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20171
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Subject: Soil and Water Engineering × Author: Krittika × End date: 2019 × Start date: 2017 ×
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    Simulation of Water and Nitrogen Movement under Drip irrigated Okra Crop
    (Punjab Agricultural University, Ludhiana, 2017) Krittika; Jain, A. K.
    In Indian agriculture optimum and efficient use of water and fertilizer are of great significance to enhance crop productivity. A field experiment was conducted at the research farm of department of Soil and Water Engineering, PAU, Ludhiana during March – July 2015, to determine optimum irrigation level and fertilizer dose. Simulation of water and nitrogen movement was also done using numerical model Hydrus – 2D. The experiment was laid out in randomized block design with three fertigation treatments i.e. 60% of recommended dose of fertilizer (F1), 80% of recommended dose of fertilizer (F2) and 100% of recommended dose of fertilizer (F3) in main plots. Three irrigation levels based on crop evapotranspiration i.e. 0.6 Etc (I1), 0.8 Etc (I2) and 1.0 Etc (I3) with three replications. Okra yield was maximum in I2F2 treatment (211.6 q ha-1) with an increased yield of 27.01% over traditional method. Statistical analysis revealed that there was significant effect of irrigation and fertilizer treatment and its combination on yield but the effect was not significant on plant height and plant population. The observed values of moisture content and nitrogen were simulated using Hydrus – 2D model. During calibration of moisture as well as nitrogen, the parameter Ks (saturated hydraulic conductivity) and n (fitting parameter) were found to be most sensitive in respect to the model output. The validation of model was done by comparing observed and modeled values of soil moisture and nitrogen at different depths. The average relative error during the validation of moisture content was 5% and for nitrogen was 5.66%. The model performance in simulating soil moisture and nitrogen was evaluated by comparing observed and simulated values using four parameters namely relative error, root mean square error, correlation coefficient and model efficiency. The modeled values of moisture content and available nitrogen were in good agreement with the observed values.