Marwa, M.A.; El-Shafie, A.F.; Dewedar, O.M.; Molina-Martinez, J.M.; Ragab, R.
ORCID: https://orcid.org/0000-0003-2887-7616.
2020
Predicting the water requirement, soil moisture distribution, yield, water productivity of peas and impact of climate change using SALTMED model.
Plant Archives, 20 (Suppl. 1).
3673-3689.
Abstract
It’s important to study the effect of climate change on crops and water supplies, during this critical period of water scarcity
and increasing food demand. These changes include evapotranspiration, which will affect crop growth and water requirement.
This research work explores the impacts of climate change on water requirements, soil moisture distribution, yield and water
productivity of peas. Two consecutive field trials were conducted during the 2017 and 2018 growth seasons of peas in El
Nubaria zone, Egypt, on sandy soil conditions. Two irrigation schedules were studied, the first is irrigation at 30% depletion
of field capacity, FC, the second schedule irrigation used actual weather station data under drip irrigation system. Under both
irrigation schedules, measured and observed data were used for calibration and validation of the SALTMED model. The
model was tested to study the impact of the future scenarios (RCPs, 4.5 and 8.5) for 2040, on water requirements, soil moisture
content, yield and water productivity of peas, for the same study conditions. The field data indicated there was a high
uniformity of soil moisture distribution under the 30% depletion of FC irrigation schedule, compared with the irrigation
schedule using weather station data, for both seasons. The highest yield was (2.7 and 3.3 t ha-1) for 2017 and 2018 seasons,
respectively, under the 30% depletion of FC irrigation schedule. The highest water productivity was (0.95 and 1.07 kg m-3)
with total applied of water (2840 and 3070 m3 ha-1) for 2017 and 2018 seasons, respectively, with irrigation at 30% depletion of
FC. The calibration and validation of SALTMED model indicated there were a slight variations between the observed and
simulated results, with high coefficients of determination, RMCE and CRM values for total dry matter, productivity, water
productivity and soil moisture under both irrigation schedules and for both seasons. The predicted data using SALTMED
model showed the crop water requirements will increase for RCPs, 4.5 and 8.5 scenarios of 2040. The predicted yield and
water productivity tend to decrease in 2040 under both scenarios. In general, SALTMED model is a good tool for predicting
total dry matter and yield and can run with different scenarios and under different conditions.
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