Background and Aim: Staphylococcus aureus is the most frequent and ubiquitous cause of mastitis in cows. In recent decades, antibiotic resistance has rapidly spread among infectious disease pathogens in Kazakhstan and globally. This study examined the phenotypic and genotypic resistance of S. aureus strains obtained from cattle milk to antibiotics. Materials and Methods: In 2021 and 2022, 675 cow milk samples were collected from 16 dairy farms in Northern Kazakhstan. Staphylococcus aureus was identified using culture and biochemical methods. The nature of antibiotic resistance was determined by the disk diffusion (DD) method. The distribution of antibiotic resistance genes was determined by polymerase chain reaction. Results: Among the obtained S. aureus isolates, high levels of resistance to β-lactam antibiotics (100%), tetracyclines (95.4%), fluoroquinolones (95.4%), and macrolides (60.92%) were observed. Meanwhile, the lowest levels of resistance were identified for sulfonamides (21.84%) and aminoglycosides (27.59%). All the obtained isolates were positive for the nuc gene encoding thermonuclease. The blaZ, ermC, and tetK genes were detected in 45.9%, 77%, and 83.9% of the studied S. aureus isolates, respectively. Conclusion: The results indicate a high prevalence of antibiotic resistance in S. aureus isolated from cows with clinical and subclinical forms of mastitis in Northern Kazakhstan. In addition, the prevalence of resistance was higher when evaluated by the DD method than when detecting the specific antibiotic resistance genes blaZ, tetK, and ermC, indicating the need for deeper analysis of the phenotypic and genetic determinants of antibiotic resistance. Keywords: antibiotic resistance genes, cow milk, polymerase chain reaction, Staphylococcus aureus strains.

Background and Aim: In recent years, Kazakhstan has increasingly imported breeding cows for dairy and beef production. To maintain and improve their breeding qualities of reproductive function, it is necessary to constantly monitor the herd reproduction system. The aim of this study was to increase the level of herd reproduction by introducing innovative technologies into dairy farms in Northern Kazakhstan. To achieve this goal, the AlphaVision visual insemination system (IMV Technologies, France) was used, aiding to improve the artificial insemination method in farms in Northern Kazakhstan and increased the breeding rate using sexed semen to inseminate cows. In addition, the AlphaVision device was used in the differential diagnosis of certain diseases of the reproductive organs of cows. Materials and Methods: The object of the study was 200 cows (3-5-year-old) and 100 heifers (16-18-month-old) of Holstein breed. The authors carried out a comparative analysis of biotechnological methods of reproduction – the cervical method insemination with rectal fixation of the cervix (traditional method of insemination) and the AlphaVision visual insemination system, and the effectiveness of AlphaVision for diagnosing some reproductive tract abnormalities in cows was studied. In the experiment on conducting artificial insemination through AlphaVision, we have used both normal (two-sex) and sexed semen. Results: When using the AlphaVision visual insemination system, a higher percentage of fruitful insemination was noted (20.7%) than when using the traditional method. The images obtained with AlphaVision made it possible to identify cows with abnormal sexual cycles, signs of vaginitis, endometritis, cervicitis, and differentiate them by the nature of the exudate. In many cases, visual examinations of the vagina and cervix are not carried out before the traditional method of artificial insemination. For this reason, some vaginal and cervical abnormalities are not diagnosed, resulting in reduced fertility in cows. We have found that the number of genital abnormalities has increased by 30% with the increasing age of cows. Obstetric and gynecologic pathologies in high-yielding cows are noted in more than 50% of the herd. A comparative assessment of clinical manifestations of cervicitis and other pathologies of reproductive organs, using the AlphaVision visual insemination system, has been carried out for the identified diseases. With the traditional method of insemination with conventional semen, the calf yield per 100 cows for the period 2016-2019 has been 65-80% and with sexed semen 30-50%. With AlphaVision in 2020, the insemination rate was 85% conventional and 60% sexed, respectively, which was 5% and 10% higher than with conventional insemination. This was due to the improved diagnosis of some reproductive diseases in cows. Conclusion: The introduction of innovative technology, namely, the visual insemination system AlphaVision, into the practice of dairy farms in Northern Kazakhstan increased the level of the herd reproduction system.

The Kustanay horse is a riding breed developed in Kazakhstan whose genetic diversity and differentiation remain insufficiently studied. We assessed genetic diversity and population structure using 16 autosomal STR loci from a 17-locus panel comprising 12 ISAG core markers. Of 765 genotyped horses, 703 remained after excluding duplicate records and close relatives; the X-linked LEX3 locus was excluded from population analyses. Five groups were studied: registered Kustanay (KST, n = 32), Kustanay from Qazaq Tulpary (KT, n = 36), Thoroughbred (TB, n = 31), Kustanay crossbred (CROSS, n = 9), and undocumented origin (UB, n = 595). Expected heterozygosity was high across groups (H_E = 0.661–0.725). Overall F_ST was 0.0088, and AMOVA attributed 99.13% of molecular variance to variation within individuals. The Puechmaille estimators favored K = 2, whereas Evanno ΔK peaked at K = 4; neither solution revealed clear separation among groups. Nei’s genetic distances and PCoA were consistent with weak differentiation and similarity between registered Kustanay and undocumented horses. Unequal group sizes limit interpretation, and these findings do not establish breed identity for individual undocumented horses. The results inform pedigree recording and conservation planning.