Aaron Kusmec

Former Graduate Student

EDUCATION:

  • B.S., Biology, Truman State University, Aug 2014
  • Ph.D., Interdepartmental Genetics & Genomics, Iowa State University, Jul 2021

EXPERIENCE:

  • REU Program Participant, May 2013-Aug 2013
  • Post-Doctoral Research Associate, Schnable Lab, Aug 2021-Nov 2023

PUBLICATIONS (12):

* Authors contributed equally to the article
  • Zhou Y, A Kusmec, PS Schnable (2024) Genetic regulation of self-organizing azimuthal canopy orientations and their impacts on light interception in maize. Plant Cell, in press.
    [ Abstract | doi:10.1093/plcell/koae007 | PMID: 38252634 ]
  • Kusmec A, L Attigala, X Dai, S Srinivasan, CT Yeh, PS Schnable (2023) A genetic tradeoff for tolerance to moderate and severe heat stress in US hybrid maize. PLoS Genet, 19(7): e1010799.
    [ Abstract | Full Text PDF | Supplemental Materials | doi:10.1371/journal.pgen.1010799 | PMID: 37410701 | Impact Factor: 4.5 ]
  • Ni Z, S Moeinizade, A Kusmec, G Hu, L Wang, PS Schnable (2023) New insights into trait introgression with the look-ahead intercrossing strategy. G3 (Bethesda), 13(4): jkad042.
    [ Abstract | Full Text PDF | Supplemental Materials | doi:10.1093/g3journal/jkad042 | PMID: 36821776 | Impact Factor: 2.6 ]
  • Zhou Y*, A Kusmec*, SV Mirnezami*, L Attigala, S Srinivasan, T Jubery, JC Schnable, MG Salas-Fernandez, B Ganapathysubramanian, PS Schnable (2021) Identification and utilization of genetic determinants of trait measurement errors in image-based, high-throughput phenotyping. Plant Cell, 33(8): 2562-2582.
    [ Abstract | Full Text PDF | Supplemental Materials | doi:10.1093/plcell/koab134 | PMID: 34015121 | Impact Factor: 12.0 ]
  • Kusmec A, Z Zheng, SV Archontoulis, B Ganapathysubramanian, G Hu, L Wang, J Yu, PS Schnable (2021) Interdisciplinary strategies to enable data-driven plant breeding in a changing climate. One Earth, 4(3): 372-383.
    [ Abstract | Full Text PDF | doi:10.1016/j.oneear.2021.02.005 | Impact Factor: 16.2 ]
  • Kusmec A, CT Yeh, The Genomes to Fields Initiative, PS Schnable (2020) Data-driven identification of environmental variables influencing phenotypic plasticity to facilitate breeding for future climates: a case study involving grain yield of hybrid maize. SSRN, 3684755
    [ Abstract | doi:10.2139/ssrn.3684755 ]
  • Moeinizade S, A Kusmec, G Hu, L Wang, PS Schnable (2020) Multi-trait genomic selection methods for crop improvement. Genetics, 215(4): 931-945.
    [ Abstract | Full Text PDF | Supplemental Materials | doi:10.1534/genetics.120.303305 | PMID: 32482640 | Impact Factor: 3.3 ]
  • Zhou Y, S Srinivasan, SV Mirnezami, A Kusmec, Q Fu, L Attigala, MG Salas-Fernandez, B Ganapathysubramanian, PS Schnable (2019) Semiautomated feature extraction from RGB images for sorghum panicle architecture GWAS. Plant Physiol, 179(1): 24-37.
    [ Abstract | Full Text PDF | Supplemental Materials | doi:10.1104/pp.18.00974 | PMID: 30389784 | Impact Factor: 7.4 ]
  • 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: 5.6 ]
  • Kusmec A, PS Schnable (2018) FarmCPUpp: Efficient large-scale genomewide association studies. Plant Direct, 2(4): e00053.
    [ Abstract | Full Text PDF | Supplemental Materials | doi:10.1002/pld3.53 | PMID: 31245719 | Impact Factor: 3.0 ]
  • 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 | Supplemental Materials | doi:10.1038/s41477-017-0007-7 | PMID: 29150689 | Impact Factor: 18.0 | Cited 51 times ]
  • 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: 3.3 ]