iran isone of the main pistachiogrowersinthe world. kerman province is the largest grower of pistachio and sirjan is one of the most important pistachio production areas of kerman province. it is important to the study of efficiency status of pistachio growers and improvetheir efficiency and optimum use of resources in the production. the purpose of this study was to determinationtechnical effi...

some small gabbro patches emplaced along the thrust fault with w-e trend in the vicinity of maien bolagh village at the ht/mp metapelites, a part of the central iran zone (near to sanandaj-sirjan zone). the coarse-grained dark gabbro samples consist of amphibole, clinopyroxene, plagioclase, minor quartz, titanite, and biotite. gabbros have high potassic calc-alkaline to shoshonitic affinity. th...

the infant feeding practices and the effects of factors such as mother’s educational level, primary health care, and family income on these practices in 531 households with 930 children 6-60 months of age were studied in rural areas of sirjan (kerman province), iran. the findings indicate that the majority of mothers (85%) breastfeed their infants and 86% of babies are fed the colostrums. the a...

Background & Aims: Licorice (Glycyrrhia glabra L.) is an important herbal medicine that its root extract has long been used for the treatment of various diseases. The essential component of its root is glycyrrhizin. This study was performed to determine the percentage of the extract and glycyrrhizin content of the roots of Glycyrrhiz glabra grown in different areas of Kerman province and some s...

Marbles containing high-pressure mineral assemblage was found from the Sanandaj-Sirjan metamorphic belt in the Nahavand area in western Iran.  The high-pressure marbles occur as small bodies or lenses within pelitic schist layers and show compositional banding of carbonate- and silicate- rich bands.  Textural analysis revealed two metamorphic stages.  The early stage is testified by relicts of ...

Accurate prediction of soil temperature (Ts) is critical for efficient soil, water and field crop management. In this study, hourly Ts variations at 5, 10, 30 cm depth were predicted an arid site (Sirjan) a semi-humid (Sanandaj) in Iran. Existing machine learning models have high performance, but suffer from uncertainty instability prediction. Therefore, GLUE approach was implemented to quantif...