| Genomic selection in plant breeding: methods, models, and perspectives J Crossa, P Pérez-Rodríguez, J Cuevas, O Montesinos-López, D Jarquín, ... Trends in plant science 22 (11), 961-975, 2017 | 1201 | 2017 |
| Bayesian Genomic Prediction with Genotype × Environment Interaction Kernel Models J Cuevas, J Crossa, OA Montesinos-López, J Burgueño, ... G3: Genes, Genomes, Genetics 7 (1), 41-53, 2017 | 142 | 2017 |
| Genomic prediction of genotype× environment interaction kernel regression models J Cuevas, J Crossa, V Soberanis, S Pérez‐Elizalde, P Pérez‐Rodríguez, ... The plant genome 9 (3), plantgenome2016.03.0024, 2016 | 138 | 2016 |
| Genomic-enabled prediction in maize using kernel models with genotype× environment interaction M Bandeira e Sousa, J Cuevas, EG de Oliveira Couto, P Pérez-Rodríguez, ... G3: Genes, Genomes, Genetics 7 (6), 1995-2014, 2017 | 82 | 2017 |
| Deep kernel for genomic and near infrared predictions in multi-environment breeding trials J Cuevas, O Montesinos-López, P Juliana, C Guzmán, ... G3: Genes, Genomes, Genetics 9 (9), 2913-2924, 2019 | 70 | 2019 |
| Deep kernel and deep learning for genome-based prediction of single traits in multienvironment breeding trials J Crossa, JWR Martini, D Gianola, P Pérez-Rodríguez, D Jarquin, ... Frontiers in genetics 10, 1168, 2019 | 68 | 2019 |
| Genomic Bayesian functional regression models with interactions for predicting wheat grain yield using hyper-spectral image data A Montesinos-López, OA Montesinos-López, J Cuevas, WA Mata-López, ... Plant Methods 13, 1-29, 2017 | 56 | 2017 |
| BGGE: a new package for genomic-enabled prediction incorporating genotype× environment interaction models I Granato, J Cuevas, F Luna-Vázquez, J Crossa, O Montesinos-López, ... G3: Genes, Genomes, Genetics 8 (9), 3039-3047, 2018 | 51 | 2018 |
| Selection of the bandwidth parameter in a Bayesian kernel regression model for genomic-enabled prediction S Pérez-Elizalde, J Cuevas, P Pérez-Rodríguez, J Crossa Journal of agricultural, biological, and environmental statistics 20 (4 …, 2015 | 49 | 2015 |
| Genomic-enabled prediction kernel models with random intercepts for multi-environment trials J Cuevas, I Granato, R Fritsche-Neto, OA Montesinos-Lopez, J Burgueño, ... G3: Genes, Genomes, Genetics 8 (4), 1347-1365, 2018 | 43 | 2018 |
| A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data OA Montesinos-López, A Montesinos-López, J Crossa, J Cuevas, ... G3: Genes, Genomes, Genetics 9 (10), 3381-3393, 2019 | 30 | 2019 |
| Approximate genome-based kernel models for large data sets including main effects and interactions J Cuevas, OA Montesinos-López, JWR Martini, P Pérez-Rodríguez, ... Frontiers in Genetics 11, 567757, 2020 | 18 | 2020 |
| Genomic prediction of genotype· environment interaction kernel regression models. Plant Genome 9: 1–20 J Cuevas, J Crossa, V Soberanis, S Pérez-Elizalde, P Pérez-Rodríguez, ... | 17 | 2016 |
| Genome-based genotype× environment prediction enhances potato (Solanum tuberosum L.) improvement using pseudo-diploid and polysomic tetraploid modeling R Ortiz, J Crossa, F Reslow, P Perez-Rodriguez, J Cuevas Frontiers in Plant Science 13, 785196, 2022 | 15 | 2022 |
| 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 |
| Bayesian genomic-enabled prediction as an inverse problem J Cuevas, S Pérez-Elizalde, V Soberanis, P Pérez-Rodríguez, D Gianola, ... G3: Genes, Genomes, Genetics 4 (10), 1991-2001, 2014 | 11 | 2014 |
| On Hadamard and Kronecker products in covariance structures for genotype× environment interaction JWR Martini, J Crossa, FH Toledo, J Cuevas The Plant Genome 13 (3), e20033, 2020 | 10 | 2020 |
| Heritable variation, genetic and phenotypic correlations for tuber traits and host plant resistance to late blight for potato breeding in Scandinavian testing sites R Ortiz, F Reslow, J Crossa, J Cuevas Agriculture 11 (12), 1287, 2021 | 9 | 2021 |
| Genetic gains in potato breeding as measured by field testing of cultivars released during the last 200 years in the Nordic Region of Europe R Ortiz, F Reslow, J Cuevas, J Crossa The Journal of Agricultural Science 160 (5), 310-316, 2022 | 8 | 2022 |
| Modeling genotype × environment interaction for single and multitrait genomic prediction in potato (Solanum tuberosum L.) J Cuevas, F Reslow, J Crossa, R Ortiz G3 13 (2), jkac322, 2023 | 6 | 2023 |
Jose CrossaBiometricianVerified email at cgiar.org
