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Showing 2 results for Golshan

M. H. Fooladi, A. Golshan Tafti,
Volume 7, Issue 1 (spring 2003)
Abstract

Dehydration of Mazafati Rutab is a method to prevent its spoilage. Dehydration is necessary for Mazafati Rutab because it contains too much moisture. If the moisture content of Mazafati Rutab is decreased properly, it need not be stored under refrigeration. The present study was carried out in an attempt to decrease the moisture content in order to increase the shelf life of Mazafati dates. Samples were dehydrated in a drying room at different drying times and 50-55 oC. The moisture content and quality characteristics of Mazafati dates such as acidity and sensory evaluation (texture, flavour and overall acceptability) were determined at 3-hour intervals and also drying curve of the fruit was drawn. Relative humidity in the drying room was 10-15%. During the drying process, the acidity content gradually increased due to the activity of microorganisms but organoleptic properties decreased especially affer 12 hours of drying time and at moisture levels less than 22%. Finally, drying time of 9-12 hours and acceptable moisture content of 22% were recommended. Dates with over 22% moisture levels are an easy target for microbial attack but the desirable quality of the fruit decreases at moisture levels below 22%.
S. Shiukhy Soqanloo, S. Golshan, M. Khoshravesh,
Volume 22, Issue 4 (Winter 2019)
Abstract

The effects of climate change can be released from the surface to the soil depth, thereby affecting soil thermal regime. Thermal energy in the soil plays a very important role in causing climate changes. In this study, for the assessment and detection of  the climate changes, soil depths temperature, the measured data related to the  daily air temperature at a height of 2 meters (screen) during the years (1951-2014), and the soil depths daily temperature (5-10-20-30-50 to 100 cm), for 3, 9 and 15 hours, were obtained during a period (1992-2014) in Shahrud station. The climate change detection was employed to compare the treatment mean. As well, for detection of trends related to the annual, seasonal and monthly time series and their relation to the soil depths temperature, parametric methods (regression analysis and Pearson) and nonparametric (Mann-Kendall, Spearman) were applied. The results showed that the soil temperature was increased in all months except January, February and March. Also, in the seasonal time series, the soil depths temperature was increased in all seasons except winter. In fact, based on the results, the soil temperature in spring, summer and autumn was increased. Detection trends of the annual soil depths temperature showed that, except for the Pearson correlation coefficient method, soil temperature was increased at all soil depths.


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