International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
Index Copernicus ICI Journals Master List 2022 - IJCMAS--ICV 2022: 95.28 For more details click here
National Academy of Agricultural Sciences (NAAS) : NAAS Score: *5.38 (2020) [Effective from January 1, 2020] For more details click here

Login as a Reviewer

See Guidelines to Authors
Current Issues
Download Publication Certificate

Original Research Articles                      Volume : 11, Issue:1, January, 2022

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : /
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2022.11(1): 123-135

Assessment of Aquacrop Model for Irrigated Cotton under Deficit Irrigation in Semi-Arid Tropics of Maharashtra
Ramkishan JadhaviD*, S. B. Jadhav, H. W. Awari, V. K. Ingle and U. M. Khodke
Department of IDE, College of Agricultural Engineering and Technology, VNMKV,
Parbhani - 431 402, M.S., India
*Corresponding author

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 planning purposes. To evaluate the performance of the model, the present experiment entitled on “Assessment of AquaCrop model for irrigated cotton under deficit irrigation in semi-arid tropics of Maharashtra’’ was carried out at Department of Irrigation and Drainage Engineering, CAET, Parbhani. The experiment was conducted in such a way that AquaCrop model was calibrated for the year 2009-2010 and it was validated for the year 2010-2011. Part of the obtained field data i.e. data for full irrigation treatment (100% ETc) for the year 2009-2010 was used for calibration of the model, while the data of 2010-2011 was used to validate the model. AquaCrop version 6.1 was used in the study. There was a close match between observed and simulated canopy cover. It was supported by high value of R2NS (0.97). Another statistical parameter CRM having value of -0.045, indicates that the model overestimates the canopy cover. The high value of Nash Sutcliffe coefficient (R2NS) value as 0.81 shows close match between observed and simulated yield. The CRM (Coefficient of Residual Mass) between observed and simulated yield was also as low as -0.060, indicating that the model overestimated the yield. Considering overall acceptability of validation results, it was concluded that the model performs well with relatively high validity.

Keywords: AquaCrop, Cotton, Harvest index

Download this article as Download

How to cite this article:

Ramkishan Jadhav, S. B. Jadhav, H. W. Awari, V. K. Ingle and Khodke, U. M. 2022. ‘‘Assessment of Aquacrop Model for Irrigated Cotton under Deficit Irrigation in Semi-Arid Tropics of Maharashtra’’.Int.J.Curr.Microbiol.App.Sci. 11(1): 123-135. doi:
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.