Drought threatens saffron production
Gholamreza Miri economic correspondent in an interview with the saffron exports in the first quarter and added: Customs export statistics are month to month, but so far only statistics we have presented April and we went a few days ago that
said A few days of May and June to provide statistics.
He added: Zahrabhs export your normal routine, but I guess the export process is done due to issues such as currency fluctuations. Miri continued like saffron sold in dollars are not going to risk it because the risk is too high.
Stating that another recession slowed the export of saffron Said the recession is not only in our country and in all countries the situation there right now. Miri said. So usually buy those industrial act But those who are purchasing for use in decorative and fancy trying their basic needs come first, then come back saffron.
Stating that the price of saffron in a couple of months and fortunately there was not much changes and fluctuations, continued: We have between 300 to 400 dollars a day we had Slippage But over the past couple of months, weeks or days that swings between 10 to 30 thousand USD That can be said is normal. The going price is $ 250 Red Gold 4 million to 5 million 400 thousand USD.
Vice Chairman of the National Council of saffron in relation to the problems that manufacturers face said: I know what a drought, water scarcity and drought in some areas there are water tank farms and farmers should occur, this may affect the production.
Miri said: But the joy is that if the amount of loss caused by our manufacturing efficiency, Increasing the area of the ship that has already been done in about 20 provinces would be possible to reduce up the slack.
He said that from now on will not produce the predicted added: Saffron with other products may vary as not all products are seen on the ground or in trees But if you just go on a saffron farm soils can not see anything but
Because Pyazmhsvl underground and in October began to sprout, so it is too early to predict the status of the production.
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