| 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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