Showing 9 results for Babaei
B. Najafi, A.r. Seifi, N.a. Babaeian Jelodar, A.m. Shakib,
Volume 12, Issue 43 (spring 2008)
Abstract
Sorrel (Rumex acetosa L.) is a model dioecious plant in genetic and molecular studies for sex determination. In this research, gus reporter gene transformation to leaf disks of this plant via Agrobacterium tumefaciens was evaluated based on transient expression of this gene. Three strains of Agrobacterium( LBA4404, C58 and EHA101) and two kinds of bacterial suspensions (suspension I: Agrobacterium cells were grown in LB medium with PH 7 and suspension II: the cells were resuspended in MS medium containing 100 mM acetosyringone with PH 5.2) were analyzed in a factorial experiment with 3 replications in Complete Randomized Design (CRD). Also, the effects of three different times of pre-culture of explants (0, 2 and 4 days) were examined. Results showed no significant difference among bacterial strains, whereas suspension I and explants without pre-culture had higher efficiency in gene transformation to this plant. Based on the best treatment, stable transformation with different days of cocultivation was carried out and revealed that the 4-day cocultivation is more efficient than the 2-day cocultivation in gene transformation to Sorrel. The histochemical GUS assay and PCR analysis were done on putative transgenic plants. Results showed that some of these plants contain at least one copy of the transferred gene or genes in comparison with control plants .
M Babaeian, M Haydari, A Ghanbari,
Volume 12, Issue 46 (fall 2009)
Abstract
In order to study the effects of foliar micronutrient application under water stress at three stages of growth on proline and carbohydrate concentrations, grain yield and yield components of sunflower (Alster cultivar), a field experiment in split plot design with three replications was conducted in 2007. Alster cultivar was considered under water stress at three stages of growth (heading, flowering and grain filling) as main plot and seven micronutrient treatments, Fe, Zn, Mn, Fe+Zn, Fe+Mn, Zn+Mn and Fe+Zn+Mn, as sub plots. Results showed, water stress at three stages of growth significantly decreased grain yield, biological yield, 1000 weight seeds, cap diameter and cap weight of sunflower (Alster cultivar). The impact of water stress was more pronounced when applied at grain filling. Use of foliar micronutrient increased grain yield in water stress. On the other hand, use of Mn foliar application had the highest positive effect on yield components and grain yield. Free proline and total soluble carbohydrate concentration were increased under water stress at all of the three stages of growth. The highest concentration of these two components was found on the flowering stage. Foliar micronutrient also increased accumulation of the two components.
F. Aghababaei, F. Raiesi,
Volume 15, Issue 56 (sumer 2011)
Abstract
The positive and beneficial effects of mycorrhizal symbiosis on the growth of various plants have already been documented. Most arable crops can mutually establish symbiosis with endo-mycorrhizal fungi, however, mycorrhizal associations with almond (prunus amygdalus), particularly in calcareous soils of arid and semi-arid regions, have not been studied. Thus, to realize the symbiotic association between mycorrhiza fungi and economically important native almond genotypes in Chaharmahal va Bakhtiary province, an experiment consisting of a randomized complete factorial design with three factors: almond genotypes (Mamaei, Rabee, Talkh, Sefid), soil phosphorus levels (0 and 150 kg P ha-1) and mycorrhizal treatments (almond inoculated with Glomus intraradices, Glomus mosseae and without inoculation) with three replications was conducted under greenhouse conditions by 4 months. Results showed that physiological traits including chlorophyll concentration, net photosynthetic rate and water use efficiency, were significantly increased for 20%, 300% and 300%, respectively in mycorrhizal almond plants, while transpiration rate was decreased
(8-10%). Although the genotype of almond and soil P were dependent on these factors, mycorrhiza species had the same effects. Increased available P in the soil enhanced the growth in all treatments and photosynthesis of nonmycorrhizal almonds.
M. Erfanian, S. Babaei Hessar,
Volume 18, Issue 70 (winter 2015)
Abstract
Concerning the drying problem of the Lake Urmia in Iran, so far the relevant scientific research has not been conducted based on watershed management principles. The surface solar radiation (Rs) is one of the key input parameters in most of reference evapotranspiration (ET0) prediction models. In the present research, four solar radiation models were evaluated to predict the monthly-mean values of daily ET0 at seven synoptic stations located in the Lake Urmia basin during the 1985-2005 period. For the ET0 prediction, we applied the Penman-Monteith-FAO 56 model (PMF56). At first, we evaluated four radiation models consisting of Hybrid: H, Ångström-Prescott: AP, Modified Daneshyar: MD, and Modified Sabbagh: MS. Four statistical criteria used included the mean error (ME), the mean absolute error (MAE), the root mean square error (RMSE), and the mean percentage error (MPE). The mean RMSE value of hybrid model was 1.7 MJ/m2/day while the RMSEs for the AP, the MD and the MS models were 2.9, 2.3, and 2.9 MJ /m2/day, respectively. The results revealed a higher performance of hybrid model to predict the monthly radiation. In addition, the Rs models used in the original PMF56 model were compared with a case in which the measured daily Rs data was used. Finally, by integrating the hybrid model and the PMF56, we developed a coupled model as PMF56-Hybrid. The application of the Hybrid and the MD models resulted in a decrease in the RMSEs. The AP model used in the PMF56 showed about 19% overestimation.
H. Sarmadi, E. Salehi, L. Zebardast, M. Aghababaei,
Volume 22, Issue 2 (Summer 2018)
Abstract
Since the introduction of cities and urbanization, healthy water supplement and urban wastewater treatment have been considered as an important factor to evaluate progress in the urban areas. Tehran as a megacity is facing the lack of water. Tehran water supplement is far from its area; therefore, Tehran-Karaj plain has been considered in this study. So, Tehran water quantity index using the DPSIR model (Driving force, Pressure, Status, Impact and Response) in a period of 3 years (2008-2010) was considered in this paper. Driving forces included population, urbanization, green spaces, and industries. Pressures on urban water included water consumption, water losses, rainfall and evaporation. Then, Tehran water quantity status was investigated based on the existing water in dam reservoirs and groundwater resources. Their impacts on urban area were evaluated and finally, appropriate responses were presented. Some of the presented approaches included industries transmission, improvement of water consumption pattern, improvement of the water treatment plants status and unconventional water resources reuse, identification and rearrangement of subterranean, improvement of irrigation systems operation, and reduction of Tehran urban population.
H. Babaei, N. Ghanavati, A. Nazarpour,
Volume 22, Issue 3 (Fall 2018)
Abstract
Dust particles are suspended particles created from various natural and anthropogenic sources. Dust particles contain toxic metals, such as mercury (Hg), which can have harmful effects on the human health. In this study, to investigate the contamination level of Hg in the street dust in Ahvaz, 95 dust samples were collected from the pavements in the main streets. The concentration of Hg in the collected samples was determined by the atomic absorption method (ASS). The contamination level was estimated based on indicators such as contamination factor (Cf), enrichment factor (EF), geo-accumulation index (Igeo) and ecological risk index (Er). The concentration value of mercury ranged from 0.02 to 8.75 mg/kg with an average of 2.53 mg/kg. The results of pollution indicators showed that the level of Hg contamination in the street dust of Ahvaz was a high level of contamination. In addition, the results of ecological risk assessment indicated that the ecological risk of Hg in the study area was very high. Spatial distribution pattern of Hg concentration showed that in areas with high population density, high traffic volume and industrial activities, there was a high pollution level of Hg.
A. Azough, S. K. Marashi, T. Babaeinejad,
Volume 22, Issue 3 (Fall 2018)
Abstract
The concern about the war and the threat of terrorism and weapons application and prohibited weapons is growing; on the other hand, the contamination of soil, plant and disease outbreaks in the community is increasing. The main problem with crops, especially wheat in the contaminated soils of war zones, are associated with the high concentrations of heavy metals and toxic things, especially arsenic. Zeolite is one of the solutions to the problem of contaminated soils in war affected areas. The aim of this study was to determine the effect of the ionic strength of zeolite on the adsorption of arsenic and nutritional properties of wheat in contaminated soils including weapons. The experiment was carried out in a factorial arrangement involving a randomized complete design with three replications. Treatments included four levels of zeolite 2.5 (a4), 1.5 (a3), 0.5 (a2), 0 (a1) percent of the weight of the soil and two soil recourses, one obtained from out of the war zone (without contamination) (b1) and other one was from the contaminated soil to weapons (b2). The results showed that soils contaminated by weapons increased the concentrations of arsenic in wheat. Also, with the application of Zeolite in the contaminated soil treatments, there was a significant reduction at 1% level and a remarkable increase in nitrogen, phosphorus, potassium and calcium in the wheat grain in both soils.
A. Darzi-Naftchali, S. Rafierad, M. Khoshravesh, A. Asgari, M. R. Babaei, H. Zabardast-Rostami,
Volume 23, Issue 1 (Spring 2019)
Abstract
Water is a vital source for both human and biological living. Today, water management and conservation, not only both in developing countries but also in and the developed countries ones, has is of great importance. In the traditional economy, water is not considered as a productive factor in the national accounts; however, but in reality, water is the primary factor in many direct and indirect goods and services. To evaluate the effect of growth in the added value of agriculture, industry and electricity sectors on the added value of water sector in the Mazandaran province, coefficients of ARDL model were estimated using the Micro fit software. The extended Dickey-Fuller unit root test was used for the statistical test of variables. The static test of variables showed that all variables were significant at the 95% confidence level and were also consistent with the theory. A 1% increase (decrease) in the added value of industry and electricity resulted in the increase of 0.54 % and 0.39 %, respectively, increase (decrease) in the added value of the water sector, respectively. Also, 1% increase (decrease) in the added value of the agricultural sector caused in a 0.54% increase (decrease) in the added value of the water sector. Industry and electricity sectors affected the added value of water sector more than agriculture. In the long-term, the growth of the added value of the industry sector had the greatest impact on the growth of the added value of water sector. Based on the results, controlling water use in agriculture, industry and electricity sectors increases increased the effects of the added value of these sectors on the added value of the water sector.
F. Golabkesh, A. Nazarpour, N. Ghanavati, T. Babaeinejad,
Volume 26, Issue 2 (ُSummer 2022)
Abstract
The current study aims to find the best methods of using remote sensing and supervised classification algorithms in long-term salinity monitoring of salinity changes in the Atabieh area with an area of 5000 hectares in the west of Khuzestan province. The procedure is based on the separation of different levels of saline soils utilizing information obtained from Landsat 7 and 8 satellite images (2001 to 2015) along with salinity data taken from the study area, and salinity indices including SI1, SI2, SI3, NDSI, IPVI, and VSSI. The results show the expansion of the saline zone trend in the soils of the study area, among which, soils with EC of more than 16 dS m-1 (very saline) have the highest frequency. The area of saline soils has increased significantly over the past 15 years, with a saline land area increasing by more than 90%. The percentage of salinity class is low (S1). According to this study, the only significant index in soil salinity at a 95% confidence level is the SI3 index, which has been able to have a good estimate of the increasing changes in soils in the region. The results of the supervised classification showed that the support vector machine (with an overall accuracy of 95.78 and a kappa coefficient of 0.89) is more accurate. After the vector machine method, the methods of minimum distance, maximum likelihood, and distance of Mahalanobis have the highest accuracy, respectively. Based on salinity maps obtained in years in 2001, 2005, 2010, and 2015, it can be said that the salinity rate in the whole of the study area was progressing and at the same time the salinity area in the middle and high classes increased decreased and on the other hand, the salinity area in the high class in 2001 gradually increased and distributed in 2015 throughout the region.
