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Publications (2016 ~ 2019) (Showing 35 out of 186 articles)
Dr. Schnable's Google Scholar Page

Impact Factors: 2017 Journal Citation Reports® (Clarivate Analytics, June 2018)
* Authors contributed equally to the article
Coming Soon (7 articles)
  • Bao Y, L Tang, S Srinivasan, PS Schnable (2019) Field-based architectural traits characterisation of maize plant using time-of-flight 3D imaging. Biosyst Eng, in press.
    [ Abstract | doi:10.1016/j.biosystemseng.2018.11.005 ]
  • Shete S, S Srinivasan, SV Mirnezami, B Ganapathysubramanian, PS Schnable, T Gonsalves (2018) An automated tassel detection and trait extraction pipeline to support high-throughput field imaging of maize. ICVGIP 2018, in press.
  • Zou C, L Li, D Miki, D Li, Q Tang, L Xiao, S Rajput, P Deng, L Peng, W Jia, R Huang, M Zhang, Y Sun, J Hu, X Fu, PS Schnable, Y Chang, F Li, H Zhang, B Feng, X Zhu, R Liu, JC Schnable, JK Zhu, H Zhang (2018) The genome of broomcorn millet. Nat Commun, in press.
  • Moehs CP, WJ Austill, A Holm, TAG Large, D Loeffler, J Mullenberg, PS Schnable, W Skinner, J van Boxtel, L Wu, C McGuire (2018) Development of reduced gluten wheat enabled by determination of the genetic basis of lys3a barley. Plant Physiol, in press.
  • Zheng J*, C He*, Y Qin, G Lin, WD Park, M Sun, J Li, X Lu, C Zhang, CT Yeh, CJ Gunasekara, E Zeng, H Wei, PS Schnable, G Wang, S Liu (2018) Co-expression analysis aids in the identification of genes in the cuticular wax pathway in maize. Plant J, in press.
    [ doi:10.1111/tpj.14140 | PMID: 30375131 ]
  • Zhou Y, S Srinivasan, SV Mirnezami, A Kusmec, F Qi, L Attigala, MG Salas Fernandez, B Ganapathysubramanian, PS Schnable (2018) Semi-automated feature extraction from RGB images for sorghum panicle architecture GWAS. Plant Physiol, in press.
    [ doi:10.1104/pp.18.00974 | PMID: 30389784 ]
  • Liang Y*, Q Liu*, X Wang*, C Huang, G Xu, S Hey, HY Lin, C Li, D Xu, L Wu, C Wang, W Wu, J Xia, X Han, S Lu, J Lai, W Song, PS Schnable, F Tian (2018) ZmMADS69 functions as a flowering activator through the ZmRap2.7-ZCN8 regulatory module and contributes to maize flowering time adaptation. New Phytol, in press.
    [ Abstract | doi:10.1111/nph.15512 | PMID: 30288760 ]
2018 (14 articles)↑ Top
  • Yang J, CT Yeh, RK Ramamurthy, X Qi, RL Fernando, JCM Dekkers, DJ Garrick, D Nettleton, PS Schnable (2018) Empirical comparisons of different statistical models to identify and validate kernel row number-associated variants from structured multi-parent mapping populations of maize. G3 (Bethesda), 8(11): 3567-3575.
    [ Abstract | Full Text PDF | Supplemental Materials | doi:10.1534/g3.118.200636 | PMID: 30213868 | Impact Factor: 2.7 ]
  • Bao Y, L Tang, M Breitzman, MG Salas Fernandez, PS Schnable (2018) Field-based robotic phenotyping of sorghum plantarchitecture using stereo vision. J. Field Robotics: 1-19.
    [ Abstract | Full Text PDF | doi:10.1002/rob.21830 | Impact Factor: 3.5 ]
  • Guo H, TM Nolan, G Song, S Liu, Z Xie, J Chen, PS Schnable, JW Walley, Y Yin (2018) FERONIA receptor kinase contributes to plant immunity by suppressing jasmonic acid signaling in Arabidopsis thaliana. Curr Biol, 28(20): 3316-3324.
    [ Abstract | Full Text PDF | doi:10.1016/j.cub.2018.07.078 | PMID: 30270181 | Impact Factor: 9.3 ]
  • Kusmec A, N de Leon, PS Schnable (2018) Harnessing phenotypic plasticity to improve maize yields. Front Plant Sci, 9: 1377.
    [ Abstract | Full Text PDF | doi:10.3389/fpls.2018.01377 | PMID: 30283485 | Impact Factor: 3.7 ]
  • Liu S*, JC Schnable*, A Ott*, CT Yeh, NM Springer, J Yu, GJ Muehlbauer, MCP Timmermans, MJ Scanlon, PS Schnable (2018) Intragenic meiotic crossovers generate novel alleles with transgressive expression levels. Mol Biol Evol, 35(11): 2762-2772.
    [ Abstract | Full Text PDF | Supplemental Materials | doi:10.1093/molbev/msy174 | PMID: 30184112 | Impact Factor: 10.2 ]
  • Ott A, JC Schnable, CT Yeh, L Wu, C Liu, HC Hu, CL Dalgard, S Sarkar, PS Schnable (2018) Linked read technology for assembling large complex and polyploid genomes. BMC Genomics, 19(1): 651.
    [ Abstract | Full Text PDF | doi:10.1186/s12864-018-5040-z | PMID: 30180802 | Impact Factor: 3.7 ]
  • Sun S*, Y Zhou*, J Chen*, J Shi*, H Zhao*, H Zhao, W Song, M Zhang, Y Cui, X Dong, H Liu, X Ma, Y Jiao, B Wang, X Wei, JC Stein, JC Glaubitz, F Lu, G Yu, C Liang, K Fengler, B Li, A Rafalski, PS Schnable, D Ware, ES Buckler, J Lai (2018) Extensive intraspecific gene order and gene structural variations between Mo17 and other maize genomes. Nat Genet, 50: 1289-1295.
    [ Abstract | Full Text PDF | Supplemental Materials | doi:10.1038/s41588-018-0182-0 | PMID: 30061735 | Impact Factor: 27.1 ]
  • Alkhalifah N*, DA Campbell*, CM Falcon*, J Gardiner*, ND Miller*, MC Romay*, R Walls*, R Walton*, CT Yeh*, M Bohn, J Bubert, ES Buckler, I Ciampitti, S Flint-Garcia, MA Gore, C Graham, CN Hirsch, JB Holland, DC Hooker, SM Kaeppler, J Knoll, N Lauter, EC Lee, A Lorenz, JP Lynch, SP Moose, SC Murray, R Nelson, T Rocheford, O Rodriguez, JC Schnable, B Scully, M Smith, NM Springer, P Thomison, MR Tuinstra, RJ Wisser, W Xu, D Ertl, PS Schnable, N de Leon, EP Spalding, J Edwards, CJ Lawrence-Dill (2018) Maize genomes to fields: 2014 and 2015 field season genotype, phenotype, environment, and inbred ear image datasets. BMC Res Notes, 11(1): 452.
    [ Abstract | Full Text PDF | doi:10.1186/s13104-018-3508-1 | PMID: 29986751 ]
  • Liang Z, SK Gupta, CT Yeh, Y Zhang, DW Ngu, R Kumar, HT Patil, KD Mungra, DV Yadav, A Rathore, RK Srivastava, R Gupta, J Yang, RK Varshney, PS Schnable, JC Schnable (2018) Phenotypic data from inbred parents can improve genomic prediction in pearl millet hybrids. G3 (Bethesda), 8(7): 2513-2522.
    [ Abstract | Full Text PDF | Supplemental Materials | doi:10.1534/g3.118.200242 | PMID: 29794163 | Impact Factor: 2.7 ]
  • Ali J, UM Aslam, R Tariq, V Murugaiyan, PS Schnable, D Li, CM Marfori-Nazarea, JE Hernandez, M Arif, J Xu, Z Li (2018) Exploiting the genomic diversity of rice (Oryza sativa L.): SNP-typing in 11 early-backcross introgression-breeding populations. Front Plant Sci, 9: 849.
    [ Abstract | Full Text PDF | Supplemental Materials | doi:10.3389/fpls.2018.00849 | PMID: 29988489 | Impact Factor: 3.7 ]
  • Lawrence-Dill CJ, TJ Heindel, PS Schnable, SJ Strong, J Wittrock, ME Losch, JA Dickerson (2018) Transdisciplinary graduate training in predictive plant phenomics. Agronomy, 8(73).
    [ Abstract | Full Text PDF | doi:10.3390/agronomy8050073 | Impact Factor: 1.4 ]
  • Kusmec A, PS Schnable (2018) FarmCPUpp: Efficient large-scale genomewide association studies. Plant Direct, 2(4): 1-6.
    [ Abstract | Full Text PDF | doi:10.1002/pld3.53 ]
  • Li Z, L Coffey, J Garfin, ND Miller, MR White, EP Spalding, N de Leon, SM Kaeppler, PS Schnable, NM Springer, CN Hirsch (2018) Genotype-by-Environment interactions affecting heterosis in maize. PLoS One, 13(1): e0191321.
    [ Abstract | Full Text PDF | Supplemental Materials | doi:10.1371/journal.pone.0191321 | PMID: 29342221 | Impact Factor: 2.8 ]
  • Chen L*, P Zhang*, Y Fan*, Q Lu, Q Li, J Yan, GJ Muehlbauer, PS Schnable, M Dai, L Li (2018) Circular RNAs mediated by transposons are associated with transcriptomic and phenotypic variation in maize. New Phytol, 217(3): 1292-1306.
    [ Abstract | Full Text PDF | Supplemental Materials | doi:10.1111/nph.14901 | PMID: 29155438 | Impact Factor: 7.4 ]
2017 (10 articles)↑ Top
  • Oren S, H Ceylan, PS Schnable, L Dong (2017) High-resolution patterning and transferring of graphene-based nanomaterials onto Tape toward roll-to-roll production of tape-based wearable sensors. Adv Mater Technol, 2(12): 1700223. (Cover image ; Selected by Editors as "Best of Advanced Materials Technologies 2017" virtual issue)
    [ Abstract | Full Text PDF | Supplemental Materials | doi:10.1002/admt.201700223 | Impact Factor: 4.6 ]

  • Gage JL, D Jarquin, MC Romay, A Lorenz, ES Buckler, SM Kaeppler, N Alkhalifah, M Bohn, DA Campbell, J Edwards, D Ertl, S Flint-Garcia, J Gardiner, B Good, CN Hirsch, JB Holland, DC Hooker, J Knoll, J Kolkman, G Kruger, N Lauter, CJ Lawrence-Dill, EC Lee, JP Lynch, SC Murray, R Nelson, J Petzoldt, T Rocheford, JC Schnable, PS Schnable, B Scully, M Smith, NM Springer, S Srinivasan, R Walton, T Weldekidan, RJ Wisser, W Xu, J Yu, N de Leon (2017) The effect of artificial selection on phenotypic plasticity in maize. Nat Commun, 8(1): 1348. (Epub 7 Nov 2017)
    [ Abstract | Full Text PDF | Supplemental Materials | doi:10.1038/s41467-017-01450-2 | PMID: 29116144 | Impact Factor: 12.4 ]
  • Lin HY, Q Liu, X Li, J Yang, S Liu, Y Huang, MJ Scanlon, D Nettleton, PS Schnable (2017) Substantial contribution of genetic variation in the expression of transcription factors to phenotypic variation revealed by eRD-GWAS. Genome Biol, 18(1): 192. (Epub 2017 Oct 10)
    [ Abstract | Full Text PDF | doi:10.1186/s13059-017-1328-6 | PMID: 29041960 | Impact Factor: 13.2 ]
  • Ott A*, S Liu*, JC Schnable, CT Yeh, KS Wang, PS Schnable (2017) tGBS® genotyping-by-sequencing enables reliable genotyping of heterozygous loci. Nucleic Acids Res, 45(21): e178.
    [ Abstract | Full Text PDF | Supplemental Materials | doi:10.1093/nar/gkx853 | PMID: 29036322 | Impact Factor: 11.6 ]
  • Kusmec A, S Srinivasan, D Nettleton, PS Schnable (2017) Distinct genetic architectures for phenotype means and plasticities in Zea mays. Nat Plants, 3(9): 715-723. (Selected by journal editors for a commentary written by Bruce Walsh (https://www.nature.com/articles/s41477-017-0012-x; Selected as an Editors' Choice by MaizeGDB, 10/2017 ; Epub 4 Sep 2017)
    [ Abstract | Full Text PDF (External) | Supplemental Materials | doi:10.1038/s41477-017-0007-7 | PMID: 29150689 | Impact Factor: 11.5 ]
  • Salas Fernandez MG, Y Bao, L Tang, PS Schnable (2017) A high-throughput, field-based phenotyping technology for tall biomass crops. Plant Physiol, 174(4): 2008-2022.
    [ Abstract | Full Text PDF | Supplemental Materials | doi:10.1104/pp.17.00707 | PMID: 28620124 | Impact Factor: 5.9 ]
  • Goiffon M, A Kusmec, L Wang, G Hu, PS Schnable (2017) Improving response in genomic selection with a population-based selection strategy: optimal population value selection. Genetics, 206(3): 1675-1682. (Selected by journal editors as an "Issue Highlight")
    [ Abstract | Full Text PDF | doi:10.1534/genetics.116.197103 | PMID: 28526698 | Impact Factor: 4.1 ]
  • Mei W, S Liu, JC Schnable, CT Yeh, NM Springer, PS Schnable, WB Barbazuk (2017) A comprehensive analysis of alternative splicing in paleopolyploid maize. Front Plant Sci, 8: 694.
    [ Abstract | Full Text PDF | Supplemental Materials | doi:10.3389/fpls.2017.00694 | PMID: 28539927 | Impact Factor: 3.7 ]
  • Ye H, S Liu, B Tang, J Chen, Z Xie, TM Nolan, H Jiang, H Guo, HY Lin, L Li, Y Wang, H Tong, M Zhang, C Chu, Z Li, M Aluru, S Aluru, PS Schnable, Y Yin (2017) RD26 mediates crosstalk between drought and brassinosteroid signalling pathways. Nat Commun, 8: 14573.
    [ Abstract | Full Text PDF | Supplemental Materials | doi:10.1038/ncomms14573 | PMID: 28233777 | Impact Factor: 12.4 ]
  • Nolan TM, S Liu, H Guo, L Li, PS Schnable, Y Yin (2017) Identification of brassinosteroid target genes by chromatin immunoprecipitation followed by high-throughput sequencing (ChIP-seq) and RNA-sequencing. Methods Mol Biol, 1564: 63-79.
    [ Abstract | Full Text PDF | doi:10.1007/978-1-4939-6813-8_7 | PMID: 28124247 ]
2016 (4 articles)↑ Top
  • Li L, R Briskine, R Schaefer, PS Schnable, CL Myers, LE Flagel, NM Springer, GJ Muehlbauer (2016) Co-expression network analysis of duplicate genes in maize (Zea mays L.) reveals no subgenome bias. BMC Genomics, 17(1): 875. (Epub 2016 Nov 4)
    [ Abstract | Full Text PDF | doi:10.1186/s12864-016-3194-0 | PMID: 27814670 | Impact Factor: 3.7 ]
  • Li L*, S Hey*, S Liu, Q Liu, C McNinch, HC Hu, TJ Wen, C Marcon, A Paschold, W Bruce, PS Schnable, F Hochholdinger (2016) Characterization of maize roothairless6 which encodes a D-type cellulose synthase and controls the switch from bulge formation to tip growth. Sci Rep, 6: 34395. (Selected as an Editors' Choice by MaizeGDB, 11/2016)
    [ Abstract | Full Text PDF | Supplemental Materials | doi:10.1038/srep34395 | PMID: 27708345 | Impact Factor: 4.1 ]
  • Yu X, X Li, T Guo, C Zhu, Y Wu, SE Mitchell, KL Roozeboom, D Wang, ML Wang, GA Pederson, TT Tesso, PS Schnable, R Bernardo, J Yu (2016) Genomic prediction contributing to a promising global strategy to turbocharge gene banks. Nat Plants, 2: 16150. (Epub 2016 Oct 3)
    [ Abstract | Full Text PDF (External) | Supplemental Materials | doi:10.1038/nplants.2016.150 | PMID: 27694945 | Impact Factor: 11.5 ]
  • Yáñez JM, S Naswa, ME López, L Bassini, K Correa, J Gilbey, L Bernatchez, A Norris, R Neira, JP Lhorente, PS Schnable, S Newman, A Mileham, N Deeb, A Di Genova, A Maass (2016) Genomewide single nucleotide polymorphism discovery in Atlantic salmon (Salmo salar): validation in wild and farmed American and European populations. Mol Ecol Resour, 16(4): 1002-1011.
    [ Abstract | Full Text PDF | doi:10.1111/1755-0998.12503 | PMID: 26849107 | Impact Factor: 7.1 ]

Advanced Materials Technologies 2017: Volume 2, Issue 12


Oren S, H Ceylan, PS Schnable, L Dong (2017) High-resolution patterning and transferring of graphene-based nanomaterials onto Tape toward roll-to-roll production of tape-based wearable sensors. Adv Mater Technol, 2(12): 1700223. (Cover image ; Selected by Editors as "Best of Advanced Materials Technologies 2017" virtual issue)

[ Abstract | Full Text PDF | Supplemental Materials | doi:10.1002/admt.201700223 | Impact Factor: 4.6 ]