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Jaime Cuevas

Observed names: Cuevas Jaime, Cuevas, Jaime
ORCID: 0000-0002-0685-2867
Observed ORCID: 0000-0002-0685-2867
OpenAlex ID: A5037634645
Genomic Selection in Plant Breeding: Methods, Models, and Perspectives
2017 · José Crossa, Paulino Pérez-Rodríguez, et al. · Trends in Plant Science · 2,015
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Genomic Prediction of Genotype × Environment Interaction Kernel Regression Models
2016 · Jaime Cuevas, José Crossa, et al. · The Plant Genome · 187
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Bayesian Genomic Prediction with Genotype × Environment Interaction Kernel Models
2017 · Jaime Cuevas, José Crossa, et al. · G3 Genes Genomes Genetics · 172
Expanding genomic prediction in plant breeding: harnessing big data, machine learning, and advanced software
2025 · José Crossa, Johannes W.R. Martini, et al. · Trends in Plant Science · 117
Machine learning algorithms translate big data into predictive breeding accuracy
2024 · José Crossa, Osval A. Montesinos-Lopez, et al. · Trends in Plant Science · 117
Genomic-Enabled Prediction in Maize Using Kernel Models with Genotype × Environment Interaction
2017 · Massaine Bandeira e Sousa, Jaime Cuevas, et al. · G3 Genes Genomes Genetics · 112
Deep Kernel for Genomic and Near Infrared Predictions in Multi-environment Breeding Trials
2019 · Jaime Cuevas, Osval Montesinos-López, et al. · G3 Genes Genomes Genetics · 104
Genome and Environment Based Prediction Models and Methods of Complex Traits Incorporating Genotype × Environment Interaction
2022 · José Crossa, Osval Antonio Montesinos-López, et al. · Methods in molecular biology · 90
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Genomic Bayesian functional regression models with interactions for predicting wheat grain yield using hyper-spectral image data
2017 · Abelardo Montesinos-López, Osval A. Montesinos-López, et al. · Plant Methods · 88
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Deep Kernel and Deep Learning for Genome-Based Prediction of Single Traits in Multienvironment Breeding Trials
2019 · José Crossa, Johannes W.R. Martini, et al. · Frontiers in Genetics · 85
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BGGE: A New Package for Genomic-Enabled Prediction Incorporating Genotype × Environment Interaction Models
2018 · Italo Granato, Jaime Cuevas, et al. · G3 Genes Genomes Genetics · 66
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Selection of the Bandwidth Parameter in a Bayesian Kernel Regression Model for Genomic-Enabled Prediction
2015 · Sergio Pérez-Elizalde, Jaime Cuevas, et al. · Journal of Agricultural Biological and Environmental Statistics · 51
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Genomic-Enabled Prediction Kernel Models with Random Intercepts for Multi-environment Trials
2018 · Jaime Cuevas, Italo Granato, et al. · G3 Genes Genomes Genetics · 44
A Bayesian Genomic Multi-output Regressor Stacking Model for Predicting Multi-trait Multi-environment Plant Breeding Data
2019 · Osval A Montesinos-López, Abelardo Montesinos-López, et al. · G3 Genes Genomes Genetics · 35
Prediction of near‐term climate change impacts on UK wheat quality and the potential for adaptation through plant breeding
2022 · Nick S. Fradgley, James Bacon, et al. · Global Change Biology · 33
Genome-Based Genotype × Environment Prediction Enhances Potato (Solanum tuberosum L.) Improvement Using Pseudo-Diploid and Polysomic Tetraploid Modeling
2022 · Rodomiro Ortiz, José Crossa, et al. · Frontiers in Plant Science · 25
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On Hadamard and Kronecker products in covariance structures for genotype × environment interaction
2020 · Johannes W. R. Martini, Jose Crossa, et al. · The Plant Genome · 24
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Approximate Genome-Based Kernel Models for Large Data Sets Including Main Effects and Interactions
2020 · Jaime Cuevas, Osval A. Montesinos-López, et al. · Frontiers in Genetics · 20
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Modeling genotype × environment interaction for single and multitrait genomic prediction in potato (Solanum tuberosum L.)
2022 · Jaime Cuevas, Fredrik Reslow, et al. · G3 Genes Genomes Genetics · 19
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Genetic gains in potato breeding as measured by field testing of cultivars released during the last 200 years in the Nordic Region of Europe
2022 · Rodomiro Ortiz, Fredrik Reslow, et al. · The Journal of Agricultural Science · 16
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Comparison of single-trait and multi-trait genomic predictions on agronomic and disease resistance traits in spring wheat
2022 · Kassa Semagn, José Crossa, et al. · Theoretical and Applied Genetics · 16
Near-Infrared Spectroscopy to Predict Provitamin A Carotenoids Content in Maize
2022 · Aldo Rosales, José Crossa, et al. · Agronomy · 12
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Heritable Variation, Genetic and Phenotypic Correlations for Tuber Traits and Host Plant Resistance to Late Blight for Potato Breeding in Scandinavian Testing Sites
2021 · Rodomiro Ortiz, Fredrik Reslow, et al. · Agriculture · 12
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Bayesian Genomic-Enabled Prediction as an Inverse Problem
2014 · Jaime Cuevas, Sergio Pérez-Elizalde, et al. · G3 Genes Genomes Genetics · 11
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Multi-trait and multi-environment genomic prediction enhances yield components improvement in durum wheat
2026 · Damiano Puglisi, José Crossa, et al. · Frontiers in Plant Science · 8
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Works count: 40
Citation count: 3,505
H-index: 19
I10-index: 24
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