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United States Department of Agriculture

Agricultural Research Service

Related Topics

Kendall DeJonge
Water Management Systems Research
Agricultural Engineering

Phone: (970) 492-7417
Fax: (970) 492-7408
Room S-320

2150 CENTER AVENUE
BLDG D, STE 320
FORT COLLINS , CO 80526

Projects
A Tool for Monitoring and Managing Water Stress in Corn
General Cooperative Agreement (A)
  Accession Number: 429293
Management Strategies to Sustain Irrigated Agriculture with Limited Water Supplies
Appropriated (D)
  Accession Number: 422671

Publications (Clicking on the reprint icon Reprint Icon will take you to the publication reprint.)
Estimating maize water stress by standard deviation of canopy temperature in thermal imagery -
Han, M., Zhang, H., DeJonge, K.C., Comas, L.H., Trout, T. 2016. Estimating maize water stress by standard deviation of canopy temperature in thermal imagery. Agricultural Water Management. 177, 400-409.
Evaluation of thermal remote sensing indices to estimate crop evapotranspiration coefficients -
Kullberg, E.G., DeJonge, K.C., Chavez, J.L. 2016. Evaluation of thermal remote sensing indices to estimate crop evapotranspiration coefficients. Agricultural Water Management. doi: 10.1016/j.agwat.2016.07.007.
Assessing corn water stress using spectral reflectance -
DeJonge, K.C., Mefford, B.S., Chavez, J.L. 2016. Assessing corn water stress using spectral reflectance. International Journal of Remote Sensing. 37:10, 2294-2312, doi:10.1080/01431161.2016.1171929.
Electron transport, pep carboxylase activity, and maximal net co2 assimilation exhibit coordinated and proportional decline with loss of hydraulic conductance during water stress in Zea mays -
Gleason, S.M., Wiggans, D.R., Bliss, C.A., Comas, L.H., Cooper, M.S., DeJonge, K.C., Young, J.S., Zhang, H. 2016. Electron transport, pep carboxylase activity, and maximal net co2 assimilation exhibit coordinated and proportional decline with loss of hydraulic conductance during water stress in Zea mays. American Society of Plant Biologists. 25th Western Photosynthesis Conference.
Infrared thermometry of water-stressed crops - emerging methods and technologies -
SEBAL-A: A remote sensing ET algorithm that accounts for advection with limited data. Part II: Test for transferability Reprint Icon -
Mkhwanazi, M., Chavez, J., Andales, A., DeJonge, K.C. 2015. SEBAL-A: A remote sensing ET algorithm that accounts for advection with limited data. Part II: Test for transferability. Remote Sensing. Remote Sens. 2015, 7(11), 15068-15081; doi:10.3390/rs71115068.
Physiological failures in Zea mays during water-stress: opportunities for improvement -
Gleason, S.M., Wiggans, D.R., Comas, L.H., DeJonge, K.C., Young, J.S., Zhang, H. 2015. Physiological failures in Zea mays during water-stress: opportunities for improvement. American Society of Agronomy Meetings. Synergy in Science. 129:2.
Comparison of canopy temperature-based water stress indices for maize Reprint Icon -
DeJonge, K.C., Taghvaeian, S., Trout, T.J., Comas, L.H. 2015. Comparison of canopy temperature-based water stress indices for maize. Agricultural Water Management. 156 (2015) 51-62.
Infrared thermometry and stress monitoring of corn, and sensitivity analysis of reference evapotranspiration to sensor accuracy -
Dejonge, K.C. 2015. Infrared thermometry and stress monitoring of corn, and sensitivity analysis of reference evapotranspiration to sensor accuracy. Meeting Abstract. Colorado State University, Soil and Crop Sciences Departmental Seminar, Fort Collins, CO. Feb 12, 2015
Evaluation of Water Stress Coefficient Methods to Estimate Actual Corn Evapotranspiration in Colorado -
Kullberg, E.G., Chavez, J.L., Dejonge, K.C. 2015. Evaluation of Water Stress Coefficient Methods to Estimate Actual Corn Evapotranspiration in Colorado. Meeting Abstract.
A new DSSAT-CSM evapotranspiration module: ASCE standardized reference evapotranspiration with dual crop coefficient -
Does deficit irrigation of field crops increase water use efficiency -
Trout, T.J., Dejonge, K.C. 2015. Deficit Irrigation of field crops does not increase water use efficiency. Proceedings article for the joint ASABE/IA Irrigation Symposium, Long Beach, CA Nov 10-12, 2015 (ASABE) none.
Soil variability effects on canopy temperature in a limited irrigation experiment -
Sensitivity analysis of reference evapotranspiration to sensor accuracy Reprint Icon -
DeJonge, K.C., Ahmadi, M., Ascough II, J.C., Kinzli, K.C. 2014. Sensitivity analysis of reference evapotranspiration to sensor accuracy. Computers and Electronics in Agriculture. 110 (2015) 176-186.
Limited Irrigation Research Projects in Northern Colorado -
DeJonge, K.C. 2014. Limited Irrigation Research Projects in Northern Colorado. Meeting Abstract. Oklahoma State University. October 2, 2014
Validation of a decision support system for improving irrigation system performance -
Kinzli, K.C., Gensler, D., DeJonge, K.C., Oad, R., Shafike, N. 2014. Validation of a decision support system for improving irrigation system performance. Journal of Irrigation and Drainage Engineering. 04014067-1.DOI: 10.1061/(ASCE)IR.1943-4774.0000829.
Improved Evapotranspiration Simulation In the CERES-Maize Crop Model Under Limited Irrigation Management -
Dejonge, K.C. 2014. Improved Evapotranspiration Simulation In the CERES-Maize Crop Model Under Limited Irrigation Management. ASA-CSSA-SSSA Annual Meeting Abstracts.
Conventional and simplified canopy temperature indices predict water stress in sunflower Reprint Icon -
Taghvaeian, S., Comas, L.H., DeJonge, K.C., Trout, T.J. 2014. Conventional and simplified canopy temperature indices predict water stress in sunflower. Agricultural Water Management. 144:69-80 http://dx.doi.org/10.1016/j.agwat.2014.06.003.
Ground-based thermal and multispectral imaging of limited irrigation crops -
Dejonge, K.C. 2014. Ground-based thermal and multispectral imaging of limited irrigation crops. Proceedings of the World Environmental and Water Resources Congress Conference.
Multisite-multivariable sensitivity analysis of distributed watershed models: enhancing the perceptions from computationally frugal methods -
Ahmadi, M., Ascough II, J.C., DeJonge, K.C., Arabi, M. 2014. Multisite-multivariable sensitivity analysis of distributed watershed models: enhancing the perceptions from computationally frugal methods. Ecological Modeling. 279:54–67.
Simulating unstressed crop development and growth using the Unified Plant Growth Model (UPGM) -
McMaster, G.S., Ascough II, J.C., Edmunds, D.A., Wagner, L.E., Fox, F.A., Dejonge, K.C., Hansen, N.C. 2014. Simulating unstressed crop development and growth using the Unified Plant Growth Model (UPGM). Environmental Modeling and Assessment. 19(5):407-424. DOI:10.1007/s10666-014-9402-x.
Minimizing instrumentation requirement for estimating crop water stress index and transpiration of maize -
Taghvaeian, S., Chavez, J.L., Bausch, W., Dejonge, K.C., Trout, T.J. 2013. Minimizing instrumentation requirement for estimating crop water stress index and transpiration of maize. Irrigation Science. 32:53-65.
Sensitivity and uncertainty of input sensor accuracy for grass-based reference evapotranspiration -
DeJonge, K.C., Ahmadi, M., Ascough II, J.C., Kinzli, K. 2013. Sensitivity and uncertainty of input sensor accuracy for grass-based reference evapotranspiration. Meeting Abstract. Nov 3-6, 2013 Tampa Florida ASA-SSSA-CSSSA Meeting.
Contrasting strategies of water use: seasonal root growth and soil water depletion in maize and sunflower under deficit irrigation -
Comas, L.H., Trout, T.J., Dejonge, K.C. 2013. Contrasting strategies of water use: seasonal root growth and soil water depletion in maize and sunflower under deficit irrigation. ASA-CSSA-SSSA Annual Meeting Abstracts. Annual Tri-Society meetings (ASA-CSSA-SSSA), Tampa, FL Nov 3-6, 2013.
Ground-Based Remote Sensing of Water-Stressed Crops: Thermal and Multispectral Imaging -
DeJonge, K.C., Taghvaeian, S. 2013. Ground-Based Remote Sensing of Water-Stressed Crops: Thermal and Multispectral Imaging. USCID International Conference. Denver, CO October 14-18, 2013.
Remote sensing for evaluating crop water stress at field scale using infrared thermography: Potentials and limitations -
Taghvaeian, S., Chavez, J., Altenhofen, J., Trout, T.J., Dejonge, K.C. 2013. Remote sensing for evaluating crop water stress at field scale using infrared thermography: Potentials and limitations. Meeting Proceedings. Hydrology Days, Colorado State University, Fort Collins, CO March 25-27, 2013
Improving evapotranspiration simulations under water stress with the CERES-Maize crop model -
DeJonge, K.C. 2012. Improving evapotranspiration simulations under water stress with the CERES-Maize crop model. Agricultural Water Management. May 20-24, 2012
Addressing water scarcity through limited irrigation cropping: Field experiments and modeling -
DeJonge, K.C., Hansen, N.C., Andales, A.A. 2012. Addressing water scarcity through limited irrigation cropping: Field experiments and modeling. Meeting Abstract. Colorado State University, GRAD 592 Water Resources Seminar Fort Collins, CO. October 15, 2012
Improving evapotranspiration simulations in the CERES-maize model under limited irrigation Reprint Icon -
DeJonge, K.C., Ascough II, J.C., Andales, A.A., Hansen, N.C., Garcia, L.A., Ababi, M. 2012. Improving evapotranspiration simulations in the CERES-maize model under limited irrigation. Agricultural Water Management (2012), pp. 92-103.
Improving evapotranspiration simulations in the CERES-Maize model under limited irrigation -
DeJonge, K.C. 2012. Improving evapotranspiration simulations in the CERES-Maize model under limited irrigation. Meeting Abstract. Nov 11-13, 2012 Lincoln Ne.
Improved Evapotranspiration Simulation In the CERES-Maize Crop Model Under Limited Irrigation Management -
DeJonge, K.C. 2012. Improved Evapotranspiration Simulation In the CERES-Maize Crop Model Under Limited Irrigation Management. American Society of Agronomy Meetings.
Global sensitivity analysis of a dynamic agroecosystem model under different irrigation treatments -
DeJonge, K.C., Ascough II, J.C., Ahmadi, M., Andales, A.A., Arabi, M. 2012. Global sensitivity analysis of a dynamic agroecosystem model under different irrigation treatments. Ecological Modeling. 231(2012):113-125.
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Last Modified: 5/2/2016
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