Search Results - "DeJonge, Kendall C."

Comparison of canopy temperature-based water stress indices for maize by DeJonge, Kendall C., Taghvaeian, Saleh, Trout, Thomas J., Comas, Louise H.

“…•We evaluated canopy temperature on six deficit irrigation treatments of corn.•Corn canopy temperature was highly correlated with midday leaf water…”
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Conventional and simplified canopy temperature indices predict water stress in sunflower by Taghvaeian, Saleh, Comas, Louise, DeJonge, Kendall C., Trout, Thomas J.

“…•Two water stress indices were estimated based on sunflower canopy temperature.•Both indices responded to the timing and amount of deficit irrigation…”
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Global sensitivity and uncertainty analysis of a dynamic agroecosystem model under different irrigation treatments by DeJonge, Kendall C., Ascough, James C., Ahmadi, Mehdi, Andales, Allan A., Arabi, Mazdak

“…► We perform global sensitivity and uncertainty analysis of irrigation treatments using CERES-Maize. ► We use the Morris and Sobol’ global sensitivity analysis…”
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Assessing corn water stress using spectral reflectance by DeJonge, Kendall C., Mefford, Brenna S., Chávez, José L.

“…Multiple remote-sensing techniques have been developed to identify crop-water stress; however, some methods may be difficult for farmers to apply. If spectral…”
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Sensitivity analysis of reference evapotranspiration to sensor accuracy by DeJonge, Kendall C., Ahmadi, Mehdi, Ascough, James C., Kinzli, Kristoph-Dietrich

“…•Sensor inaccuracy can result in reference evapotranspiration inaccuracy.•We performed local and global (Morris and eFAST) sensitivity analysis.•Both semi-arid…”
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Minimizing instrumentation requirement for estimating crop water stress index and transpiration of maize by Taghvaeian, Saleh, José L. Chávez, Walter C. Bausch, Kendall C. DeJonge, Thomas J. Trout

“…Research was conducted in northern Colorado in 2011 to estimate the crop water stress index (CWSI) and actual transpiration (Tₐ) of maize under a range of…”
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Crop Water Use and Crop Coefficients of Maize in the Great Plains by Trout, Thomas J, DeJonge, Kendall C

“…AbstractMaize water use was measured by water balance in a 6-year field trial in the west-central Great Plains of the United States. Seasonal water use of the…”
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Evaluation of thermal remote sensing indices to estimate crop evapotranspiration coefficients by Kullberg, Emily G., DeJonge, Kendall C., Chávez, José L.

“…•Remote sensing techniques can quantify evapotranspiration of crops.•Three methods are compared to determine the basal crop coefficient.•Four thermal methods…”
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USDA-ARS Colorado maize growth and development, yield and water-use under strategic timing of irrigation, 2012–2013 by Comas, Louise H., Trout, Thomas J., Banks, Garrett T., Zhang, Huihui, DeJonge, Kendall C., Gleason, Sean M.

“…This data set was collected over two years, 2012–2013, on maize under 12 irrigation treatments with varying levels of deficit during late-vegetative and…”
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Estimating maize water stress by standard deviation of canopy temperature in thermal imagery by Han, Ming, Zhang, Huihui, DeJonge, Kendall C., Comas, Louise H., Trout, Thomas J.

“…•Evaluated canopy temperature standard deviation (CTSD) from a thermal image for crop water stress detection.•Developed a new method to extract canopy…”
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Global sensitivity and uncertainty analysis of nitrate leaching and crop yield simulation under different water and nitrogen management practices by Liang, Hao, Qi, Zhiming, DeJonge, Kendall C., Hu, Kelin, Li, Baoguo

“…•Nitrate leaching is sensitive to hydraulic and crop parameters.•Sensitivity of parameters significantly varied under different irrigation…”
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Evapotranspiration and Water Stress Coefficient for Deficit-Irrigated Maize by Trout, Thomas J, DeJonge, Kendall C

“…AbstractCrop evapotranspiration under deficit soil water conditions must be quantified to accurately manage deficit irrigation and crop water stress and…”
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Water productivity of maize in the US high plains by Trout, Thomas J., DeJonge, Kendall C.

“…Maize water production functions measured in a 4-year field trial in the US central high plains were curvilinear with 2.0 kg m −3 water productivity at full…”
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Customizing pyfao56 for evapotranspiration estimation and irrigation scheduling at the Limited Irrigation Research Farm (LIRF), Greeley, Colorado by DeJonge, Kendall C., Thorp, Kelly R., Brekel, Josh, Pokoski, Tyler, Trout, Thomas J.

“…Estimation of evapotranspiration (ET, the water used by soil evaporation and plant transpiration) and soil water depletion (Dr, the amount of water to bring…”
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Version 1.2.0 — pyfao56: FAO-56 evapotranspiration in Python by Thorp, Kelly R., Brekel, Josh, DeJonge, Kendall C.

“…The pyfao56 software package is a Python-based implementation of the standardized evapotranspiration (ET) methodologies described in Irrigation and Drainage…”
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Leaf temperature of maize and Crop Water Stress Index with variable irrigation and nitrogen supply by Carroll, David A., Hansen, Neil C., Hopkins, Bryan G., DeJonge, Kendall C.

“…Crop canopy temperature and Crop Water Stress Index (CWSI) are used for assessing plant water status and irrigation scheduling, but understanding management…”
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Optimal Water Allocation under Deficit Irrigation in the Context of Colorado Water Law by Mahmoudzadeh Varzi, Manijeh, Trout, Thomas J, DeJonge, Kendall C, Oad, Ramchand

“…AbstractThe common belief is that there are opportunities in the agricultural sector to use less irrigation water and thus make saved water available for…”
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Weather data-centric prediction of maize non-stressed canopy temperature in semi-arid climates for irrigation management by Nakabuye, Hope Njuki, Rudnick, Daran R., DeJonge, Kendall C., Ascough, Katherine, Liang, Wei-zhen, Lo, Tsz Him, Franz, Trenton E., Qiao, Xin, Katimbo, Abia, Duan, Jiaming

“…Canopy temperature ( T c ) measurements are increasingly being used to compute crop thermal indices for water stress estimation and improved irrigation…”
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Multisite-multivariable sensitivity analysis of distributed watershed models: Enhancing the perceptions from computationally frugal methods by Ahmadi, Mehdi, Ascough, James C., DeJonge, Kendall C., Arabi, Mazdak

“…•We examined 36 informal and 1 formal likelihood functions for SA of the SWAT model.•Formal lik. fcn. replicated results from 36 informal fcns. with less…”
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Wildfire and climate change amplify knowledge gaps linking mountain source-water systems and agricultural water supply in the western United States by Barnard, David M., Green, Timothy R., Mankin, Kyle R., DeJonge, Kendall C., Rhoades, Charles C., Kampf, Stephanie K., Giovando, Jeremy, Wilkins, Mike J., Mahood, Adam L., Sears, Megan G., Comas, Louise H., Gleason, Sean M., Zhang, Huihui, Fassnacht, Steven R., Harmel, R. Daren, Altenhofen, Jon

“…Agricultural production in the western United States relies on water supplies from mountain source-water systems that are sensitive to impacts from wildfire…”
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