Improving early diagnosis of urologic diseases in the Sverdlovsk Region

The governor's program 'Urology health of men' operates in the Sverdlovsk region in 2006. The EDUR conditions conducted a comprehensive survey of the male population in order to identify at an early stage andrological and oncourological diseases. In 2016 the introduction in the phase of the survey questionnaire algorithm men was an increase in the number of surveys.В Свердловской области с 2006 года действует губернаторская программа «Урологическое здоровье мужчин». В условиях ЭДУК проводится комплексное обследование мужского населения с целью выявления на ранних стадиях уроандрологических и онкоурологических заболеваний. В 2016 году благодаря внедрению в алгоритм обследования этапа анкетирования мужчин отмечено увеличение количества обследований

Making Weed Management Maps by Artificial Neural Networks for Using in Precision Agriculture

With the rise of new powerful statistical techniques and neural networks models, the development of predictive species distribution models has rapidly increased in ecology. In this research, a learning vector quantization (LVQ) and multi layer perceptron (MLP) neural network models have been employed to predict, classify and map the spatial distribution of A. repens L. density. This method was evaluated based on data of weed density counted at 550 points of a fallow field located in Faculty of Agriculture, Shahrood University of Technology, Semnan, Iran, in 2010. Some statistical tests, such as comparisions of the means, variance, statistical distribution as well as coefficient of determination in linear regression were used between the observed point sample data and the estimated weed seedling density surfaces by two neural networks to evaluate the performance of the pattern recognition method. Results showed that in the training and test phases non significant different was observed between average, variance, statistical distribution in the observed and the estimated weed density by using LVQ neural network. While this comparisions was significant except statistical distribution by using MLP neural network. In addition, results indicated that trained LVQ neural network has a high capability in predicting weed density with recognition erorr less than 0.64 percent at unsampled points. While, MLP neural network recognition erorr was less than 14.6 percent at unsampled points. The maps showed that, patchy weed distribution offers large potential for using site-specific weed control on this field

Effect of Organic and Biological Fertilizers on Growth and Yield of Tomatoes (Lycopersicon esculentum Mill.) and Bacterial Colonization

Introduction: In recent decades, excessive use of chemical fertilizers causes environmental problems such as water resource pollution and decrease in soil fertility. Organic matters are excellent sources of plant-available nutrients and their addition to soil could maintain high microbial populations and activities. In crop studies, Prabha et al. (2007) reported that there was excellent plant growth as well as yield in garlic plants that received vermicompost as nutrient in the field (28). Recent studies confirmed that, a number of bacterial species mostly associated with the plant rhizosphere, are found to be beneficial for plant growth, yield and crop quality. Therefore, the objective of this study is to investigate the growth promoting effects of organic and bio-fertilizers on tomato growth and yield. Materials and Methods: A factorial experiment in randomized complete block design with three replications was conducted at the College of Agricultural, University of Shahrood in 2011. Geographically, the site is located in Bastam (36° 25’E, 54° 58’N, 1349 m a.s.l.).The climate of this region is semi-arid. Treatments included three levels of organic fertilizers: vermicompost (1300 kgha-1), cow manure (3350 kgha-1), and control, biological fertilizer in four levels (Pseudomonas putyda, Pseudomonas fluorescens, Azotobacter chrococcum and control). The bacterial suspension for each species was applied at a rate of 3 liters per hectare. Metribuzin herbicide (wettable 80% powder) was used at a rate of 1000 gr. ha-1. Petopride No. 2' variety of tomato (Lycopersicon esculentum Mill.) was used in the present experiment. At the time of harvesting, the plant characteristics namely lengths and diameter of stem, number and weight of fruit, weight of stem and leaf were also registered. Statistical analyses of data were performed with statistical software Mstatc. Significant differences between means refer to the probability level of 0.05 by LSD test. Results and Discussion: There sults showed that main interaction effects of bio and organic fertilizers were significant (

Investigating the Effect of Ultrasonic Waves and Seed Priming on Emergence and Growth of Cowpea under Soil-Applied Trifluralin

Introduction: Improving the rate of germination and crop growth at the early growing stagescan reduce weed damage via increasing crop competitiveness. Trifluralin is a pre emergence herbicide that is incorporated with soil to prevent weed emergence and seedling growth. It inhibit microtubule assembly in cells . Seed priming cause to initiate the repairing system for membrane and the metabolic preparation for germination through controlling water absorption rate of seed. As a result, the germination capability and resistance to unfavorable conditions of seed can be promoted obviously using seed priming. Ultrasound is defined as acoustic waves at frequencies greater than 20 kHz that can be an effective method to improve germination and growth characteristics of plants . There is no knowledge about the effect of ultrasonic waves and seed priming on the emergence and growth of cowpea (Vigna sinensis) under soil application of trifluralin. So the objective of this research was to study the effect of ultrasonic waves and seed priming on the emergence and growth of cowpea under soil application of trifluralin. Materials and methods: Field experiment was conducted at the research field of Shahrood University (latitude of 36° 25 'N and longitude of 54° 57' E with an elevation of 1345 m) as randomized complete block design with four replications in during the growing season of 2014-2015. The field soil was silty clay loam in texture, having pH 7.8, EC 3.9 ds m-1, 0.75% of organic carbon, 0.04% N 6.4 and 320 ppm of available P and K. Nine treatments were 1- control, 2- recommended herbicide dose (trifluralin 2 L ha-1), 3- reduced herbicide dose (trifluralin 1 L ha-1), 4- ultrasonic waves (ultrasound), 5- ultrasonic waves + reduced herbicide dose, 6- ultrasonic waves + recommended herbicide dose, 7- hydro-priming, 8- hydro-priming + reduced herbicide dose and 9- hydro-priming + recommended herbicide dose. For hydro-priming treatment, the seeds were treated with water before sowing for 7 h. About ultrasonic treatment, the seeds before sonication (for 6 minutes) treated with water for 7 h. Trifluralin (Treflan, EC48%) applied in recommended dose (2 L ha-1) and reduced herbicide dose (1 L ha-1) as immediate mixed with soil before planting. The plots were 24 m2 with 4 sowing rows and 6 m long. Seeds were placed at 3 to 5 cm depth in each row at during the second week of June in 2014. Number of emerged seedlings in two middle rows of were daily counted until seedling establishment became stable. Emergence percentage and rate of cowpea were calculated. Sampling was done at 55 days after planting. All samples were transferred to the laboratory, leaves and stem were separated,dried into oven at 70 ºC for 72 h and weighted. Chlorophyll content, relative water content, leaf and shoot dry weight and plant height of cowpea were measured for all treatment The second experiment was conducted at the greenhouse as randomized complete block design with four replications in 2014. The treatments were exactly similar to the field experiment. Germinated seeds were recorded every 24 h for 16 days. Then, the plants were removed from each pot and transferred to the laboratory. Root, leaves and stem were separated and afterwards all samples were dried into oven at 70 ºC for 48 h and weighted. Seedling vigor index, chlorophyll content, shoot and root length, weight of root, leaf and shoot, number of leaf and leaf area index were measured for all treatment. Chlorophyll content was estimated using chlorophyll meter (SPAD-502, Konika-Minolta Co). Statistical analyses of data were performed with statistical software MSTATC. Significant differences between means refer to the probability level of 0.05 by LSD test. Results and discussion: The results showed that the ultrasonic treatment increased the dry weight of stem and leaves by 25.27 and 29.58 % as compared with the control treatment respectively. Mirshekari et al. (34) reported that when seeds were primed with ultrasonic irradiation for 5 min, seedling dry weight and leaf chlorophyll content of yarrow increased by 70% and 33.6% than control respectively. Marghaeizadeh et al. (33) reported that application ultrasonic waves increased the chlorophyll content of Carum copticum (L.) C. B. Clarke in comparison to control. Our results suggested that at both experiments the combined use of ultrasonic waves + reduced herbicide dose decreased the percentage and rate of emergence significantly in comparison to herbicide application alone. The application of ultrasonic waves + reduced herbicide dose led to a reduction in the percentage and rate of emergence by 64.83 and 68.13% in comparison to reduced herbicide application alone, respectively. Also the combined use of priming + reduced herbicide dose decreased the percentage and rate of emergence by 50.4 and 53.8 % in comparison to reduced herbicide application alone respectively. The major effects of dinitroanaline herbicides are on plant root growth, which they stop by interfering with mitosis and preventing normal cell division and cell wall formation (38, 35). It seems that hydro priming technique and ultrasonic irradiation with improving seed germination and seedling early growth under soil-incorporated trifluralin herbicide can led to more and faster absorption of herbicide by seedling and more damage to them than control. Conclusion: Our results showed the ultrasonic waves and priming accelerates the seed germination and root length and ultimately resulted in improving biomass and growth of cowpea seedling. Also data presented in this research suggested that pre-treated of cowpea seeds with ultrasonic waves and hydro priming can reduce some plant parameters like percentage and emergence rate of seeds, shoots dry weight, leaf area index and etc. in soil treated with trifluralin herbicide

Globozoospermia is mainly due to DPY19L2 deletion via non-allelic homologous recombination involving two recombination hotspots

To date, mutations in two genes, SPATA16 and DPY19L2, have been identified as responsible for a severe teratozoospermia, namely globozoospermia. The two initial descriptions of the DPY19L2 deletion lead to a very different rate of occurrence of this mutation among globospermic patients. In order to better estimate the contribution of DPY19L2 in globozoospermia, we screened a larger cohort including 64 globozoospermic patients. Twenty of the new patients were homozygous for the DPY19L2 deletion, and 7 were compound heterozygous for both this deletion and a point mutation. We also identified four additional mutated patients. The final mutation load in our cohort is 66.7 (36 out of 54). Out of 36 mutated patients, 69.4 are homozygous deleted, 19.4 heterozygous composite and 11.1 showed a homozygous point mutation. The mechanism underlying the deletion is a non-allelic homologous recombination (NAHR) between the flanking low-copy repeats. Here, we characterized a total of nine breakpoints for the DPY19L2 NAHR-driven deletion that clustered in two recombination hotspots, both containing direct repeat elements (AluSq2 in hotspot 1, THE1B in hotspot 2). Globozoospermia can be considered as a new genomic disorder. This study confirms that DPY19L2 is the major gene responsible for globozoospermia and enlarges the spectrum of possible mutations in the gene. This is a major finding and should contribute to the development of an efficient molecular diagnosis strategy for globozoospermia