Name
Tretiakova Olga Leonidovna
Scholastic degree
•
Academic rank
associated professor
Honorary rank
—
Organization, job position
Institute of retraining of the staff of agribusiness
Web site url
Articles count: 6
The article reflects the results of the scientific research on creation and implementation of applications in industrial conditions of livestock enterprises of the country. The staff of the laboratory of the development of theoretical bases of selection of animals of Don SAU has created the selective cross-breeding information filter “SIF”. The system is constantly updated with new programs. The analysis of the information accumulated in the system allows to develop the recommendations, to make operational decisions and correct selection of the program
In the article, the technique of an estimation of reproductional qualities of boar- producers with developed by laboratory of development of theoretical bases of selection of animals of Don State Agrarian University selection indexes, is stated in detail. The approbation of the module of an index estimation of the program complex under production conditions of Shelonskiy state farm in Pskov area is carried out
The algorithms of estimating breeding value, allowing increasing its accuracy several times are developed on the basis of establishment of the selection characteristics of existing selection criteria and the definition of the coefficient
The article contains the experience of the development
of the methodology and the computer program for
calculation of regional and local systems of pigs
hybridization at the example of the Rostov region
(Russia). Crossing the GP lines for F1 should be
organized in multiplier farm, which may be separate
farms and to be part of large commercial farms. For
the production of F1 in a multiplier farm, we must
breed a purebred specialized paternal and a maternal
line, selected on the effect of combining ability. For
the successful functioning of the system of
hybridization, it is necessary to build a genetic
pyramid, including breeding and genetic centers
(nucleus farm), multiplier farm, reproducing the
baseline. The article gives a detailed calculation of sow
population of levels of P, GP, GGP for maternal and
paternal breeds of pigs. The program uses user-defined
parameters of pigs productivity, of the simulated
population, and the parameters characterizing the
intensity of selection of young animals. To ensure
annual production of 1,822 million pigs in the Rostov
region it is necessary to provide the availability of
brood stock in the amount of 89 thousand heads, 6 800
heads in the structure of grandparent flocks (GP), 730 heads in the structure of the Grand-Grand-parent stock
(GGP), excluding sows second maternal and paternal
breeds
Nowadays, domestic pig production is dynamically
changing in technological and selection terms and is
one of the most effective sectors. In the current
conditions of pig breeding in intensive technology, the
requirements to the level and direction of pig
production, the rational use of genetic resources are
increasing. The development of effective methods for
the production of pork on the basis of the wide use of
highly productive breeds and types of both imported
and domestic selection allows to obtain the maximum
possible productivity of animals, to produce pork of
good quality, to reduce the cost of production and to
fully realize the genetic potential of animals. Genetic
and selection techniques have significantly changed
the physiological, morphological and productive
capabilities of modern animals. In connection with
this, the actual for the pig industry is the identification
of opportunities to increase the duration of the use of
pigs, and the inclusion of new indicators in breeding
work when creating specialized maternal lines. The
research was carried out on the electronic database
(KP ACC, OOO "Selikom", Ryazan), the breeding
center "Lozovoye" ZAO "Plemzavod-Yubileyniy" of
the Tyumen region. The center is engaged in
thoroughbred breeding and improvement of four pigs:
large white, landrace, pietren, duroc