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Multivariate Adaptive Regression Splines Enhance Genomic Prediction of Non-Additive Traits.
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- Agronomy, 2024, v. 14, n. 10, p. 2234, doi. 10.3390/agronomy14102234
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Genetic diversity and interaction between the maintainers of commercial soybean cultivars using self‐organizing maps.
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- Crop Science, 2022, v. 62, n. 6, p. 2233, doi. 10.1002/csc2.20816
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- Article
Adaptability and Stability of Cotton Genotypes Regarding Fiber Yield and Quality Traits.
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- Crop Science, 2019, v. 59, n. 2, p. 518, doi. 10.2135/cropsci2018.04.0250
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Genomic Prediction of Root Traits via Aerial Traits in Soybean Using Canonical Variables.
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- International Journal of Plant Biology, 2024, v. 15, n. 2, p. 242, doi. 10.3390/ijpb15020020
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- Article
Independent Component Analysis (ICA) based-clustering of temporal RNA-seq data.
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- PLoS ONE, 2017, v. 12, n. 7, p. 1, doi. 10.1371/journal.pone.0181195
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- Article
Genome-wide association study for morphological, physiological, and productive traits in Coffea arabica using structural equation models.
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- Tree Genetics & Genomes, 2023, v. 19, n. 3, p. 1, doi. 10.1007/s11295-023-01597-8
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- Article
Diversity and structure of Coffea canephora from old seminal crops in Espírito Santo, Brazil: genetic resources for coffee breeding.
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- Tree Genetics & Genomes, 2023, v. 19, n. 2, p. 1, doi. 10.1007/s11295-023-01594-x
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Optimization of Eucalyptus breeding through random regression models allowing for reaction norms in response to environmental gradients.
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- Tree Genetics & Genomes, 2020, v. 16, n. 2, p. 1, doi. 10.1007/s11295-020-01431-5
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Single and multi-trait genomic prediction for agronomic traits in Euterpe edulis.
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- PLoS ONE, 2023, v. 17, n. 4, p. 1, doi. 10.1371/journal.pone.0275407
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Influential Points in Adaptability and Stability Methods Based on Regression Models in Cotton Genotypes.
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- Agronomy, 2021, v. 11, n. 11, p. 2179, doi. 10.3390/agronomy11112179
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- Article
Multi-trait and multi-environment Bayesian analysis to predict the G x E interaction in flood-irrigated rice.
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- PLoS ONE, 2022, v. 17, n. 5, p. 1, doi. 10.1371/journal.pone.0259607
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- Article
Marker effects and heritability estimates using additive-dominance genomic architectures via artificial neural networks in Coffea canephora.
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- PLoS ONE, 2022, v. 17, n. 1, p. 1, doi. 10.1371/journal.pone.0262055
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Prediction of the importance of auxiliary traits using computational intelligence and machine learning: A simulation study.
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- PLoS ONE, 2021, v. 16, n. 11, p. 1, doi. 10.1371/journal.pone.0257213
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- Article
Germplasm characterization of half‐sib families from seminal matricies of Coffea canephora.
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- Agronomy Journal, 2023, v. 115, n. 1, p. 108, doi. 10.1002/agj2.21224
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Using visual scores for genomic prediction of complex traits in breeding programs.
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- Theoretical & Applied Genetics, 2024, v. 137, n. 1, p. 1, doi. 10.1007/s00122-023-04512-w
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Quantile regression in genomic selection for oligogenic traits in autogamous plants: A simulation study.
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- PLoS ONE, 2021, v. 16, n. 1, p. 1, doi. 10.1371/journal.pone.0243666
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The trade-off between density marker panels size and predictive ability of genomic prediction for agronomic traits in Coffea canephora.
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- Euphytica, 2024, v. 220, n. 4, p. 1, doi. 10.1007/s10681-024-03303-8
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Genotype-by-environment interaction of wheat using Bayesian factor analytic models and environmental covariates.
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- Euphytica, 2023, v. 219, n. 9, p. 1, doi. 10.1007/s10681-023-03223-z
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- Article
Factor analysis applied in genomic prediction considering different density marker panels in rice.
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- Euphytica, 2023, v. 219, n. 9, p. 1, doi. 10.1007/s10681-023-03214-0
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Multiple-trait model through Bayesian inference applied to flood-irrigated rice (Oryza sativa L).
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- Euphytica, 2022, v. 218, n. 9, p. 1, doi. 10.1007/s10681-022-03077-x
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Factor analysis applied in genomic selection studies in the breeding of Coffea canephora.
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- Euphytica, 2022, v. 218, n. 4, p. 1, doi. 10.1007/s10681-022-02998-x
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Updated knowledge in the estimation of genetics parameters: a Bayesian approach in white oat (Avena sativa L.).
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- Euphytica, 2022, v. 218, n. 4, p. 1, doi. 10.1007/s10681-022-02995-0
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Bayesian segmented regression model for adaptability and stability evaluation of cotton genotypes.
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- Euphytica, 2020, v. 216, n. 2, p. 1, doi. 10.1007/s10681-020-2564-5
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Genotypic variation and relationships among traits for root morphology in a panel of tropical maize inbred lines under contrasting nitrogen levels.
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- Euphytica, 2019, v. 215, n. 3, p. 1, doi. 10.1007/s10681-019-2373-x
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Microbiome of rehydrated corn and sorghum grain silages treated with microbial inoculants in different fermentation periods.
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- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-21461-4
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- Article
Cassava yield traits predicted by genomic selection methods.
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- PLoS ONE, 2019, v. 14, n. 11, p. 1, doi. 10.1371/journal.pone.0224920
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Genomic selection for productive traits in biparental cassava breeding populations.
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- PLoS ONE, 2019, v. 14, n. 7, p. 1, doi. 10.1371/journal.pone.0220245
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- Article
Combined index of genomic prediction methods applied to productivity traits in rice.
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- Ciência Rural, 2019, v. 49, n. 6, p. 1, doi. 10.1590/0103-8478cr20181008
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- Article
Modelagem hierárquica Bayesiana na avaliação de curvas de crescimento de suínos genotipados para o gene halotano.
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- Ciência Rural, 2014, v. 44, n. 10, p. 1853, doi. 10.1590/0103-8478cr20131278
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Quadrados mínimos parciais uni e multivariado aplicados na seleção genômica para características de carcaça em suínos.
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- Ciência Rural, 2013, v. 43, n. 9, p. 1642, doi. 10.1590/S0103-84782013000900017
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- Article
Classificação multivariada de curvas de progresso da requeima do tomateiro entre acessos do Banco de Germaplasma de Hortaliças da UFV.
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- Ciência Rural, 2012, v. 42, n. 3, p. 414, doi. 10.1590/S0103-84782012000300005
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- Article
Genomic studies of the additive and dominant genetic control on production traits of Euterpe edulis fruits.
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- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-36970-z
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- Article
Population size in QTL detection using quantile regression in genome-wide association studies.
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- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-36730-z
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- Article
Regional heritability mapping and genome-wide association identify loci for complex growth, wood and disease resistance traits in Eucalyptus.
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- New Phytologist, 2017, v. 213, n. 3, p. 1287, doi. 10.1111/nph.14266
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- Article
Enhancing genomic prediction with Stacking Ensemble Learning in Arabica Coffee.
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- Frontiers in Plant Science, 2024, p. 1, doi. 10.3389/fpls.2024.1373318
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- Article
Adaptability of cotton (Gossypium hirsutum) genotypes analysed using a Bayesian AMMI model.
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- Crop & Pasture Science, 2019, v. 70, n. 7, p. 615, doi. 10.1071/CP18318
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- Article
Row-col method associated with frequentist and Bayesian statistics in a passion fruit population.
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- Crop Breeding & Applied Biotechnology, 2023, v. 23, n. 3, p. 1, doi. 10.1590/1984-70332023v23n3a34
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- Article
Population structure correction for genomic selection through eigenvector covariates.
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- Crop Breeding & Applied Biotechnology, 2017, v. 17, n. 4, p. 350, doi. 10.1590/1984-70332017v17n4a53
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- Article
Genomic prediction of leaf rust resistance to Arabica coffee using machine learning algorithms.
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- Scientia Agricola, 2021, v. 78, n. 4, p. 1, doi. 10.1590/1678-992X-2020-0021
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- Article
Triple categorical regression for genomic selection: application to cassava breeding.
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- Scientia Agricola, 2019, v. 76, n. 5, p. 368, doi. 10.1590/1678-992X-2017-0369
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- Article
New insights into genomic selection through population-based non-parametric prediction methods.
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- Scientia Agricola, 2019, v. 76, n. 4, p. 290, doi. 10.1590/1678-992X-2017-0351
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- Article
Increasing cassava root yield: Additive-dominant genetic models for selection of parents and clones.
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- Frontiers in Plant Science, 2022, v. 13, p. 1, doi. 10.3389/fpls.2022.1071156
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- Article
Ridge, Lasso and Bayesian additivedominance genomic models.
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- BMC Genetics, 2015, v. 16, n. 1, p. 105, doi. 10.1186/s12863-015-0264-2
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Ridge, Lasso and Bayesian additive-dominance genomic models.
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- BMC Genetics, 2015, v. 16, n. 1, p. 1, doi. 10.1186/s12863-015-0264-2
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- Article
Genomic prediction of growth and wood quality traits in Eucalyptus benthamii using different genomic models and variable SNP genotyping density.
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- New Forests, 2023, v. 54, n. 2, p. 343, doi. 10.1007/s11056-022-09924-y
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- Article
Multi-trait multi-environment Bayesian model reveals G x E interaction for nitrogen use efficiency components in tropical maize.
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- PLoS ONE, 2018, v. 13, n. 6, p. 1, doi. 10.1371/journal.pone.0199492
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- Article
GenomicLand: Software for genome-wide association studies and genomic prediction.
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- Acta Scientiarum: Agronomy, 2019, v. 41, p. 1, doi. 10.4025/actasciagron.v41i1.45361
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- Article
Updating knowledge in estimating the genetics parameters: Multi-trait and Multi-Environment Bayesian analysis in rice.
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- Scientia Agricola, 2023, v. 80, p. 1, doi. 10.1590/1678-992X-2022-0056
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- Article
Evaluation of a new additive-dominance genomic model and implications for quantitative genetics and genomic selection.
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- Scientia Agricola, 2022, v. 79, n. 6, p. 1, doi. 10.1590/1678-992X-2021-0074
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- Article
Determination of optimal number of independent components in yield traits in rice.
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- Scientia Agricola, 2022, v. 79, n. 6, p. 1, doi. 10.1590/1678-992X-2020-0397
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- Article