AbstractsAs a contributing factor to health, the trace element selenium (Se) is an essential nutrient of special interest for humans and all animals. It is estimated that 0.5 to 1 billion people worldwide suffer from Se deficiency. In spite of the important role of Se, its concentrations in soil, water and essential crops have not been studied in Iran. Therefore, the main aim of the current study was to determine the Se content of soil, water, and essential crops (rice in North, wheat in Center, date, and pistachio in South) of different regions of Iran. Sampling was performed in the North, South, and Central regions of Iran. In each selected area in the three regions, 17 samples of surface soil were collected; samples of water and essential crops were also collected at the same sampling points. Upon preliminary preparation of all samples, the Se concentrations were measured by ICP-OES Model Varian Vista-MPX. The amount of soil-Se was found to be in the range between 0.04 and 0.45 ppm in the studied areas; the Se content of soil in the central region of Iran was the highest compared to other regions (p<0.0001). The average Se concentration in irrigation water of different areas was less than 0.01 mg/L, and the mean concentrations of Se in the rice, wheat, date, and pistachio samples were 0.95, 0.74, 0.46, and 0.40 ppm, respectively. Although Se-soil and water-Se level in different regions were low, the typical levels of Se in the essential crops were relatively high.
This experiment was conducted to explore the reasons of difference between 'Zard' olive orchard with the poor vegetative growth rate and fruit set and orchard with suitable vegetative growth rate and fruit set in relation to some soil and plant factors during two seasons. Note that assumptions were based on the overall canopy greenness of the olive trees, so experimental orchards in which the planted trees showed optimum leaf greenness were considered good situations for optimum vegetative growth and productivity. Remote sensing technologies based on normalized difference vegetation index (NDVI) were employed on olive orchards, and two orchards meeting the criteria of highest amount of greenness and lowest amount of greenness were selected. Length of current-year shoot (LCYS) and fruit set were considered indicators of tree vegetative growth and productivity, respectively. Results clearly indicated a significant difference between the two selected orchards in terms of canopy volume (CV), leaf nitrogen content (N), leaf potassium content (K), silt, sand, Sodium adsorption rate (SAR), available phosphorous (P avi ), total neutralizing value (TNV), electrical conductivity (EC), chloride (Cl), and Fe variables. A stepwise regression method was used to evaluate the effects of soil and plant variables on fruit set and LCYS. According to the obtained results, the main reasons for differences between two orchards in fruit set and vegetative growth was N and K deficiencies, soil salinity, and a high percentage of silt in the soil.
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