Other subject about saffron
Seeboyeh Aghamohamadi; abbas khashei; Ali Shahidi; Sayyed Reza Hashemi
Abstract
Climate changes and phenomena such as drought are effective in the yield of agricultural products. Replacing crisis management with risk management is one of the solutions for these phenomena. With risk assessment before crisis, the amount of damages will be reduced to the minimum amount. In this research, ...
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Climate changes and phenomena such as drought are effective in the yield of agricultural products. Replacing crisis management with risk management is one of the solutions for these phenomena. With risk assessment before crisis, the amount of damages will be reduced to the minimum amount. In this research, the risk assessment of drought by Monte Carlo method will be used in order to reduce the damages caused by drought as a natural and uncontrollable phenomenon on saffron product. The monthly Standardized Precipitation Index (SPI) of drought and the monthly average temperature are calculated as independent variables in the yield distribution function. The relationship between independent variables (temperature and SPI) and dependent variable (saffron yield) is established using Artificial Neural Network (ANN). After that, 2000 random data from independent variables are generated using MATLAB and 2000 simulated yields generated by a trained artificial neural network. Then, the cumulative distribution of the simulated yields are determined and these yields are standardized in order to unification of the yield data of each city. The risk factor is calculated by choosing a reference station and using the cumulative distribution. The relative risks of the stations are considered after drawing the diagram of Yield-Risk standard factor. The results of the research show that most of the studied years are in normal range and the drought frequency in the four stations of Khorasan Jonoobi province is twice the stations in Khorasan Razavi. Furthermore, the artificial neural network with a correlation coefficient of 0.85 could predict the yield of the product very well. The similarity of the cumulative distribution diagram of the real yield with the cumulative distribution of the yields simulated by Monte Carlo indicates that the results are correct. At the end The results of this research show that Ghayen has the highest relative risk compared to the reference station (Torbat-e- Heydariyeh) and Nehbandan has the lowest one.
Agriculture
Abbas Khashei Siuki; Mohsen Ahmadee; Sayyed Reza Hashemi; Amin Chaalaak
Abstract
Saffron (Crocus sativus L.) is a subtropical and valuable crop which is reproduced by corms. Due to the importance of corm weight in saffron yield, it is important to study the different factors that affect yield such as drought stress. For this purpose, this research was conducted as a factorial design ...
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Saffron (Crocus sativus L.) is a subtropical and valuable crop which is reproduced by corms. Due to the importance of corm weight in saffron yield, it is important to study the different factors that affect yield such as drought stress. For this purpose, this research was conducted as a factorial design based on completely randomized design (CRD) in the Agricultural Research Station of the University of Birjand during the period 2013-2015. The treatments consisted of Zeolite at four rates (0: Z0, 0.5: Z1, 1: Z2 and 2: Z3 as weight percentage) and irrigation management at three levels (traditional: I1, deficit irrigation as 70% moisture depletion: I2 and full irrigation: I3) with three replications. The results showed that zeolite rates has a significant effect on corm weight, number of corms less than 2gr, number of 6-8gr corms and number of replacement corms (P≤0.01). Irrigation management also has a significant effect on corm weight (P≤0.01), number of corms 6-8gr and number of replacement corms (P≤0.05). The treatments with no zeolite amended (Z0I1, Z0I2 and Z0I3) showed a reduction in corm weight compared to Z3I3 (P≤0.05). Z3I3, Z3I2 and Z3I3 showed an increase in the number of replacement corms while Z0I1 and Z0I2 had the least number of replacement corms. In conclusion, Z2I1 is recommended as the best treatment by considering the reduction in zeolite and water used, which increased corm weight by 26.64%, 23.88% and 17.81% compared to Z0I1, Z0I2 and Z0I3, respectively.
