Evaluation of Water Use, Evapotranspiration and Water Productivity of Lentil Plant Using NIAZAB System under Conditions of Water Deficit Stress and Iron Fertilizer Application

Document Type : Research Article

Authors

1 Department of Irrigation and Soil Physics Research, Soil and Water Research Institute, Agricultural Research, Education, and Extension Organization (AREEO), Karaj, Iran.

2 Institute of Agriculture, Water, Food, and Nutraceuticals, Islamic Azad University, Lahijan, Iran.

Abstract

Background and Objectives
The NIAZAB system estimates water consumption at different levels of cultivation based on the latest scientific methods and provides macro information to regional managers. The use of the NIAZAB system in determining the actual amount of water for lentil irrigation was based on the inverse solution of the yield production function. Irrigation is essential when lentil plant is growing. Water deficit stress is one of the most important environmental stresses that can adversely affect soil properties, plant growth, and productivity of agricultural crops, including lentil. The aim of this study is to evaluate water consumption, evapotranspiration, and water productivity of lentil plant using the NIAZAB system under conditions of water deficit stress and iron fertilizer application.
Methodology
This research was conducted in Daylaman district, Siyahkal city, Guilan province of Iran in 2018 and 2019 as a split plot experiment on the basis of randomized complete block design (RCBD) with three replications. The main plots were comprised of four levels of no irrigation (rainfed, I1), irrigation until flowering stage (I2), irrigation until pod formation stage (I3), irrigation during flowering, and pod formation stage (I4).  The sub-plots consisted of 4% of iron nano-chelate fertilizer applied at flowering stage (F1), pod formation stage (F2), flowering and pod formation stages (F3) and pre-ripening stage (F4).
Results
For water consumption values, the root mean square error (RMSE) of the Tafteh, Pasquale, and Raes methods in 2018 was 24.76, 77.27 and 24.35 mm, respectively, and in 2019 it was 33.06, 62.90 and 32.23 mm, respectively. The root mean square normal error (RMSEn) in the Tafteh, Pasquale, and Raes methods was 0.11, 0.35, and 0.11 percent in 2018, respectively, and 0.17, 0.32, and 0.16 percent in 2019, respectively. In 2018, the agreement or consistency index (d) of the Tafteh, Pasquale, and Raes methods was 0.95, -0.13, and 0.95 percent, respectively, and the efficiency coefficient (EF) was 0.82, -0.78, and 0.83 percent, respectively. In 2019, the agreement or consistency index (d) of the Tafteh, Pasquale, and Raes methods was 0.88, 0.26, and 0.88 percent, respectively, and EF was 0.59, -0.47, and 0.61 percent, respectively. The coefficient of determination (r2) values ​​for water consumption in the Tafteh, Pasqualeand, and Raes methods varied between 0.74 and 0.85 over the two years. The RMSE for daily evapotranspiration of the Tafteh, Pasquale, and Raes methods was 24.9, 86.7 and 24.7 mm/day in the first year, respectively, and 34.4, 67.9 and 33.7 mm/day in the second year, respectively. In daily evapotranspiration, the RMSEn in 2018 and 2019 was 0.10 and 0.16 percent in the Tafteh method, 0.36 and 0.31 percent in the Pasquale method and 0.10 and 0.16 percent in the Raes method, respectively. The agreement or consistency index (d) for daily evapotranspiration of the Tafteh, Pasquale, and Raes methods was 0.95, -0.22, and 0.96 percent in the first year, respectively, and 0.88, 0.24, and 0.88 percent in the second year, respectively. The EF was obtained for the Tafteh, Pasquale, and Raes methods in the first year was 0.85, -0.88 and 0.85 percent, respectively and in the second year it was 0.63, -0.44 and 0.65 percent, respectively. The RMSE for water productivity and water use efficiency in 2018 was 0.08 and 0.07 mm/day in the Tafteh method, 0.27 and 0.25 mm/day in the Pasquale method, and 0.08 and 0.07 mm/day in the Raes method, respectively, while these values ​​in 2019 were 0.15 and 0.12 mm/day in the Tafteh method, 0.25 and 0.23 mm/day in the Pasquale method, and 0.14 and 0.11 mm/day in the Raes method, respectively. In water productivity, the agreement index (d) and the EF of the Tafteh method were 0.38 and 0.92 percent, respectively, in 2018, and 1.56 and 2.43 percent, respectively, in 2019. These indicators in the Pasquale method showed 1.32 and 10.82 percent in the first year and 1.60 and 9.39 percent in the second year, respectively. These two indices were 0.41 and 0.03 percent in 2018 using the Raes method, respectively, and 1.34 and 1.99 percent, respectively, in 2019. In water use efficiency, the agreement index (d) and EF in the Tafteh method were 0.34 and 0.15 percent, respectively, in 2018, and 1.276 and 1.849 percent, respectively, in 2019. These indicators in the Pasquale method showed 1.41 and 11.39 percent in the first year and 1.46 and 9.41 percent in the second year, respectively. These two indices were 0.32 and 0.14 percent in 2018 using the Raes method, respectively, and 0.98 and 1.55 percent in 2019, respectively.
Conclusion
In general, the results of the NIAZAB system showed that the Tafteh and Raes methods had numbers closer to the measured data, and these two methods in the system can be recommended as a suitable method for decision-making and estimating the water consumption of lentil plant for the study area.
Author Contributions
Conceptualization, A.A.G and A.T; methodology, A.A.G and A.T; Performing expriments and measurements, S.M.S; software, A.A.G; N.E.P; and A.T; validation, A.A.G; N.E.P; and A.T; formal analysis, A.A.G and A.T; data curation, S.M.S; writing—original draft preparation, A.A.G; writing–review and editing, A.A.G and A.T; visualization, A.A.G; supervision, S.M.S.; project administration, A.A.G; funding acquisition, All authors have read and agreed to the published version of the manuscript.
Acknowledgements
This paper is as part of MSc thesis in Islamic Azad University of Lahijan that done in collaboration with researchers from the Soil and Water Research Institute (SWRI). The authors are thankful to the Islamic Azad University of Lahijan.
Data Availability Statement
Data is available on reasonable request from the authors. 
Conflict of interest
The authors declare no conflict of interest.
Ethical considerations 
The authors avoided data fabrication, falsification, plagiarism, and misconduct.

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Main Subjects


Abdzad Gohari, A., Tafteh, A., & Ebrahimipak, N.A. (2022). Investigation of water requirement system in determining the actual amount of irrigation water of peanut plant based on inverse solution of yield function under water stress conditions. Iranian Journal of Irrigation and Drainage, 16(3), 460-471. (in Persian with English abstract)
Abdzad Gohari, A., Tafteh, A., Ebrahimipak, N.A. & Babazadeh, H. (2021). Estimation of stress coefficients, plant coefficients and yield response to water in peanut under different levels irrigation. Iranian Journal of Soil and Water Research, 52(11), 2763-2774. (in Persian with English abstract)
Ahmadi, A., Amini Dehaghi, M., Fotokian, M.H., Sedghi, M., & Mansourifar, C. (2020). The effect of drought stress on antioxidant enzyme activity and chlorophyll content of some advanced genotypes of lentil (Lens culinaris Medik). Environmental Stresses in Crop Sciences, 12(4), 1105-1116. (in Persian with English abstract)
Amiri, S., Salimi, K., & Ziaei, M. (2021). The effect of deficit irrigation on yield and water use efficiency of lentil (Lens culinaris Medik.). Environmental Stresses in Crop Sciences, 14(1), 75-83. (in Persian with English abstract)
Ebrahimipak, N. A., Tafteh, A., Abbasi, F., & Baghani, J. (2022a). Estimation of the actual amount of wheat irrigation water using the NIAZAB system and comparing with the farm measurement. Iranian Journal of Soil and Water Research, 53 (9), 2075-2092. (in Persian with English abstract)
Ebrahimipak, N., Tafteh, A., Hosseini, N. & Kaykhaei, F. (2022b). Water Requirements System. Soil and Water Research Institute, Agricultural Research Education and Extension Organization (AREEO), Iran. (http://niwr.ir). (in Persian with English abstract)
Franca, P.N.O., Faria, R.T., Carrega, W.C., Coelho, A.P., Godoy, I.J., & Palaretti, L.F. (2021). Peanut (Arachis hypogaea L.) yield under irrigation levels in off-season cultivation. Journal of the Faculty of Agricultural Sciences, 53(1), 55-67.
Ghaderi, J., Fatehi, S., Akhyani, A., & Khalkhal, K. (2025). Evaluation of nutritional status of sugar beet plant by deviation from optimum percentage (DOP) method in Semnan province (Shahroud): Results of a two-year study. Journal of Soil and Plant Science, 35(1), 15–29. (in Persian with English abstract)
Hosseini, F.S., Nezami, A., Paesa, M. & Hajmohammadnia-Ghalibaf, K. (2011). Effects of supplementary irrigation on yield and yield components of lentil (lens culinaris medik.) cultivars in Mashhad climate. Journal of water and soil. 25(3), 625-633. (in Persian with English abstract)
Jamieson, P.D., Porter, J.R. & Wilson, D.R. (1991). A test of the computer simulation model ARCWHEAT1 on wheat crops grown in New Zealand. Field Crops Research, 27, 337-350.
Kamali, B., Ramezani Etedali, H., & Sotoodehnia, A. (2016). Determining appropriate time for rainfed lentil sowing and supplementary irrigation in Qazvin’s plain using AquaCrop model .Iranian Journal of Irrigation and Drainage, 5 (10), 613-621. (in Persian with English abstract)
Khazaei, H., Subedi, M., Nickerson, M., Martnez-Villaluenga, C., Frias, J., & Vandenberg, A. (2019). Seed protein of lentil: Current status, progress, and food applications. Foods, 8, 391.
Mehraban, A. (2018). Evaluation of quality properties of lentil cultivars (Lens culinaris L.) in different sowing dates under rainfed condition. Journal of Agricultural Science and Sustainable Production. 27(4), 107-119. (in Persian with English abstract)
Nie, T., Tang, Y., Jiao, Y., Li, N., Wang, T., Du, C., Zhang, Z., Chen, P., Li, T., Sun, Z. & Zhu. S. (2022). Effects of Irrigation Schedules on Maize Yield and Water Use Efficiency under Future Climate Scenarios in Heilongjiang Province Based on the AquaCrop Model. Agronomy, 12, 810.
Raes, D. (2004). Budjet: A soil water and salt balance model. Reference Manual. Version 6.0.
Raes, D., Steduto, P., Hsiao T.C. & Fereres, E. (2017). Reference manual Aqua Crop, FAO, Land and Water Division, Rome. Italy.
Sadeghi, S.M. & Abdzad Gohari, A. (2023). Investigating irrigation management in different stages of growth on the yield and yield components of lentils under different levels of iron nano-chelate in deylaman region. Journal of Water and Soil Resources Conservation, 12 (4), 101-111. (in Persian with English abstract)
Salkhouri Ghiathund, S., Sharifi, P. & Amin Panah, H. (2018). The effect of nitrogen amount and foliar application of iron sulfate on yield and yield components of lentil under dry conditions. Applied Research of Plant Ecophysiology, 5(2), 113-133. (in Persian with English abstract)
Saremi, M., Farhadi, B., Maleki, A., & Farasati, M. (2015). Determination the crop coefficient and water requirement of lentil, using water balance method (Case study: Khorram Abad). Iranian Journal of Pulses Research, 6(2), 87-98. (in Persian with English abstract)
Tafteh, A. & Emdad, M. (2021). Determination of crop yield response factor (Ky) in deficit irrigation management at different stages of quinoa plant growth. Water Management in Agriculture, 8(2), 101-116. (in Persian with English abstract)
Tafteh, A., Babazadeh, H., Ebrahimipak, N.A. & Kaveh, F. (2014a). Optimization of irrigation water distribution using the MGA method and comparison with a linear programming method. Irrigation and Drainage, 63(5), 590-598.
Tafteh, A., Ebrahimipak. N. A., Babazadeh, H. & Kaveh, F. (2013). Evaluation of improvement of crop production functions for simulation winter wheat yields with two types of yield response factors. Journal of Agricultural Science, 5, 111-122.  (in Persian with English abstract)
Tafteh, A., Ebrahimipak. N.A., Babazadeh, H. & Kaveh, F. (2014b). Determine yield response factors of important crops by different production functions in Qazvin plain. Ecology, Environment and Conservation, 20(2), 415-422.
Tafteh, A., Egdernezhad, A., & Ebrahimipak, N.A. (2018). Evaluation of production functions to estimate rapeseed yield in different Interval times. Journal of Water and Soil Resources Conservation, 3(7), 103-112. (in Persian with English abstract)
Vafaei, M.H., Parsa, M., Nezami, A. & Ganjeali, A. (2019). Screening for drought tolerance in lentil genotypes (Lens culinaris Medik) with emphasis on comparing old and new indices of stress tolerance in order to introduce promising genotypes. Iranian Journal of Pulses Research, 10(2), 204-218. (in Persian with English abstract)
Willmott, C.J. (1982). Some comments on the evaluation of model performance. Bulletin of the American Meteorological Society, 63, 1309-1313.