№ 160(6), June, 2020
Public date: 30.06.2020
Archive of journal: Articles count 15, 43 kb
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06.01.01 General agriculture, crop production (agricultural sciences)
DescriptionThe work shows the effect of the Regalis preparation on the formation and biochemical composition of organs of apple tree plants (using the Gala variety as an example). Experiments were carried out in 2016-2019. Field experiments were carried out in JSC company "Agrocomplex" named after N.I. Tkachev in the Vyselkovsky district. Planting bookmark - 2007. Tree planting scheme 4.0 × 1.0 m., Irrigation - drip. The soil of the study area is ordinary chernozem (carbonate). It was found that under the action of treatments with the Regalis preparation significant changes are recorded in the structure of fouling wood and the area of the sheet apparatus. The use of a growth regulator helps to accelerate the completion of tree growth processes. This is evidenced by a decrease in the content of IAA in the tops of shoots, by 12% in comparison with the control. The “Regalis” had a significant impact on ensuring the stable fruiting of plants of the Gala apple tree. The annual one-three-time treatment of trees with this preparation in a dose of 1.25 kg / ha provided a stable increase in yield to 14.2-16.3 kg from one tree. Moreover, on average for four years, the best results were recorded in the variant with 2-fold treatment with Regalis (16.3 kg-tree). Further analysis of the yield and commercial qualities of the obtained fruits showed that two and three-fold processing contributed to the production of fruits from 38.5 to 40.8 t / ha, which is 10-11.7 t higher than the control, while increasing the yield of marketable fruits up to 13.3 - 14.0 tons
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05.20.01 Technologies and means of mechanization of agriculture (technical sciences)
DescriptionIn modern combine building over the past few years, there has been a trend towards increasing the productivity of machines and, as a consequence, their physical weight. However, as the weight of the combine harvester increases, the necessary condition for its movement in the field in the course of work is to meet the requirements for its support area. As a result, manufacturers have to increase the size and number of wheels of the machine. One solution to this problem is to replace the wheelset of agricultural machines with replaceable rubber track modules. In this case, the very principle of calculation of the main technical characteristics of the engine changes, and if we are talking about the drive axles of agricultural machinery, the calculation methods can be roughly approximated to the calculation of tracked machines with metal tracks. However, in the case of driven axles, there is an intersection in the calculation methods between the classic calculation of the wheel chassis and the calculation of the tracked chassis. The problem is that the tracked chassis are not usually guided like the wheels, so the calculation methods need to be refined by introducing new evaluation criteria because of new power factors in the track module. The article proposes an alternative calculation model to calculate the maximum resistance torque of a track module on a rubber track
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08.00.13 Mathematical and instrumental methods of Economics
DescriptionTraditionally, control decisions are made by solving repeatedly the forecasting problem for different values of control factors and choosing a combination of them that ensures the transfer of the control object to the target state. However, real control objects are affected by hundreds or thousands of control factors, each of which can have dozens of values. A complete search of all possible combinations of values of control factors leads to the need to solve the problem of forecasting tens or hundreds of thousands or even millions of times to make a single decision, and this is completely unacceptable in practice. Therefore, we need a decision-making method that does not require significant computing resources. Thus, there is a contradiction between the actual and the desired, a contradiction between them, which is the problem to be solved in the work. In this work, we propose a developed algorithm for decision-making by solving the inverse forecasting problem once (automated SWOT analysis), using the results of cluster-constructive analysis of the target states of the control object and the values of factors and a single solution of the forecasting problem. This determines the relevance of the topic. The purpose of the work is to solve the problem. By decomposing the goal, we have formulated the following tasks, which are the stages of achieving the goal: cognitive-target structuring of the subject area; formalization of the subject area (development of classification and descriptive scales and gradations and formation of a training sample); synthesis, verification and increasing the reliability of the model of the control object; forecasting, decision-making and research of the control object by studying its model. The study uses the automated system-cognitive analysis and its software tools (the intelligent system called "Eidos") as a method for solving the set tasks. As a result of the work, we propose a developed decision-making algorithm, which is applicable in intelligent control systems. The main conclusion of the work is that the proposed approach has successfully solved the problem
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Description
The article demonstrates the results of therapeutic and preventive effectiveness of the use of lactic acid bacteria – Lactobacillus brevis and Lactobacillus parabuchneri in laboratory animals, in particular mice and rats. They were isolated from the gastrointestinal tract of a wild quail in experimental violation of the intestinal microbial background. Artificial imbalance of the intestinal microbiota of experimental animals was caused by the use of the antibiotic. As a result of tests it was established that the application of probiotic cultures improved microbial disorders of the gut, however, the use of their consortium in the probiotic promoted consistent clinical result characterized by an elevated level of representatives of the normal flora (lacto- and bifidobacteria) and reduction of the number of representatives of pathogenic and conditionally pathogenic microbiota, with subsequent achievement of a level characteristic of healthy animals
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TO THE 100TH ANNIVERSARY OF N. I. VAVILOV’S RULE ON HOMOLOGICAL SERIES IN HEREDITARY VARIABILITY
06.01.05 Selection and seed production of agricultural plants (agricultural sciences)
Description100 years ago, on June 4, 1920, 32-year-old Professor of the Saratov University Nikolai Ivanovich Vavilov (1887-1943) first reported at the III all-Russian selection Congress at the University of Saratov on his discovery of homological series in the study of parallelisms in the phenomena of hereditary variability by analogy with homological series of organic compounds. This discovery in genetics received the rank of law, the only one after the laws of G. Mendel. This major study was a further development of the genetic idea of C. Darwin on the origin of species. It showed the ways in which close species and genera of plants have a parallel formative process, because the crucial in the process of evolutionary development of living organisms – first of all, their genetic features. In cases where the development of a trait requires the joint and consistent action of many genes, the occurrence of homological series is inevitable, and this does not contradict the random variability of C. Darwin. In addition to its great genetic significance as a law of evolution, the law of homological series in hereditary variability is of great importance for botanists, plant breeders and breeders: it not only determines the place of each form in the plant world, but can also indicate to the breeder possible directions in his practical work. According to a number of geneticists and breeders, if G. Mendel discovered the rules of heredity, then N. I. Vavilov discovered the rules of variability