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2019
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tom 41
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nr 09
EN
Plant growth and yield are influenced by various environmental stresses, especially drought. An experiment was done to study the comparative effects of water stress on growth, physiology and antioxidant systems in three Salvia nemorosa L. cultivars (‘Isfahan’, ‘Violet Queen’ and ‘Rose Queen’). The cultivars were treated as control or water stress by stopping irrigation for 10 days. The results showed that the highest number of leaves per plant, leaf area, dry weight of root and shoot and total biomass were obtained from native cultivar ‘Isfahan’ under water shortage. Relative water content, chlorophyll a, b and total chlorophyll reduced in all studied cultivars under drought; but the rate of reduction was the lowest in ‘Isfahan’. Drought stress increased total soluble sugar in the root and leaf tissues in all cultivars and the highest values were obtained from native cultivar ‘Isfahan’. Drought stress also increased proline content, total phenols and flavonoids in all tested cultivars; but the rate of increase in ‘Isfahan’ was higher than the other cultivars. The activities of catalase and peroxidase enzymes enhanced in all cultivars under drought stress conditions; however, their activities were higher in ‘Isfahan’ than the other cultivars. Among the cultivars studied, it was found that ‘Isfahan’ was more tolerant which was revealed by physiological and biochemical characteristics.
EN
This paper describes a particle-size distribution (PSD) curve fitting software for analyzing the soil PSD and soil physical properties. A better characterization of soil texture can be obtained by describing the soil PSD using mathematical models. The mathematical equations of soil PSD are mainly used as a basis to estimate the soil hydraulic properties. Until now, many attempts are made to represent PSD curves using mathematical models, but selecting the best PSD model requires fitting all models to the PSD data, which would be difficult and time-consuming. So far, no specific program has been developed to fit the PSD models to the experimental data. A practical user-friendly software called "PSD Curve Fitting Software" was developed and introduced to program a simultaneous fitting of all models on soil PSD data of all samples. Some of the capabilities of this software are calculating evaluation statistics for all models and soils and their statistical properties such as average, standard deviation, minimum and maximum for all models, the amount of models’ fitting parameters and their statistical properties for all soil samples, soil water retention curve by Arya and Paris (1981) and Meskini-Vishkaee et al. (2014) methods, soil hydraulic conductivity by Arya et al. (1999) method, different textural and hydraulic properties, specific surface area, and other descriptive statistics of PSD for all soil samples. All calculated parameters are presented in an output Excel file format by the software. The software runs under Windows XP/7/8/10.
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