The introgression of race-specific blast resistance genes Pi-ta, Pi-b, Pi-z into genotype of Russian rice variety has been performed by backcross method with marker control of donor alleles. Plants that demonstrated maximal similarity with recurrent parental form, the short vegetation period and abundant panicle fertility have been picked up from BC3-population.
Marker analysis of developed population revealed the samples carrying introduced target genes in homozygote state
Classic quantitative measure of the reliability of the models: F-measure by van Rijsbergen is based on counting the total number of correctly and incorrectly classified and not classified objects in the training sample. In multiclass classification systems, the facility can simultaneously apply to multiple classes. Accordingly, when the synthesis of the model description is used for formation of generalized images of many of the classes it belongs to. When using the model for classification, it is determined by the degree of similarity or divergence of the object with all classes, and a true-positive decision may be the membership of the object to several classes. The result of this classification may be that the object is not just rightly or wrongly relates or does not relate to different classes, both in the classical F-measure, but rightly or wrongly relates or does not relate to them in varying degrees. However, the classic F-measure does not count the fact that the object may in fact simultaneously belongs to multiple classes (multicrossover) and the fact that the classification result can be obtained with a different degree of similarity-differences of object classes (blurring). In the numerical example, the author states that with true-positive and true-negative decisions, the module similarities-differences of the object classes are much higher than for false-positive and false-negative decisions. It would therefore be rational to the extent that the reliability of the model to take into account not just the fact of true or false positive or negative decisions, but also to take into account the degree of confidence of the classifier in these decisions. In classifying big data we have revealed a large number of false-positive decisions with a low level of similarity, which, however, in total, contribute to reducing the reliability of the model. To overcome this problem, we propose a L2-measure, in which instead of the sum of levels of similarity we use the average similarity by different classifications. Thus, this work offers measures of the reliability of the models, called L1-measure and the L2 measure, mitigating and overcoming the shortcomings of the F-measures; these measures are described mathematically and their application is demonstrated on a simple numerical example. In the intellectual system called "Eidos", which is a software toolkit for the automated system-cognitive analysis (ASC-analysis), we have implemented all these measures of the reliability of the models: F, L1 and L2
This article considers the value of inventories for accounting
and analysis. The purpose of the analysis of
material resources is to increase efficiency of production
through rational use of resources. Its inventory
can optimize and improve the organization as a whole
The article continues the cycle of their studies
associated with the formulation and development of
methods of construction of nonnegative solutions of
inverse problems for dynamic systems. In this article
the authors formulated and investigated inverse
problems for dynamic systems: model of Samuelsson–
Hicks. The technique of constructing non-negative
solutions of the studied inverse problems. This method
is based on the following scheme of the solution. First,
we have to identify the formulation of the direct
problem, then the formulation of the inverse. This
work investigates how correct the mathematical
models describing the dynamic economic system are.
Further, in the specified tabular solutions of the direct
problem, we have built a system of algebraic equations
containing the unknown estimated parameters of the
studied model. Then posed inverse problem is reduced
to solution of a problem of quadratic programming, the
solutions of which are defined in MS Excel. The
theoretical material is accompanied by the specific
example
In the article investigation and analysis of various types of flow meter, with the aim of choosing the most reliable gauges for the manufacture of juice are offered. Choosing the flow meter, its integration into the general system of automatic control was also considered. Investigations were carried out in the field of modern measuring techniques for the choice of a measuring complex
The article presents the results of experimental investigations of pneumatic sowing unit of overpressure with a forced encapsulation of a seeding chamber when sowing corn. The analysis of a received mathematical model of dosing is given
The most labor- and energy-intensive part of potato
machine production technology is harvesting which is
done mainly with harvesters. Modern potato
harvesters meet the required efficiency data in
favorable conditions. In erroneous conditions
(primarily characterized by high or low soil moisture)
the efficiency of separating the tubers from impurities
is reduced, and the loss and damage of the products
increase. This situation is due to the imperfection of
the separation device of potato harvesters. Up to 1000
tons of soil per 1 ha is separated at the separation
device in the process of harvesting. As a result, the
potato harvesters capacity on the whole is determined
by their separators output. Nowadays, rod elevators
are most widespread and used. One of the main
drawbacks is the significant increase of tubers
damage in a case of low soil moisture mainly caused
by the contact of the tubers pile with the side frames
of the harvesting machine. From the above reasoning,
one can confirm that the increase of capacity and
functioning quality of potato harvesters’ separation
devices is an urgent scientific-and-technical task of
agriculture
The scientific publications review about a high-frequency electromagnetic field influence on the conductivity, the acidity and the reaction constant of different compounds of water solutions was made. It is shown, that a high-frequency electromagnetic field influence decreases with the impurity concentration growth
The article studies adsorption of ascorbic acid on
KSMG silicagel. The experimental results, the basic
thermodynamic characteristics of ascorbic acid adsorption
on oxide silicon have been used for treatment of
adsorption mechanism of ascorbic acid on silica
KSMG. Results of the study ascorbic acid adsorption
on silica gel KSMG may be used for further identification
of it in the various objects
An analysis was made of the conditions for the formation of runoff floods and floods in river watersheds, which is an important part of the assessment of water and resource potential in floods in river basins. The article proves that in order to protect the territories from flooding in river basins, it is necessary to know the climatic and anthropogenic factors, the hydraulic regime of rivers, the relief of the terrain, the engineering-geological and hydrological conditions for the formation of floods and floods. The forecast of parameters and levels of emergency caused by the spring-summer flood of 2017 is fulfilled. The practical focus of the study is the possibility of developing recommendations for the justification of measures to fight floods