| Genomic Selection and Association Mapping in Rice (Oryza sativa): Effect of Trait Genetic Architecture, Training Population Composition, Marker Number and … J Spindel, H Begum, D Akdemir, P Virk, B Collard, E Redona, G Atlin, ... PLoS genetics 11 (2), e1004982, 2015 | 612 | 2015 |
| Integrating environmental covariates and crop modeling into the genomic selection framework to predict genotype by environment interactions N Heslot, D Akdemir, ME Sorrells, JL Jannink Theoretical and applied genetics 127, 463-480, 2014 | 421 | 2014 |
| Training set optimization under population structure in genomic selection J Isidro, JL Jannink, D Akdemir, J Poland, N Heslot, ME Sorrells Theoretical and applied genetics 128, 145-158, 2015 | 393 | 2015 |
| Genome-wide prediction models that incorporate de novo GWAS are a powerful new tool for tropical rice improvement JE Spindel, H Begum, D Akdemir, B Collard, E Redoña, JL Jannink, ... Heredity 116 (4), 395-408, 2016 | 348 | 2016 |
| Squamous cell and adenosquamous carcinomas of the gallbladder: clinicopathological analysis of 34 cases identified in 606 carcinomas JC Roa, O Tapia, A Cakir, O Basturk, N Dursun, D Akdemir, B Saka, ... Modern Pathology 24 (8), 1069-1078, 2011 | 211 | 2011 |
| Optimization of genomic selection training populations with a genetic algorithm D Akdemir, JI Sanchez, JL Jannink Genetics Selection Evolution 47, 1-10, 2015 | 194 | 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 |
| Efficient breeding by genomic mating D Akdemir, JI Sánchez Frontiers in genetics 7, 210, 2016 | 110 | 2016 |
| Multi-objective optimized genomic breeding strategies for sustainable food improvement D Akdemir, W Beavis, R Fritsche-Neto, AK Singh, J Isidro-Sánchez Heredity 122 (5), 672-683, 2019 | 107 | 2019 |
| Design of training populations for selective phenotyping in genomic prediction D Akdemir, J Isidro-Sánchez Scientific reports 9 (1), 1446, 2019 | 99 | 2019 |
| EMMREML: Fitting mixed models with known covariance structures D Akdemir, UG Okeke R package version 3 (1), 2015 | 84 | 2015 |
| Accuracy of genomic selection to predict maize single-crosses obtained through different mating designs R Fristche-Neto, D Akdemir, JL Jannink Theoretical and Applied Genetics 131, 1153-1162, 2018 | 70 | 2018 |
| Breeding value of primary synthetic wheat genotypes for grain yield J Jafarzadeh, D Bonnett, JL Jannink, D Akdemir, S Dreisigacker, ... PloS one 11 (9), e0162860, 2016 | 70 | 2016 |
| Accuracies of univariate and multivariate genomic prediction models in African cassava UG Okeke, D Akdemir, I Rabbi, P Kulakow, JL Jannink Genetics Selection Evolution 49, 1-10, 2017 | 66 | 2017 |
| Array variate random variables with multiway kro-necker delta covariance matrix structure D Akdemir, AK Gupta Journal of algebraic statistics 2 (1), 2011 | 52 | 2011 |
| Locally epistatic genomic relationship matrices for genomic association and prediction D Akdemir, JL Jannink Genetics 199 (3), 857-871, 2015 | 46 | 2015 |
| Genome wide association study of 5 agronomic traits in olive (Olea europaea L.) HB Kaya, D Akdemir, R Lozano, O Cetin, H Sozer Kaya, M Sahin, ... Scientific reports 9 (1), 18764, 2019 | 38 | 2019 |
| Genetic correlation, genome-wide association and genomic prediction of portable NIRS predicted carotenoids in cassava roots UN Ikeogu, D Akdemir, MD Wolfe, UG Okeke, A Chinedozi, JL Jannink, ... Frontiers in Plant Science 10, 1570, 2019 | 35 | 2019 |
| Trainsel: an r package for selection of training populations D Akdemir, S Rio, J Isidro y Sánchez Frontiers in genetics 12, 655287, 2021 | 30 | 2021 |
| Genomic prediction using phenotypes from pedigreed lines with no marker data B Ashraf, V Edriss, D Akdemir, E Autrique, D Bonnett, J Crossa, L Janss, ... Crop Science 56 (3), 957-964, 2016 | 29 | 2016 |
Jean-Luc JanninkPlant Breeding and Genetics, USDA-ARSCorreu electrònic verificat a ars.usda.gov