Advisor : Deshmukh., M. M.Authors : GARDE, VAIBHAV ,BABASAHEB.2021-12-122021-12-122022-10-04Citation : GARDE VAIBHAV BABASAHEB. (2021). Calibration and validation of AquaCrop model for irrigated chilli crop. Department of Irrigation and Drainage Engg., Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola. M. Tech. 2021. Print. xiv 66p. (Unpublished).https://krishikosh.egranth.ac.in/handle/1/5810179094Description : The present investigation was conducted at Department of Irrigation and Drainage Engg., Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola during the year 2020-2021 to calibrate and validate AquaCrop model for Irrigated Chilli and to verify the field result with that of validated model.Abstract : Predicting attainable yield under water limiting condition is an important goal in rainfed agriculture. Proper irrigation planning is not only essential for water saving, but also for yield enhancement and it is only possible when an accurate and reliable decision-making tool has been adopted. AquaCrop is one of the models extensively used for irrigation plaining purposes. To evaluate its performance, a study entitled ‘Calibration and Validation of AquaCrop model for irrigated chilli crop’ was undertaken, with objective to calibrate and validate this AquaCrop model and also to verify the field results with the simulated outputs. Experimental study on chilli crop was carried out during 2014-15, 2015-16 and 2016-17. AquaCrop model was calibrated using chilli production data for the period 21st July 2014 to 19th January 2015. The harvest index was observed as 77 % for the chilli whereas, water productivity were 18 g/m2. Thus, validation was carried out without any further adjustment to the calibrated parameters. The model validated for the period 21st July 2015 to 19th January 2016. Two statistical parameters i.e. root mean square error (RMSE) and Nash Sutcliffe coefficient of efficiency (R2Ns) were used as performance indicator. Results indicated that both statistical parameters were in acceptable limit for both calibration and validation period. Using calibrated model different irrigation schedules were tested for the year 2016-17 and it was found that S1 (80 % ET with PM) irrigation schedule was best as compare to other irrigation schedule in terms of yield and water saving.EnglishThesis