The article is devoted to the study and analysis of the current state of the animal husbandry industry in the Republic of Kazakhstan in the context of regions. The indicators of the dynamics of the number of livestock of farm animals for the period 2015-2019 by regions, indicators of productivity in the industry, indicators of the volume of production of meat products are analyzed. The dynamics and structure of costs in the country’s livestock industry are also considered.Today, one of the most pressing problems in the development of the agro-industrial complex is the low level of labor productivity due to low automation and digitalization of technological processes. The need to meet the demand for livestock products in the domestic market of the Republic of Kazakhstan, as well as to increase its export resources, poses a challenge for Kazakhstani science and practice to develop, scientifically substantiate and master modern technologies for the production of low-cost, environmentally friendly, competitive products of the industry. They should be resource-saving, aimed at maximizing the use and improvement of the genetic potential of farmed farm animals, adapted to the specific natural and economic conditions of the regions of the republic. The development and mastering of such technologies will make it possible to weaken the negative impact of the industry on the environment, reduce the cost of material resources, and effectively use the available land and water resources [5].The main problems hindering the effective development of the country’s livestock industry are identified. The promising strategic directions for the development of this industry have been determined. From the point of view of experts of the financial organization, the country has good potential and opportunities to export its beef and pork to China, and the lamb of the Edilbay sheep breed to the countries of the Middle East.

This article assesses how the combined effects of rapid agricultural land‑use expansion and the saiga (Saiga tatarica) migrations influence Kazakhstan’s agricultural sector and evaluates sustainable land‑use solutions that reconcile production and biodiversity goals. Drawing on data from the Ministry of Ecology and field studies in the West Kazakhstan, Atyrau, and Kyzylorda regions, we quantify direct financial losses from crop damage, costs of restoring fences, irrigation and farm buildings, as well as foregone yields. Spatial analysis and statistical modeling identify three “hot” vulnerability clusters and seasonal loss dynamics (up to 60% in summer, ~16% in spring). The research spans five annual migration cycles and incorporates stakeholder consultations with farmers and conservation authorities to refine interventions. Practice-oriented measures are proposed – protected migration corridors aligned with traditional routes, farmer compensation schemes and integrated population- management strategies (scientific monitoring, local co-management, economic incentives) – to harmonize biodiversity conservation with sustainable agriculture.

The relevance of this topic of the article is associated with the need to automate and digitalize the branches of agro-industrial complex of the Republic of Kazakhstan, ensuring the country's food security and improving the well-being of the rural population. The main problems of the development of animal husbandry in the republic are considered. The structure of its production by farm categories has been analyzed. It has been determined that about 55% of the industry's products are provided by the households, which contain 55.3% of the cattle population. The purpose of the study is to justify the need to increase the volume of beef cattle breeding through the use of innovative technologies and digitalization of livestock farms, as well as the development and scientific confirmation of rational options and technical solutions for low-cost, environmentally friendly meat production technologies. The work uses the methods of economic and statistical analysis, which consists in summarizing statistical data, illustrative presentation of factual information, etc. Results – the authors state that meeting the existing high demand for Kazakhstani meat products in domestic and foreign markets currently requires a transfer and adaptation of highly efficient technologies based on automation and digitalization of production processes in livestock farming, taking into account the objective conditions in the regions of the country. The data on technology of organizing winter and cultivated pastures in cattle breeding, pasture rotation, seasonal rotations, preparation of scientifically grounded feeding rations, the choice of machines and equipment for the automation of technological processes are presented. An economic assessment of the effectiveness of creating model farms by levels of digitalization was carried out: basic, advanced, digital; indicators of labor productivity, payback period are calculated. The conclusions indicate the need to increase government support for the meat industry.

The article discusses the issue of pasture degradation in the West Kazakhstan region, which has been caused by a significant rise in the population of saigas (Saiga tatarica). The study aims to quantify agricultural losses and establish the relationship between saiga numbers and ecosystem changes. The research methodology incorporates field observations, agroecological observations, and mathematical analysis. Data were collected in areas heavily affected by saiga migration in 2024. Correlation and regression analyses were performed. The results showed that hay yield decreased by 14 kg/ha for every additional 1,000 saiga individuals. The greatest losses were recorded in the Bokeiordinsky district, where grazing pressure exceeded 62.5%. It was concluded that urgent measures are needed to regulate the saiga population, restore degraded land, and introduce rotational grazing. Mechanisms for the adaptive management of wild populations that take into account the interests of the agricultural sector were proposed. The findings obtained can provide a solid foundation for informed decision-making in agricultural and environmental policy within the region.

The purpose of the article is to study the relationship between the income level and the quality of nutrition of the population of the republic, per capita consumption of basic foodstuffs by population groups with different disposable incomes, the main problems, and ways to solve them. The main source of information was the official data of the Bureau of National Statistics of the Agency for Strategic Planning and Reforms of the Republic of Kazakhstan. The theoretical basis of the research was the works of domestic and foreign scientists in the field of the level and quality of life, materials of the FAO. The study was conducted using general scientific methods of cognition, as well as special methods of economic and statistical analysis - grouping, graphical research method, ranking of the dynamic series, calculated indicators of the analysis of dynamic series. The scientific novelty of the study is to assess the impact of changes in disposable income on the concentration and differentiation of income of the population, food consumption in different income groups of the population of the republic. The authors analyzed the main modern concepts of measuring the standard of living and selected the most acceptable information from the point of view of accessibility, which was the basis of the study. The results of the study can be used in the formation of medium- and long-term programs to increase the income and quality of nutrition of the population, as well as a basis for further research in this direction.

This article discusses the issue of pasture degradation in the West Kazakhstan region, which has been caused by a significant rise in the population of saigas (Saiga tatarica). This study aims to quantify agricultural losses and establish the relationship between saiga numbers and ecosystem changes. The research methodology incorporates field observations, agroecological observations, and mathematical analysis. Correlation and regression analyses were performed. The application of correlation and regression models confirmed a statistically significant relationship between the growth of the saiga population and the decline in hay yield: increasing animal numbers lead to a reduction in pasture productivity. The greatest losses were recorded in the Bokeiordinsky district, where grazing pressure exceeded 62.5%. It was concluded that urgent measures are needed to regulate the saiga population, restore degraded land, and introduce rotational grazing. Mechanisms for the adaptive management of wild populations that take into account the interests of the agricultural sector were proposed. The findings obtained can provide a solid foundation for informed decision-making in agricultural and environmental policy within the region.