Jean-Luc Jannink - Publications

Affiliations: 
Agronomy Iowa State University, Ames, IA, United States 
Area:
Agronomy Agriculture, Biostatistics Biology, Genetics

150 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
2024 Nandudu L, Strock C, Ogbonna A, Kawuki R, Jannink JL. Genetic analysis of cassava brown streak disease root necrosis using image analysis and genome-wide association studies. Frontiers in Plant Science. 15: 1360729. PMID 38562560 DOI: 10.3389/fpls.2024.1360729  0.343
2024 Nandudu L, Sheat S, Winter S, Ogbonna A, Kawuki R, Jannink JL. Genetic complexity of cassava brown streak disease: insights from qPCR-based viral titer analysis and genome-wide association studies. Frontiers in Plant Science. 15: 1365132. PMID 38545389 DOI: 10.3389/fpls.2024.1365132  0.325
2023 Brzozowski LJ, Campbell MT, Hu H, Yao L, Caffe M, Gutiérrez LA, Smith KP, Sorrells ME, Gore MA, Jannink JL. Genomic prediction of seed nutritional traits in biparental families of oat (Avena sativa). The Plant Genome. e20370. PMID 37539632 DOI: 10.1002/tpg2.20370  0.304
2022 de Andrade LRB, Sousa MBE, Wolfe M, Jannink JL, de Resende MDV, Azevedo CF, de Oliveira EJ. Increasing cassava root yield: Additive-dominant genetic models for selection of parents and clones. Frontiers in Plant Science. 13: 1071156. PMID 36589120 DOI: 10.3389/fpls.2022.1071156  0.406
2022 Taagen E, Jordan K, Akhunov E, Sorrells ME, Jannink JL. If It Ain't Broke, Don't Fix It: Evaluating the Effect of Increased Recombination on Response to Selection for Wheat Breeding. G3 (Bethesda, Md.). PMID 36331396 DOI: 10.1093/g3journal/jkac291  0.394
2022 Bakare MA, Kayondo SI, Aghogho CI, Wolfe MD, Parkes EY, Kulakow P, Egesi C, Rabbi IY, Jannink JL. Exploring genotype by environment interaction on cassava yield and yield related traits using classical statistical methods. Plos One. 17: e0268189. PMID 35849556 DOI: 10.1371/journal.pone.0268189  0.318
2022 Yao E, Blake VC, Cooper L, Wight CP, Michel S, Cagirici HB, Lazo GR, Birkett CL, Waring DJ, Jannink JL, Holmes I, Waters AJ, Eickholt DP, Sen TZ. GrainGenes: a data-rich repository for small grains genetics and genomics. Database : the Journal of Biological Databases and Curation. 2022. PMID 35616118 DOI: 10.1093/database/baac034  0.352
2022 Huang M, Robbins KR, Li Y, Umanzor S, Marty-Rivera M, Bailey D, Yarish C, Lindell S, Jannink JL. Simulation of sugar kelp (Saccharina latissima) breeding guided by practices to accelerate genetic gains. G3 (Bethesda, Md.). PMID 35088860 DOI: 10.1093/g3journal/jkac003  0.321
2021 Wolfe MD, Chan AW, Kulakow P, Rabbi I, Jannink JL. Corrigendum to: Genomic mating in outbred species: predicting cross usefulness with additive and total genetic covariance matrices. Genetics. PMID 35100367 DOI: 10.1093/genetics/iyab225  0.318
2021 Brzozowski LJ, Hu H, Campbell MT, Broeckling CD, Caffe M, Gutiérrez L, Smith KP, Sorrells ME, Gore MA, Jannink JL. Selection for seed size has uneven effects on specialized metabolite abundance in oat (Avena sativa L). G3 (Bethesda, Md.). PMID 34893823 DOI: 10.1093/g3journal/jkab419  0.317
2021 Jordan KW, Bradbury PJ, Miller ZR, Nyine M, He F, Fraser M, Anderson J, Mason E, Katz A, Pearce S, Carter AH, Prather S, Pumphrey M, Chen J, Cook J, ... ... Jannink JL, et al. Development of the Wheat Practical Haplotype Graph Database as a Resource for Genotyping Data Storage and Genotype Imputation. G3 (Bethesda, Md.). PMID 34751373 DOI: 10.1093/g3journal/jkab390  0.375
2021 Wolfe MD, Chan AW, Kulakow P, Rabbi I, Jannink JL. Genomic mating in outbred species: predicting cross usefulness with additive and total genetic covariance matrices. Genetics. 219. PMID 34740244 DOI: 10.1093/genetics/iyab122  0.328
2021 Phumichai C, Aiemnaka P, Nathaisong P, Hunsawattanakul S, Fungfoo P, Rojanaridpiched C, Vichukit V, Kongsil P, Kittipadakul P, Wannarat W, Chunwongse J, Tongyoo P, Kijkhunasatian C, Chotineeranat S, Piyachomkwan K, ... ... Jannink JL, et al. Genome-wide association mapping and genomic prediction of yield-related traits and starch pasting properties in cassava. Tag. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik. PMID 34661695 DOI: 10.1007/s00122-021-03956-2  0.434
2021 Hu H, Campbell MT, Yeats TH, Zheng X, Runcie DE, Covarrubias-Pazaran G, Broeckling C, Yao L, Caffe-Treml M, Gutiérrez LA, Smith KP, Tanaka J, Hoekenga OA, Sorrells ME, Gore MA, ... Jannink JL, et al. Multi-omics prediction of oat agronomic and seed nutritional traits across environments and in distantly related populations. Tag. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik. PMID 34643760 DOI: 10.1007/s00122-021-03946-4  0.388
2021 Campbell MT, Hu H, Yeats TH, Brzozowski LJ, Caffe-Treml M, Gutiérrez L, Smith KP, Sorrells ME, Gore MA, Jannink JL. Improving Genomic Prediction for Seed Quality Traits in Oat (Avena sativa L.) Using Trait-Specific Relationship Matrices. Frontiers in Genetics. 12: 643733. PMID 33868378 DOI: 10.3389/fgene.2021.643733  0.394
2021 Campbell MT, Hu H, Yeats TH, Caffe-Treml M, Gutiérrez L, Smith KP, Sorrells ME, Gore MA, Jannink JL. Translating insights from the seed metabolome into improved prediction for lipid-composition traits in oat (Avena sativa L.). Genetics. 217. PMID 33789350 DOI: 10.1093/genetics/iyaa043  0.348
2020 Rabbi IY, Kayondo SI, Bauchet G, Yusuf M, Aghogho CI, Ogunpaimo K, Uwugiaren R, Smith IA, Peteti P, Agbona A, Parkes E, Lydia E, Wolfe M, Jannink JL, Egesi C, et al. Genome-wide association analysis reveals new insights into the genetic architecture of defensive, agro-morphological and quality-related traits in cassava. Plant Molecular Biology. PMID 32734418 DOI: 10.1007/S11103-020-01038-3  0.492
2020 Yonis BO, Carpio DPd, Wolfe M, Jannink J, Kulakow P, Rabbi I. Improving root characterisation for genomic prediction in cassava. Scientific Reports. 10: 8003. PMID 32409788 DOI: 10.1038/S41598-020-64963-9  0.474
2020 Mao X, Augyte S, Huang M, Hare MP, Bailey D, Umanzor S, Marty-Rivera M, Robbins KR, Yarish C, Lindell S, Jannink J. Population Genetics of Sugar Kelp Throughout the Northeastern United States Using Genome-Wide Markers Frontiers in Marine Science. 7. DOI: 10.3389/Fmars.2020.00694  0.456
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  0.384
2020 Veenstra LD, Poland J, Jannink J, Sorrells ME. Recurrent genomic selection for wheat grain fructans Crop Science. 60: 1499-1512. DOI: 10.1002/Csc2.20130  0.387
2020 Somo M, Kulembeka H, Mtunda K, Mrema E, Salum K, Wolfe MD, Rabbi IY, Egesi C, Kawuki R, Ozimati A, Lozano R, Jannink J. Genomic prediction and quantitative trait locus discovery in a cassava training population constructed from multiple breeding stages Crop Science. 60: 896-913. DOI: 10.1002/Csc2.20003  0.442
2019 Ozimati A, Kawuki R, Esuma W, Kayondo SI, Pariyo A, Wolfe M, Jannink JL. Genetic Variation and Trait Correlations in an East African Cassava Breeding Population for Genomic Selection. Crop Science. 59: 460-473. PMID 33343017 DOI: 10.2135/cropsci2018.01.0060  0.362
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  0.5
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  0.47
2019 Hu H, Gutierrez-Gonzalez JJ, Liu X, Yeats TH, Garvin DF, Hoekenga OA, Sorrells ME, Gore MA, Jannink JL. Heritable temporal gene expression patterns correlate with metabolomic seed content in developing hexaploid oat seed. Plant Biotechnology Journal. PMID 31677224 DOI: 10.1111/Pbi.13286  0.34
2019 Wolfe MD, Bauchet GJ, Chan AW, Lozano R, Ramu P, Egesi C, Kawuki R, Kulakow P, Rabbi I, Jannink JL. Historical Introgressions from a Wild Relative of Modern Cassava Improved Important Traits and May Be Under Balancing Selection. Genetics. PMID 31624088 DOI: 10.1534/Genetics.119.302757  0.461
2019 Carlson MO, Montilla-Bascón G, Hoekenga OA, Tinker NA, Poland J, Baseggio M, Sorrells M, Jannink JL, Gore MA, Yeats TH. Multivariate Genome-Wide Association Analyses Reveal the Genetic Basis of Seed Fatty Acid Composition in Oat ( L.). G3 (Bethesda, Md.). PMID 31296616 DOI: 10.1534/G3.119.400228  0.366
2019 Blake VC, Woodhouse MR, Lazo GR, Odell SG, Wight CP, Tinker NA, Wang Y, Gu YQ, Birkett CL, Jannink JL, Matthews DE, Hane DL, Michel SL, Yao E, Sen TZ. GrainGenes: centralized small grain resources and digital platform for geneticists and breeders. Database : the Journal of Biological Databases and Curation. 2019. PMID 31210272 DOI: 10.1093/Database/Baz065  0.451
2019 Wang DR, Guadagno CR, Mao X, Mackay DS, Pleban JR, Baker RL, Weinig C, Jannink JL, Ewers BE. A framework for genomics-informed ecophysiological modeling in plants. Journal of Experimental Botany. PMID 30825375 DOI: 10.1093/Jxb/Erz090  0.467
2019 Sun J, Poland JA, Mondal S, Crossa J, Juliana P, Singh RP, Rutkoski JE, Jannink JL, Crespo-Herrera L, Velu G, Huerta-Espino J, Sorrells ME. High-throughput phenotyping platforms enhance genomic selection for wheat grain yield across populations and cycles in early stage. Tag. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik. PMID 30778634 DOI: 10.1007/S00122-019-03309-0  0.451
2019 Santantonio N, Jannink J, Sorrells M. Homeologous Epistasis in Wheat: The Search for an Immortal Hybrid. Genetics. 211: 1105-1122. PMID 30679260 DOI: 10.1534/Genetics.118.301851  0.45
2019 Veenstra LD, Santantonio N, Jannink J, Sorrells ME. Influence of Genotype and Environment on Wheat Grain Fructan Content Crop Science. 59: 190-198. DOI: 10.2135/Cropsci2018.06.0363  0.32
2019 Ozimati A, Kawuki R, Esuma W, Kayondo SI, Pariyo A, Wolfe M, Jannink J. Genetic Variation and Trait Correlations in an East African Cassava Breeding Population for Genomic Selection Crop Science. 59: 460-473. DOI: 10.2135/Cropsci2018.01.0060  0.472
2019 Fritsche-Neto R, Souza TLPOd, Pereira HS, Faria LCd, Melo LC, Novaes E, Brum IJB, Jannink J. Association mapping in common bean revealed regions associated with Anthracnose and Angular Leaf Spot resistance. Scientia Agricola. 76: 321-327. DOI: 10.1590/1678-992X-2017-0306  0.414
2018 Yabe S, Iwata H, Jannink J. Impact of Mislabeling on Genomic Selection in Cassava Breeding Crop Science. 58: 1470-1480. PMID 33343009 DOI: 10.2135/Cropsci2017.07.0442  0.472
2018 Santantonio N, Jannink J, Sorrells M. Prediction of Subgenome Additive and Interaction Effects in Allohexaploid Wheat G3: Genes, Genomes, Genetics. 9: 685-698. PMID 30455185 DOI: 10.1534/G3.118.200613  0.503
2018 Santantonio N, Jannink J, Sorrells M. A Low Resolution Epistasis Mapping Approach To Identify Chromosome Arm Interactions in Allohexaploid Wheat. G3: Genes, Genomes, Genetics. 9: 675-684. PMID 30455184 DOI: 10.1534/G3.118.200646  0.352
2018 Ozimati A, Kawuki R, Esuma W, Kayondo IS, Wolfe M, Lozano R, Rabbi I, Kulakow P, Jannink JL. Training Population Optimization for Prediction of Cassava Brown Streak Disease Resistance in West African Clones. G3 (Bethesda, Md.). 8: 3903-3913. PMID 30373913 DOI: 10.1534/G3.118.200710  0.46
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  0.371
2018 Rosas JE, Martínez S, Blanco P, Pérez de Vida F, Bonnecarrère V, Mosquera G, Cruz M, Garaycochea S, Monteverde E, McCouch S, Germán S, Jannink JL, Gutiérrez L. Resistance to Multiple Temperate and Tropical Stem and Sheath Diseases of Rice. The Plant Genome. 11. PMID 29505639 DOI: 10.3835/Plantgenome2017.03.0029  0.342
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  0.448
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  0.332
2018 Kayondo SI, Pino Del Carpio D, Lozano R, Ozimati A, Wolfe M, Baguma Y, Gracen V, Offei S, Ferguson M, Kawuki R, Jannink JL. Genome-wide association mapping and genomic prediction for CBSD resistance in Manihot esculenta. Scientific Reports. 8: 1549. PMID 29367617 DOI: 10.1038/S41598-018-19696-1  0.503
2018 Elias AA, Rabbi I, Kulakow P, Jannink J. Improving Genomic Prediction in Cassava Field Experiments by Accounting for Interplot Competition. G3: Genes, Genomes, Genetics. 8: 933-944. PMID 29358232 DOI: 10.1534/G3.117.300354  0.445
2018 Elias AA, Rabbi I, Kulakow P, Jannink J. Improving Genomic Prediction in Cassava Field Experiments Using Spatial Analysis G3: Genes, Genomes, Genetics. 8: 53-62. PMID 29109156 DOI: 10.1534/G3.117.300323  0.396
2018 Ezenwaka L, Carpio DPD, Jannink J, Rabbi I, Danquah E, Asante I, Danquah A, Blay E, Egesi C. Genome-Wide Association Study of Resistance to Cassava Green Mite Pest and Related Traits in Cassava Crop Science. 58: 1907-1918. DOI: 10.2135/Cropsci2018.01.0024  0.4
2018 Ly D, Huet S, Gauffreteau A, Rincent R, Touzy G, Mini A, Jannink J, Cormier F, Paux E, Lafarge S, Gouis JL, Charmet G. Whole-genome prediction of reaction norms to environmental stress in bread wheat (Triticum aestivum L.) by genomic random regression Field Crops Research. 216: 32-41. DOI: 10.1016/J.Fcr.2017.08.020  0.411
2017 Rabbi IY, Udoh LI, Wolfe M, Parkes EY, Gedil MA, Dixon A, Ramu P, Jannink JL, Kulakow P. Genome-Wide Association Mapping of Correlated Traits in Cassava: Dry Matter and Total Carotenoid Content. The Plant Genome. 10. PMID 29293815 DOI: 10.3835/Plantgenome2016.09.0094  0.482
2017 Wolfe MD, Del Carpio DP, Alabi O, Ezenwaka LC, Ikeogu UN, Kayondo IS, Lozano R, Okeke UG, Ozimati AA, Williams E, Egesi C, Kawuki RS, Kulakow P, Rabbi IY, Jannink JL. Prospects for Genomic Selection in Cassava Breeding. The Plant Genome. 10. PMID 29293806 DOI: 10.3835/Plantgenome2017.03.0015  0.472
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  0.478
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  0.461
2017 Sun J, Rutkoski JE, Poland JA, Crossa J, Jannink JL, Sorrells ME. Multitrait, Random Regression, or Simple Repeatability Model in High-Throughput Phenotyping Data Improve Genomic Prediction for Wheat Grain Yield. The Plant Genome. 10. PMID 28724067 DOI: 10.3835/plantgenome2016.11.0111  0.398
2017 Edriss V, Gao Y, Zhang X, Jumbo MB, Makumbi D, Olsen MS, Crossa J, Packard KC, Jannink J. Genomic Prediction in a Large African Maize Population Crop Science. 57: 2361-2371. DOI: 10.2135/Cropsci2016.08.0715  0.407
2016 Roorkiwal M, Rathore A, Das RR, Singh MK, Jain A, Srinivasan S, Gaur PM, Chellapilla B, Tripathi S, Li Y, Hickey JM, Lorenz A, Sutton T, Crossa J, Jannink JL, et al. Genome-Enabled Prediction Models for Yield Related Traits in Chickpea. Frontiers in Plant Science. 7: 1666. PMID 27920780 DOI: 10.3389/fpls.2016.01666  0.417
2016 Esvelt Klos K, Huang YF, Bekele WA, Obert DE, Babiker E, Beattie AD, Bjørnstad Å, Bonman JM, Carson ML, Chao S, Gnanesh BN, Griffiths I, Harrison SA, Howarth CJ, Hu G, ... ... Jannink JL, et al. Population Genomics Related to Adaptation in Elite Oat Germplasm. The Plant Genome. 9. PMID 27898836 DOI: 10.3835/Plantgenome2015.10.0103  0.324
2016 Blake VC, Birkett C, Matthews DE, Hane DL, Bradbury P, Jannink JL. The Triticeae Toolbox: Combining Phenotype and Genotype Data to Advance Small-Grains Breeding. The Plant Genome. 9. PMID 27898834 DOI: 10.3835/Plantgenome2014.12.0099  0.356
2016 Wolfe MD, Rabbi IY, Egesi C, Hamblin M, Kawuki R, Kulakow P, Lozano R, Carpio DP, Ramu P, Jannink JL. Genome-Wide Association and Prediction Reveals Genetic Architecture of Cassava Mosaic Disease Resistance and Prospects for Rapid Genetic Improvement. The Plant Genome. 9. PMID 27898832 DOI: 10.3835/Plantgenome2015.11.0118  0.486
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  0.398
2016 Wolfe MD, Kulakow P, Rabbi IY, Jannink JL. Marker-Based Estimates Reveal Significant Non-additive Effects in Clonally Propagated Cassava (Manihot esculenta): Implications for the Prediction of Total Genetic Value and the Selection of Varieties. G3 (Bethesda, Md.). PMID 27587297 DOI: 10.1534/G3.116.033332  0.505
2016 Chan AW, Hamblin MT, Jannink JL. Evaluating Imputation Algorithms for Low-Depth Genotyping-By-Sequencing (GBS) Data. Plos One. 11: e0160733. PMID 27537694 DOI: 10.1371/Journal.Pone.0160733  0.439
2016 Wolfe MD, Rabbi IY, Egesi C, Hamblin M, Kawuki R, Kulakow P, Lozano R, Carpio DPD, Ramu P, Jannink JL. Genome-wide association and prediction reveals genetic architecture of cassava mosaic disease resistance and prospects for rapid genetic improvement Plant Genome. 9. DOI: 10.3835/plantgenome2015.11.0118  0.395
2016 Klos KE, Huang YF, Bekele WA, Obert DE, Babiker E, Beattie AD, Bjørnstad Å, Michael Bonman J, Carson ML, Chao S, Gnanesh BN, Griffiths I, Harrison SA, Howarth CJ, Hu G, ... ... Jannink JL, et al. Population genomics related to adaptation in elite oat Germplasm Plant Genome. 9. DOI: 10.3835/plantgenome2015.10.0103  0.316
2016 De Leon N, Jannink JL, Edwards JW, Kaeppler SM. Introduction to a special issue on genotype by environment interaction Crop Science. 56: 2081-2089. DOI: 10.2135/Cropsci2016.07.0002In  0.342
2016 Rosas JE, Martínez S, Bonnecarrère V, Pérez de Vida F, Blanco P, Malosetti M, Jannink JL, Gutiérrez L. Comparison of phenotyping methods for resistance to stem rot and aggregated sheath spot in rice Crop Science. 56: 1619-1627. DOI: 10.2135/Cropsci2015.09.0598  0.396
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  0.464
2016 Spindel JE, Begum H, Akdemir D, Collard B, Redoña E, Jannink JL, McCouch S. Genome-wide prediction models that incorporate de novo GWAS are a powerful new tool for tropical rice improvement Heredity. 116: 395-408. DOI: 10.1038/hdy.2015.113  0.422
2015 Heslot N, Jannink JL. An alternative covariance estimator to investigate genetic heterogeneity in populations. Genetics, Selection, Evolution : Gse. 47: 93. PMID 26612537 DOI: 10.1186/S12711-015-0171-Z  0.497
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  0.425
2015 Lozano R, Hamblin MT, Prochnik S, Jannink JL. Identification and distribution of the NBS-LRR gene family in the Cassava genome. Bmc Genomics. 16: 360. PMID 25948536 DOI: 10.1186/S12864-015-1554-9  0.343
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  0.429
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  0.568
2015 Lopez-Cruz M, Crossa J, Bonnett D, Dreisigacker S, Poland J, Jannink JL, Singh RP, Autrique E, de los Campos G. Increased prediction accuracy in wheat breeding trials using a marker × environment interaction genomic selection model. G3 (Bethesda, Md.). 5: 569-82. PMID 25660166 DOI: 10.1534/G3.114.016097  0.371
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  0.485
2015 Zhang X, Pérez-Rodríguez P, Semagn K, Beyene Y, Babu R, López-Cruz MA, San Vicente F, Olsen M, Buckler E, Jannink JL, Prasanna BM, Crossa J. Genomic prediction in biparental tropical maize populations in water-stressed and well-watered environments using low-density and GBS SNPs. Heredity. 114: 291-9. PMID 25407079 DOI: 10.1038/Hdy.2014.99  0.401
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  0.311
2015 Rutkoski J, Singh RP, Huerta-Espino J, Bhavani S, Poland J, Jannink JL, Sorrells ME. Genetic gain from phenotypic and genomic selection for quantitative resistance to stem rust of wheat Plant Genome. 8. DOI: 10.3835/Plantgenome2014.10.0074  0.35
2015 Rutkoski J, Singh RP, Huerta-Espino J, Bhavani S, Poland J, Jannink JL, Sorrells ME. Efficient use of historical data for genomic selection: A case study of stem rust resistance in wheat Plant Genome. 8: 1-10. DOI: 10.3835/Plantgenome2014.09.0046  0.354
2015 Sallam AH, Endelman JB, Jannink JL, Smith KP. Assessing genomic selection prediction accuracy in a dynamic barley breeding population Plant Genome. 8. DOI: 10.3835/Plantgenome2014.05.0020  0.466
2015 Heslot N, Jannink J, Sorrells ME. Perspectives for Genomic Selection Applications and Research in Plants Crop Science. 55: 1-12. DOI: 10.2135/Cropsci2014.03.0249  0.503
2014 Tecle IY, Edwards JD, Menda N, Egesi C, Rabbi IY, Kulakow P, Kawuki R, Jannink JL, Mueller LA. solGS: a web-based tool for genomic selection. Bmc Bioinformatics. 15: 398. PMID 25495537 DOI: 10.1186/S12859-014-0398-7  0.463
2014 Newell MA, Jannink JL. Genomic selection in plant breeding. Methods in Molecular Biology (Clifton, N.J.). 1145: 117-30. PMID 24816664 DOI: 10.1007/978-1-4939-0446-4_10  0.519
2014 Rabbi IY, Hamblin MT, Kumar PL, Gedil MA, Ikpan AS, Jannink JL, Kulakow PA. High-resolution mapping of resistance to cassava mosaic geminiviruses in cassava using genotyping-by-sequencing and its implications for breeding. Virus Research. 186: 87-96. PMID 24389096 DOI: 10.1016/J.Virusres.2013.12.028  0.364
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  0.441
2014 Rutkoski JE, Poland JA, Singh RP, Huerta-Espino J, Bhavani S, Barbier H, Rouse MN, Jannink JL, Sorrells ME. Genomic selection for quantitative adult plant stem rust resistance in wheat Plant Genome. 7. DOI: 10.3835/plantgenome2014.02.0006  0.39
2014 Rabbi I, Hamblin M, Gedil M, Kulakow P, Ferguson M, Ikpan AS, Ly D, Jannink JL. Genetic mapping using genotyping-by-sequencing in the clonally propagated cassava Crop Science. 54: 1384-1396. DOI: 10.2135/Cropsci2013.07.0482  0.508
2014 Endelman JB, Atlin GN, Beyene Y, Semagn K, Zhang X, Sorrells ME, Jannink JL. Optimal design of preliminary yield trials with genome-wide markers Crop Science. 54: 48-59. DOI: 10.2135/Cropsci2013.03.0154  0.5
2014 Newell MA, Kim HJ, Asoro FG, Lauter AM, White PJ, Scott MP, Jannink JL. Microenzymatic evaluation of oat (Avena sativa L.) β-glucan for high-throughput phenotyping Cereal Chemistry. 91: 183-188. DOI: 10.1094/Cchem-06-13-0111-R  0.311
2013 Heslot N, Rutkoski J, Poland J, Jannink JL, Sorrells ME. Impact of marker ascertainment bias on genomic selection accuracy and estimates of genetic diversity. Plos One. 8: e74612. PMID 24040295 DOI: 10.1371/Journal.Pone.0074612  0.446
2013 Crossa J, Beyene Y, Kassa S, Pérez P, Hickey JM, Chen C, de los Campos G, Burgueño J, Windhausen VS, Buckler E, Jannink JL, Lopez Cruz MA, Babu R. Genomic prediction in maize breeding populations with genotyping-by-sequencing. G3 (Bethesda, Md.). 3: 1903-26. PMID 24022750 DOI: 10.1534/G3.113.008227  0.484
2013 Riedelsheimer C, Endelman JB, Stange M, Sorrells ME, Jannink JL, Melchinger AE. Genomic predictability of interconnected biparental maize populations. Genetics. 194: 493-503. PMID 23535384 DOI: 10.1534/Genetics.113.150227  0.464
2013 Oliver RE, Tinker NA, Lazo GR, Chao S, Jellen EN, Carson ML, Rines HW, Obert DE, Lutz JD, Shackelford I, Korol AB, Wight CP, Gardner KM, Hattori J, Beattie AD, ... ... Jannink JL, et al. SNP discovery and chromosome anchoring provide the first physically-anchored hexaploid oat map and reveal synteny with model species. Plos One. 8: e58068. PMID 23533580 DOI: 10.1371/Journal.Pone.0058068  0.328
2013 Rutkoski JE, Poland J, Jannink JL, Sorrells ME. Imputation of unordered markers and the impact on genomic selection accuracy. G3 (Bethesda, Md.). 3: 427-39. PMID 23449944 DOI: 10.1534/G3.112.005363  0.486
2013 Ly D, Hamblin M, Rabbi I, Melaku G, Bakare M, Gauch HG, Okechukwu R, Dixon AGO, Kulakow P, Jannink JL. Relatedness and genotype × environment interaction affect prediction accuracies in genomic selection: A study in cassava Crop Science. 53: 1312-1325. DOI: 10.2135/Cropsci2012.11.0653  0.482
2013 Asoro FG, Newell MA, Beavis WD, Scott MP, Tinker NA, Jannink JL. Genomic, marker-assisted, and pedigree-BLUP selection methods for β-glucan concentration in elite oat Crop Science. 53: 1894-1906. DOI: 10.2135/Cropsci2012.09.0526  0.42
2013 Heslot N, Jannink JL, Sorrells ME. Using genomic prediction to characterize environments and optimize prediction accuracy in applied breeding data Crop Science. 53: 921-933. DOI: 10.2135/Cropsci2012.07.0420  0.488
2013 Asoro FG, Newell MA, Scott MP, Beavis WD, Jannink JL. Genome-wide association study for beta-glucan concentration in elite North American oat Crop Science. 53: 542-553. DOI: 10.2135/Cropsci2012.01.0039  0.312
2013 Newell MA, Cook D, Hofmann H, Jannink JL. An algorithm for deciding the number of clusters and validation using simulated data with application to exploring crop population structure Annals of Applied Statistics. 7: 1898-1916. DOI: 10.1214/13-Aoas671  0.315
2013 Dawson JC, Endelman JB, Heslot N, Crossa J, Poland J, Dreisigacker S, Manès Y, Sorrells ME, Jannink JL. The use of unbalanced historical data for genomic selection in an international wheat breeding program Field Crops Research. 154: 12-22. DOI: 10.1016/J.Fcr.2013.07.020  0.48
2012 Windhausen VS, Atlin GN, Hickey JM, Crossa J, Jannink JL, Sorrells ME, Raman B, Cairns JE, Tarekegne A, Semagn K, Beyene Y, Grudloyma P, Technow F, Riedelsheimer C, Melchinger AE. Effectiveness of genomic prediction of maize hybrid performance in different breeding populations and environments. G3 (Bethesda, Md.). 2: 1427-36. PMID 23173094 DOI: 10.1534/G3.112.003699  0.489
2012 Endelman JB, Jannink JL. Shrinkage estimation of the realized relationship matrix. G3 (Bethesda, Md.). 2: 1405-13. PMID 23173092 DOI: 10.1534/G3.112.004259  0.427
2012 Jia Y, Jannink JL. Multiple-trait genomic selection methods increase genetic value prediction accuracy. Genetics. 192: 1513-22. PMID 23086217 DOI: 10.1534/Genetics.112.144246  0.523
2012 Newell MA, Asoro FG, Scott MP, White PJ, Beavis WD, Jannink JL. Genome-wide association study for oat (Avena sativa L.) beta-glucan concentration using germplasm of worldwide origin. Tag. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik. 125: 1687-96. PMID 22865125 DOI: 10.1007/S00122-012-1945-0  0.483
2012 Poland JA, Brown PJ, Sorrells ME, Jannink JL. Development of high-density genetic maps for barley and wheat using a novel two-enzyme genotyping-by-sequencing approach. Plos One. 7: e32253. PMID 22389690 DOI: 10.1371/Journal.Pone.0032253  0.338
2012 Poland J, Endelman J, Dawson J, Rutkoski J, Wu S, Manes Y, Dreisigacker S, Crossa J, Sánchez-Villeda H, Sorrells M, Jannink JL. Genomic selection in wheat breeding using genotyping-by-sequencing Plant Genome. 5: 103-113. DOI: 10.3835/Plantgenome2012.06.0006  0.528
2012 Rutkoski J, Benson J, Jia Y, Brown-Guedira G, Jannink JL, Sorrells M. Evaluation of genomic prediction methods for fusarium head blight resistance in wheat Plant Genome. 5: 51-61. DOI: 10.3835/Plantgenome2012.02.0001  0.407
2012 Heslot N, Yang HP, Sorrells ME, Jannink JL. Genomic selection in plant breeding: A comparison of models Crop Science. 52: 146-160. DOI: 10.2135/Cropsci2011.06.0297  0.469
2011 Hamblin MT, Buckler ES, Jannink JL. Population genetics of genomics-based crop improvement methods. Trends in Genetics : Tig. 27: 98-106. PMID 21227531 DOI: 10.1016/J.Tig.2010.12.003  0.523
2011 Newell MA, Cook D, Tinker NA, Jannink JL. Population structure and linkage disequilibrium in oat (Avena sativa L.): Implications for genome-wide association studies Theoretical and Applied Genetics. 122: 623-632. PMID 21042793 DOI: 10.1007/S00122-010-1474-7  0.325
2011 Hamblin MT, Jannink J. Factors Affecting the Power of Haplotype Markers in Association Studies The Plant Genome. 4: 145-153. DOI: 10.3835/Plantgenome2011.03.0008  0.411
2011 Asoro FG, Newell MA, Beavis WD, Scott MP, Jannink J. Accuracy and Training Population Design for Genomic Selection on Quantitative Traits in Elite North American Oats The Plant Genome. 4: 132-144. DOI: 10.3835/Plantgenome2011.02.0007  0.519
2011 Heffner EL, Jannink J, Sorrells ME. Genomic Selection Accuracy using Multifamily Prediction Models in a Wheat Breeding Program The Plant Genome. 4: 65-75. DOI: 10.3835/Plantgenome2010.12.0029  0.525
2011 Heffner EL, Jannink JL, Iwata H, Souza E, Sorrells ME. Genomic selection accuracy for grain quality traits in biparental wheat populations Crop Science. 51: 2597-2606. DOI: 10.2135/Cropsci2011.05.0253  0.527
2011 Iwata H, Jannink JL. Accuracy of genomic selection prediction in barley breeding programs: A simulation study based on the real single nucleotide polymorphism data of barley breeding lines Crop Science. 51: 1915-1927. DOI: 10.2135/Cropsci2010.12.0732  0.501
2011 Bradbury P, Parker T, Hamblin MT, Jannink JL. Assessment of power and false discovery rate in genome-wide association studies using the barleyCAP germplasm Crop Science. 51: 52-59. DOI: 10.2135/Cropsci2010.02.0064  0.45
2011 Lorenz AJ, Chao S, Asoro FG, Heffner EL, Hayashi T, Iwata H, Smith KP, Sorrells ME, Jannink JL. Genomic Selection in Plant Breeding. Knowledge and Prospects Advances in Agronomy. 110: 77-123. DOI: 10.1016/B978-0-12-385531-2.00002-5  0.434
2010 Lorenz AJ, Hamblin MT, Jannink JL. Performance of single nucleotide polymorphisms versus haplotypes for genome-wide association analysis in barley. Plos One. 5: e14079. PMID 21124933 DOI: 10.1371/journal.pone.0014079  0.322
2010 Jannink JL. Dynamics of long-term genomic selection. Genetics, Selection, Evolution : Gse. 42: 35. PMID 20712894 DOI: 10.1186/1297-9686-42-35  0.378
2010 Jannink JL, Lorenz AJ, Iwata H. Genomic selection in plant breeding: from theory to practice. Briefings in Functional Genomics. 9: 166-77. PMID 20156985 DOI: 10.1093/bfgp/elq001  0.365
2010 Heffner EL, Lorenz AJ, Jannink JL, Sorrells ME. Plant breeding with Genomic selection: Gain per unit time and cost Crop Science. 50: 1681-1690. DOI: 10.2135/cropsci2009.11.0662  0.407
2010 Iwata H, Jannink JL. Marker genotype imputation in a low-marker-density panel with a high-marker-density reference panel: Accuracy evaluation in barley breeding lines Crop Science. 50: 1269-1278. DOI: 10.2135/Cropsci2009.08.0434  0.442
2010 Iwata H, Ebana K, Uga Y, Hayashi T, Jannink JL. Genome-wide association study of grain shape variation among Oryza sativa L. germplasms based on elliptic Fourier analysis Molecular Breeding. 25: 203-215. DOI: 10.1007/S11032-009-9319-2  0.433
2009 Zhong S, Dekkers JC, Fernando RL, Jannink JL. Factors affecting accuracy from genomic selection in populations derived from multiple inbred lines: a Barley case study. Genetics. 182: 355-64. PMID 19299342 DOI: 10.1534/Genetics.108.098277  0.495
2009 Waugh R, Jannink JL, Muehlbauer GJ, Ramsay L. The emergence of whole genome association scans in barley. Current Opinion in Plant Biology. 12: 218-22. PMID 19185530 DOI: 10.1016/J.Pbi.2008.12.007  0.394
2009 Tinker NA, Kilian A, Wight CP, Heller-Uszynska K, Wenzl P, Rines HW, Bjørnstad A, Howarth CJ, Jannink JL, Anderson JM, Rossnagel BG, Stuthman DD, Sorrells ME, Jackson EW, Tuvesson S, et al. New DArT markers for oat provide enhanced map coverage and global germplasm characterization. Bmc Genomics. 10: 39. PMID 19159465 DOI: 10.1186/1471-2164-10-39  0.461
2009 Iwata H, Ebana K, Fukuoka S, Jannink JL, Hayashi T. Bayesian multilocus association mapping on ordinal and censored traits and its application to the analysis of genetic variation among Oryza sativa L. germplasms. Tag. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik. 118: 865-80. PMID 19132337 DOI: 10.1007/S00122-008-0945-6  0.474
2009 Jannink JL, Moreau L, Charmet G, Charcosset A. Overview of QTL detection in plants and tests for synergistic epistatic interactions. Genetica. 136: 225-36. PMID 18695990 DOI: 10.1007/S10709-008-9306-2  0.43
2009 Jannink J, Iwata H, Bhat PR, Chao S, Wenzl P, Muehlbauer GJ. Marker Imputation in Barley Association Studies The Plant Genome. 2: 11-22. DOI: 10.3835/Plantgenome2008.09.0006  0.444
2009 Heffner EL, Sorrells ME, Jannink JL. Genomic selection for crop improvement Crop Science. 49: 1-12. DOI: 10.2135/Cropsci2008.08.0512  0.532
2009 Boddhireddy P, Jannink JL, Nelson JC. Selective advance for accelerated development of recombinant inbred QTL mapping populations Crop Science. 49: 1284-1294. DOI: 10.2135/Cropsci2008.06.0368  0.404
2009 Gutiérrez L, Nason JD, Jannink JL. Diversity and mega-targets of selection from the characterization of a barley collection Crop Science. 49: 483-497. DOI: 10.2135/Cropsci2008.01.0060  0.372
2008 Jannink JL. QTL x genetic background interaction: Predicting inbred progeny value Euphytica. 161: 61-69. DOI: 10.1007/S10681-007-9509-0  0.415
2007 Zhong S, Jannink JL. Using quantitative trait loci results to discriminate among crosses on the basis of their progeny mean and variance. Genetics. 177: 567-76. PMID 17660556 DOI: 10.1534/Genetics.107.075358  0.431
2007 Jannink JL. Identifying quantitative trait locus by genetic background interactions in association studies. Genetics. 176: 553-61. PMID 17179077 DOI: 10.1534/Genetics.106.062992  0.428
2007 Chernyshova AA, White PJ, Scott MP, Jannink JL. Selection for nutritional function and agronomic performance in oat Crop Science. 47: 2330-2339. DOI: 10.2135/Cropsci2006.12.0759  0.322
2007 Jia H, Nettleton D, Peterson JM, Vazquez-Carrillo G, Jannink JL, Scott MP. Comparison of transcript profiles in wild-type and o2 maize endosperm in different genetic backgrounds Crop Science. 47. DOI: 10.2135/Cropsci2006-0002Tpg  0.308
2006 Verhoeven KJF, Jannink JL, McIntyre LM. Using mating designs to uncover QTL and the genetic architecture of complex traits Heredity. 96: 139-149. PMID 16304603 DOI: 10.1038/sj.hdy.6800763  0.349
2006 Doehlert DC, Jannink JL, McMullen MS. Kernel size variation in naked oat Crop Science. 46: 1117-1123. DOI: 10.2135/Cropsci2005.06-0171  0.313
2006 Long J, Holland JB, Munkvold GP, Jannink JL. Responses to selection for partial resistance to crown rust in oat Crop Science. 46: 1260-1265. DOI: 10.2135/Cropsci2005.06-0169  0.372
2006 Schwarte AJ, Gibson LR, Karlen DL, Dixon PM, Liebman M, Jannink JL. Planting date effects on winter triticale grain yield and yield components Crop Science. 46: 1218-1224. DOI: 10.2135/Cropsci2005.06-0130  0.302
2006 Edwards JW, Jannink JL. Bayesian modeling of heterogeneous error and genotype X environment interaction variances Crop Science. 46: 820-833. DOI: 10.2135/Cropsci2005.0164  0.332
2005 Jannink JL. Selective phenotyping to accurately map quantitative trait loci Crop Science. 45: 901-908. DOI: 10.2135/cropsci2004.0278  0.318
2004 Jannink JL, Fernando RL. On the Metropolis-Hastings acceptance probability to add or drop a quantitative trait locus in Markov chain Monte Carlo-based Bayesian analyses. Genetics. 166: 641-3. PMID 15020452 DOI: 10.1534/Genetics.166.1.641  0.369
2004 Wu XL, Jannink JL. Optimal sampling of a population to determine QTL location, variance, and allelic number. Tag. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik. 108: 1434-42. PMID 14740089 DOI: 10.1007/S00122-003-1569-5  0.364
2004 Doehlert DC, McMullen MS, Jannink JL, Panigrahi S, Gu H, Riveland NR. Evaluation of oat kernel size uniformity Crop Science. 44: 1178-1186. DOI: 10.2135/Cropsci2004.1178  0.306
2003 Jannink JL, Wu XL. Estimating allelic number and identity in state of QTLs in interconnected families. Genetical Research. 81: 133-44. PMID 12872915 DOI: 10.1017/S0016672303006153  0.329
2003 Jannink J. Likelihood of Bayesian, and MCMC Methods in Quantitative Genetics. Crop Science. 43: 1574-1575. DOI: 10.2135/Cropsci2003.1574  0.366
2003 Jansen RC, Jannink J, Beavis WD. Mapping Quantitative Trait Loci in Plant Breeding Populations Crop Science. 43: 829. DOI: 10.2135/Cropsci2003.0829  0.484
2001 Jannink J, Bink MC, Jansen RC. Using complex plant pedigrees to map valuable genes. Trends in Plant Science. 6: 337-42. PMID 11495765 DOI: 10.1016/S1360-1385(01)02017-9  0.41
2001 Jannink JL, Jansen R. Mapping epistatic quantitative trait loci with one-dimensional genome searches Genetics. 157: 445-454. PMID 11139524  0.375
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