№ 110(6), June, 2015
Public date: 30.06.2015
Archive of journal: Articles count 121, 265 kb
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Description
The article provides an overview of the phytosanitary condition of crops for 2011-2014 g in the Krasnodar region. In recent years, we can observe increasing of the crop losses from pests and diseases of plants. The using of different pesticides in intensive cultivation technologies of winter wheat can’t resist this. Pathogenic microorganisms acquire resistance to drugs used and become more aggressive. This creates a lot of environmental problems. Plants are almost always under environmental stress. However, it is impossible to refuse of pesticides. And they are not able to observe the immune system of the plant, and in some cases inhibit it. The present level of development of science has led to the emergence of new methods of plant protection, which is based on increasing of the capacity of the immune plants, rather than the destruction of pathogens, as in the case of the use of pesticides. We propose to apply so called "agrochemical cocktails"
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Description
Studying the situation and the impact on mountain landscapes of Caucasus allows by means of measurements to establish the most important sources of pollution, to identify the main forms of pressure (emissions, solid wastes, etc.) on the natural landscapes and agricultural systems, to develop a monitoring program with allocation the main objectives and most important tasks of its implementation. The main purpose of monitoring – is to collection of basic information, which will be aimed at addressing specific environmental problems for improvement soil cover on northern slopes of Caucasus and protect it from water erosion. The monitoring program allows getting information, which is due specific problem and conditions of certain area. The main tasks of monitoring the soil cover of northern slopes include concrete achievements in solving problems. At the beginning of monitoring follows determine the range of issues under study. More than often limited resources strictly dictate the need to reduce of measurement program, but always save quality of received material. For solving this problem we have to define the polygons of monitoring and select the objects that are affected by anthropogenic and natural factors. Considering defined technique, it is possible to evaluate the direction of development of particular ecosystem under the influence of a specific mode of action
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ALLELIC VARIANTS AND EXPRESSION CANDIDATE GENES FOR ABDOMINAL FATMASS IN CHICKENS
DescriptionThe expression of nine candidate genes for QTL abdominal fat weight and relative abdominal fat content was investigated by real-time polymerase chain reaction (PCR) in the liver, adipose tissue, colon, muscle, pituitary gland and brain of broilers. The high mobility group AT hook1 (HMG1A) gene was up-regulated in liver with aratio of means of 2,90 (P≤0,01) in the «fatty» group (relative abdominal fat content 3,5±0.18%, abdominal fat weight 35,4±6,09 g) relative to the «lean» group (relative abdominal fat content 1,9±0,56%, abdominal fat weight 19,2±5,06 g). Expression of this gene was highly correlated with the relative abdominal fat content (0,70, P≤0,01) and abdominal fat weight (0,70, P≤0,01). The peroxisomeproliferator-activated receptor gamma (PPARG) gene was also up-regulated in the liver with a ratio of means of 3,34(P≤0,01) in the «fatty» group relative to the «lean» group. Correlation of its expression was significant with both the relative abdominal fat content (0,55, P≤0,05) and the abdominal fat weight (0,57, P≤0,01). These data obtained and the data of references will allow the statement that the HMG1A, PPARG and FABP2 genes were candidate genes for abdominal fat deposition in chickens. Searching of rSNPs in regulatory regions of thesegenes could provide a tool for gene-assisted selection
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WORLD AMPELOGRAPHICAL COLLECTION: NNIIViV "MAGARACH" AND SKZNIISiV
DescriptionThe article describes the history of the institute called "Magarach" and the formation of the world's ampelographic collections in the Crimea and Kuban, provides data on the genetic diversity of the original parent Crimean collection of grape, carries out the impact of its long-term ampelo-breeding and genetic work. We have found the best ampelo-genetic rennets, both in the Crimea (zoned in Russia and abroad varieties of Academician Avidzba, Pervanets Magaracha, Jubilee Magarach, Antei magarachsky, Nimrang ustoichivii, Podarok Magaracha, Riesling Magaracha Novoukrainsky Rannii, Granatovii Magaracha, Krymchanin, Rkatsiteli Magaracha, Spartanets Magaracha, Tavkveri Magaracha, Citronnii Magaracha, promising varieties Livya, Solnetchnaja grozd, etc..) and in the Kuban region. Magarach ampelographic collection was and still is the parent of many national collections of gene pools of, the former Soviet republics, including the Russian Federation as well: Anapa ampelographic collection in the North Caucasus NIISiV has 3356 samples collected from 41 countries, including ones from the institute of "Magarach" (about 40%). Using its base we had a comprehensive biological and economic evaluation of the outstanding genotypes for ampelo-genetic and clonal selection – such as zoned Bogotyanovsky, Helios, Dolgogdannii, Kubattik, Libya K, Arathi, Preobragenie, Rochefort K, Chrizolit, Citrine, Anthracite, promising varieties Annie, Baikonur, Gourmet Kra, Memory Master Nesvet Gift, Jubilee Novocherkasska, etc.
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Description
The article presents a study on agro-biological and technological indicators of Don indigenous wine grapes in the conditions of the Anapa-Taman area of the viticulture of the Krasnodar region. It was found that the introduced varieties are consistent with the conditions of the area and can be recommended for growing in production plantations in southern Russia. On ripening, the varieties are as follows: the early ripening varieties are Sibirkovy; a group of middle-ripening - Aligote, Plechistik, Varyushkin; to the medium-late - Bessergenevsky 10 and Krasnostop Anapsky. Highest yield was proved to for such grape varieties as Bessergenevsky 10 (150 kg / ha) and Varyushkin (140 kg / ha). Test grapes of Aligoté and Krasnostop Anapsky showed an average yield of 120 and 130 kg / ha, respectively, red and Sibirkovy Plechistik - 140 and 135 kg / ha. Comparing the current literature with the results, we noted the following notable differences: all the studied indigenous wine grapes in the conditions of the Anapa-Taman area of the Krasnodar region matured earlier, had higher productivity indexes and gave higher yields, than in the conditions of their homeland Rostov region
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Description
This publication examines the relationship between the structure of molecules of complexing (descriptors of electronic structure), which are used as inhibitors of hydrogen embrittlement of the steel grade St3, and the content of absorbed hydrogen in model samples-plates made of the above steel. The form of expression of this relationship is the correlation coefficient (CC) by Pearson
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01.00.00 Physical-mathematical sciences
01.00.00 Physical-mathematical sciences
DescriptionWithout science it would be impossible to form a full environmental consciousness. To increase the validity and weight of the findings on the impact of environment on quality of life, it is necessary to quantify the strength and direction of the influence of diverse environmental factors. However, it appears that this is quite problematic for a number of reasons. First, it is the lack or inaccessibility of source of data which is necessary for such type of research. The same data, which still can be found cover just small periods of observations (small longitudinal research data), and their completion, including performing experiments, is fundamentally impossible. As a result, it is impossible to require such full data replications, which is a necessary condition for correct applying of factor analysis. Secondly, environmental factors are described with heterogeneous indices measured in different types of measurement scales (nominal, ordinal and numerical) and in different measurement units. Mathematical methods of comparable processing of such data, and the right software tools for these methods, generally speaking, do not exist. Third, these tasks are large-scale problems, i.e. they are not talking about 5 or max 7 factors as it was in factor analysis, but about hundreds and thousands. Fourthly, the original data is noisy and require sustainable methods. Fifthly, environmental factors are interrelated and require nonlinear nonparametric approaches. To solve these problems it is proposed to apply a new innovative intelligent technology: automated system-cognitive analysis and its software tool – a system called "Eidos". We have also given a brief numerical example of assessing the impact of environmental factors on life expectancy and causes of death
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01.00.00 Physical-mathematical sciences
DescriptionIn the article the application of systemic-cognitive analysis, its mathematical model - the system theory of the information and its program toolkit - "Eidos" system for synthesis of the generalized images of classes, their abstraction, classification of the generalized images (clusters and constructs) comparisons of concrete images with the generalized images (identification) are examined. We suggest a new approach to the digitization of images, based on the use of the polar coordinate system, the center of gravity of the image and its contour. Before digitizing images we can use their changes to standardize the position of the picture-frames, their size and rotation. Therefore, if you specify this option, the results of digitization and image ASC-analysis can be invariant (independent) to their position, size and rotation. This means that in the model on the basis of a number of specific examples we will create one image of each class of images, independent of their specific implementations, i.e., the "Eidos" of these images (in the sense of Plato) - a prototype or archetype (in the Jungian sense) images. But the "Eidos" system provides not only the formation of prototype images, which quantitatively reflects the amount of information in the image elements of the prototype, but the removal of all irrelevant to identification (abstraction), and the comparison of specific images with generic (identification) and the generalized images of images together (classification). The article provides a detailed numerical example of ASC- analysis of images
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01.00.00 Physical-mathematical sciences
DescriptionCurrently, the majority of scientific, technical and economic studies use statistical methods developed mainly in the first third of the XX century. They constitute the content of common textbooks. However, mathematical statistics are rapidly developing in the next 60 years. In some situations there is a need of the transition from classical to modern methods. As an example, we discuss the problem of testing the homogeneity of two independent samples. We have considered the conditions of applicability of the traditional method of testing the homogeneity based on the use of Student's t-statistic, as well as more up-to-date methods. We describe a probabilistic model of generation of statistical data in the problem of testing the homogeneity of two independent samples. In terms of this model the concept of "homogeneity" ("no difference"), can be formalized in different ways. High degree of homogeneity is achieved if the two samples are taken from one and the same population (absolute homogeneity). In some cases it is advisable to testing the coincidence of some characteristics of the elements of the sample - mathematical expectations, medians, variances, coefficients of variation, and others (testing the homogeneity of characteristics). To test the homogeneity of mathematical expectations is often recommended classic t-test. It is believed that the samples taken from a normal distributions with equal variances. It is shown that for scientific, technical and economic data the preconditions of two-sample t-test usually are not performed. To test the homogeneity of mathematical expectations instead of t-test we have offered to use the Cramer-Welch test. We have considered the consistent nonparametric Smirnov and Lehmann-Rosenblatt tests for absolute homogeneity
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BASIC RESULTS OF THE MATHEMATICAL THEORY OF CLASSIFICATION
01.00.00 Physical-mathematical sciences
DescriptionThe mathematical theory of classification contains a large number of approaches, models, methods, algorithms. This theory is very diverse. We distinguish three basic results in it - the best method of diagnosis (discriminant analysis), an adequate indicator of the quality of discriminant analysis algorithm, the statement about stopping after a finite number of steps iterative algorithms of cluster analysis. Namely, on the basis of Neyman - Pearson Lemma we have shown that the optimal method of diagnosis exists and can be expressed through probability densities corresponding to the classes. If the densities are unknown, one should use non-parametric estimators of training samples. Often, we use the quality indicator of diagnostic algorithm as "the probability (or share) the correct classification (diagnosis)" - the more the figure is the better algorithm is. It is shown that widespread use of this indicator is unreasonable, and we have offered the other - "predictive power", obtained by the conversion in the model of linear discriminant analysis. A stop after a finite number of steps of iterative algorithms of cluster analysis method is demonstrated by the example of k-means. In our opinion, these results are fundamental to the theory of classification and every specialist should be familiar with them for developing and applying the theory of classification