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Deniz Akdemir, Ph.D. - Publications

Affiliations: 
2009 Mathematics/Probability and Statistics Bowling Green State University, Bowling Green, OH, United States 
Area:
Statistics
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27 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Zhao F, Zhang P, Wang X, Akdemir D, Garrick D, He J, Wang L. Genetic gain and inbreeding from simulation of different genomic mating schemes for pig improvement. Journal of Animal Science and Biotechnology. 14: 87. PMID 37309010 DOI: 10.1186/s40104-023-00872-x  0.448
2023 Fernández-González J, Akdemir D, Isidro Y Sánchez J. A comparison of methods for training population optimization in genomic selection. Tag. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik. 136: 30. PMID 36892603 DOI: 10.1007/s00122-023-04265-6  0.305
2022 Shahinnia F, Geyer M, Schürmann F, Rudolphi S, Holzapfel J, Kempf H, Stadlmeier M, Löschenberger F, Morales L, Buerstmayr H, Sánchez JIY, Akdemir D, Mohler V, Lillemo M, Hartl L. Genome-wide association study and genomic prediction of resistance to stripe rust in current Central and Northern European winter wheat germplasm. Tag. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik. PMID 36018343 DOI: 10.1007/s00122-022-04202-z  0.373
2021 Rio S, Akdemir D, Carvalho T, Sánchez JIY. Assessment of genomic prediction reliability and optimization of experimental designs in multi-environment trials. Tag. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik. PMID 34807267 DOI: 10.1007/s00122-021-03972-2  0.42
2021 Isidro Y Sánchez J, Akdemir D. Training Set Optimization for Sparse Phenotyping in Genomic Selection: A Conceptual Overview. Frontiers in Plant Science. 12: 715910. PMID 34589099 DOI: 10.3389/fpls.2021.715910  0.363
2020 Akdemir D, Knox R, Isidro Y Sánchez J. Combining Partially Overlapping Multi-Omics Data in Databases Using Relationship Matrices. Frontiers in Plant Science. 11: 947. PMID 32765543 DOI: 10.3389/fpls.2020.00947  0.325
2020 Morais PPP, Akdemir D, Andrade LRBd, Jannink J, Fritsche‐Neto R, Borém A, Alves FC, Lyra DH, Granato ÍSC. Using public databases for genomic prediction of tropical maize lines Plant Breeding. 139: 697-707. DOI: 10.1111/Pbr.12827  0.43
2019 Ikeogu UN, Akdemir D, Wolfe MD, Okeke UG, Chinedozi A, Jannink JL, Egesi CN. Genetic Correlation, Genome-Wide Association and Genomic Prediction of Portable NIRS Predicted Carotenoids in Cassava Roots. Frontiers in Plant Science. 10: 1570. PMID 31867030 DOI: 10.3389/Fpls.2019.01570  0.521
2019 Kaya HB, Akdemir D, Lozano R, Cetin O, Sozer Kaya H, Sahin M, Smith JL, Tanyolac B, Jannink JL. Genome wide association study of 5 agronomic traits in olive (Olea europaea L.). Scientific Reports. 9: 18764. PMID 31822760 DOI: 10.1038/S41598-019-55338-W  0.441
2019 Akdemir D, Isidro-Sánchez J. Design of training populations for selective phenotyping in genomic prediction. Scientific Reports. 9: 1446. PMID 30723226 DOI: 10.1038/S41598-018-38081-6  0.492
2018 Akdemir D, Beavis W, Fritsche-Neto R, Singh AK, Isidro-Sánchez J. Multi-objective optimized genomic breeding strategies for sustainable food improvement. Heredity. PMID 30262841 DOI: 10.1038/S41437-018-0147-1  0.421
2018 Fritsche-Neto R, Akdemir D, Jannink JL. Correction to: Accuracy of genomic selection to predict maize single-crosses obtained through different mating designs. Tag. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik. PMID 29796770 DOI: 10.1007/S00122-018-3118-2  0.419
2018 Okeke UG, Akdemir D, Rabbi I, Kulakow P, Jannink JL. Regional Heritability Mapping Provides Insights into Dry Matter Content in African White and Yellow Cassava Populations. The Plant Genome. 11. PMID 29505634 DOI: 10.3835/Plantgenome2017.06.0050  0.436
2018 Fristche-Neto R, Akdemir D, Jannink JL. Accuracy of genomic selection to predict maize single-crosses obtained through different mating designs. Tag. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik. PMID 29445844 DOI: 10.1007/S00122-018-3068-8  0.397
2017 Okeke UG, Akdemir D, Rabbi I, Kulakow P, Jannink JL. Accuracies of univariate and multivariate genomic prediction models in African cassava. Genetics, Selection, Evolution : Gse. 49: 88. PMID 29202685 DOI: 10.1186/S12711-017-0361-Y  0.5
2017 Akdemir D, Jannink JL, Isidro-Sánchez J. Locally epistatic models for genome-wide prediction and association by importance sampling. Genetics, Selection, Evolution : Gse. 49: 74. PMID 29041917 DOI: 10.1186/S12711-017-0348-8  0.485
2017 Isidro-Sánchez J, Akdemir D, Montilla-Bascón G. Genome-Wide Association Analysis Using R. Methods in Molecular Biology (Clifton, N.J.). 1536: 189-207. PMID 28132152 DOI: 10.1007/978-1-4939-6682-0_14  0.301
2016 Akdemir D, Sánchez JI. Efficient Breeding by Genomic Mating. Frontiers in Genetics. 7: 210. PMID 27965707 DOI: 10.3389/Fgene.2016.00210  0.499
2016 Jafarzadeh J, Bonnett D, Jannink JL, Akdemir D, Dreisigacker S, Sorrells ME. Breeding Value of Primary Synthetic Wheat Genotypes for Grain Yield. Plos One. 11: e0162860. PMID 27656893 DOI: 10.1371/Journal.Pone.0162860  0.392
2016 Crossa J, Jarquin D, Franco J, Pérez-Rodríguez P, Burgueño J, Saint-Pierre C, Vikram P, Sansaloni C, Petroli C, Akdemir D, Sneller C, Reynolds M, Tattaris M, Payne T, Guzman C, et al. Genomic Prediction of Gene Bank Wheat Landraces. G3 (Bethesda, Md.). PMID 27172218 DOI: 10.1534/G3.116.029637  0.455
2016 Ashraf B, Edriss V, Akdemir D, Autrique E, Bonnett D, Crossa J, Janss L, Singh R, Jannink JL. Genomic prediction using phenotypes from pedigreed lines with no marker data Crop Science. 56: 957-964. DOI: 10.2135/Cropsci2015.02.0111  0.462
2015 Spindel J, Begum H, Akdemir D, Virk P, Collard B, Redoña E, Atlin G, Jannink JL, McCouch SR. Correction: Genomic Selection and Association Mapping in Rice (Oryza sativa): Effect of Trait Genetic Architecture, Training Population Composition, Marker Number and Statistical Model on Accuracy of Rice Genomic Selection in Elite, Tropical Rice Breeding Lines. Plos Genetics. 11: e1005350. PMID 26125618 DOI: 10.1371/journal.pgen.1005350  0.477
2015 Akdemir D, Sanchez JI, Jannink JL. Optimization of genomic selection training populations with a genetic algorithm. Genetics, Selection, Evolution : Gse. 47: 38. PMID 25943105 DOI: 10.1186/S12711-015-0116-6  0.458
2015 Spindel J, Begum H, Akdemir D, Virk P, Collard B, Redoña E, Atlin G, Jannink JL, McCouch SR. Genomic selection and association mapping in rice (Oryza sativa): effect of trait genetic architecture, training population composition, marker number and statistical model on accuracy of rice genomic selection in elite, tropical rice breeding lines. Plos Genetics. 11: e1004982. PMID 25689273 DOI: 10.1371/Journal.Pgen.1004982  0.567
2015 Akdemir D, Jannink JL. Locally epistatic genomic relationship matrices for genomic association and prediction. Genetics. 199: 857-71. PMID 25614606 DOI: 10.1534/Genetics.114.173658  0.482
2015 Isidro J, Jannink JL, Akdemir D, Poland J, Heslot N, Sorrells ME. Training set optimization under population structure in genomic selection. Tag. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik. 128: 145-58. PMID 25367380 DOI: 10.1007/S00122-014-2418-4  0.355
2014 Heslot N, Akdemir D, Sorrells ME, Jannink JL. Integrating environmental covariates and crop modeling into the genomic selection framework to predict genotype by environment interactions. Tag. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik. 127: 463-80. PMID 24264761 DOI: 10.1007/S00122-013-2231-5  0.468
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