| Genome-wide regression and prediction with the BGLR statistical package P Pérez, G de Los Campos Genetics 198 (2), 483-495, 2014 | 1498* | 2014 |
| 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 | 1448 | 2017 |
| Prediction of genetic values of quantitative traits in plant breeding using pedigree and molecular markers J Crossa, G Campos, P Pérez, D Gianola, J Burgueno, JL Araus, ... Genetics 186 (2), 713-724, 2010 | 896 | 2010 |
| PlnTFDB: updated content and new features of the plant transcription factor database P Pérez-Rodríguez, DM Riano-Pachon, LGG Corrêa, SA Rensing, ... Nucleic acids research 38 (suppl_1), D822-D827, 2010 | 738 | 2010 |
| A reaction norm model for genomic selection using high-dimensional genomic and environmental data D Jarquín, J Crossa, X Lacaze, P Du Cheyron, J Daucourt, J Lorgeou, ... Theoretical and applied genetics 127, 595-607, 2014 | 592 | 2014 |
| Genomic prediction in CIMMYT maize and wheat breeding programs J Crossa, P Perez, J Hickey, J Burgueno, L Ornella, J Cerón-Rojas, ... Heredity 112 (1), 48-60, 2014 | 474 | 2014 |
| Genomic prediction in maize breeding populations with genotyping-by-sequencing J Crossa, Y Beyene, S Kassa, P Pérez, JM Hickey, C Chen, ... G3: Genes, genomes, genetics 3 (11), 1903-1926, 2013 | 307 | 2013 |
| Genomic‐enabled prediction based on molecular markers and pedigree using the Bayesian linear regression package in R P Pérez, G de Los Campos, J Crossa, D Gianola The plant genome 3 (2), 2010 | 272 | 2010 |
| META-R: A software to analyze data from multi-environment plant breeding trials G Alvarado, FM Rodríguez, A Pacheco, J Burgueño, J Crossa, M Vargas, ... The Crop Journal 8 (5), 745-756, 2020 | 268 | 2020 |
| Comparison between linear and non-parametric regression models for genome-enabled prediction in wheat P Pérez-Rodríguez, D Gianola, JM González-Camacho, J Crossa, ... G3: Genes| Genomes| Genetics 2 (12), 1595-1605, 2012 | 246 | 2012 |
| A growth phenotyping pipeline for Arabidopsis thaliana integrating image analysis and rosette area modeling for robust quantification of genotype effects S Arvidsson, P Pérez‐Rodríguez, B Mueller‐Roeber New Phytologist 191 (3), 895-907, 2011 | 245 | 2011 |
| Improving grain yield, stress resilience and quality of bread wheat using large-scale genomics P Juliana, J Poland, J Huerta-Espino, S Shrestha, J Crossa, ... Nature genetics 51 (10), 1530-1539, 2019 | 231 | 2019 |
| Genome-enabled prediction of genetic values using radial basis function neural networks JM González-Camacho, G de Los Campos, P Pérez, D Gianola, ... Theoretical and Applied Genetics 125, 759-771, 2012 | 230 | 2012 |
| A review of deep learning applications for genomic selection OA Montesinos-López, A Montesinos-López, P Pérez-Rodríguez, ... BMC genomics 22, 1-23, 2021 | 226 | 2021 |
| Genomic prediction in biparental tropical maize populations in water-stressed and well-watered environments using low-density and GBS SNPs X Zhang, P Pérez-Rodríguez, K Semagn, Y Beyene, R Babu, ... Heredity 114 (3), 291-299, 2015 | 225 | 2015 |
| Genomic prediction of gene bank wheat landraces J Crossa, D Jarquín, J Franco, P Pérez-Rodríguez, J Burgueño, ... G3: Genes, Genomes, Genetics 6 (7), 1819-1834, 2016 | 182 | 2016 |
| Genomic selection and prediction in plant breeding J Crossa, P Pérez, G de los Campos, G Mahuku, S Dreisigacker, ... Journal of Crop Improvement 25 (3), 239-261, 2011 | 170 | 2011 |
| A Pedigree-Based Reaction Norm Model for Prediction of Cotton Yield in Multienvironment Trials P Pérez-Rodríguez, J Crossa, K Bondalapati, G De Meyer, P Fabiano, ... Crop Science 55 (3), 1143-1151, 2015 | 163* | 2015 |
| Mathematical modeling and comparison of protein size distribution in different plant, animal, fungal and microbial species reveals a negative correlation between protein size … A Tiessen, P Pérez-Rodríguez, LJ Delaye-Arredondo BMC research notes 5, 1-23, 2012 | 161 | 2012 |
| 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 | 154 | 2016 |
Jose CrossaBiometricianVerified email at cgiar.org
