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This study was carried out to evaluate the effects of drought stress on 12 genotypes of vetch (Vicia dasycarpa) at the experimental field of Agriculture and Natural Resources Center of East Azarbaijan Province during 2003. Field trial was conducted as a spilt plot design based on randomized complete blocks with three replications. Drought treatments (normal, medium and severe stress conditions) were included in main plots and the genotypes were allocated in subplots. During the growing season, plant height, pod length, pod width, number of grains per pod, 1000 grain weight, number of pods per plant, number of grains per plant, number of axillary branches, harvest index, biomass and grain yield were measured. Drought stress effected all traits (except number of grains per pod) significantly. Greatest amount of reduction in value due to water stress belonged to grain yield and biomass. Number of pods per plant and number of grains per plant were affected by drought more than other yield components. However, the adverse effect of water stress was not similar for all genotypes and there were significant genotype by environment interaction for important characters such as biomass, grain yield, number of pods per plant, number of grains per plant and plant height. Evaluation of the genotypes based on drought tolerance indices (STI and TOL) indicated that under medium water stress environment the genotypes 9 (from Italy) and 7 (from Turkey) showed better drought tolerance performance in terms of grain yield. Regarding biomass, the genotypes 3 (from Italy) and 6 (from Australia) were recognized as the most appropriate genotypes for hoth medium and severe drought stress conditions.

In recent years, repeated droughts have had negative impacts on agricultural products. Farmers can reduce the effects of droughts by using adaptive strategies. The aim of this study was to investigate farmers' strategies in response to drought consequences and to examine the factors affecting the use of these strategies. In terms of purpose, the study is an applied one, and the method is descriptive-analytical. The data gathering tool was a questionnaire and interviews. The statistical population of the research consisted of the rural households in Roshtkhar County (N = 13716). Using the Cochran formula, 373 farmers were selected as the sample. For data analysis, the unlimited exploratory uncertainty test and the binary logistic model (LM-Newton-Marcard-Raphson method) were used. The results showed that decreased water resources (0.882), reduced crop area (0.735) and increased living expenses (0.698) were the most important consequences of drought. Drought-tolerant plants such as saffron, irrigation, and non-agricultural jobs were the most important strategies adopted by the farmers in response to drought consequences. Variables such as age, sex, indigenous knowledge, labor force, income, farmers’ experience, and farm size were significantly associated with the application of strategies. The results of the research can be used for more adaptation of farmers to drought consequences in the villages of the county.

Introduction: Particulate matter refers to the combination of atmospheric pollutants that a portion of this particulate is bioaerosol. The aim of this study was the evaluation of bacteria, fungi and biomass in particulate matter in ambient air of Khorramabad during summer and autumn 2012. Materials and Methods: This study was a cross sectional study that conducted in Khorramabad city during summer and fall 2012. Sampling has been done via high-volume sampler. The special cultures were used for cultivation and determination of fungal and Heterotrophic Plate Count (HPC (and Bradford method were used to determine bacteria and protein as biomass indicator, respectively. Relationship between these variables with metrological parameters was evaluated too. Results: The highest PM10 in July (257.18 µg/m3) and lowest in September (92.45 µg/m3) had been recorded. The highest amount of bacteria and fungi were measured as monthly in November (605 No/m3) and December (120 No/m3), respectively. The highest of protein concentration was measured in August, September and December (27-30 µg/m3). With the increase in PM10, biomass concentration in the air showed a meaningful increase. Conclusion: Biomass concentration in the air increased with increasing PM10 but it had no significant effect on the concentration of bacteria and fungi in the air. Meteorological factors such as temperature, humidity, wind speed, solar radiation and the amount of exposure time had a significant impact on bioaerosol concentrations in the air.

Background and aims: Fossil fuels Emission and their limited resources make to use renewable energy with more sustainable energy sources and less minimal environmental impacts. One of the most appropriate renewable energies considered lots of advantages including being renewable and environmentally friendly and containing social and economical interests, is Biomass. “Biomass” means a power source that is comprised of, but not limited to, combustible residues or gases from forest products manufacturing, waste, byproducts, or products from agricultural and orchard crops, waste or co-products products from livestock and poultry operations, waste or byproducts from and food processing, urban wood waste, municipal solid waste, municipal liquid waste treatment operations, and landfill gas. Due to the wide availability of biomass worldwide, mainly because it can be obtained as a by-product of many industrial and agricultural processes, biomass represents a growing renewable energy source with high growth potential. Biomass helps reduce the amount of GHG that give more impact to global warming and climate change. The biomass emissions level is far smaller compared to fossil fuels. The basic difference between biomass and fossil fuels when it comes to amount of carbon emissions is: all the CO2 which has been absorbed by plant for its growth is going back in the atmosphere during its burning for the production of biomass energy. While the CO2 produced from fossil fuels is going to atmosphere where it increases greenhouse effect. Another great advantage of biomass energy is that it is an indigenous fuel. The fuels from biomass materials can be produced locally and no high technology is required. Producing fuel from biomass materials reduces the dependence of a country on foreign resources for their fuel requirements. Moreover, since this indigenous fuel is labor intensive, it can contribute to the generation of new jobs, particularly in rural and farming communities. The number of employed workers required is 3-6 times greater than the fossil energy production in the associated processes. This study was aimed to identification and green grading of environmental management in that’s jobs. Some other socio-economic benefits can be counted such as slowing down the migration from the rural areas to cities, decreasing the issues associated with rapid urbanization, and developing a biodiesel production industry. Among its great benefits is the forest use of the territory, which would also serve to clean the forest and thus prevent forest fires, and the ability to generate jobs. Biomass generates continuous employment such as the extraction of raw materials from the countryside and the bush. This study was aimed to identification and green grading of environmental management in that’s jobs. The research questions are: 1. What are green job indicators? and 2. has renewable energy biomass business indicators of green jobs? Methods: This study was qualitative – quantitative, first according to the grounded theory qualitative method semi-deep interviewed with 50 environmental experts in the Environmental Protection Agency, the municipality, faculty members of the universities, the natural resources and watershed management, agriculture ministry and NGOs active in the environment conducted a with purposeful sampling (snowball). Regarding qualitative data validation were used constant data comparison, reviewing the observers and handwriting by participants and use of foreign and expert researchers familiar with qualitative research as an observer. Then, data was analyzed using the grounded theory of open, axial and selective coding analyzed in MAXQDA software. Once coding categories emerge, the next step is to link them together in theoretical models around a central category that hold everything together. In order to explain the grounded theory, green jobs are considered as the central variable, and the main line of research is defined using reminders and diagrams around it, and finally the green indicators derived from it are developed. Based on them, researcher-made questionnaire was designed in a combination, closed response with 5-rate likert scale. In order to determine the validity of the questionnaire, the content validity was used with the lawshe model and with reviewing previous studies was determined, the scope of the questionnaire in greenness of the job, and the reliability of the questionnaire was obtained using Cronbachchr('39')s alpha coefficient for internal consistency. Cronbachchr('39')s alpha value for each research question was more than 0.7, the reliability of the questionnaire was approved. Also, the Cronbachchr('39')s alpha coefficient of the questionnaire was 0.890. In order to estimate the repeatability, the retest method and the ICC index were used that index was 0.996 (p <0.001), indicating its high repeatability. For estimating the results of greenness and its degree in the jobs of renewable energy biomass, were used statistical analysis of Kolmogrov-Smirnov test, single-sample t-test and Friedman test in SPSS software. Result: Findings of the qualitative research on the structure of green job identification and prioritization were discussed in six categories including establishment in accordance with the legal and technological infrastructure of the green job as context, green job as a phenomenon, environmental pollution elimination and the health risks reduction of the community as causal conditions, green management as operational strategies, environmental empowerment of jobs as an intermediary conditions and economic and environmental benefits as a consequence. The results of quantitative to showed that jobs studied are considered green jobs and their green grading are as follows: 1. Maintenance (mean=5/61), 2. System Design (mean=4/83), 3. Training (mean=4/22), 4. Quality Monitoring and Quality (mean=4/03), 5. Collection (mean=3/64), 6. Manufacturer (mean=3/61) and 7. Worker and System Administrator (mean=2/06). According to the results, components of green jobs are defined including: (1. explaining Green Jobs, Productivity of Occupations, 2. environmental Protection and Health, 3. Green potentials and incentives, 4. environmental Standards and Indices of Health and Green Management, 5. environmental and health challenges and solving energy crisis with the help of green jobs, 6. environmental education and green culture, 7.environmental empowerment through a variety of environmental and health education, informing and accompanying NGOs, 8. economic-ecological profitability and the optimistic approach to economic interests (green economy) and impact of economic issues, profitability, financial support, market regulation, and return on investment in the process of greening and green expanding businesses). Results show that green indices of occupations are 1- environmental and health of profile occupational, 2- strengths and weaknesses, threats and opportunities green jobs, 3- green supply chain management of businesses, 4- impact of green jobs on sustainable development and community health, 5- effect of environmental education on the green performance of occupations, the impact of environmental advertising on green performance and 6- reduce employee costs and increase business profits through environmental management. These green jobs literature extols the virtues of generating energy using “wood waste and other byproducts, including agricultural byproducts, ethanol, paper pellets, used railroad ties, sludge wood, solid byproducts, and old utility poles. Several waste products are also used in biomass, including landfill gas, digester gas, municipal solid waste, and methane. Conclusion: The green features of the biomass business are included solving the problem of fossil fuels, caused by fossil energy and renewable energy sources. identification and green grading jobs diversifying energy sources, sustainable development, securing energy, removing environmental and health problems would help to managers and policy makers for identifying and providing executive solutions and identifying multifaceted priorities for green management. Despite the high potential of bio-economy in renewable energy (biomass) and high amounts of raw materials in the agricultural waste and sewage has not been fully realized. To achieve of developing a competitive economy, low-carbon resources with efficient resources, global economic markets have shifted strategy towards renewable energies, so as to create green jobs in order to reduce environmental problems (waste and climate change). For performance of macroeconomic policy in notification Supreme Leader on the restructuring of the countrychr('39')s economic structure has proposed policies to change reducing dependencies on fossil fuels and external resources towards the creation and development of green jobs in the field of renewable energy, especially biomass, because there are a lot of raw materials in the country, especially in the villages and without necessary to high technologies. Biomass development increase energy efficiency, the use of renewable energy resources and the creation of a favourable environment for investment in energy efficiency measures and the generation of ‘green’ jobs. The rural development prospects for green job growth are mixed. Rural areas contain biomass feedstocks which will be increasingly relied upon to offset fossil fuel dependencies. The distribution of those feedstocks, however, is not uniform across rural areas. Furthermore, the technologies to convert those feedstocks into fuels and other uses are yet to be demonstrated at commercially successful scales. Both policy development and research activities should be focused on the efficient utilization of rural natural resources, human capital, and rural infrastructure in achieving national green policies. The green economy appears to be fertile ground for unbiased, academic research to examine some of the regional consequences of green jobs growth and green jobs policies, to include an examination of rural opportunities, but going well beyond that dimension to include the integration of statewide and multi-state regional development opportunities as well as consequences. This study was not about raw materials (waste and sewage) to produce renewable energy biomass, and it is possible that this section may also be effective in the creation and development of green jobs, then there may be restrictions on the generalized findings, interpretations, and attributes of the causation of variables. Therefore, it is suggested that future research into this part of the process of producing renewable energy biomass should be considered.

Introduction: Identifying the effect of energy consumption, economic growth and foreign trade on CO2 emissions have been studied at both national and international levels. However, there have been very few researches on the effect of financial and banking development on the CO2 emissions, especially in Iran. So, this study aimed to cover this research gap. Methods: This study was a time-series analyses over the period of 1971-2011. In order to investigate about existence of a long-run co-integration relationship between CO2 emissions and banking development indicators in Iran, long-run coefficients were estimated by Autoregressive Distributed Lag (ARDL) and Dynamic Ordinary Least Squares (DOLS) approaches. Moreover, to carry out the econometric tests Microfit (5.0) and Eviews (9.0) software were used. Results: Findings showed that the ratio of domestic credit to private sector by banks to GDP (Banking Development Indicator) reduces CO2 emissions in Iran. In addition, results confirm with theories and other empirical studies showed that energy consumption has positive and significant effect on CO2 emissions in long-run. Conclusion: The government can help to improve environment quality by establishing a strong policy making on credit to firms by banking system. Because in this framework firms to receive credit from banking system are required codified programs to reduce negative outcomes of energy consumption and this lead to a less CO2 emissions in long-run.

Introduction: Today, the food-energy nexus is a vital issue. Energy in the food production chain is an essential feature of agricultural development and a critical factor in achieving food security. Energy use in the agricultural sector has increased to respond to the growing demand of the population, as well the limited supply of cultivated lands, and the desire for high standards of living. Therefore, the agricultural sector is heavily dependent on energy that affects agricultural prices. Agricultural price fluctuations are one of the most critical challenges for policymakers. The rapid rise in food prices has a significant negative impact on social welfare, especially the poor in developing countries, which is an issue that is more critical in developing countries than in developed countries. According to the Food and Agriculture Organization (FAO) report in 2018, the food world price index increased from 89.6 to 229.9 during the period from 2002 to 2011. Our literature review shows a distinct lack of research on modeling and analyzing the linkage between agricultural input price shock, especially energy and agricultural commodity prices in Iran. Materials and Methods: The Markov Switching model is a popular non-linear time-series model that involves multiple equations and can characterize the time-series behaviors in different regimes. This model is suitable for describing correlated data that exhibit distinct dynamic patterns during different periods. So, considering the sensitivity of food security and the impact of agricultural input, the main objective of this paper is to develop an econometric model to gain reliable insight into the impact of energy consumption on agricultural inflation, using the Markov Switching approach. To estimate this equation, we will run a MS-AR model, some preliminary tests, such as unit root test and stability test, are employed to ensure the reliability of MS-AR estimation results. Results and Discussion: Due to use of time series data, it is necessary to check the stationary status of variables. We performed a common non-linear unit root test (Kapetanios, Shin and Shell (KSS), Zivot and Andrews, Lee and Strazicich). These results reveal that we can significantly reject the null hypothesis of unit root for API, PPI, FPI, and EC, implying that all four variables considered in this study are stationary with structural breaks at levels. The Markov-Switching model has the various types that each of these is a particular component of the regime-dependent equation. Therefore, to choose the best type, the Akaike information criterion was used, and the model with the minimum value was selected as the optimal one. After model estimation and selection, the LR test indicated that the hypothesis of linearity could be rejected in favor of a Markov switching model. According to this model, the period of the Markov switching model estimation is classified into two regimes. Approximately, all the estimated coefficients of the MSIAH (2) - AR (5) model are found to be significant at the conventional level. Conclusion: The estimation results are consistent with theoretical foundations illustrating the importance of input prices and energy consumption on agricultural commodity prices. As with most experimental studies reviewed, this study has also shown energy consumption has a negative impact on agricultural commodity prices. In other words, it can be contended that during the study period, agricultural input prices have been influential factors on agricultural commodity prices. The findings revealed that the low inflation rate and high inflation rate regimes are stable and that only extreme events can switch regimes. The results of the MS model showed that the effect of input prices on agricultural inflation is different in regimes. In the case of energy, the impact of energy consumption on agricultural commodity prices in the high inflation rate regime is less than the low inflation rate regime because the elimination of energy subsidies policy has been applied in the second regime (high inflation rate). Thus, the results indicate the asymmetric impact of energy consumption shocks on agricultural commodity prices. The effect of agricultural input prices on agricultural commodity prices indicates that Iranian agriculture is significantly affected by changes in input prices. In this study, changes in input prices were caused by various shocks, such as the elimination of energy subsidies and drought. Therefore, it can be concluded that the elimination of energy subsidies and drought were, directly and indirectly, able to affect agricultural inflations through the price of inputs. In conclusion, planners and policymakers must pay attention to this asymmetry in agricultural commodity prices volatility to increase the price stability in agriculture as much as possible by appropriate policy tools.

The occurrence of climate change via temporal and rainfall changes during future decades is inevitable. So, before programing for contrast with this phenomena, studying their interaction is necessary. Hence production of wheat (cv. Sardari) and 12 theorical genetic changed cultivars studied in Uremia during 31 years before and 26 years in future in rain fed conditions using of LARS-WG and SSM-Wheat models. Results for next years (2014-2040) indicated on increasing in mean of minimal and maximal temperatures (0.73 and 0.65 oC respectively) and decreasing in mean of rainfall from 1.2 mm/day to 0.98 mm/dam and diminishing in mean of daily radiation about 0.14 MJ.m-2.d which really is a climate change up to warming, changes in precipitation especially in range and distribution. Results of simulation of wheat production showed that the important effective factors in increasing of yield and harvest index are 20% increasing in time from sowing to seed filling beginning (vegetative growth) mid 20% decreasing in time from sowing to seed filling finishing(not contact of seed filling phase with drought of season end) and 20% increasing in RUE. The most grain yield and HI simulated in theatrical cultivars as: C1, C4, C6 and C9, so the most biomass obtained in C3, C8 and C9 cultivars. Thus we must attend to changes in precipitation range and distribution, so to optimal distribution between vegetative and generation phases with improvement of RUE if we want cultivate wheat in future because it could be the important agent which increase wheat yield in now and future conditions.

Soil compaction, as one of the causes of stress, has a negative impact on plant growth. The aim of this study was to evaluate the effect of soil compaction on root system of Caucasian alder (Aluns subcotdata C. A. Mey.) seedlings in controlled condition. After sowing of alder seeds in plastic pots in loamy or clay-loamy soils with constant moisture regimes, the reaction of seeds were evaluated under six levels of soil compaction. Collar diameter, length, biomass, and allocation ratio of root system were measured and calculated. According to the results, the studied parameters decreased significantly by increasing soil bulk density and their trend were downward quadratic, except ratio of lateral root length to main root length. Thirty six percent decrease in the mean of lateral root length, 31% decrease in the mean of main root length, 37% reduction in the mean diameter of main root and 27% fell down in the mean value of root dry biomass was recorded in treatments with different levels of soil compaction in compare to the control treatment. In general, results indicate that compaction tension has negative effect on the characteristics in the root system of Caucasian alder seedlings.

Introduction Soil bacteria plays an important role in bio-geochemical cycles that cause soil ecosystem dynamics to return nutrients to life cycles. In recent days, these organisms can serve as complementary or, in some cases, alternative fertilizers, to maintain the sustainability of the agricultural ecosystem. On the other hand, the production of high-yielding cultivars has increased the consumption of agricultural inputs, especially fertilizers, which has caused a crisis of environmental pollution. Bacteria are soil microorganisms that are involved in the nutrient cycle of the soil, can improve plant growth, and are known as growth promoting bacteria (PGPRs). Approximately two to five percent of root-borne bacteria are in the group of growth-promoting bacteria. These bacteria improve plant growth in a variety of ways, including nitrogen fixation, synthesis and production of iron-complex ingsiderophore, production of plant hormones, production of antibiotics and fungicide compounds. Soil has a wide range of organic phosphate sources that must be converted to its inorganic form by enzymes such as phosphatase, phytase and phosphonostat, and bacteria in the Bacillus and Pseudomonas groups can be produced by the production of acid phosphatases that dissolve phosphates to help absorb them by plant. Another group of bacteria such as Azotobacter and Azospirillum have the ability to stabilize nitrogen. Sesame (Sesamum indicum L.) is one of the oldest oilseed plants and has been named as the queen of oilseed plants and compatible with arid and semi-arid regions. Lowing sesame yield per unit area necessity to exerted agronomic management practice. The number of capsules is the main components of yield that has highly correlated with it. The aim of this study was to investigate the effect of biofertilizers on number of capsules per node of leaves sesame plant under field conditions. Materials and Methods An experiment was conducted as factorial arrangement based on a randomized complete block design with three replications at Mashhad Agricultural and Natural Resources Research and Education Center during two growing seasons (2017-2018 and 2018-2019). The first factors were: seeds single capsule and multi-capsule seed types and second factors were four Biofertilizers: 1) Nitroxin® (containing Azotobacter and Azospirillum bacteria), 2) Biophosphorus® (containing phosphatase-solubilizing bacteria of genus Bacillus and Pseudomonas), 3) Equal mixture of Nitroxin and biophosphorus and 4) control. At planting time, seeds were inoculated with biological fertilizers by standard method, away from direct light and foliar spraying was done in 50% reproductive stage with the bio fertilizer treatments. The morphological traits (plant height, number and length of lateral branches, number and dry weight of leaves, number of nodes, number of capsules, number of single and multiple capsules nodes were measure per plant and biomass and seed yield were measured per unit area. Data was analyzed using MSTAT-C and means was comparison with LSR at the 5% probability level. Results and Discussion Application of biofertilizers increased plant height by 11 to 19.9 cm compared to no fertilizer treatment (89.1 cm). In the second year, the number of nodes was about 43% higher than the first year. Triple interaction treatments showed that in the second year and in single capsule seeds the application of nitroxin and biophosphorus fertilizer had the highest number of nodes (85.7) and the lowest amount of it was observed in single seed capsule plants in the first year. The highest number of single capsule nodes was obtain in the application of biofertilizer (nitroxin+ biophosphorus) in single capsule seeds. In the second year, the number of single capsule nodes in both seed types was more than 29 per plant. In the second year, the highest number of multi-capsule nodes was recorded from multi-capsule seeds with use of nitroxin and biophosphorus combination fertilizers. Interaction between treatments of seed type and biofertilizer results showed that plant was growth from multi-capsule seed had a positive reaction to biofertilizer so that in multiple seed type the number of capsule per plant was more than 57 in application of biofertilizer. Both in the first and second year, in the multiple seed capsule type, the use of biofertilizers produced more grain yield per square meter than other treatments. Conclusions The results of this study showed that consuming of biofertilizers together that containing Azotobacter, Azospirillum, Bacillus and Pseudomonas had a positive significant effect on the plant height, number of capsules per node leaf, biomass and number of capsule that lead to increase of seed yield in sesame plant. Therefore, it is recommended that seeds inoculate with these bacteria in sowing time and applying one foliar spraying in mid-flowering time lead to enhance sesame yield.

The energy management of ships to improve the efficiency of ships and reduce greenhouse gas emissions is among the most important issues that have been considered as a milestone in designing and constructing of vessels in recent years. The study of energy trends and attention to technological changes and the importance of more stringent environmental standards in recent years have led to a major challenge in relation to air pollution, energy management, and exposure to end-of-life sources of fossil fuels. In recent years, focus on current fuels and technologies in vehicles has led to a major challenge regarding air pollution, greenhouse gas emissions, energy security, and also exposure to exhausting sources of fossil fuels. Now days, Hybrid propulsion systems are one of the solutions that are being followed in many countries to solve this problem. In this paper, after introducing the hybrid system; conceptual design and determination of a suitable hybrid system for vessels have been investigated. Then the calculations and relations dominating the hybrid parallel system of vessel are presented. The modeling is also done using the ADVISOR software run in the Simulink platform of the MATLAB for both conventional and hybrid systems. The results show that parallel hybrid vessel has improved by 7% in total efficiency and 7.1% for consumption. In addition, HC and CO emissions have been decreased by 0.44% and 0.39%, respectively.