| Bayesian inference applied to soybean grown under different shading levels using the multiple-trait model AC Silva, WG Costa, AG Guimarães, WM Moura, LJM Campos, ... Scientia Agricola 81, e20220233, 2024 | | 2024 |
| Trait prediction through computational intelligence and machine learning applied to soybean (Glycine max) breeding in shaded environments AC da Silva Júnior, WG Costa, AG Guimarães, WM Moura, LL Bhering, ... bioRxiv, 2024.01. 31.578252, 2024 | | 2024 |
| Eficiência de técnicas de machine learning e de redes neurais na predição genômica e identificação de marcadores WG Costa Universidade Federal de Viçosa, 2022 | | 2022 |
| Genome-enabled prediction through machine learning methods considering different levels of trait complexity. I de Paiva Barbosa, MJ da Silva, WG da Costa, I de Castro Sant'Anna, ... | | 2021 |
Cosme CruzProfessor de Biometria, Universidade Federal de ViçosaAdresse e-mail validée de ufv.br
