The high milk productivity of cows with an inadequate feeding level is the cause of many animal diseases. To control protein and energy in feeding ration it may be used as an indicator the milk urea content (Nousiainen, J.K.J. Shingfield, and P. Huhtanen, 2004). The norm of its content is in the range of 15–30 mg% (Smith, J., G. Verkerk, B. McKay, 2000). The purpose of the work was to introduce milk urea indicator in Republic of Kazakhstan by the experience of USA and Canada milk labs. Research work was carried out under project “Improving the breeding methods efficiency.” The studies were carried out using infrared analyzer CombiFoss FT +. The results of the study are shown in table 1. As you can see, milk urea content in Agrofirm Rodina LLP was 34.25 ± 0.29 mg%. Analysis of cows diet in this farm showed, there it was protein excess by 7.9% in comparison with the norms. In the second farm, Esil-Agro LLP, it was a different case. Milk urea content was 11.7 mg%. Low level of urea in this case was the result of energy and protein lack in the diet of dairy cows. It can be concluded that in conditions of dairy farms in the Republic of Kazakhstan, milk urea can serve as reliable indicator of protein and energy level in the diets of dairy cows, monitoring its content will ensure the rational use of expensive protein feeds, preserving animal health and thereby increase the efficiency of milk production.

For effective management of animal breeding, complete, high-quality and reliable information about an individual animal, about the population as a whole, is required. For breeding work, it is necessary to select breeding bulls, the offspring of which have high productivity. The selection of ancestors and offspring of bulls makes it possible to consolidate or consolidate these traits. The aim of the research is to improve the methodology for beef cattlegenetic evaluation. Material and methodology. Beef cattle genetic evaluation implemented by BLUP (Best Linear Unbiased Prediction). Mixed linear biometric models (AM / MME) were built for each assessed productive trait: Birth Weight, Weaning Weight, Milking at Calf Weaning, Yearling Weight. 74,868 animals of the Hereford breed. Percentages describe 5% and 10% share distributions of index values. The EPD values of live weight at birth in 90% of cases lie in the range from “-8.76” to “+18.21”; for live weight at weaning in the range from “-35.73” to “+42.83”; for live weight per year from “-51.45” to “+90.18”. The best and lowest EPD values are in 10% edge intervals relative to the entire set of calculated estimates. The proportional distribution of EPD accuracy in 2020 for the productive indicators of animals born in the period 2014–2020 of the Hereford breed have zero values up to 10%. The smaller number of fractions of non-zero values of the CPI accuracy indicates a more complete and qualitative filling of the database with productive indicators of live masses in recent years. In Kazakhstan, a method for calculating EPD by the BLUP AM method was developed with the construction of a genetic model of an animal and EPDs were calculated according to 5 productive indicators: live weights at birth, at weaning, at 12 months. age, adult animal (age 5 years) and milk production of cows.

A significant increase in pedigree cattle in Kazakhstan has led to scientific work on the conservation of breed genotypes in Kazakhstan and the development of imported breeds. Aim of work: creation a national database and collection of genotyped DNA samples of cattle in Kazakhstan and the introduction of an automated statistical and mathematical calculation of the local pedigree cattle parentage verification. The methodology of work has been the selection of biological samples and registration of data on the animal. DNA and STR locus testing have been performed at the University of Queensland’s Animal Genetics Laboratory (Australia). DNA genotyping was carried out using 21 polymorphic dinucleotide microsatellite loci. The database of DNA genotypes of breeding animals has been written and introduced into the database of breeding livestock in Kazakhstan (www.plem.kz). The method of determining kinship and confirming the origin of the animal was implemented by calculating the probability of random coincidence of genetic markers, taking into account their distribution in the population according to the “product rule.” The frequency distribution of homozygous alleles for 12 microsatellite loci (table 1) recommended by ICAR and 21 DNA loci (table 2) in the context of breeds was calculated, which indicates an increase in reliability when calculating the origin of livestock, with an increase in the number of microsatellite loci studied to 21 markers. The lower probability threshold is established, with 95% statistical significance confirms the relationship between the compared animals (table 3). A database of genotyped DNA samples of beef and dairy cattle breeds in Kazakhstan has been created and is currently used in pedigree beef cattle breeding. Access to the DNA database is provided to Kazakhstan genetic laboratories, and an automated calculation of the mathematical probability of parentage verification for a breeding animal and the generation of a genetic certificate was introduced on the website www.plem.kz

Improving beef quality is important task for livestock in Kazakhstan. Almost all indicators characterizing the quality of carcasses and beef are evaluated after slaughter. Their use in breeding is limited (Legoshin G.P. 2010). For lifetime assessment of carcasses in pedigree and slaughter cattle, Aloka 500B, EXAGO, EVO ultrasonographs are used, using which there is a high coincidence of the lifetime forecast of muscular development over the eye muscle area with the indicator in carcasses after slaughter of animals (Bisembaev A.T. 2019). A high correlation of prognosis of ribeye area with live weight of animals was noted (Lisitsyn A.B. 2010). The aim of the project is to study the effectiveness of in vivo determination of meat quality using an ultrasonic scanning device. Tasks: to determine the ribeye area, the fat of the cattle using an EXAGO ultrasonograph; compare the ribeye area, the fat of the slaughter cattle, determined using an EXAGO ultrasonograph and measured on the carcass after slaughter. The studies were carried out on pedigree bull-calves of the Kazakh white head (85 animals), Auliekol (101 animals) breeds aged 14–15 months and on the feeding stock (6 animals) with a live weight of more than 943 lb. The ribeye area, the fat were obtained: Kazakh white head had 23.2 sq.in and 0.10 in, Auliekol – 20.4 sq.in and 0.09 in. The animals studied after slaughter yielded full-bodied carcasses, while the slaughter yield averaged 56.3%. The correlation between live weight level and ribeye was r=0.97. The coincidence of ribeye, measured by an ultrasonograph with a post-mortem measurement averaging 93.8%. The introduction of ultrasound methods for determining beef productivity in beef industry will allow livestock husbandry to become cost-effective and improve the beef quality. The results of ultrasound images for the carcass traits will be applied in selection and breeding work.