firstname.lastname@example.org, Marley 541A
- The long-term goals of my research program are to understand and utilize the genetic and functional phenotypic variation present in plant populations to responsibly address the challenges facing a growing global population including food and fiber security. The research program is composed of three separate but synergistic areas that combine to elucidate the genetic mechanisms responsible for key agronomic, quality, and stress-adaptive traits that are critical to crop production in areas prone to intense abiotic stress pressures. The first area is centered on identifying and characterizing existing genomic variation in plant populations to better understand the dynamics of phenotypic diversity. The second area concentrates on using emerging high-throughput phenotyping (HTP) technologies to quantify and record complex phenotypes that are responsive to environmental fluctuations throughout the plant’s life cycle in order to understand temporal trait expression patterns. The final area is focused on discovering allelic variants and causative genes responsible for observed phenotypic variation through the use of genetic mapping populations and statistical methods. Together, my research program’s findings are used to more efficiently develop improved crop cultivars that are capable of meeting the socioeconomic demands and environmental constraints of the future.
Chlohessy, J.W., Pauli, D., Kreher, K.M., Buckler V, E.S., Armstrong, P.R., Wu, T., Hoekenga, O.A., Jannink, J.L., Sorrells, M. E., Gore, M.A. The Plant Phenome. doi: 10.2135/tppj2018.07.0005
Pauli, D., Ziegler, G. Ren, M., Jenks, M.A., Hunsaker, D.J., Zhang, M., Baxter, I., and Gore, M.A. 2018. Multivariate Analysis of the Cotton Seed Ionome Reveals a Shared Genetic Architecture. G3:Genes|Genome|Genetics 4:1147-1160. doi: 10.1534/g3.117.300479
Hassouri, K.M., Khraiwesh, B., Amiri, H.M.A., Pauli, D., Blake, T., Shahid, M., Mullath, S.K., Nelson, D., Mansour, A.L., Salehi-Ashtiani, K., Purugganan, M., and Masmoudi, K. 2018. Mapping of the HKT1;5 Gene in Barley Using GWAS Approach and It Implication in Salt Tolerance Mechanism. Frontiers in Plant Science 9:156. doi: 10.3389/fpls.2018.00156
Pauli, D.*, White, J. W., Andrade-Sanchez, P., Conley, M.M., Heun, J., Thorp, K.R., French, A. N., Hunsaker, D. J., Carmo-Silva, A. E., Wang, G., and Gore, M. A. 2017. Investigation of the influence of leaf thickness on canopy reflectance and physiological traits in upland and Pima cotton populations. Frontiers in Plant Science 8:1405. doi: 10.3389/fpls.2017.01405
Thompson, A. L., Pauli, D., Tomasi, P., Yurchenko, O., Jenks, M. A., Dyer, J. M., and Gore, M. A. 2017. Identifying cuticular wax compounds of fiber in Upland cotton (Gossypium hirsutum L.) evaluated under different irrigation regimes. Industrial Crops and Products 100:153-162. doi:10.1016/j.indcrop.2017.02.030
Dabbert, T. A., Pauli, D., Sheetz, R., and Gore, M. A. 2016. Influences of the combination of high temperature and water deficit on the heritabilities and correlations of agronomic and fiber quality traits in upland cotton. Euphytica 213:6. doi:10.1007/s10681-016-1798-8
Pauli, D., Chapman, S. C., Bart, R., Topp, C. N., Lawrence-Dill, C. J., Poland, J., and Gore, M. A. 2016. The quest for understanding phenotypic variation via integrated approaches in the field environment. Plant Physiology 172:622-634. doi:10.1104/pp.16.00592
Pauli, D., Andrade-Sanchez, P., Carmo-Silva, A. E., Gazave, E., French, A. N., Heun, J., Hunsaker, D. J., Lipka, A. E., Setter, T. L., Strand, R. J., Thorp, K. R., Wang, S., White, J. W., and Gore, M. A. 2016. Field-based high-throughput plant phenotyping reveals the temporal patterns of quantitative trait loci associated with stress-responsive traits in cotton. G3: Genes| Genomes| Genetics 6:865-879. doi:10.1534/g3.115.023515
Pauli, D., Brown-Guedira, G., and Blake, T. 2015. Identification of Malting Quality QTLs in Advanced Generation Breeding Germplasm. Journal of the American Society of Brewing Chemists 73:29-40.
Pauli, D., Muehlbauer, G.J., Smith, K., Cooper, B., Hole, D., Obert, D. E., Ullrich, S. E., and Blake, T. 2014. Association mapping of agronomic QTLs in US spring barley breeding germplasm. The Plant Genome 7:1-15.
- PLS 415
- Crop and Horticultural Management and Production
- Environmental and Stress Biology
- Genetics and Epigenetics