The Effect of Foliar Application of Magnetic Water and Nano-Fertilizers on Phytochemical and Yield Characteristics of Fennel

Environmental factors, especially nutrients, can influence the production of medicinal plants. Thus, the present study assessed the response of some morphological and physiological characteristics of fennel ecotypes to the foliar application (magnetic water, organic and chemical fertilizers). The study was a factorial experiment based on the randomized complete block design, with three replications and 25 treatments at the research farm of the Agricultural and Natural Resources Research and Education Center of West Azerbaijan province, Iran, in the spring and summer of two consecutive years, 2014–2015 and 2015–2016. The first factor was assigned to fennel landraces (Gaziantep, Hamedan, Urmia, Yazd, and Shiraz) and the second factor to the foliar application (nitrogen nano-fertilizer, magnetic water, urea, chicken manure, and the control). Results showed that interaction of fertilizer treatment and landrace increased fresh and dry weight, biological yield, and seed yield significantly. In the first year, the highest fresh weight (166 g) and dry weight (35.5 g) were observed in the Gaziantep landrace fertilized with chicken manure. The highest anethole and fenchone contents (81.75% and 7.92%, respectively) were observed in the landraces treated with chicken manure. Based on the percentages, the Urmia landrace had the highest anethole percentage (83.2%), and the Shiraz landrace had the lowest one (77.5%). The highest fenchone contents (9.61%) and the lowest (2.18%) were observed in the Yazd and Urmia landraces. Due to the positive effect of application of chicken manure on improving the studied traits of fennel, it is recommended to include chicken manure inputs to enhance the efficiency of crops, reduce environmental pollution, and move toward sustainable agriculture.

Genetic algorithms for optimizing stepped spillways to maximize energy dissipation

Stepped spillways are important water-management structures that are used for energy dissipation. Use of these spillways has increased in recent decades, they can reduce construction time and they are effective for reducing the flow's downstream kinetic energy. In this study, the width and height of the steps as well as the slope and height of the overflow spillway were considered as variables. Due to the large number of variables, non-linearity of the objective function and constraints, and the lack of an explicit relationship between decision variables, a genetic algorithm (GA) was used. A stepped spillway with optimal dimensions was proposed as a replacement of the smooth spillway of Sarogh Dam located in West Azerbaijan province, Iran. The proposed steps increase energy dissipation; for constant discharge and varying slopes, the changes in the optimal height of the steps were insignificant. Sensitivity analysis using the objective function showed that the relative energy dissipation for a constant discharge is independent of the optimal height of the steps and decreases with increasing spillway slope. In addition, for fixed slopes, increasing the flow rate leads to a decrease in relative energy dissipation and an increase in the optimal height of the steps.

On The Effect of Preprocessing Techniques For Evapotranspiration Estimation Using Soft Computing Methods

Implementing a reliable computational model for predicting the reference evapotranspiration (ET0) process is essential for several agricultural and hydrological applications, especially for the rural water resource systems, water use allocations, utilization and demand assessments, and the management of irrigation systems. In this research, two artificial intelligence (AI) models, artificial neural network (ANN) and model tree (MT), were investigated for modelling ET0. To validate model performance, five climatic stations such as Urmia, Mahabad, Takab, Khoy, and sardasht in West Azerbaijan Province of Iran. In the next step and to improve the model's accuracy, a novel preprocessing algorithm, ensemble empirical mode decomposition (EEMD), was coupled with those AI models to remove the trends or noise in the time series dataset. The extracted results indicated that the EEMD-MT model for all five stations outperformed other standalone and hybrid models.

Salinity-Based Spatial Evaluation of Groundwater Quality for Agricultural Use

The Miandoab Plain has the largest water reserve in the province of West Azerbaijan, northwest Iran. Groundwater resources along with surface-water meet the needs of urban, industrial, and agricultural sectors, and therefore, their quality should be examined. Water quality indices are useful tools for aquifer management. In this research, the groundwater quality of the Miandoab Plain for agricultural purposes was investigated. For this purpose, the concentrations of the ions Mg2+, Ca2+, Na+, Hco3-, So42-, Cl- and the pH level were measured. The indices effective salinity and potential salinity as well as sodium adsorption ratio and electrical conductivity were analyzed to evaluate the salinity. The geostatistical analysis was performed using the GS+ software, and the zoning maps of salinity hazard were prepared using ArcGIS. To prepare the maps, EC, ES, PS, and SAR as well as Mg2+, Ca2+, Na+, Hco3-, So42, and Cl- were selected based on the semi-variogram values ​​and cross-validation technique. The Cl- map was considered as the basis for preparing the groundwater quality maps of the region. The results showed that the groundwater quality in the east of the plain is suitable, in the central part can be recommended under constant supervision, and in the west is unsuitable for agriculture. In other words, according to the geography of the plain, the recharge area is the low-risk part of the plain and the salinity hazard increases toward the discharge area. The results can pave the way for the relevant organizations to plan for the agricultural and environmental sectors.

Phylogenetic relationships amongst the snake-eyed lizards of the genus Ablepharus Fitzinger, 1823 (Sauria, Scincidae) in the Iranian Plateau based on mtDNA sequences

We recovered molecular phylogenetic relationships amongst species of the genus Ablepharus in Iran and Iraq. Partial sequences of three mitochondrial genes (cytochrome C oxidase subunit I – COI, 12S rRNA and 16S rRNA) were analysed. In addition, phylogenetic relationships and taxonomic evaluation of Ablepharus species in Cyprus, India, Greece, Turkey and Syria were performed using partial sequences of the 16S rRNA gene. Phylogenetic trees and estimated genetic distances showed that the Ablepharus populations of Iran and Iraq clustered into three distinct clades. One is found in northwest Iran (A. bivittatus in Ardabil, East and West Azerbaijan and Hamedan Provinces). The second clade, formed by A. chernovi, is found only in Uromia. The third and most heterogeneous clade is divided into two subclades, the first includes two lineages of Ablepharus in Khorasan Razavi and Semnan Provinces (A. pannonicus) and in eastern and south-eastern Iran (A. grayanus); the second subclade is distributed in the eastern part of Iraq and west and south-western Iran (Ablepharus sp.). Our analyses indicated that splitting of A. chernovi within the genus occurred in the early Miocene [about 22.5 million years ago (Mya)]. Ablepharus bivittatus diverged 15.2 Mya, in the middle Miocene. Ablepharus pannonicus diverged in the late Miocene (8.4 Mya) and A. grayanus separated in the late Miocene (6.7 Mya). The lineages of eastern Iraq and south-western Iran (Ablepharus sp.) diverged also in the late Miocene (7.0 Mya).

Phylogenetic and molecular analysis based on genes 16S-rRNA, OMPA and POMP to identify Chlamydia abortus infection occurrence at the milk samples of goats and sheep in west Azerbaijan of Iran

Background and Objectives: Enzootic abortion in sheep and goats, also called ovine enzootic abortion (OEA) or enzootic abortion of ewes (EAE), is caused by Chlamydia abortus. The disease has a major economic impact as it represents the most important cause of lamb loss in sheep in parts of Europe, North America and Africa. This serious and potentially life-threat- ening zoonosis can also affect pregnant women after contact with lambing ewes, leading to severe febrile illness in pregnancy and loss of the foetus. Materials and Methods: The present study was conducted to the Phylogenetic and Molecular Analysis based on Genes 16S-rRNA, OmpA and POMP of C. abortus in milk samples collected from sheep and goats in West Azerbaijan province, Iran. During 2018, a total number of 360 milk samples were collected from sheep (n = 180) and goats (n = 180) of different regions of the province. All milk samples were subjected to DNA extraction and examined by PCR. Results: Among 360 milk samples collected from sheep and goats, 31 (8.611%; 95% CI=6.13-11.96) were positive for Chlamydia spp. The helicase, 16S-rRNA and ompA genes were examined and resulted in 8, 31, 31 of positive samples re- spectively. The accession numbers have been deposited in GenBank (NCBI) (MT367602 and MT367603). Conclusion: Phylogenetic analysis based on the gene of helicase showed that most of the isolates shared similarity > 99.97%.

Assessing Substances Abuse-Induced Mortality Rates by Autopsy Method in Iran

Background: Substance abuse is among the main causes of preventable diseases and premature deaths worldwide. Despite legal efforts to prevent substance abuse, it has increased and imposed significant economic costs on societies. This analytical cross-sectional study aimed to explore the rate of substance abuse-induced mortality in the provinces of Iran, in 2017. We elaborated an evaluation structure to identify nationwide different substance abuse-related mortality rates. Methods: We employed the retrospective data extracted from autopsy, forensic medicine examination, and demographic characteristics from the recordings in the Iranian Legal Medicine Organization (ILMO). Stata and ArcGIS were applied for data analysis. Results: Nationwide, 3089 substance abuse-related deaths were recorded in the ILMO; the incidence rate was 38.17 per million subjects. The deaths mostly occurred in the 30-39 age group and males accounted for 90% of cases. The provinces of Kermanshah, Lorestan, Fars, Hamadan, and Semnan reported significantly higher rates, compared with the provinces of Mazandaran, West-Azerbaijan, and Golestan with the lowest mortality rates per million (74.72, 69.81, 63.42, 61.70, 58.53 vs. 10.82, 12.11, 14.30, respectively). Mortality rates due to the abuse of methadone (20.29), morphine (12.34), amphetamine (5.32), methamphetamine (7.05), codeine (4.21), tramadol (5.96), benzodiazepine (1.47), and diphenoxylate (0.05) were calculated per million populations of Iran. Conclusion: The obtained data suggested that preventive interventions should focus on the 20-40 age group. Methadone, morphine, and methamphetamine were associated with the highest mortality, compared to other substances; thus, they require effective treatment and preventive programs. Iranian Drug Control Headquarters, police department, and policymakers should act more efficiently regarding a preventive strategic plan in this respect.