| Distinct genetic architectures for phenotype means and plasticities in Zea mays A Kusmec, S Srinivasan, D Nettleton, PS Schnable Nature plants 3 (9), 715-723, 2017 | 117 | 2017 |
| Semiautomated feature extraction from RGB images for sorghum panicle architecture GWAS Y Zhou, S Srinivasan, SV Mirnezami, A Kusmec, Q Fu, L Attigala, ... Plant physiology 179 (1), 24-37, 2019 | 66 | 2019 |
| Multi-trait genomic selection methods for crop improvement S Moeinizade, A Kusmec, G Hu, L Wang, PS Schnable Genetics 215 (4), 931-945, 2020 | 61 | 2020 |
| Harnessing phenotypic plasticity to improve maize yields A Kusmec, N de Leon, PS Schnable Frontiers in Plant Science 9, 1377, 2018 | 51 | 2018 |
| Farm CPU pp: efficient large‐scale genomewide association studies A Kusmec, PS Schnable Plant Direct 2 (4), e00053, 2018 | 37 | 2018 |
| Interdisciplinary strategies to enable data-driven plant breeding in a changing climate A Kusmec, Z Zheng, S Archontoulis, B Ganapathysubramanian, G Hu, ... One Earth 4 (3), 372-383, 2021 | 27 | 2021 |
| Identification and utilization of genetic determinants of trait measurement errors in image-based, high-throughput phenotyping Y Zhou, A Kusmec, SV Mirnezami, L Attigala, S Srinivasan, TZ Jubery, ... The Plant Cell 33 (8), 2562-2582, 2021 | 10 | 2021 |
| Distinct genetic architectures for phenotype means and plasticities in Zea mays. Nat Plants 3: 715–723 A Kusmec, S Srinivasan, D Nettleton, PS Schnable | 8 | 2017 |
| FarmCPUpp: efficient large-scale genomewide association studies. Plant Direct 2: e00053 A Kusmec, PS Schnable | 5 | 2018 |
| Optimal population value selection: a population-based selection strategy for improving response in genomic selection M Goiffon, A Kusmec, L Wang, G Hu, P Schnable Genetics 206 (3), 1675-1682, 2017 | 5 | 2017 |
| A genetic tradeoff for tolerance to moderate and severe heat stress in US hybrid maize A Kusmec, L Attigala, X Dai, S Srinivasan, CTE Yeh, PS Schnable PLoS Genetics 19 (7), e1010799, 2023 | 3 | 2023 |
| Genetic regulation of self-organizing azimuthal canopy orientations and their impacts on light interception in maize Y Zhou, A Kusmec, PS Schnable The Plant Cell 36 (5), 1600-1621, 2024 | 2 | 2024 |
| New insights into trait introgression with the look-ahead intercrossing strategy Z Ni, S Moeinizade, A Kusmec, G Hu, L Wang, PS Schnable G3: Genes, Genomes, Genetics 13 (4), jkad042, 2023 | 2 | 2023 |
| Identifying Genes that Regulate Panicle Architecture of Sorghum via GWAS Coupled with Semi-Automated, High-Throughput Image Analysis Y Zhou, S Srinivasan, SV Mirnezami, AM Kusmec, MGS Fernandez, ... Plant and Animal Genome XXVI Conference (January 13-17, 2018), 2018 | 2 | 2018 |
| FarmCPUpp: Efficient Large-Scale GWAS A Kusmec, PS Schnable bioRxiv, 238832, 2017 | 2 | 2017 |
| Fusion Learning of Functional Linear Regression with Application to Genotype-by-Environment Interaction Studies S Yu, AM Kusmec, L Wang, D Nettleton Journal of Agricultural, Biological and Environmental Statistics 28 (3), 401-422, 2023 | 1 | 2023 |
| Identification and utilization of genetic determinants of trait measurement errors in image-based, high-throughput phenotyping M Salas-Fernandez, A Kusmec, S Mirnezami, L Attigala, S Srinivasan, ... | | 2021 |
| Interdisciplinary strategies to enable data-driven plant breeding in a changing climate L Wang, G Hu, S Archontoulis, B Ganapathysubramanian, J Yu | | 2021 |
| Phenotypic plasticity and breeding for future climates: Case studies in Zea mays AM Kusmec Iowa State University, 2021 | | 2021 |
| Semi-Automated Feature Extraction from RGB Images for Sorghum Panicle Architecture SV Mirnezami, B Ganapathysubramanian, Y Zhou, A Kusmec, Q Fu, ... Iowa State University Research and Demonstration Farms Progress Reports 2018 (1), 2019 | | 2019 |
