Technical journal articles - Haghverdi Water Management Group

Peer Reviewed Journal Publications:

[22]. Haghverdi, A., Singh, A., Sapkota, A., Ghodsi, S., Reiter, M. (accepted). Developing Irrigation Water Conservation Strategies For Hybrid Bermudagrass Using An Evapotranspiration-Based Smart Irrigation Controller In Inland Southern California. Agricultural Water Management.

[21]. Irmak, S., Sharma, V., Haghverdi, A., Jhala, A., Payero, J., Drudik, M. (2021). Maize crop coefficients under variable and fixed (uniform) rate irrigation and conventional and variable rate fertilizer management in three soil types. Agricultural Water Management 243 (2021) 106489.

[20]. Leib, B., D. Muchoki, P. Vanchiasong, M. Zheng, T. Grant, A. Haghverdi, W. Wright, D. Butler and A. Wszelaki (2020). Rainwater Harvesting with Solar and Gravity Powered Irrigation for High Tunnels. Applied Engineering in Agriculture, 36(4): 489-498; doi: 10.13031/aea.13969.

[19]. Sapkota, A*., Haghverdi, A., Avila, C.E.A., Ying, S.C. (2020). Irrigation and Greenhouse Gas Emissions: A Review of Field-Based Studies. Soil Systems. 4, 20; doi:10.3390/soilsystems4020020.

[18]. Haghverdi, A., Öztürk, H.S., Durner, W. (2020). Studying Unimodal, Bimodal, PDI and Bimodal-PDI Variants of Multiple Soil Water Retention Models: II. Evaluation of Parametric Pedotransfer Functions Against Direct Fits. Water 2020, 12, 896; doi:10.3390/w12030896.

[17]. Haghverdi, A., Najarchi, M., Öztürk, H.S., Durner, W. (2020). Studying Unimodal, Bimodal, PDI and Bimodal-PDI Variants of Multiple Soil Water Retention Models: I. Direct Model Fit Using the Extended Evaporation and Dewpoint Methods. Water 2020, 12, 900; doi:10.3390/w12030900.

[16]. Zheng, M., Leib, B., Butler, D., Wright, W., Ayers, P., Hayes, D., and Haghverdi, A. (2019). Assessing Heat Management Practices in High Tunnels to Improve the Production of Romaine Lettuce. Agriculture 2019, 9, 203; doi:10.3390/agriculture9090203.

[15]. Haghverdi, A., Leib, B., Washington-Allen, R., Wright W., Ghodsi, S., Grant, T., Zheng, M., Vanchiasong, P. (2019). Studying Crop Yield Response to Supplemental Irrigation and the Spatial Heterogeneity of Soil Physical Attributes in a Humid Region. Agriculture. 9(2), 43.

[14]. Zheng, M., Leib, B.G., Wright, W., Butler, D., Hayes, D., Ayers, P.D., Haghverdi, A., Vanchiasong, P., Muchoki, D., Grant, T., & Feng, L. (2019). Assessing heat management practices in high tunnels to improve organic production of bell peppers. Scientia Horticulturae. 246: 928–941.

[13]. Yonts, C. D., Haghverdi, A., Reichert, D. L., & Irmak, S. (2018). Deficit Irrigation and Surface Residue Cover Effects on Dry Bean Yield, In-season Soil Water Content and Irrigation Water Use Efficiency in Western Nebraska High Plains. Agricultural Water Management, 199: 138-147.

[12]. Haghverdi, A., Washington-Allen, R.A., & Leib, B.G. (2018). Prediction of Cotton Yield from Vegetation Index Phenology Using Artificial Neural Networks, Computers and Electronics in Agriculture. 152: 186-197.

[11]. Haghverdi, A., Öztürk, H.S., & Durner, W. (2018). Measurement and Estimation of the Soil Water Retention Curve Using the Evaporation Method and the Pseudo Continuous Pedotransfer Function. Journal of Hydrology. 563: 251–259.

[10]. Grant, T., Leib, B., Savoy, H., Verbree, D., Haghverdi, A. (2017). Cotton response to irrigation and nitrogen source in differing Mid-South soils. Agronomy Journal, 109(6): 1-8.

[9]. Nguyen, P., Haghverdi, A., De Pue, J., Botula, Y-D M ., Le, K. V., Waegeman, W., and Cornelis, W. M. (2017). Comparison of regression techniques in estimating soil water retention of tropical delta soils. Biosystems Engineering, 153: 12-27.

[8]. Haghverdi, A., Yonts, C. D., Reichert, D. L., & Irmak, S. (2017). Impact of irrigation, surface residue cover and plant population on sugarbeet growth and yield, irrigation water use efficiency and soil water dynamics. Agricultural Water Management, 180, 1-12.

[7]. Haghverdi, A., Leib, B. G., Washington-Allen, R. A., Buschermohle, M. J. and Ayers, P. D. (2016). Studying uniform and variable rate center pivot irrigation strategies with the aid of site specific water production functions. Computers and Electronics in Agriculture 123: 327-340.

[6]. Haghverdi, A., Leib, B. G., Ayers, P. D., and Buschermohle, M. J. (2015). High resolution prediction of soil available water content within crop root zone at field scale. Journal of Hydrology 530: 167-179.

[5]. Haghverdi, A., Leib, B. G., Washington-Allen, R. A., Ayers, P. D., and Buschermohle, M. J. (2015). Perspectives on delineating management zones for variable rate irrigation. Computers and Electronics in Agriculture 117: 154-167.

[4]. Haghverdi, A., Leib, B.G. and Cornelis, W.M. (2015). A simple non-parametric approach to predict the soil water retention curve. Transactions of the ASABE 58 (3), 697-705.

[3]. Haghverdi, A., Öztürk, H.S. and Cornelis, W.M. (2014). Revisiting the pseudo continuous pedotransfer function concept: impact of data quality and data mining method. Geoderma 226: 31-38. (IF: 2.77).

[2]. Haghverdi, A., Ghahraman, B., Leib, B.G., Pulido-Calvo, I., Kafi, M., Davary, K. and Ashorun, B. (2014). Deriving data mining and regression based water-salinity production functions for spcompag_2014.pdfring wheat (Triticum aestivum). Computers and Electronics in Agriculture 101, 68-75.

[1]. Haghverdi, A., Cornelis, W.M. and Ghahraman, B. (2012). A pseudo continuous neural network approach for developing water retention pedotransfer functions with limited data. Journal of Hydrology 442: 46-54.