The researchers obtained data on the morphological, biochemical and trace element composition of the blood of bull-calves of Hereford breed of different sizes. In this regard, scientists and business executives have three natural questions: 1) whether it is possible to predict the size and thus the meat productivity of bulls using these blood indicators; what are the strength and direction of the influence of certain values of blood indicators on the size and weight of bulls; what blood indicators are similar in meaning, and what are different and how much (to what extent). The article is devoted to the reasoned answers to these questions by applying modern methods of mathematical and numerical modeling to solve the corresponding problems. The results of the study can be used by anyone, due to the fact that Eidos the universal automated system, which is a tool of ask-analysis, is in full open free access on the author's website at: http://lc.kubagro.ru/aidos/_Aidos-X.htm, and numerical examples of solving the mentioned problems with the use of artificial intelligence technologies are placed as a cloud Eidos-application #133

In the diagnosis of subclinical, serous and catarral mastitis of cows a wide range of microorganisms has been isolated, including the genera Streptococcus (Str. disgalactiae, Str. agalactiae, Str. pyogenes), Staphylococcus (St. aureus, St. epidermidis) Ð¸ E. coli. When treating cows with mastitis with argovit, the average duration of treatment for animals was2.9 +0.1, 3.3 + 0.3, 4.1 +0,2 days, which is 1.6, 1.9, 1.8 times less compared with the drug spectromast in the control group. The effect of argovit containing silver nanoparticles on antibiotic sensitivity in selected microflora in the treatment of subclinical, serous and catarrhal mastitis of cows was studied. Studies conducted to determine the antibiotic sensitivity of isolated microorganisms after the treatment of mastitis of cows showed the dependence of the results, both on the drug used and on the clinical form of the disease. It has been established that the use of spectromast causes a pronounced decrease in19 (76%) preparations with subclinical, 24 (96%) serous and 23 (92%) catarrhal mastitis. It was also noted that with the development of the pathological process, an increase in the appearance of previously absent resistance to antibacterial drugs was observed with subclinical6 (24%), serous 7 (28%), catarrhal 8 (32%) mastitis of the cows. While using argovit, an increase in antibiotic sensitivity to 21 drugs (84%) in subclinical, 24(96%) in serous and 23 (92%) catarrhal mastitis was revealed. In the treatment of subclinical mastitis in the experimental group, a slight decrease was observed for 4 (16%) drugs

Meat Academy website http://meatinfo.ru has a comparative table of breeds of cattle on 8 indicators, from which 2 are text and 6 are numerical http://meatinfo.ru/info/show?id=197. It is a natural question for business executives, which of these breeds are similar throughout the system of indicators characterizing them, and which ones differ and to what extent. There is also the question of which indicators are similar and different in meaning and by how much. This article is devoted to the solution of these problems. The results of the study can be used by anyone, due to the fact that Eidos the universal automated system, which is a tool of ask-analysis, is in full open free access on the author's website at: http://lc.kubagro.ru/aidos/_Aidos-X.htm, and numerical examples of solving the mentioned problems with the use of artificial intelligence technologies are placed as a cloud Eidos-application #131

Coloring the plumage of chickens is a complex genetically determined sign. The study of the interactions of the main genes of chicken pigmentation was started by A.S. Serebrovsky. The most complete information on the genes of coloring plumage of chickens and down of chickens is given by Z.M. Kogan, indicating the clutch groups and the arrangement of these genes on the chromosome map. In the 1990s, the interaction of color genes, pen pattern and modifier genes affecting the intensity of the main color and pattern of the pen was described in detail. It was found that in pigs the pigmentation is regulated by the MC1-R melanocortin receptor associated with the locus E. Due to molecular studies, loci of dominant white color (I), recessive white color (c / c), striped pen pattern (B) adherent to the floor , and spotted spot locus (mo). The final phenotype depends not only on individual genes, but also on their interactions and the genetic environment as a whole. The same genes can produce different patterns and shades of the main plumage, and different genes determine the same phenotypes. Despite the fact that there was significant progress in determining the molecular causes of the appearance of a particular type of color in chickens, much remains to be learned

This article briefly discusses a new innovation (brought to a level that ensures its practical use) method of artificial intelligence: automated system-cognitive analysis (ASC-analysis) and its programmatic toolkit which is called intellectual system "Eidos". A detailed numerical example of the solution demonstrating the technology of creating a veterinary diagnostic test of gastrointestinal diseases of horses is given. As the source data, we use data from the UCI repository, kindly given by Mary McLeish and Matt Cecile (Department of computer science of University of Guelph, Ontario, Canada N1G 2W1, with the support of a sponsor: Will Taylor. The developed test is used to solve the problems of diagnosis, decision support and examining the simulated subject area by studying its model. The results of the study can be used by anyone, due to the fact that Eidos the universal automated system, which is a tool of ask-analysis, is in full open free access on the author's website at: http://lc.kubagro.ru/aidos/_Aidos-X.htm, and numerical examples of solving veterinary problems with the use of artificial intelligence technologies are placed as a cloud Eidos-application 129

Antibacterial chemotherapeutic drugs, which include antibiotics and synthetic antimicrobial agents, are widely used in veterinary medicine for the prevention and treatment of diseases caused by microorganisms. Antibacterial agents can be classified by type of action and chemical structure. It is also known that when several drugs are used in combination with each other, they interact within the body with each other, which can lead to strengthening or weakening of their action. For these reasons, it is of scientific and practical interest to develop a classification of antibiotics by their characteristics and principle of action (task 1), as well as by mutual compatibility (task 2). The article solves these problems using a new method of agglomerative cognitive clustering, implemented in automated system-cognitive analysis (ASK-analysis). This method of clustering has a number of advantages over the known traditional methods of clustering. These advantages allow us to obtain clustering results that are understandable to specialists and amenable to meaningful interpretation, which are well consistent with the experts ' assessments, their experience and intuitive expectations, which is often a problem for classical clustering methods. The article provides detailed numerical examples of solving two problems. The universal automated system called "Eidos", which is a tool of ASK-analysis, is in full open access on the author's website: http://lc.kubagro.ru/aidos/_Aidos-X.htm. Numerical examples of solving veterinary problems with the use of artificial intelligence technologies are placed as cloud Eidos-applications and are available to everyone

The article represents the results of studying the spatial-dynamic factors and revealing the regularities of the global spread of Lumpy skin disease in cattle. The developed risk analysis and epizootological forecast provides the keeping up with a multi-year trend for the growth of epizootic tension in this disease for the period up to 2030. The highest probability of disease registration from 0.6 to 1.0 is predicted for the tropical agroecosystems of the African continent (enzootic zone) in 2018-2030. There is a real risk of disease in neighboring countries of Eurasia with the probability is less than 0.4. In the Russian Federation, outbreaks can occur in all federal districts of the country, but the highest probability of its occurrence is possible in agroecosystems of the subtropics of the North Caucasus and Southern Federal Districts of the country

In the article, on a small numerical example, we consider the similarity and difference of symptoms and syndromes according to their diagnostic meaning, i.e. according to the information they contain about the belonging of conditionals of animals to different nosological images. This problem can be solved for veterinary with the use of a new method of agglomerative cognitive clustering, implemented in Automated System-Cognitive analysis (ASC-analysis). This method of clustering differs from the known traditional methods in: a) in this method, the parameters of the generalized image of the cluster are calculated not as averages from the original objects (symptoms) or their center of gravity, but are determined using the same basic cognitive operation of ASC-analysis, which is used to form generalized images of the classes based on examples of objects and which really correctly provides a generalization; b) the similarity criterion is not the Euclidean distance or its variants, but the integral criterion of non-metric nature: "the total amount of information", the application of which is theoretically correct and gives good results in unortonormated spaces, which are usually found in practice; c) cluster analysis is carried out not on the basis of initial variables, frequency matrices or matrix of similarity (differences), depending on the units of measurement on the axes (measurement scales), but in cognitive space, in which one unit of measurement is used for all axes: the amount of information, and therefore the results of clustering do not depend on the initial units of measurement of features of objects. All this allows us to get the results of clustering, understandable to specialists and amenable to meaningful interpretation, well-consistent with the experts ' assessments, their experience and intuitive expectations, which is often a problem for classical clustering methods

The article deals with the similarity and difference of nosological images in veterinary medicine using a new method of agglomerative clustering implemented in Automated system-cognitive analysis (ASC-analysis) on a small numerical example. This method is called Agglomerative cognitive clustering. This method differs from the known traditional facts: a) parameters of a generalized image of the cluster are computed not as averages from the original objects (classes) or their center of gravity, and are defined using the same underlying cognitive operations of ASC-analysis, which is used for the formation of generalized images of the classes on the basis of examples of objects and which is really correct and provides a synthesis; b) as a criterion of similarity we do not use Euclidean distance or its variants, and the integral criterion of non-metric nature: "the total amount of information", the use of which is theoretically correct and gives good results in non-orthonormal spaces, which are usually found in practice; c) cluster analysis is not based on the original variables, matrices of frequency or a matrix of similarities (differences) dependent on the measurement units of the axes, and in the cognitive space in which all the axes (descriptive scales) use the same unit of measurement: the quantity of information, and therefore, the clustering results do not depend on the original units of measurement features. All this makes it possible to obtain clustering results that are understandable to specialists and can be interpreted in a meaningful way that is in line with experts' assessments, their experience and intuitive expectations, which is often a problem for classical clustering methods

The article is devoted to the method of selecting
quails. Intensive development of re-fishing requires the
development of breeding methods for selecting birds
and to carry out early predictions of egg production.
Targeted breeding selection is able to influence the
mechanisms of correlation dependencies between
individual parts of the animal's organism, significantly
change even firmly established interrelations, and
create new interactions more satisfying the needs of
the individual. The research task consisted of
establishing links between the parameters of the
skeleton and the productive qualities of the layers. The
studies were conducted on Texas white quails. We
took into account the live weight of the bird, the length
of the metatarsal and the third finger, as well as the
small and large diameters of the metatarsal.
Correlations were established between the length of
the pelvic limbs and the live weight of young quails
during growth. It is established that the growth of the
skeleton ends with the age of onset of puberty. This
provides a basis for predicting the live weight,
depending on the length of the pelvic extremities. It is
established that the live mass is directly related to the
egg productivity of quails. Thus, by selecting the birds
with the longest plus, it makes it possible for 25 weeks
of productivity to increase the egg laying on the initial
layer by 5,7 eggs and 6,2 eggs per average laying hen,
respectively