03/29/2025

12/19/2025

Attalah, S., Elsadek, E. A., Waller, P., Hunsaker, D. J., Thorp, K. R., Bautista, E., Williams, C., Wall, G. W., Orr, E. & Elshikha, D. E. M. (2025). Evaluation and Comparison of OpenET Models for Estimating Soil Water Depletion of Irrigated Alfalfa in Arizona. Agricultural Water Management, 320, 1 November 2025, 109850. https://doi.org/10.1016/j.agwat.2025.109850 

Bhatti, S., D. M. Heeren, S. A. O’Shaughnessy, C. M. U. Neale. J. LaRue, S. Melvin, E. Wilkening, and G. Bai. (2023) Toward automated irrigation management with integrated crop water stress index & spatial soil water balance. Precision Agriculture. https://doi.org/10.1007/s11119-023-10038-4

Colaizzi, P. D., O’Shaughnessy, S. A., Evett, S. R., Marek, G. W., Brauer, D., Copeland, K. S., & Ruthardt, B. B. (2023). Data quality control for infrared thermometers viewing crops. Appl. Eng. Agric. 39(4): 427-438. https://doi.org/10.13031/aea.15642.  

Colaizzi, P. D., Marek, G. W., Evett, S. R., Copeland, K. S., & Ruthardt, B. B. (2025) Algorithms to process weighing lysimeter data. Journal of the ASABE (in press). https://doi.org/10.13031/ja.16404

Evett, Steven R.; Copeland, Karen S.; Ruthardt, Brice B.; Marek, Gary W.; Colaizzi, Paul D.; Howell, Terry A., Sr.; Brauer, David K. (2022a). Standard quality controlled research weather data - USDA-ARS, Bushland, Texas. USDA ARS NAL Ag Data Commons. https://doi.org/10.15482/USDA.ADC/1526433

Evett, S.R., Marek, G.W., Copeland, K.S., Howell, T.A. Sr., Colaizzi, P.D., Brauer, D.K. (2022b). Weighing Lysimeter Data for The Bushland, Texas, Cotton Datasets. Ag Data Commons. Dataset. https://doi.org/10.15482/USDA.ADC/25114670.v1

Evett, S.R., Marek, G.W., Copeland, K.S., Howell, T.A. Sr., Colaizzi, P.D., Brauer, D.K. (2023a). Agronomic Calendars for the Bushland, Texas Cotton Datasets. Ag Data Commons. Dataset. https://doi.org/10.15482/USDA.ADC/1529368

Evett, S.R., Marek, G.W., Copeland, K.S., Howell, T.A. Sr., Colaizzi, P.D., Brauer, D.K. (2023b). Growth and Yield Data for the Bushland, Texas, Cotton Datasets. Ag Data Commons. Dataset. https://doi.org/10.15482/USDA.ADC/1529408

Evett, S. R., Marek, G. W., Colaizzi, P. D., Copeland, K. S., & Ruthardt, B. B. (2024a). Spreadsheet for lysimeter data analysis, Bushland, Texas. Ag Data Commons. Software. https://doi.org/10.15482/USDA.ADC/26898151.v1 https://doi.org/10.15482/USDA.ADC/26898151.v1

Evett, S.R., Marek, G.W., Copeland, K.S., Howell, T.A., Colaizzi, P.D., Ruthardt, B.B. (2024b). Weighing lysimeter data for the Bushland, Texas, sorghum datasets. Ag Data Commons. https://doi.org/10.15482/USDA.ADC/25114610.v1. https://doi.org/10.15482/USDA.ADC/25114610.v1

Evett, S. R., Colaizzi, P. D., Marek, G. W., Copeland, K. S., & Ruthardt, B. B. (2025a). Analysis and quality control of weighing lysimeter water storage data, Agricultural Water Management, 317,2025,109674, https://doi.org/10.1016/j.agwat.2025.109674

Evett, S. R., Marek, G. W., Colaizzi, P. D., Copeland, K. S., Ruthardt, B. B. & Howell, T. A. Sr. (2025b). The Bushland, Texas, maize evapotranspiration, growth, and yield dataset Collection. Sci Data 12, 209 (2025). https://doi.org/10.1038/s41597-025-04539-2

Kimball, Bruce A., Kelly R. Thorp, Kenneth J. Boote, Claudio Stockle, Andrew E. Suyker, Steven R. Evett, et al. (2023). Simulation of evapotranspiration and yield of maize: An Inter-comparison among 41 maize models, Agricultural and Forest Meteorology, Volume 333, 2023, 109396, ISSN 0168-1923, https://doi.org/10.1016/j.agrformet.2023.109396.

Marek, G.W., Evett, S.R., Marek, T.H., Porter, D.O., Schwartz, R.C. 2023. Field evaluation of conventional and downhole TDR soil water sensors for irrigation scheduling in a clay loam soil. Applied Engineering in Agriculture. 39(5):495-507. https://doi.org/10.13031/aea.15574

Nand, V., Qi, Z. Ma, L., Helmers, M. J., Madramootoo, C. A., Smith, W. N., Zhang, T., Weber, T. K. D., Pattey, E., Li, A., Wang, J., Jin, V. L., Jiang, Q., Tenuta, M., Trout, T. J., Cheng, H., Harmel, R. D., Kimball, B. A., Thorp, K. R., Boote, K. J., Stockle, C., Suyker, A. E., Evett, S. R., Brauer, D. K., Coyle, G. G., Copeland, K. S., Marek, G. W., Colaizzi, P. D., Acutis, M., Alimagham, A. M., Archontoulis, S., Babacar, F., Barcza, Z., Basso, B., Bertuzzi, P., Constantin, J., Migliorati, M. D. A., Dumont, B., Durand, J.-L., Fodor, N., Gaiser, T., Garofalo, P., Gayler, S., Giglio, L., Grant, R., Guan, K., Hoogenboom, G., Kim, S.-H., Kisekka, I., Lizaso, J., Masia, S., Meng, H., Mereu, V., Mukhtar, A., Perego, A., Peng, B., Priesack, E., Shelia, V., Snyder, R., Soltani, A., Spano, D., Srivastava, A., Thomson, A., Timlin, D., Trabucco, A., Webber, H., Willaume, M., Williams, K., van der Laan, M., Ventrella, D., Viswanathan, M., Xu, X., Zhou, W, 2025. Evaluation of multimodel averaging approaches for ensembling evapotranspiration and yield simulations from maize models, Journal of Hydrology, 2025, 133631, https://doi.org/10.1016/j.jhydrol.2025.133631

O'Shaughnessy, S.A., Colaizzi, P.D. (2023a). Improving water productivity in cotton using mobile drip irrigation technology. Pp. 16-25 In Managing Limited Groundwater and Surface Water Supplies to Meet Irrigation Demands - Proceedings of the U.S. Committee on Irrigation and Drainage Conference, October 17-20, 2023, Ft. Collins, Colorado. US Committee on Irrigation and Drainage. https://www.uscid.org/_files/ugd/9996e6_4aa59ee97cfa4569ad02521d61b0a2b0.pdf

O'Shaughnessy, S.A., Colaizzi, P.D., Bednarz, C.W. (2023b). Sensor feedback system enables automated deficit irrigation scheduling for cotton. Frontiers in Plant Science. 14:1-14. https://doi.org/10.3389/fpls.2023.1149424.

Leiva Soto, A., Shrestha, R.,Xue, Q., Colaizzi, P., O’Shaughnessy, S., Workneh, F., Adhikari, R., & Rush, C. (2024). Evaluation of three irrigation application systems for watermelon production in the Texas High Plains. Agronomy Journal, 116 (5), 2535-2550. https://doi.org/10.1002/agj2.21653

Schwartz, R. C., Witt, T. W., Ulloa, M., Colaizzi, P. D., & Baumhardt, R. L. (2024). Irrigation response, water use, and lint yield of upland cotton cultivars. Journal of the ASABE. 67(2):421-437. https://doi.org/10.13031/ja.15868

Stöckle, C. O., Liu, M., Kadam, S. A., Evett, S. R., Marek, G. W., & Colaizzi, P. D. (2025). Comparing evapotranspiration estimations using crop model-data fusion and satellite data-based models with lysimetric observations: Implications for irrigation scheduling. Agri. Water Manage. 311, 109372. https://doi.org/10.1016/j.agwat.2025.109372

Subedi, S., Kechchour, A., Kantar, M., Sharma, V., & Runck, B. C. (2025). Can gridded real-time weather data match direct ground observations for irrigation decision-support? Agrosystems Geosciences and Environment, 8(2).  doi: 10.1002/agg2.70100

Webber, H., Cooke, D., Wang, C., Martre, P., Asseng, S., Ewert, F., Kimball, B., Hoogenboom, G., Evett, S., Chanzy, A., Garrigues, S., Olioso, A., Copeland, K.S., Steiner, J.L., Cammarano, D., Chen, Y., Crépeau, M., Ferrise, R., Manceau, L., Gaiser, T., Gao, Y., Gayler, S., Guarin, J.R., Hunt, T., Jégo, G., Padovan, G., Pattey, E., Ripoche, D., Rodríguez, A., Ruiz-Ramos, M.,, Shelia, V., Srivastava, A.K., Supit, I., Tao, F., Thorpe, K., Viswanathan, M., Weber, T. , White, J. (2025). Wheat crop models underestimate drought stress in semi-arid and Mediterranean environments. Field Crops Research, 332, 2025, 110032, https://doi.org/10.1016/j.fcr.2025.110032.

Shrestha, R., S Thapa, Q Xue, J Bell, R Aiken, K Jessup, C Naylor, William Rooney, Thomas Marek. 2025. Biomass yield and water‐use efficiency in photoperiod‐sensitive sorghum genotypes in the US Southern Great Plains. Agrosystems, Geosciences & Environment, 8 (3), e70172.

Shrestha, R., Q Xue, AL Soto, G Ganjegunte, SS Palmate, VN Chaganti, S Kumar, A L Ulery, S Zapata. 2025. Plant Traits in Spring and Winter Canola Genotypes Under Salinity. Agronomy 15 (7), 1657. 

Zhang, L., G Bai, SR Evett, PD Colaizzi, Q Xue, G Marek, R Dhungel, H Zhao, N Wan, X Lin. 2025. Increased irrigation could mitigate future warming-induced maize yield losses in the Ogallala Aquifer. Communications Earth & Environment 6 (1), 483.

Shrestha, R, Q Xue, A Leiva Soto, G Ganjegunte, SS Palmate, VN Chaganti, S Kumar, AL Ulery, RP Flynn, S Zapata. 2025. Seedling emergence in winter and spring canola genotypes under salinity stress. Crop Science 65 (2), e70011. 

Ajaz, A, TA Berthold, Q Xue, S Jain, B Masasi, Q Saddique. 2024. Free weather forecast and open-source crop modeling for scientific irrigation scheduling: proof of concept. Irrigation Science 42 (2), 179-195.

Verdi, A., Singh, A., Sapkota, A.,  Ghodsi, S. (2024). Assessing The impact of water conservation on cooling potential of two turfgrass species. Journal of the ASABE. 67(3): 749-759.

Iradukunda, J.C., Verdi, A. (2024). Evaluating the Tradeoffs Between Water Conservation, Aesthetic Value, Evaporative Cooling and CO2 Emissions in St. Augustinegrass and Buffalograss. Agricultural Water Management, 305 (2024) 109117.

Adhikari, S., Dalen, M., Torrion, J. A., & Sapkota, A. (2025a) Estimating Actual Evapotranspiration of Spring Wheat for Efficient Irrigation [Abstract]. CANVAS 2025, Salt Lake City, UT. https://scisoc.confex.com/scisoc/2025am/meetingapp.cgi/Paper/166472

Adhikari, S., Dalen, M., Torrion, J. A., & Sapkota, A. (2025b) Evaluating the Impact of Irrigation Rates on Soil Respiration and Physiology of Spring Wheat [Abstract]. CANVAS 2025, Salt Lake City, UT. https://scisoc.confex.com/scisoc/2025am/meetingapp.cgi/Paper/166456

 

Emerson, L., Guan, W., Camberato, J., Dong, Y., (2024). Effects of Irrigation and Fertigation on Seedless Watermelon Yield in Southern Indiana. HortTechnology. 34(5) 604-612. 

 

Ali, N., Dong, Y., Lavely, E. (2024). Impact of irrigation scheduling on yield and water use efficiency of apples, peaches, and sweet cherries: a global meta-analysis. Agricultural Water Management. 306, 109148. 

Kelley, B., Ali, N., Dong, Y., (2025). Methods to correct temperature-induced changes of soil moisture sensors to improve accuracy. MethodX. 14, 103100. 

Rose, T., Ali, N., Dong, Y., (2025). Design and development of an IoT-based dendrometer system for real-time trunk diameter monitoring of Christmas trees. Smart Agricultural Technology. 10, 100765. 

Ali, N., Dong, Y., Rouland, G., (2025). Estimation of Deep Percolation in Agricultural Soils Utilizing a Weighing Lysimeter and Soil Moisture Sensors. Science of The Total Environment. 969, 178974. 

Wade, C., Check, J., Chilvers, M., Dong, Y., (2025). Monitoring leaf wetness dynamics in corn and soybean fields using an IoT (Internet of Things)-based monitoring system. Smart Agricultural Technology. 11, 100919. 

Kelley, B., Dong, Y., Chilvers, M., Das, N., (2025). Understanding the Impact of Irrigation Scheduling on Water Use Efficiency in Corn and Soybean Production in Humid Climate: Insights from On-Farm Demonstration. Frontiers in Agronomy. 7, 1496198. 

Rai, A., Dong, Y. (2025). A scoping review of irrigation scheduling methods in potato (Solanum tuberosum L.) production. American Journal of Potato Research. 102. 348-371. 

Rai, A., Ali, N., Dong, Y., AquaCrop modeling for sustainable potato irrigation: trade-offs between yield and crop water productivity. Frontiers in Plant Science. 16. 24099. 

Dong, Y., Tucker, S., Singh, G., Ali, N., Yazdanpanah, N., Vander Wide, J., Sears, M., (2025). Optimizing Soil Moisture Sensor Placement Through Spatial Variability Analysis in Orchards. Smart Agricultural Technology. 10. 101273.

Yzdanpanah, N., Dong, Y., (2025). Calibration and performance evaluation of Internet of Things-based soil moisture sensors under saline irrigation conditions, Smart Agricultural Technology. 12. 101451.