Modeling soil water-salt dynamics and crop response under severely saline condition using WAVES: Searching for a target irrigation volume for saline water irrigation

Yu, Qihua; Kang, Shaozhong; Hu, Shunjun; Zhang, Lu; Zhang, Xiaotao

doi:10.1016/j.agwat.2021.107100

Cited by 20 publications

(11 citation statements)

References 59 publications

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“…Likewise, RZWQM2 integrates the DSSAT model for plant growth, but the version of DSSAT used by RZWQM2 does not include the effects of salinity (Jones et al, 2003). WAVES considers the effects of salinity on carbon assimilation by plants and water availability, and has been shown to effectively model declines in yield due to severe salinity stress (Yu et al, 2021;L. Zhang et al, 1999b).…”

Section: Feedbacks On Plant Growthmentioning

confidence: 99%

“…Likewise, RZWQM2 integrates the DSSAT model for plant growth, but the version of DSSAT used by RZWQM2 does not include the effects of salinity (Jones et al., 2003). WAVES considers the effects of salinity on carbon assimilation by plants and water availability, and has been shown to effectively model declines in yield due to severe salinity stress (Yu et al., 2021; L. Zhang et al., 1999b). Finally, SALTMED also includes equations for crop water uptake and relative yield, in which higher osmotic pressure can result in reduced water uptake by plants (Alkhasha & Al‐Omran, 2019; Chauhdary et al., 2020; Silva et al., 2012).…”

Section: Dynamical Modelsmentioning

confidence: 99%

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Review: Modeling the Effects of Salinity and Sodicity in Agricultural Systems

Kramer

Mau

2023

Water Resources Research

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Section: Feedbacks On Plant Growthmentioning

confidence: 99%

Section: Dynamical Modelsmentioning

confidence: 99%

Review: Modeling the Effects of Salinity and Sodicity in Agricultural Systems

Kramer

Mau

2023

Water Resources Research

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“…Through using big data techniques, all the above-mentioned subjects of sprinkler drip irrigation, including their historical developments and integrated application, found to be improved rapidly [87][88][89][90] . Figure 9 presents a literature bibliometric map showing its most focused topics, activeness degree, citation frequency, and topological correlations, referenced from the papers published from 2000 to 2023.…”

Section: Literature Bibliometric Investigation Of Sprinkler Drip Irri...mentioning

confidence: 99%

Collaborative operation and application influence of sprinkler drip irrigation: A systematic progress review

Liang,

Zou,

Liu

et al. 2023

International Journal of Agricultural and Biological Engineering

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Considering the high-quality requirements related to agricultural crop production, the collaborative operation and application influence of sprinkler drip irrigation is an important issue in precision agriculture. The objective of this review is to give a comprehensive demonstration focusing on the subject of collaborative operation and application influence of sprinkler drip irrigation, by using a set of comparative analysis and literature bibliometric maps, therefore the sprinkler drip irrigation quality considering actual influential factors could be determined and analyzed. This review establishes on a broad spectrum of agricultural drip irrigation performance, throughout its whole procedure of collaborative monitoring, irrigation scheduling, application efficiency, and environmental influence, covering such aspects as soil physicochemical quality, irrigation scheduling, water resource redistribution, crop productivity, tillage management, climate adaptation, and environmental monitoring, etc. This review indicates that, the irrigation efficiency and drip infiltration quality of soil field can be planned precisely and allocated reasonably by sprinkler drip irrigation, which has extraordinary infiltration capability and enables much better performance, than that of other ordinary irrigation approaches in accuracy, stability, regularity, and efficiency. Thereafter, the investigation on the collaborative operation and application influence of sprinkler drip irrigation can be used to ensure the infiltration uniformity of moisture distribution, and then the high-quality requirements of practical irrigation performance can be met, too. This systematic review facilitates the productive soil-moisture-environment management for precision irrigation and agricultural production.

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“…Modeling can be performed using hydrological models, such as Hydrus-1D [10]. These models simulate water movement and solute transport in soils, allowing researchers and farmers to predict how saline water affects soil salinity, crop growth, and yields over time [11]. Using different data for soil hydraulic properties, irrigation practices, and water quality, these models can simulate various scenarios and assess the effectiveness of different management strategies [12].…”

Section: Introductionmentioning

confidence: 99%

Modeling Irrigation of Tomatoes with Saline Water in Semi-Arid Conditions Using Hydrus-1D

Kanzari,

Šimůnek,

Daghari

et al. 2024

Land

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In arid and semi-arid regions like Tunisia, irrigation water is typically saline, posing a risk of soil and crop salinization and yield reduction. This research aims to study the combined effects of soil matric and osmotic potential stresses on tomato root water uptake. Plants were grown in pot and field experiments in loamy-clay soils and were irrigated with three different irrigation water qualities: 0, 3.5, and 7 dS/m. The Hydrus-1D model was used to simulate the combined dynamics of subsurface soil water and salts. Successful calibration and validation of the model against measured water and salt profiles enabled the examination of the combined effects of osmotic and matric potential stresses on root water uptake. Relative yields, indirectly estimated from actual and potential transpiration, indicated that the multiplicative stress response model effectively simulated the measured yields and the impact of saline water irrigation on crop yields. The experimental and modeling results provide information to aid in determining the salinity levels conducive to optimal crop growth. The findings indicate that the selected salinity levels affect tomato growth to varying degrees. Specifically, the salinity levels conducive to optimal tomato growth were between 0 and 3.5 dS/m, with a significant growth reduction above this salinity level. The gradual salinization of the root zone further evidenced this effect. The scenario considering a temperature increase of 2 °C had no significant impact on crop yields in the pot and field experiments.

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Modeling soil water-salt dynamics and crop response under severely saline condition using WAVES: Searching for a target irrigation volume for saline water irrigation

Cited by 20 publications

References 59 publications

Review: Modeling the Effects of Salinity and Sodicity in Agricultural Systems

Review: Modeling the Effects of Salinity and Sodicity in Agricultural Systems

Collaborative operation and application influence of sprinkler drip irrigation: A systematic progress review

Modeling Irrigation of Tomatoes with Saline Water in Semi-Arid Conditions Using Hydrus-1D

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