| Factor analysis using mixed models of multi-environment trials with different levels of unbalancing JJ Nuvunga, LA Oliveira, AKA Pamplona, CP Silva, RR Lima, M Balestre Genetics and Molecular Research 14 (4), 14262-14278, 2015 | 31 | 2015 |
| Credible intervals for scores in the AMMI with random effects for genotype L Antonio de Oliveira, C Pereira da Silva, JJ Nuvunga, AQ Da Silva, ... Crop Science 55 (2), 465-476, 2015 | 31 | 2015 |
| A Bayesian shrinkage approach for AMMI models CP da Silva, LA de Oliveira, JJ Nuvunga, AKA Pamplona, M Balestre Plos one 10 (7), e0131414, 2015 | 27 | 2015 |
| AMMI Bayesian models to study stability and adaptability in maize LAY Bernardo Júnior, CP de Silva, LA de Oliveira, JJ Nuvunga, LPM Pires, ... Agronomy Journal 110 (5), 1765-1776, 2018 | 26 | 2018 |
| Bayesian GGE biplot models applied to maize multi-environments trials LA De Oliveira, CP Da Silva, JJ Nuvunga, AQ Da Silva, M Balestre Genet Mol Res 15 (2), 1-21, 2016 | 24 | 2016 |
| Heterogeneity of variances in the Bayesian AMMI model for multienvironment trial studies CP da Silva, LA de Oliveira, JJ Nuvunga, AKA Pamplona, M Balestre Crop Science 59 (6), 2455-2472, 2019 | 17 | 2019 |
| Mixture mixed models: biennial growth as a latent variable in coffee bean progenies IC Vieira Júnior, C Pereira da Silva, JJ Nuvunga, CE Botelho, ... Crop Science 59 (4), 1424-1441, 2019 | 13 | 2019 |
| Predictive ability of AMMI and factorial analytical models in the study of unbalanced multi-environment data RF Romão, JJ Nuvunga, CP Silva, LA Oliveira, CTE Mendes, M Balestre Genet. Mol. Res 18, 1-20, 2019 | 12 | 2019 |
| Bayesian factor analytic model: An approach in multiple environment trials JJ Nuvunga, CP da Silva, LA de Oliveira, RR de Lima, M Balestre Plos one 14 (8), e0220290, 2019 | 12 | 2019 |
| A Bayesian shrinkage approach for AMMI models CP Silva, LA de Oliveira, JJ Nuvunga, AKA Pamplona, M Balestre PLoS One 10 (7), 1-27, 2015 | 12 | 2015 |
| Shrinkage in the Bayesian analysis of the GGE model: A case study with simulation LA Oliveira, CP Silva, AQ Silva, CTE Mendes, JJ Nuvunga, JA Muniz, ... PloS one 16 (8), e0256882, 2021 | 7 | 2021 |
| Genetic progress, adaptability and stability of maize cultivars for value of cultivation and use trials JV Uate, JJ Nuvunga, CP Silva, LJM Guimarães, RGV Pinho, M Balestre Acta Scientiarum. Agronomy 41, e42624, 2019 | 6 | 2019 |
| Bayesian GGE model for heteroscedastic multienvironmental trials LA de Oliveira, CP da Silva, AQ da Silva, CTE Mendes, JJ Nuvunga, ... Crop Science 62 (3), 982-996, 2022 | 4 | 2022 |
| Maize hybrid stability in environments under water restriction using mixed models and factor analysis AO Santos, JJ Nuvunga, CP Silva, PLPM 2, RG Von Pinho, ... Genetics and Molecular Research 16 (2), gmr16029672, 2017 | 4 | 2017 |
| Stability and adaptability of elite upland rice lines using Bayesian-AMMI model JJ Nuvunga, AQ da Silva, CTE Mendes, G Cossa, LA de Oliveira, ... Australian Journal of Crop Science 15 (2), 244-250, 2021 | 3 | 2021 |
| Evaluating the adaptability and stability of common peanut varieties ('Arachis hypogaea'L.) in Northern Mozambique using the AMMI Bayesian model JJ Nuvunga, CTE Mendes, AQ da Silva, LA de Oliveira, CP da Silva, ... Australian Journal of Crop Science 16 (7), 886-892, 2022 | 1 | 2022 |
| Análise de adaptabilidade e estabilidade genotípica com o modelo de efeitos principais aditivos e interação multiplicativa (AMMI) MVF De Paiva, LA de Oliveira, AQ da Silva, CP da Silva, MLS Belini, ... OBSERVATÓRIO DE LA ECONOMÍA LATINOAMERICANA 21 (11), 19772-19784, 2023 | | 2023 |
| Efeito de encolhimento na análise bayesiana do modelo GGE utilizando priori de máxima entropia LA de Oliveira, CP da Silva, AQ da Silva, CTE Mendes, JJ Nuvunga, ... Sigmae 12 (1), 158-171, 2023 | | 2023 |
| Adaptabilidade e estabilidade de cultivares de milho de baixo custo de sementes. JV UATE, BDB CORSI, JJ Nuvunga, LJM Guimarães, RG Von Pinho, ... In: CONGRESSO NACIONAL DE MILHO E SORGO, 32., 2018, Lavras. Soluções …, 2018 | | 2018 |
VON PINHO R.G.UNIVERSIDADE FEDERAL DE LAVRASVerified email at dag.ufla.br
