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Kendall DeJonge

Research Agricultural Engineer
/ARSUserFiles/46774/Kendall in field2.jpg Dr. Kendall DeJonge
Agricultural Engineer

CONTACT INFORMATION

ADDRESS:
USDA-ARS
Water Management Research Unit
2150 Centre Avenue, Bldg D, Suite 320
Fort Collins, CO 80526

PHONE: (970) 492-7417
FAX: (970) 492-7408

E-MAIL: kendall.dejonge@ars.usda.gov

Research  Degrees  CV  Publications

Current Personnel Former Personnel


Research Interests:

I take great pride in that I grew up on an irrigated farm in south-central Nebraska, developing practical agricultural skills raising corn and cattle. I have always had an avid interest in water and irrigation, and the broad experiences in my career have developed perspective of water resources on multiple scales. Ultimately my goal is to develop practical technology that will help farmers make management decisions resulting in efficient and sustainable water use. I also enjoy working with undergraduate and graduate students, and helping to advance early careers for those interested in researching water resources and agriculture. 


Degrees:

Ph.D. Civil and Environmental Engineering (Irrigation and Drainage) 2011 Colorado State University, Fort Collins, CO
M.S. Agricultural Engineering (Water Resources) 2006 Iowa State University, Ames, IA
B.S. Agricultural Engineering (Power and Machinery) 2003 Iowa State University, Ames, IA

CV: Kendall C. DeJonge


Publications:

Katimbo, A., D.R. Rudnick, L. Weizhen, K.C. DeJonge, X. Qiao, Y. Ge, T.H. Lo, T. Franz, H. Nakabuye, J. Duan. (In Review). Two source energy balance estimated maize evapotranspiration using mobile infrared radiometric thermometers.

Trout, T.J., K.C. DeJonge. 2021. Evapotranspiration and water stress coefficient for deficit-irrigated maize. ASCE Journal of Irrigation and Drainage, 147(10). DOI 10.1061/(ASCE)IR.1943-4774.0001600

Liang, W., I. Possignolo, X. Qiao, K.C. DeJonge, S. Irmak, D. Heeren, D. Rudnick. 2021. Utilizing digital image processing and two source energy balance model for the estimation of evapotranspiration of dry edible beans in western Nebraska. Irrigation Science 39: 617-631. DOI 10.1007/s00271-021-00721-7

Lo, T.H., D.R. Rudnick, K.C. DeJonge, G. Bai, H.N. Nakabuye, A. Katimbo, Y. Ge, T.E. Franz, X. Qiao, D.M. Heeren. 2020. Maize differences in soil moisture changes and canopy temperature under varying water x nitrogen treatments. Irrigation Science, 38: 519-534. DOI 10.1007/s00271-020-00683-2

Thorp, K.R., K.C. DeJonge, G.W. Marek., S.R. Evett. 2020. Comparison of evapotranspiration methods in the DSSAT Cropping System Model: I. Global sensitivity analysis. Computers and Electronics in Agriculture, 177. DOI 10.1016/j.compag.2020.105658

Thorp, K.R., G.W. Marek, K.C. DeJonge, S.R. Evett. 2020. Comparison of evapotranspiration methods in the DSSAT Cropping System Model: II. Algorithm performance. Computers and Electronics in Agriculture, 177. DOI 10.1016/j.compag.2020.105679

DeJonge, K.C., K.R. Thorp, G.W. Marek. 2020. The apples and oranges of reference and potential evapotranspiration: Implications for agroecosystem models. Agricultural and Environmental Letters: 5(1): 1-6. DOI 10.1002/ael2.20011

Ale, S., R.D. Harmel, A.P. Nejadhashemi, K.C. DeJonge, S. Irmak, I. Chaubey, K.R. Douglas-Mankin. 2020. Global water security: current research and priorities for action. Transactions of the ASABE, 63(1): 49-55. DOI 10.13031/trans.13839

Harmel, R.D., I. Chaubey, S. Ale, A.P. Nejadhashemi, S. Irmak, K. DeJonge, S. Evett, E.M. Barnes, M. Catley-Carlson, S. Hunt, I. Mani. 2020. Perspectives on Global Water Security. Transactions of the ASABE, 63(1): 69-80. DOI 10.13031/trans.13524

DeJonge, K.C., H. Zhang, S. Taghvaeian, T.J. Trout. 2020. Canopy temperature bias from soil variability enhanced at high temperatures. Transactions of the ASABE, 63(1): 95-104. DOI 10.13031/trans.13554

Zhang, H., M. Han, L.H. Comas, K.C. DeJonge, T. J. Trout, L. Ma. 2019. Response of maize yield components to growth stage-based deficit irrigation. Agronomy Journal, 111: 1-9. DOI 10.2134/agronj2019.03.0214

Thorp, K.R., G.W. Marek, K.C. DeJonge, S.R. Evett, R.J. Lascano. 2019. Novel methodology to evaluate and compare evapotranspiration algorithms in an ecosystem model. Environmental Modelling and Software, 119: 214-227. DOI 10.1016/j.envsoft.2019.06.007

DeJonge, K.C., H. Zhang, S.M. Gleason. 2019. Simple background subtraction of thermal imagery for crop water stress detection in greenhouse. Applied Engineering in Agriculture, 35(3): 339-344. DOI 10.13031/aea.13090

Gleason, S.M., M. Cooper, D. Wiggans, C. Bliss, C. Romay, M. Gore, M. Mickelbart, C. Topp, H. Zhang, K.C. DeJonge, L. Comas. 2019. Stomatal conductance, xylem water transport, and root traits underpin improved performance under drought and well-watered conditions across a diverse panel of maize inbred lines. Field Crops Research, 234: 119-128. DOI 10.1016/j.fcr.2019.02.001

Varzi, M.M., T.J. Trout, K.C. DeJonge, R. Oad. 2019. Optimal water allocation under deficit irrigation in the context of Colorado Water Law. ASCE Journal of Irrigation and Drainage Engineering, 145(5): 05019003. DOI 10.1061/(ASCE)IR.1943-4774.0001374

Comas, L.H., T.J. Trout, K.C. DeJonge, H. Zhang, S.M. Gleason. 2019. Water productivity under strategic growth stage-based deficit irrigation in maize. Agricultural Water Management, 212: 433-440. DOI 10.1016/j.agwat.2018.07.015

Comas, L.H., T.J. Trout, G. Banks, H. Zhang, K.C. DeJonge, S.M. Gleason. 2018. USDA-ARS Colorado maize growth and development, yield and water-use under strategic timing of irrigation, 2012-2013. Data in Brief, 21: 1227-1231. DOI 10.1016/j.dib.2018.10.140

Han, M., H. Zhang, J. L. Chávez, L. Ma, K.C. DeJonge. 2018. Improved soil water deficit estimation through the integration of canopy temperature measurements into a soil water balance model. Irrigation Science, 36(3): 187-201. DOI  10.1007/s00271-018-0574-z

Trout, T.J., K.C. DeJonge. 2018. Crop water use and crop coefficients of maize in the US Great Plains. ASCE Journal of Irrigation and Drainage Engineering, 144(6). DOI 10.1061/(ASCE)IR.1943-4774.0001309

Han, M., H. Zhang, K.C. DeJonge, L.H. Comas, S.M. Gleason. 2018. Comparison of three crop water stress index models with sap flow measurements in maize. Agricultural Water Management, 203: 366-375. DOI 10.1016/j.agwat.2018.02.030

Kisekka, I., K.C. DeJonge, L. Ma, J. Paz, K. Douglas-Mankin. 2017. Crop modeling applications in agricultural water management. Transactions of the ASABE, 60(6): 1959-1964. DOI 10.13031/trans.12693

Fang, Q.X., L. Ma, T.J. Trout, L.H. Comas, K.C. DeJonge, L.R. Ahuja, L.A. Sherrod, R.W. Malone. 2017. Modeling crop N concentration and uptake for new maize hybrid under growth stage-based deficit irrigations. Transactions of the ASABE, 60(6): 2067-2081. DOI 10.13031/trans.12405

DeJonge, K.C., K.R. Thorp. 2017. Implementation of standardized reference evapotranspiration and dual crop coefficient approach in the DSSAT Cropping System Model. Transactions of the ASABE, 60(6): 1965-1981. DOI 10.13031/trans.12321

Carroll, D.A. III, N.C. Hansen, B.G. Hopkins, K.C. DeJonge. 2017. Water stress indices of maize with controlled deficit irrigation and variable nitrogen supply. Irrigation Science, 35(6): 549-560. DOI 10.1007/s00271-017-0558-4

Liang, H., Z. Qi, K.C. DeJonge, K. Hu, B. Li. 2017. Global sensitivity and uncertainty analysis of nitrate leaching and crop yield simulation under different water and nitrogen management practices. Computers and Electronics in Agriculture. 142: 201-210. DOI 10.1016/j.compag.2017.09.010

Trout, T.J., K.C. DeJonge. 2017. Water productivity of maize in the U.S. High Plains. Irrigation Science. 35(3): 251-266. DOI 10.1007/s00271-017-0540-1

Gleason, S.M., D.R. Wiggans, C.A. Bliss, L.H. Comas, M.S. Cooper, K.C. DeJonge, J.S. Young, H. Zhang. 2017. Coordinated decline in electron transport, PEP carboxylase activity, and maximal net CO2 assimilation with loss of hydraulic conductance during water stress in Zea mays. Flora. 227: 1-9. DOI 10.1016/j.flora.2016.11.017

Kullberg, E.G., K.C. DeJonge, J.L. Chávez. 2017. Evaluation of thermal remote sensing indices to estimate crop evapotranspiration coefficients. Agricultural Water Management. 179: 64-73. DOI 10.1016/j.agwat.2016.07.007

Han, M., H. Zhang, K.C. DeJonge, L. Comas, T.J. Trout. 2016. Estimating maize water stress by standard deviation of canopy temperature in thermal imagery. Agricultural Water Management. 177: 400-409. DOI 10.1016/j.agwat.2016.08.031

DeJonge, K.C., B.S. Mefford, J.L. Chávez. 2016. Assessing corn water stress using spectral reflectance. International Journal of Remote Sensing. 37(10): 2294-2312. DOI 10.1080/01431161.2016.1171929

Mkhwanazi, M., J.L. Chávez, A.A. Andales, K.C. DeJonge. 2015. SEBAL-A: A remote sensing ET algorithm that accounts for advection with limited data. Part II: Test for transferability. Remote Sensing. 7(11): 15068-15081. DOI 10.3390/rs71115068

DeJonge, K.C., S. Taghvaeian, T.J. Trout, L.H. Comas. 2015. Comparison of canopy temperature-based water stress indices for maize. Agricultural Water Management. 156: 51-62. DOI 10.1016/j.agwat.2015.03.023

DeJonge, K.C., M. Ahmadi, J.C. Ascough II, K.D. Kinzli. 2015. Sensitivity analysis of reference evapotranspiration to sensor accuracy. Computers and Electronics in Agriculture. 110: 176-186. DOI 10.1016/j.compag.2014.11.013

Kinzli, K.D., D. Gensler, K.C. DeJonge, R. Oad, N. Shafike. 2014. Validation of a decision support system for improving irrigation system performance. Journal of Irrigation and Drainage Engineering. DOI 10.1061/(ASCE)IR.1943-4774.0000829

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. 19:407-424. 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

DeJonge, K. C., 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


Currently Supervised Personnel

We are always looking to hire bright students with interest in engineering, agriculture, and water resources. Please contact us if you have an interest in working on our team and research program!

-Katie Ascough (2018-present), Engineering Aide, M.S. student at CSU in Evironmental Engineering

-Kit Bellefeuille (2021-present), Engineering Aide, B.A. student at University of Minnesota-Morris in Environmental Science


Formerly Supervised Personnel

I am proud to have supervised several bright undergraduate and graduate students (most from Colorado State University) and other professionals who have moved on to promising careers in engineering, agriculture, and other important ventures.

-Brenna Mefford (2011-2014), Water Resources Engineer, Colorado Water Conservation Board

-Caitlin Condon (2013), Ph.D. candidate at Oregon State University in Radiation Health Physics

-Keith Wakefield (2012-2014), Flood Recovery EIT for Colorado DOT

-Kayla Moden (2014), Geotechnical Engineer at Golder Associates

-Cory Arnold (2014-2015), Air Weapons Officer, United States Air Force

-Bailey Kraich (2014-2015), Project Engineer for Entact, LLC

-KaMele Sanchez (2016), Horticulturalist at Chicago Botanic Garden

-Ben Choat (2015-2016), PhD student at CSU in Environmental Engineering

-Liam Cummins (2011-2017), Assistant Division EIT, CO Division of Water Resources

-Michelle Ondrejka (2017), Civil Egineering EIT, RockSol Consulting

-Tyler Gilkerson (2017-2018), Hydrogeologist, National Parks Service

-Gerald Buchleiter (2015-2018), Retired (former Farm Manager)

-Jace Heryford (2019), CSU undergraduate in Soil and Crop Sciences

-Ross Steward (2016-2019), Farm Manager, USDA-ARS Water Management & Systems

-Horacio Garza (2015-2020), Retired, Shop Manager at CSU

-Bobby Baxter (2019), Inspection & Licensing Program Specialist, USDA-APHIS

-Garrett Banks (2015-2021), Entrepreneur