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Introducing a Suitable Strategy to Improve Wheat Properties and Water Productivity under Moisture Stress Conditions in a Sandy Loam Soil
Introducing a Suitable Strategy to Improve Wheat Properties and Water Productivity under Moisture Stress Conditions in a Sandy Loam Soil
Soil mechanical reinforcement by the fibrous roots of selected rangeland plants using a large soil-root shear apparatus
Soil mechanical reinforcement by the fibrous roots of selected rangeland plants using a large soil-root shear apparatus
Soil mechanical reinforcement by the fibrous roots of selected rangeland plants using a large soil-root shear apparatus
Solvation behavior of phenolic pollutants in aqueous solutions of imidazolium-based ionic liquids: A molecular dynamics simulations study
A signaling game model for evaluating water allocation competitiveness with information asymmetry environment, case study: Zayandehrud River Basin, Iran
A signaling game model for evaluating water allocation competitiveness with information asymmetry environment, case study: Zayandehrud River Basin, Iran
Metabolic and Transcriptomic Approaches of Chitosan and Water Stress on Polyphenolic Terpenoid Components and Gene Expression in Salvia abrotanoides (Karl.) and S. yangii
Metabolic and Transcriptomic Approaches of Chitosan and Water Stress on Polyphenolic Terpenoid Components and Gene Expression in Salvia abrotanoides (Karl.) and S. yangii
Developing a sustainable water and wastewater management plan based on water footprint in a part of a steel industry: a case of iron pellet production factory in southeastern Iran
Modeling the effect of slope aspect on temporal variation of soil water content and matric potential using different approaches by HYDRUS-1D
Modeling the effect of slope aspect on temporal variation of soil water content and matric potential using different approaches by HYDRUS-1D
Modeling the effect of slope aspect on temporal variation of soil water content and matric potential using different approaches by HYDRUS-1D
Digital mapping of soil physical and mechanical properties using machine learning at the watershed scale