At present, databases of 27-year observations of various adverse weather conditions and dangerous hydrometeorological phenomena leading to social and economic losses on the territory of Russia are in full open free access. Some of these natural hazards also cause significant damage to agriculture, especially crop production, horticulture and viticulture. Therefore, a great scientific and practical interest is the intellectual analysis of these data, which will create more favorable conditions for the prediction of such adverse events and decision-making, taking into account their possible negative impact on human activity. To achieve this goal, it is necessary to solve the following tasks, which are obtained by decomposition of the goal and are the stages of its achievement: Task 1: cognitive structuring of the subject area. Task 2: preparation of initial data and formalization of the subject area. Task 3: synthesis and verification of statistical and system-cognitive models and selection of the most reliable model. Task 4: solving problems in the most reliable model: - subtask 4.1. Forecasting (diagnostics, classification, recognition, identification); - subtask 4.2. Support decision-making; - sub-task 4.3. Study of the simulated subject area by studying its model (cognitive diagrams of classes and values of factors, agglomerative cognitive clustering of classes and values of factors, nonlocal neurons and neural networks, 3d-integral cognitive maps, cognitive functions). It is proposed to use automated system-cognitive analysis (ASC-analysis) to solve the tasks. The article provides a detailed numerical example illustrating the solution of all these problems
An organizational and economic mechanism for managing functional stability has been developed, the components of which are optimal structural and regulatory decisions, as well as a calculated and reasonable regulatory framework as tools for ensuring the sustainability of reproduction processes in a mode that ensures achievement of output parameters guaranteeing a given level of efficiency. The dimension of regulators is calculated based on ensuring the sustainability of reproduction processes in industry production
For the first time results of researches on potential productivity and environmental role of hayfields in the Indigirka river basin (Momskiy district) are presented. Researches proved that feeding meadow plants in conditions of the Indigirka river basin, depending on the type of vegetation, location and features of root systems, provide maximum crop productivity – up to 18,5 dt/ha of hay with productivity of 1 ha for harvesting exchange energy up to 16,1 gigajoule, fodder units 1130 and crude protein up to 209 kg maximal underground mass accumulation of meadow plants was formatted in the region of Indigirka and Khonuu – mixed and squirreltail barley (hordeum jubatum) hayfield up to 193,6 dt/ha, dry matter and carex duriuscula and squirreltail barley hayfield up to 252,2 dt/ha with the majority of roots in layer 0-10 cm. up to 76-88%. Field of Khonuu, with mixed and squirreltail barley hayfield, contained underground nitrogen – up to 33 kg/ha and labile phosphorus – up to 71 kg/ha. Increased accumulation of labile phosphorus root mass provides enhancement of cold resistance ability in conditions of the subarctic zones of Yakutia
The article reveals analysis of varietal and age structure of vineyards occupied by 29 varieties and clones of the technical direction of use in the branch "Alushta" of FSUE "PJSC "Massandra". Taking into account the ecological and climatic conditions of the Alushta valley and the specialization of the economy, the largest share in the assortment of technical varieties is occupied by red grape varieties: Cabernet Sauvignon and clones of Cabernet Sauvignon R5, R8, VCR8, No. 169 including (26.68%), Bastardo Magarachsky and Bastardo clone VCR1 (12.06%), Saperavi (7.33%), Krasnostop zolotovsky (5.69%), Merlot and clone Merlot R3 (4.62 %). White varieties are in a smaller percentage: white Muscat and white Muscat clone R3 (8.47 %), white Kokur (7.1%), Aligote (3.82%), Semillon and clones Semillon № 173 and № 299 (3.68%), Gars level (2.99%). Plantings in the most productive age of 6-10 and 11-15 years are 57.5 % of the total area. At the same time, the share of introduced clones of varieties accounts for 26.65 %. In General, the age structure of the vineyards is acceptable. The company produces high quality wine materials for production of traditional Federal state unitary enterprise "PJSC "Massandra" wines: white Port Alushta, Alushta red Port, pink Port Alushta, Alushta red Table, Pinot Gris, Massandra, Madera Crimean Alushta Tokay, white Muscat, Massandra Kokur, Semillon Alushta and sherry wine. In addition, there are new brands of semi-sweet white and red wines Pearl Massandra, as well as varietal wine materials Aligote, Cabernet, Sauvignon, Merlot, Saperavi, Chardonnay, Bastardo and Semillon. Analysis of the assortment shows that in the production plantings of "Alushta" branch of FSUE "PJSC "Massandra" there are varieties of medium and late ripening, which does not create peaks during harvesting and processing, ensuring uniform flow of raw materials for winemaking. It is necessary to expand the assortment of the economy due to a number of promising varieties of Syrah, Petit Verdot, Malbec, Sangiovese and others with a complex of economically valuable properties introduced from other regions
In Reineke Island (Primorskii Krai, Vladivostok, Peter the Great Bay, Sea of Japan) alien species for Russia’s Far East Centaurea jacea L. (Asteraсеае) were first discovered in the 1980th in a small amount. Now, 40 years later distribution of C. jacea is limited to small sites of secondary grass meadows and disturbed habitats of roadsides unpaved roads for approximately 0.03% of the island; the level of its invasive activity is low; C. jacea threats currently is not for the biodiversity of plant community and forage value of meadows
In this article, the influence of foliar treatments with complex fertilizers (Polimiks-agro, Sprühdünger 2) and a growth regulator (SeaweedMix) in the cultivation of rootstocks and seedlings given the concentration of drugs and phase of plant development. The positive effect of fertilizer "Polimix-agro" on physiological processes in plants of SC2U apple rootstock in the formation of adaptive resistance to abiotic stresses of the summer period, where the best water-holding capacity of the leaves than in the control. It was found that a single non-root feeding in the uterine growth regulator called SeaweedMix when reaching rootstocks height of 10-15 cm, allows to increase the yield by increasing the growth activity, increase the standard of layering with a decrease in the number of lateral branches, as well as 3-fold non-root fertilizing fertilizer Sprühdunger 2 provided an increase in the quality of rootstocks on the diameter of the trunk and height
The article discusses the change in the magnetic properties of soils of different agricultural use, depending on the conditions of soil formation. The objects of study are leached chernozem of Western Ciscaucasia, meadow chernozem and meadow bog soils of rice agrolandscapes. The results showed that with an increase in the degree of hydromorphism, the magnitude of the magnetic susceptibility of the soil decreases. The leached chernozem has the highest magnetization of the profile. In soils formed under the influence of hydromorphic soil formation, magnetic susceptibility is reduced by 3.0-3.5 times in rainfed conditions and deposits, and by 6.0-12.0 times in soils of rice agrocenoses
The article presents the results of the fertilizers use effect on dry wine materials produced from the Chardonnay variety, grown in the Anapo-Taman soil and climatic zone of the Krasnodar region, Russia. As a result of wine materials analysis, increase of tartaric acid was noted, with the autumn application of phosphorus-potassium fertilizers and the spring application of ammonium nitrate. At the same time, its optimum content was noted with nitroammophos. Also, the minimum concentration of malic acids was detected by the application of nitroammophos with potassium fertilizers. In its turn, early spring application of ammonium nitrate reduced the concentration of malic acid below the control sample (without fertilizers). It was revealed that the use of mineral fertilizers in this winemaking zone also contributed to a reduction of lactic acid in the must. At the same time, the application of nitroammophos (especially together with other mineral fertilizers), contributed to the accumulation of citric and succinic acids, as well as phenolic compounds. Moreover, the application of phosphate-potassium fertilizers in the autumn contributed to the accumulation, and, consequently, also to the increase in the content of phenolic compounds in the resulting must. In addition, the studied samples of wine materials contained high alcohol concentrations and low concentrations of sugars with volatile acids. At the same time, the maximum amount of alcohol exceeding its content in the control sample was revealed when phosphorus-potassium fertilizers were used together with nitroammophos fertilizers. It is also noted that the application of ammonium nitrate did not affect this indicator. As a result, the use of mineral fertilizers in the studied concentrations made it possible to prepare wine materials that contained a low concentration of sulfur dioxide, which is substantially lower than the harmful concentration for humans. In addition, increased concentrations of hydrogen ions in variants with the application of phosphate-potassium fertilizers have made it possible to reduce the number of iron tanates and the intensity of oxidation-reduction processes
The purpose of the article is to use automated system-cognitive analysis (ASC-analysis) to study the impact of agrotechnological factors on the yield and quality of wheat and the use of the created models to solve the problems of forecasting, decision support and research of the simulated domain through the study of its model. To achieve this goal, the following tasks are set and solved, obtained by decomposition of the goal and are the stages of its achievement: Task 1: to formulate the idea and concept of solving the problem; Task 2: to justify the choice of method and tool for solving the problem; Task 3: to apply the selected method and tool to achieve this goal: cognitive structuring of the subject area; formalization of the subject area; synthesis and verification of the model; improving the quality of the model and the choice of the most reliable model; solution in the most reliable model of diagnostic problems (classification, recognition, identification), decision support and research of the simulated subject area by studying its model. Task 4: describe the effectiveness of the proposed solution. Task 5: to consider the limitations and shortcomings of the proposed solution to the problem and the prospects for its development by overcoming these limitations and shortcomings. A detailed numerical example of solving the problems based on 217 real examples of wheat cultivation in the fields of the Krasnodar region is given. For readers, it is possible to download this numerical example and install it on your computer to study
Slicesize soil is a kind of degradation of its changes. They are characterized by high density, hardness and other characteristics that reduce their effective fertility. Many authors have noted the progression of the process of fusion, which is associated with global warming, with over – compaction due to the unjustifiably frequent use of heavy equipment, irrigation-that is, with the direct impact of abiotic and anthropogenic factors on the pedosphere. Economic use – the strongest anthropogenic factor capable to bring the debugged mechanism of functioning of system out of action if not to observe scientifically-proved rules of agrotechnics. As a result of such intervention, the ecosystem is unable to independently neutralize negative deviations (consequences of anthropogenic impact) from the natural course of the processes of exchange of matter and energy. Therefore, the structure of agrocenoses should be as close as possible to the structure of natural biocenoses, namely: as fertilizers use more organic (manure, green fertilizers); to minimize the mechanical impact on the soil during its processing; to avoid such irrigation regime, which involves excessive soil moisture and its complete drying