| 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 | 1446 | 2017 |
| Genome-wide regression and prediction with the BGLR statistical package P Pérez, G de Los Campos Genetics 198 (2), 483-495, 2014 | 1342 | 2014 |
| Whole-genome regression and prediction methods applied to plant and animal breeding G de Los Campos, JM Hickey, R Pong-Wong, HD Daetwyler, MPL Calus Genetics 193 (2), 327-345, 2013 | 995 | 2013 |
| 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 | 897 | 2010 |
| Predicting quantitative traits with regression models for dense molecular markers and pedigree G De Los Campos, H Naya, D Gianola, J Crossa, A Legarra, E Manfredi, ... Genetics 182 (1), 375-385, 2009 | 749 | 2009 |
| Genomic prediction of breeding values when modeling genotype× environment interaction using pedigree and dense molecular markers J Burgueño, G de los Campos, K Weigel, J Crossa Crop Science 52 (2), 707-719, 2012 | 608 | 2012 |
| Additive genetic variability and the Bayesian alphabet D Gianola, G de Los Campos, WG Hill, E Manfredi, R Fernando Genetics 183 (1), 347-363, 2009 | 599 | 2009 |
| 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 | 591 | 2014 |
| Genomic prediction in animals and plants: simulation of data, validation, reporting, and benchmarking HD Daetwyler, MPL Calus, R Pong-Wong, G de Los Campos, JM Hickey Genetics 193 (2), 347-365, 2013 | 477 | 2013 |
| Prediction of complex human traits using the genomic best linear unbiased predictor G de Los Campos, AI Vazquez, R Fernando, YC Klimentidis, D Sorensen PLoS genetics 9 (7), e1003608, 2013 | 380 | 2013 |
| Semi-parametric genomic-enabled prediction of genetic values using reproducing kernel Hilbert spaces methods G de Los Campos, D Gianola, GJM Rosa, KA Weigel, J Crossa Genetics research 92 (4), 295-308, 2010 | 369 | 2010 |
| Increased prediction accuracy in wheat breeding trials using a marker× environment interaction genomic selection model M Lopez-Cruz, J Crossa, D Bonnett, S Dreisigacker, J Poland, JL Jannink, ... G3: Genes, Genomes, Genetics 5 (4), 569-582, 2015 | 328 | 2015 |
| Genomic Heritability: What Is It? G de los Campos, D Sorensen, D Gianola PLoS Genetics, 2015 | 319 | 2015 |
| Beyond missing heritability: prediction of complex traits R Makowsky, NM Pajewski, YC Klimentidis, AI Vazquez, CW Duarte, ... PLoS genetics 7 (4), e1002051, 2011 | 310 | 2011 |
| 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 |
| Predicting genetic predisposition in humans: the promise of whole-genome markers G De Los Campos, D Gianola, DB Allison Nature Reviews Genetics 11 (12), 880-886, 2010 | 286 | 2010 |
| 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 |
| 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 |
| Can deep learning improve genomic prediction of complex human traits? P Bellot, G de Los Campos, M Pérez-Enciso Genetics 210 (3), 809-819, 2018 | 211 | 2018 |
| Unraveling additive from nonadditive effects using genomic relationship matrices PR Muñoz, MFR Resende Jr, SA Gezan, MDV Resende, ... Genetics 198 (4), 1759-1768, 2014 | 204 | 2014 |
