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.

The Abstract reviews the experience of implementing Vytelle technology in ZhanaBereke LLP, Akmola region in Kazakhstan. The trial objects are Qazaq Aqbas bull calves: group 1 aged 10–11 months (n = 22), group 2 aged 11–12 months (n = 24). Data analysis showed that more reliable Residual Feed Intake calculated for each individual animal on the basis of their phenotypes and information on pedigree, were found in group 1. The average RFI EPD for group 1 is -0.0607, for group 2 is -0.0297. The RFI% Rank in terms of RFI EPD for both trial groups varied within 4 ... 96%. However, the average RFI% Rank was lower in the first group (45%) compared to the second group (56%). From which it follows that the RFI EPD is higher in group 1. Average Daily Gain EPDs (ADG EPD) higher in group 1 -0.0018. A higher ADG EPDs indicate a more cost-effective metric. The ADG% Rank in terms of ADG EPD for group 1 varied within 1 ... 62%, for group 2: 1 ... 63%. The average ADG% Rank was slightly lower in the first group (30%) compared to the second group (33%). From the presented data, it follows that the breeding valueaccording to the ADG EPD is higher in group 1. The average Dry Matter Intake by animals per day during the trial (DMI EPD) is equal to -0,0600 in the first group, and -0,0292 in the second group. The DMI% RANK in terms of DMI EPD for group 1 varied within 31 ... 93%, for group 2: 38 ... 96%. The DMI% RANK was lower in the first group (60%) compared to the second group (67%). Summarizing the above, we can conclude that selection for this characteristic is less effective, work will continue to increase this indicator.

Kazakhstan ranks 5th in the world in terms of pasture area, with 30% of land used as pasture. Evaluating pasture resources is relevant for improving the pasture lands regulation system. Since 2018, National Space Agency has carried out the Ministry of Agriculture space pastures monitoring program. The main task is a seasonal satellite evaluation of the degradation productivity degree pasture vegetation. Thematic analysis remote sensing data from KazEOSat-1, 2 satellites and territory geoinformation made it possible to determine, with a high accuracy: land boundaries and areas, seasonal state and average vegetation type pastures productivity evaluation, integration with land cadastre data identified unaccounted pastures, and animal identification system made it possible to assess pastures load. Seasonal state pastures evaluation done by satellite parameter choice. The main factor influencing vegetation spectral properties is biomass increase. Spectral reflectance decreases in spectrum’s red part and near-IR range increases, vegetation index value changes. The vegetation index was used to create correct linear weighing system: vegetation parameters values (the green plant biomass volume projective leaf cover of the soil). To calculate seasonal productivity, GNDVI vegetation index used to more chlorophyll concentration than NDVI index. GNDVI showed best correlation calculating productivity, concidering exposed soil atmosphere influence. Satellite evaluation showed digital maps (pasture.gharysh.kz). The area was counted according to condition degradation and productivity. In Karaganda region’s Zhanaarkinsky district brown soils are widespread, with little humus, natural and man-made desertification is observed. The minimum productivity of pastures was 0–3 c / ha, average - 7.7 c / ha, maximum - 12–15 c / ha. In 2020, 73% (4,364.0 thousand hectares) pastures were poor assessed, 18.4% (1,104.3 thousand hectares) - very poor. The reason is the location in the desert and semi-desert zones, the annual rainfall is 150 mm. Degraded pastures in 2020 amounted to 449.1 thousand hectares (93.8% degradation of a low degree, 5.8% of a medium degree, 0.4% of a strong degree).

Kazakhstan Western ecosystems are intensively used in agricultural production. Assessing greenhouse gas emissions from soils, especially CO2, is important. In the upper stages, microbiology, characteristics and condition of the soil change. Biological intensity indicators are soil respiration processes, numerous microbiocenoses species composition. Soil CO2 emissions were measured 5 times monthly during three years. The CO2 flow rate from soil surface is measured by a closed dynamic chamber method with Li-8100A field respirometer. Metagenomic soil testing used bacteria DNA, archaea, real-time PCR, 16SrRNA sequencing. The soil CO2 monthly dynamics fluxes varied among the lands, within the season. In 2020, the CO2 emissions soil peak noted in the pasture. There is a slight decline in summer with a decrease towards the cold season. Comparison between the CO2 flux pasture soils is less in virgin soil. The minimum CO2 flux was recorded in November - February; in the spring, the flux increases. The above CO2 emissions were recorded in summer. In soils, there is wide variety of microorganisms with opposite and incompatible properties for one habitat. The microbial communities structure identified at the family level. The taxonomic samples structure ominated by phylae - Actinobacteria, Proteobacteria, Chloroflexi, Acidobacteria, Gemmatimonadetes, Firmicutes, Actinobacteria. The spread explained by increased actinomycetes resistance characteristic to low moisture content with long dry period. For comparative evaluation microbial communities results comparing by cenoses of upper horizons with dark chestnut soil indicators. This violation caused microorganisms resistance to disturbing factors. On anthropogenically disturbed saline soils, the bacteria found were specific and resistant to critical conditions. CO2 emission in soil varied cenosis type. The CO2 intensity factors were precipitation deficit, high temperature. The profile microorganisms distribution corresponded to the soil horizons humus content. During summer soil drying, the deep soil horizons abundance occurred where moisture is retained.

Selection for residual feed intake (RFI) allows you to reduce feed costs and increase productivity of beef cattle. An increase in feed productivity by 10% can lead to an increase in profits by 43%, raising livestock with a low RFI can reduce feed intake by 12%, reduce methane emissions by 30%, and manure reduction by 17%. To obtain reliable trial results when determining the RFI, it is necessary to ensure the following conditions: 1) the same age of animals 2) the exchange of pedigree data between users of the system, which makes it possible to compare the EPDs within Vytelle Systems. Objects of research:QazaqAqbas bull calves (n = 46) at the age of 10–12 months in ZhanaBerekeLLP in Akmola region of Kazakhstan. Trial results confirm that residual feed intake in group 1 varied from -0.81 to 1.11, in group 2 - from -0.80 to 1.09. The RFI Rank was higher in group 1 (12.5). RADG in group 1 was at the level of -0.57 ... 0.58, in group 2 - -0.58 ... 1.13. According to the numerical rating of the animal (RADG Rank), the average value in group 1 was 12.5, in group 2 - 11.5. The average live weight at the beginning (START WT.) and end (END WT.) in the first group was 254.16 and 287.62 kg, in the second group 239.99 and 273.09 kg. The ADG in two groups was at the same level - 0.70 and 0.69 kg. The average Dry Matter Intake per day by animals during the trial was higher in the first group - 4.15, in the second group it was 3.65. For the first time in Kazakhstan national QazaqAqbas breed is tested for RFI, RADG, ADG, DMI, Raw F:G, Adj F:G.