Modelling the crop water and irrigation requirements using CROPWAT model: a case study in arid and semi-arid regions of Pakistan

Water is a key factor in global food security, which is critical to agriculture. Dwindling water resources and increasing food demands require greater efficiency in water use, particularly in arid and semi-arid regions. Regulated deficit irrigation provides a means of reducing water consumption while minimizing adverse effects on yield. Models can play a useful role in developing practical recommendations for optimizing crop production under water-scarce conditions. Therefore, the current study was conducted to estimate crop water requirements (CWRs), net irrigation requirements (NIRs), and effective rainfall (Peff) for wheat crop in arid (Bahawalpur) and semi-arid regions (Faisalabad) of Pakistan. Precipitation and temperature data predictions are derived from four pre-validated Coupled Model of the Intercomparison Project Phase 5 (CMIP5) of Global Climate Models (GCMs), namely i) MIROC5, ii) IPSL-CM5A_MR, iii) NorESM1-M and iv) CCSM4. Model data, including the geo-coordinates of the area, temperatures, relative humidity, solar radiation/sunshine hours, crop evapotranspiration and soil data, have been used as input to CROPWAT for simulation of CWR, NIR and Peff in a historical period (1986-2005) and four consecutive future time series (2020-2039, 2040-2059, 2060-2079 and 2080-2099). The results showed that during the wheat growing season, CWR and NIR continued to increase. By the end of the 21st century, the CWR in semi-arid and arid areas of representative concentrated pathways (RCPs 4.5 and 8.5) increased by 3.01-6.86% and 2.46-5.64%, respectively. By 2099, under RCPs 4.5 and 8.5, the NIR in semi-arid and arid areas will increase by 5.49-10% and 2.41-5.86%, respectively. In the semi-arid and arid areas, the average seasonal Peff will be reduced by 9.79% (RCP 4.5), 10.07% (RCP 8.5), 2.81% (RCP 4.5), and 3.16% (RCP 8.5), respectively. Therefore, semi-arid areas will be more affected than arid areas, and changes in climatic conditions will threaten the agricultural system by reducing Peff.

Authors

Institutions

Publication Details

Journal
Journal of Food and Agricultural Technology Research
Published
2025-09-23
DOI
https://doi.org/10.69501/8xr02r74
Primary Topic
Efficiency Analysis Using DEA
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modelling the crop water and irrigation requirements using CROPWAT model: a case study in arid and semi-arid regions of Pakistan

Fahad Rasheed, Sadam Hussain, Nuzba Shaheen, Hamayun Shaheen et al.
Journal of Food and Agricultural Technology Research
Efficiency Analysis Using DEA
article

Modelling the crop water and irrigation requirements using CROPWAT model: a case study in arid and semi-arid regions of Pakistan

Fahad Rasheed, Sadam Hussain, Nuzba Shaheen, Hamayun Shaheen, Muhammad Arif Goheer, Muhammad Adnan, Aftab Ahmad Khan
article en

Abstract

Water is a key factor in global food security, which is critical to agriculture. Dwindling water resources and increasing food demands require greater efficiency in water use, particularly in arid and semi-arid regions. Regulated deficit irrigation provides a means of reducing water consumption while minimizing adverse effects on yield. Models can play a useful role in developing practical recommendations for optimizing crop production under water-scarce conditions. Therefore, the current study was conducted to estimate crop water requirements (CWRs), net irrigation requirements (NIRs), and effective rainfall (Peff) for wheat crop in arid (Bahawalpur) and semi-arid regions (Faisalabad) of Pakistan. Precipitation and temperature data predictions are derived from four pre-validated Coupled Model of the Intercomparison Project Phase 5 (CMIP5) of Global Climate Models (GCMs), namely i) MIROC5, ii) IPSL-CM5A_MR, iii) NorESM1-M and iv) CCSM4. Model data, including the geo-coordinates of the area, temperatures, relative humidity, solar radiation/sunshine hours, crop evapotranspiration and soil data, have been used as input to CROPWAT for simulation of CWR, NIR and Peff in a historical period (1986-2005) and four consecutive future time series (2020-2039, 2040-2059, 2060-2079 and 2080-2099). The results showed that during the wheat growing season, CWR and NIR continued to increase. By the end of the 21st century, the CWR in semi-arid and arid areas of representative concentrated pathways (RCPs 4.5 and 8.5) increased by 3.01-6.86% and 2.46-5.64%, respectively. By 2099, under RCPs 4.5 and 8.5, the NIR in semi-arid and arid areas will increase by 5.49-10% and 2.41-5.86%, respectively. In the semi-arid and arid areas, the average seasonal Peff will be reduced by 9.79% (RCP 4.5), 10.07% (RCP 8.5), 2.81% (RCP 4.5), and 3.16% (RCP 8.5), respectively. Therefore, semi-arid areas will be more affected than arid areas, and changes in climatic conditions will threaten the agricultural system by reducing Peff.

Journal of Food and Agricultural Technology ResearchVol. 4(Issue 02)
University of the Punjab (PK), University of Agriculture Faisalabad (PK)
Openalex Percentile: Top 69%
Efficiency Analysis Using DEA
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.