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Modelling of moisture movement and irrigation scheduling in drip irrigated tomato using CROPWAT and HYDRUS-1D.

Authors :
NAZIR, NUZHAT BINT
PANDEY, YOGESH
QAYOOM, SAMEERA
DADHICH, SUSHMITA M.
Source :
Journal of Agrometeorology; Jun2024, Vol. 26 Issue 2, p215-219, 5p
Publication Year :
2024

Abstract

The irrigation systems require modernization and management by evaluating water system prerequisites precisely. A study was carried out at Srinagar during kharif 2022 to determine the crop water demands, irrigation scheduling and simulation of moisture movement under different irrigation regimes on tomato crop in open field conditions using CROPWAT and HYDRUS<superscript>-1</superscript>D models. The results revealed that the average crop water requirement at 100% ET<subscript>C</subscript> per plant per day was 0.24 l plant<superscript><superscript>-1</superscript></superscript> day<superscript>-1</superscript> during the initial stage, 0.37 l plant<superscript>-1</superscript> day<superscript>-1</superscript> during development stage, 0.85 l plant<superscript>-1</superscript> day<superscript>-1</superscript> during mid-stage and 0.74 l plant<superscript>-1</superscript> day<superscript>-1</superscript> during the end stage. Soil water content was simulated by HYDRUS<superscript>-1</superscript>D model in 0 to 30 cm of soil profile. Higher values (0.86 to 0.95) of coefficient of determination (R² ) indicated that observed and simulated values of moisture content are highly correlated and the model predicts that lower values of mean absolute error (MAE) and root mean square error (RMSE) indicates that the HYDRUS<superscript>-1</superscript>D model is more accurate at simulating the movement of moisture under different irrigation regimes. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09721665
Volume :
26
Issue :
2
Database :
Complementary Index
Journal :
Journal of Agrometeorology
Publication Type :
Academic Journal
Accession number :
177889679
Full Text :
https://doi.org/10.54386/jam.v26i2.2492