My current research focus is evaluating crop growth and yield response to regulated deficit irrigation. Specifically my research covers many areas, including quantification and estimation of evapotranspiration, deficit irrigation management and water balance, infrared thermometry and canopy temperature measurement methods, and other ground-based remote sensing methods. I also have expertise in hydrologic and crop modeling, as well as numerical sensitivity analysis methods. I grew up on an irrigated farm in south-central Nebraska and enjoy the opportunity to use my skills to develop methods to help farmers.
DeJonge, K.C., S. Taghvaeian, T.J. Trout. . Comparison of canopy temperature-based water stress indices for maize.
DeJonge, K.C., M. Ahmadi, J.C. Ascough II, K.D. Kinzli. Sensitivity analysis of sensor accuracy for the ASCE Standardized Evapotranspiration Equation.
Kinzli, K.D., D. Gensler, K.C. DeJonge , R. Oad, N. Shafike. Validation of a decision support system for improving irrigation system performance. Journal of Irrigation and Drainage Engineering
Taghvaeian, S., L.H. Comas, K.C. DeJonge, T.J. Trout. 2014. Conventional and simplified canopy temperature indices predict water stress in sunflower. Agricultural Water Management. 144: 69-80. DOI 10.1016/j.agwat.2014.06.003
Ahmadi, M., J.C. Ascough II, K.C. DeJonge , M. Arabi. 2014. Multisite-multivariable sensitivity analysis of distributed watershed models: enhancing the perceptions from computationally frugal methods. Ecological Modelling. 279: 54-67. DOI 10.1016/j.ecolmodel.2014.02.013
McMaster, G.S., J.C. Ascough II, D.A. Edmunds, L.E. Wagner, F.A. Fox, K.C. DeJonge , N.C. Hansen. 2014. Simulating unstressed crop development and growth using the Unified Plant Growth Model(UPGM). Environmental Modeling and Assessment. p.1-18. DOI 10.1007/s10666-014-9402-x
Taghvaeian, S., J.L. Chávez, W.C. Bausch, K.C. DeJonge , T.J. Trout. 2014. Minimizing instrumentation requirement for estimating crop water stress index and transpiration of maize. Irrigation Science. 32(1):53-65. DOI 10.1007/s00271-013-0415-z.
DeJonge K.C., J.C. Ascough II, A.A. Andales, N.C. Hansen, L.A. Garcia, M. Arabi. 2012. Improving evapotranspiration simulations in the CERES-Maize model under limited irrigation. Agricultural Water Management. 115: 92-103. DOI 10.1016/j.agwat.2012.08.013
DeJonge K.C., J.C. Ascough II, M. Ahmadi, A.A. Andales, and M. Arabi. 2012. Global sensitivity analysis of a dynamic agroecosystem model under different irrigation treatments. Ecological Modelling. 231: 113-125. DOI 10.1016/j.ecolmodel.2012.01.024
DeJonge K.C., A.A. Andales, J.C. Ascough II, and N.C. Hansen. 2011. Modeling of full and limited irrigation scenarios for corn in a semiarid environment. Transactions of the ASABE. 54(2): 481-492. DOI 10.13031/2013.36451
Ascough II, J.C., A.A. Andales, L.A. Sherrod, G.S. McMaster, N.C. Hansen, K.C. DeJonge , E.M. Fathelrahman, L.R. Ahuja, G.A. Peterson, and D.L. Hoag. 2009. Simulating landscape catena effects in no-till dryland agroecosystems using GPFARM. Agricultural Systems. 103(8): 569-584. DOI 10.1016/j.agsy.2010.06.005
Thorp, K.R., K.C. DeJonge , A.L. Kaleita, W. D. Batchelor, and J.O. Paz. 2008. Methodology for the use of DSSAT models for precision agriculture decision support. Computers and Electronics in Agriculture. 64(2): 276-285. DOI 10.1016/j.compag.2008.05.022
Thorp, K.R., W.D. Batchelor, J.O. Paz, A.L. Kaleita, and K.C. DeJonge . 2007. Using cross validation to evaluate CERES-Maize yield simulations within a decision support system for precision agriculture. Transactions of the ASABE. 50(4): 1467-1479. DOI 10.13031/2013.23605
K. C. DeJonge, A. L. Kaleita, and K. R. Thorp. 2007. Simulating the effects of spatially variable irrigation on corn yields, costs, and revenue in Iowa. Agricultural Water Management. 92(1-2): 99-109. DOI 10.1016/j.agwat.2007.05.008