| UAV-based high resolution thermal imaging for vegetation monitoring, and plant phenotyping using ICI 8640 P, FLIR Vue Pro R 640, and thermomap cameras V Sagan, M Maimaitijiang, P Sidike, K Eblimit, KT Peterson, S Hartling, ... Remote Sensing 11 (3), 330, 2019 | 256 | 2019 |
| The quest for understanding phenotypic variation via integrated approaches in the field environment D Pauli, SC Chapman, R Bart, CN Topp, CJ Lawrence-Dill, J Poland, ... Plant Physiology 172 (2), 622-634, 2016 | 149 | 2016 |
| Field-based high-throughput plant phenotyping reveals the temporal patterns of quantitative trait loci associated with stress-responsive traits in cotton D Pauli, P Andrade-Sanchez, AE Carmo-Silva, E Gazave, AN French, ... G3: Genes, Genomes, Genetics 6 (4), 865-879, 2016 | 123 | 2016 |
| Mapping of HKT1;5 Gene in Barley Using GWAS Approach and Its Implication in Salt Tolerance Mechanism KM Hazzouri, B Khraiwesh, KMA Amiri, D Pauli, T Blake, M Shahid, ... Frontiers in Plant Science 9, 156, 2018 | 103 | 2018 |
| Association mapping of agronomic QTLs in US spring barley breeding germplasm D Pauli, GJ Muehlbauer, KP Smith, B Cooper, D Hole, DE Obert, ... The Plant Genome 7 (3), plantgenome2013.11.0037, 2014 | 79 | 2014 |
| Comparing nadir and multi-angle view sensor technologies for measuring in-field plant height of upland cotton AL Thompson, KR Thorp, MM Conley, DM Elshikha, AN French, ... Remote Sensing 11 (6), 700, 2019 | 48 | 2019 |
| A minimally disruptive method for measuring water potential in planta using hydrogel nanoreporters P Jain, W Liu, S Zhu, CYY Chang, J Melkonian, FE Rockwell, D Pauli, ... Proceedings of the National Academy of Sciences 118 (23), e2008276118, 2021 | 46 | 2021 |
| Chlorophyll fluorescence imaging captures photochemical efficiency of grain sorghum (Sorghum bicolor) in a field setting MT Herritt, D Pauli, TC Mockler, AL Thompson Plant methods 16, 1-13, 2020 | 44 | 2020 |
| Investigation of the influence of leaf thickness on canopy reflectance and physiological traits in upland and Pima cotton populations D Pauli, JW White, P Andrade-Sanchez, MM Conley, J Heun, KR Thorp, ... Frontiers in plant science 8, 1405, 2017 | 40 | 2017 |
| Data-driven artificial intelligence for calibration of hyperspectral big data V Sagan, M Maimaitijiang, S Paheding, S Bhadra, N Gosselin, M Burnette, ... IEEE Transactions on Geoscience and Remote Sensing 60, 1-20, 2021 | 35 | 2021 |
| UAV-based sorghum growth monitoring: A comparative analysis of lidar and photogrammetry M Maimaitijiang, V Sagan, H Erkbol, J Adrian, M Newcomb, D LeBauer, ... ISPRS annals of the photogrammetry, remote sensing and spatial information …, 2020 | 34 | 2020 |
| Identification of malting quality QTLs in advanced generation breeding germplasm D Pauli, G Brown-Guedira, TK Blake Journal of the American Society of Brewing Chemists 73 (1), 29-40, 2015 | 24 | 2015 |
| Assessing drought and heat stress-induced changes in the cotton leaf metabolome and their relationship with hyperspectral reflectance G Melandri, KR Thorp, C Broeckling, AL Thompson, L Hinze, D Pauli Frontiers in Plant Science 12, 751868, 2021 | 21 | 2021 |
| Terra-ref, an open reference data set from high resolution genomics, phenomics, and imaging sensors D LeBauer, MA Burnette, J Demieville, N Fahlgren, AN French, R Garnett, ... | 20 | 2020 |
| Combined effects of a glycine-rich RNA-binding protein and a NAC transcription factor extend grain fill duration and improve malt barley agronomic performance B Alptekin, D Mangel, D Pauli, T Blake, J Lachowiec, T Hoogland, ... Theoretical and Applied Genetics 134, 351-366, 2021 | 19 | 2021 |
| Genome-wide association study identifies acyl-lipid metabolism candidate genes involved in the genetic control of natural variation for seed fatty acid traits in Brassica napus L. E Gazave, EE Tassone, M Baseggio, M Cryder, K Byriel, E Oblath, ... Industrial crops and products 145, 112080, 2020 | 16 | 2020 |
| Chemical variation for fiber cuticular wax levels in upland cotton (Gossypium hirsutum L.) evaluated under contrasting irrigation regimes AL Thompson, D Pauli, P Tomasi, O Yurchenko, MA Jenks, JM Dyer, ... Industrial Crops and Products 100, 153-162, 2017 | 15 | 2017 |
| Influences of the combination of high temperature and water deficit on the heritabilities and correlations of agronomic and fiber quality traits in upland cotton TA Dabbert, D Pauli, R Sheetz, MA Gore Euphytica 213 (1), 6, 2017 | 13 | 2017 |
| Multi-resolution outlier pooling for sorghum classification C Ren, J Dulay, G Rolwes, D Pauli, N Shakoor, A Stylianou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 12 | 2021 |
| Multivariate analysis of the cotton seed ionome reveals a shared genetic architecture D Pauli, G Ziegler, M Ren, MA Jenks, DJ Hunsaker, M Zhang, I Baxter, ... G3: Genes, Genomes, Genetics 8 (4), 1147-1160, 2018 | 12 | 2018 |