№ 121(7), September, 2016
Public date: 30.09.2016
Archive of journal: Articles count 138, 339 kb
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06.00.00 Agricultural sciences
DescriptionPeach fruit is much demanded worldwide. The success of its cultivation depends on the optimal plant placement of all the huge biodiversity considering the cultivar demands. The northern boundary of the peach cultivation passes through the Kiev-Kharkov-Rostov-on-Don, Maikop, Nalchik, Grozny, Astrakhan (Witkowski, 2003). However, because of extreme temperatures there are almost no suitable areas for Peach crop cultivation in these borderlands, in the Krasnodar and the Stavropol regions. From the other hand, extreme temperatures for peach cultivation in the humid Russian subtropics were not observed. Spring frosts till -5 ° C were observed in 2004, 2014. However, the cultivar productivity in the region influenced by the duration of low temperatures (7,2 ° C and below) that were observed from December to March. The amount of low temperatures for each cultivar was established using the highest coefficient of yield determination, depending on the temperature, amount of precipitation and the "cooling unit." The yield of peach cultivars is closely linked with the abovementioned agro-climatic conditions during the flowering period. Paired correlation coefficients of yield with precipitation and with temperatures (for most cultivars) were negative, and since they are unregulated value, the flowering phase is crucial for peach culture in the Russian subtropics
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ASSESSMENT OF COMPETITIVENESS OF RUSSIA IN THE WORLD ECONOMY
DescriptionThe article evaluates the competitiveness of Russia in the world economy. This aspect of the study was considered in the dynamics and historical perspective of world economic relations development, the world's leading economies being an example. The origins and nature of competition, the concept of substitute goods were considered as an important problem of market economic system. The place of Russian Federation in the modern external economic environment and real prospects of achieving a high position among the leading producing countries were studied based on retrospective data. A comparative analysis was carried out according to certain criteria between the highly developed States. Theoretical review of data to assess the competitiveness of Russia in the world economy showed that the crisis of recent years could not have a positive impact on both economic development level of the Russian Federation and its opponents. It is known that each approach to consideration of a specific situation has its advantages and disadvantages but this article provides the most comprehensive and detailed material on the subject matter. Evaluation of competitive ability of Russia in the global economy has shown the need to increase the production capacity of the domestic manufacturer, and consequently, the production power of the country is increasing. This will contribute to the strengthening of the international authority of Russia
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Description
In modern conditions, the problem of the choice of an optimum tax regime especially is particularly acute for agricultural organizations. The subjective factors influencing acceptance of management decision on the matter such as the production specialization level, a share of the income from sale of agricultural products in total income, number of workers are characteristic of each organization. However, a preliminary stage of the analysis of tax expenses in case of various tax regimes is consideration of statistical information on an industry in the field of the taxation. In this article, data on structure and size of liabilities on taxes, charges, fees are provided to off-budget funds of agricultural organizations of the Krasnodar Region, dynamics of this indicator within five years that gives an idea of a tendency of change of conditions of the taxation in case of various tax regimes. Statistical information on distribution of agricultural organizations of the Krasnodar Region on tax regimes is also provided in a percentage ratio. The comparative analysis of level of the tax load in case of various tax regimes which gives an idea of benefits of a special tax regime to agricultural producers is provided. The study was sponsored by RFFR and the administration of the Krasnodar Territory in the framework of a research project № 16-46-230131 “Formation of information efficient management of agricultural production systems through the integration of information flows of the financial, tax and management accounting (based on organizations of the Krasnodar region)”
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06.00.00 Agricultural sciences
DescriptionCurrently, due to the risk of global warming because of increased concentrations of greenhouse gases in the atmosphere, carbon-deposit function of forest ecosystems, thanks to which stabilization of gas composition of the atmosphere takes place, has great importance [1]. Forest is one of the main components of the biosphere. Forests protect soil from erosion, provide stability hydrological regime of rivers, supply atmosphere with oxygen, biologically active substances, purify of harmful impurities, create optimal environmental conditions and play an important environmental role. However, because of intensive anthropogenic influence (unregulated logging, technogenic environmental pollution recreation) forest ecosystems are experiencing stresses at which irreversible processes of degradation of communities of economically valuable main forestforming species of both natural and artificial origin take place [6]. Evaluating carbon-deposit function of forest plantations, CO2 emissions to the atmosphere through the soil respiration must be taken into account, which can vary within wide limits. Productivity of forests is largely driven by carbon dioxide, released from the soil. Soil carbon dioxide provides demand of forest plants for photosynthesis. With increasing intensity of soil respiration, positive balance is maintained [2]. Based on the method of V.I. Tarankov for evaluation of carbon-deposit and oxygen-producing functions of wood cenoses [2], similar research is carried out in RSI "Kuban forestry", the KarachayCherkessia Republic
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FOOD AND BIOLOGICALLY ACTIVE ADDITIVES FROM SECONDARY PLANT RESOURCE
DescriptionThe article analyzes technologies and production methods of food and biologically active additives from secondary plant resources developed in Russia and abroad. We have studied a classification of secondary resources resulting from the processing of vegetable raw materials. It is found, that the most interesting (in terms of macro and micronutrients) are secondary resources resulting from the processing of fruit, vegetables and grapes, in the manufacturing process of vegetable oil, flour and cereals industry. It is concluded that, despite a significant number of currently developed and implemented technologies, the development of relevant ones provides complex processing of vegetable raw materials, with the release of a wide range of food and dietary supplements, resulting in a number of physiologically and technologically functional properties
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ENHANCING THE ROLE OF THE STATE REGULATION IN MANAGING DEVELOPMENT OF AGRICULTURAL PRODUCTION
DescriptionDomestic and foreign experience of operation of the segment of "small" rural economy shows that its capabilities are still being used not completely out of the difficulties and risks of development. The main reason for the slow dynamics of the modern development of subjects of small farming (SAF), according to the authors, is the inaccessibility of the credit market in this sphere since the key rate of the Central Bank at 10.5%, which is too high and, therefore, significantly reduces the efficiency of the investments in this risky industrial sector. In addition, the most narrow «neck bottle» is remaining a unit of realization of products of small businesses. The authors propose a refined definition of "small agricultural businesses" that differs from the previous definitions by its conciseness and by including small enterprises of not only 1-st production, but also the 2-nd processing of agricultural sector. The study revealed that the most distinctive features of small agricultural forms are: high autonomy, independence, and self-protection from adverse environmental factors. The authors propose to adjust the long-term regional development program, and suggest the method of determining the capacity of the market for products of small agricultural farms with possibilities of a differentiated accounting of consumers by their income, residency, and consumption of domestic and other animals. They believe that the problem of affordability of lending and perfecting of system of marketing of small agricultural farming today is largely able to solve with the multi-level agricultural credit and sales-living cooperatives. The authors believe that the government should create a high-in-demand SAF productive assets and then transfer them to the operational management of cooperatives, with subsequent transformation of them into equity of the small participants of cooperatives
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METHODS OF DESTROYING COMMON RAGWEED IN SUNFLOWER CROPS IN THE KRASNODAR REGION
06.00.00 Agricultural sciences
DescriptionRagweed plant became quarantine malware on the territory of Southern Russia. In the Krasnodar region it has been extended to the territory of more than 4.62 million hectares. In the areas of its growth, it causes great damage to agriculture. By developing a strong root system and aboveground, it inhibits the row crops, especially sunflower. Another problem with this weed is producing large amounts of pollen that causes allergic reactions in the majority of residents of the province. This article discusses the importance of using modern methods of ragweed oppression, including chemical and biological methods in sunflower crops
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APPLICATION OF CLIMATIC INDICES FOR EVALUATION OF REGIONAL DIFFERENCES IN TOURIST ATTRACTIVENESS
DescriptionIn the article we consider the results of the study of climatic attractiveness of the South of Russia from the point of view of tourism development. Formal definition of attractiveness was reached by using a wide spread concept of climatic indices. Any climatic index is calculated by a set of medical and biological characteristics. The latter are defined on the basis of human physiology. Indices, which are used for evaluation of attractiveness of one or another region from the point of view of recreation and tourism, have certain peculiarities. Very often they are calculated using poorly formalized and arguable indications like psychological feeling of meteorological characteristics and even aesthetic perception. Taking into account above mentioned experience we have suggested a new approach for evaluation of climatic tourist indices basing on initial (standard 3 hour discretion) meteorological observations with maximum possible exclusion from a calculation scheme all subjective parameters. Our approach is based on a well-known method of Mieczkowski [4]. The method was developed more than 30 ears ago and is still widely applied. Our method allows objectively evaluate nonsmoothed index values because it takes into account combinations of meteorological characteristics with maximum available discretion during the day. A method demonstrated its capability for evaluation of regional variations in tourist attractiveness. We analyzed 40–year dynamics of attractiveness in the region being in the focus of the study
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Description
A determination system of the population health is a big complex hierarchical system. The current level of management of such systems involves the use of mathematical models and corresponding software tools for the accumulation of baseline data (monitoring), identification, prediction and decision-making. However, when modeling such large complex systems, we face a number of problems. The main problem is that in one model it is necessary to process a very large number of factors in a proper and comparable way, that are measured in different units, and different types of scales (numeric and text). Traditionally, to solve this problem and determine the values of individual criteria we use expert evaluation and desirability functions, and the integral criterion is the geometric mean. However, the traditional approach, currently applied in this field, has several disadvantages. First, in the traditional model it is defined in an expert way, which factors influence the decision of different problems in a positive way, which ones are negative and which ones do not affect. Second, for the numerical evaluation of influence factors on the solution of the problem we use different algorithms for calculating values of the desirability function for positively and negatively influencing factors which, when used as an integral criterion of the geometric average, leads to comparable results. Third, the use of normalized utility functions leads to the leveling force of the impact factors resulting in weak impact and the influencing factors are given the same variation in numeric values and have similar influence on integral criteria. All of the mentioned problems of the traditional approach have been resolved using Automated system-cognitive analysis (ASC-analysis) and its programmatic Toolkit – Universal cognitive analytical system called "Eidos". In the proposed systemic cognitive model, for the values of environmental and economic factors, without the participation of the experts, we have calculated the amount and the sign of the information contained there about some values of indicators of population health
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Description
It is well known that genetics studies the mechanisms of variation/heredity and widely uses the concept of "genetic information". While genetics considers the information as the content of the genetic code - structure of DNA and RNA included in the cell of a living organism. Genetics examines the mechanisms of recording, copying, readout of genetic information, the possibility of its modification and its influence on the characteristics and properties of the organism. In conversational and scientific language we know phrases, such as "Genes contain information about the characteristics/properties of the body." Paradoxically, we see no attempts to determine the amount of information contained in specific genes on specific characteristics or phenotypic properties of the organism. It would seem that the application of information theory in genetics is a completely natural and suggests itself. More strange that there are practically no works devoted to the application of information theory for solving problems of genetics. This article is intended, to some extent, to fill this gap on the example of calculating the amount of information in the genes of the characteristics or properties of different grape varieties. It examines the application of automated system-cognitive analysis (ASC-analysis), its mathematical model – system of information theory and software tools – intellectual system called "Eidos" for solving one of the important tasks of genetics: determine the amount of information contained in the genes on various phenotypic characteristics/properties of the grapes. To solve this problem, we perform the following steps: 1) cognitive-targeted structuring of the subject area; 2) the formalization of the subject area, i.e. development of classification and descriptive dials and graduations and training samples; 3) synthesis and verification of information model, reflecting the amount of information in the genes on the phenotypic characteristics/properties (multiparameter typing); 4) displaying the information about the genetic determination system of phenotypic characteristics/properties (SWOT analysis of Fennovoima); 5) displaying the information about the strength and direction of influence of a specific gene on phenotypic characteristics/properties (SWOT-diagrams of genes); 6) the solution to the problem of system identification phenotypic characteristics/properties by the presence of certain genes; 7) quantification of the similarities-differences of the various phenotypic characteristics/properties, upon determination system genes. A specific phenotypic property (or characteristic) is regarded as a noisy genetic text, including genetic information about the true gene property (clean signal) and the noise that distorts this information due to the random effects of the environment. The software tool of the ask-analysis which is "Eidos" intellectual system provides the noise suppression and the selection of true signal