Number Of Cattle Research Articles

Increasing competitiveness of Holstein cattle breed in Moscow region

The Holstein breed of cattle was registered in the Russian’s "State Register of Breeding Achievements Approved for Use" in 1993 (application № 9352682). By that time, its relative abundance was 0,7 %. Over the past 28 years, despite the continuing decline in the number of dairy cattle in the Russian Federation the share of the Holstein breed has grown to 34,7 %, while for the vast majority of other breeds and almost all domestic breeds This indicator has significantly decreased: for the Red Steppe breed to 2,7 % (3 times), Kholmogor breed to 4,4 % (almost 2 times), Simmental breed — to 4,5 % (4,8 times). The relative number of Black-and-White cattle from 1993 to 2010 increased from 45,8 to 57,9 %, over the next 11 years it decreased to 42,4 %.During the study period (from 1993—2021), in our country there was not only a reduction in the number of dairy cattle but also the replacement of domestic breeds for Holstein cattle (Red Steppe, Kholmogor, Simmental and Black-and-White).The results of studies convincingly testify: milk production of Holstein breed increased annually by 29,4—150,0 % higher than that observed in animals of domestic breeds; consumer demand for pedigree Holstein heifers and primiparous is constantly growing while for animals of domestic breeds is declining and in the last 11 years, the annual demand for breeding Holstein breed has increased by an average of 3,7 %; the overall assessment of the body type of Holstein first-calf cows increased by an average of 0,3 points annually and at the same time productivity increased by 206,7 kg per year; if the identified rates of improvement of Holstein cattle are maintained in the near future, by 2026, the milk productivity of pedigree cows of this breed can reach an average of at least 11,0 thousand kg in milk yield, the fat content in milk is 4,20 % and protein is 3,40 %.

Detection of Bovine Respiratory Syncytial Virus in Cattle: A Systematic Review and Meta-Analysis

Bovine respiratory syncytial virus (BRSV) is an economically important pathogen of cattle and contributes to the bovine respiratory disease complex (BRDC). Despite individual studies investigating BRSV prevalence, risk factors, and detection methodologies, a systematic review and meta-analysis have been lacking. The aim of the current study was to conduct a systematic review and meta-analysis to determine the prevalence and detection rate of BRSV and identify associated risk factors. Additionally, the study aimed to explore the variability in BRSV prevalence based on different detection methods and associated risk factors. Adhering to PRISMA guidelines, data from three databases—Web of Science, PubMed, and Scopus—were systematically retrieved, screened and extracted. Out of 2790 initial studies, 110 met the inclusion criteria. The study found that prevalence and detection rates varied based on the detection methods used (antibody, antigen, and nucleic acid), study populations, production systems, and geographic locations. Findings were reported as a pooled proportion. The pooled proportion, hereafter referred to as prevalence or detection rate, was determined by calculating the ratio of cattle that tested positive for BRSV to the total number of cattle tested. Key findings include a pooled prevalence of 0.62 for antibody-based methods, 0.05 for antigen-based methods, and 0.09 (adjusted to 0.03) for nucleic acid-based methods. Detection rates in BRDC cases also varied, with antibody methods showing a rate of 0.34, antigen methods 0.16, and nucleic acid methods 0.13. The certainty of evidence of the meta-analysis results, assessed using GRADE, was moderate for antibody detection methods and low for antigen and nucleic acid methods. The study identified significant risk factors and trends affecting BRSV prevalence, such as geographical location, herd size, age, and co-infections. The results of the current study showed the complexity of understanding BRSV prevalence in different settings. The variability in BRSV prevalence based on detection methods and associated risk factors, such as geographic location and herd size, highlights the need for tailored approaches to detect and manage BRSV accurately.

Livestock Changes in Brazil and Sustainable Intensification Challenges

The increasing global demand for animal products has impacted Brazilian cattle farming. This study aims to offer references for developing more sustainable livestock farming in Brazil. It analyzes the numbers of pasture areas, cattle herds, and stocking rates from 1970 to 2017, based on agricultural census data. Additionally, it compares pasture conditions using agricultural census data and satellite imagery for the years 2006 and 2017. The key findings include the following: (1) a 119.7% increase in cattle herds, with migration from the South and Southeast to the North and Central–West regions, which have lower land prices; (2) a 2.6% decrease in the pasture area for cattle (except in the North region); (3) a 3.8% decrease in areas in poor condition; and (4) a 125.5% increase in the stocking rate. Despite technological advancements improving productivity, most pastures (59.6%) are still underperforming, indicating potential for reducing the pressure on native vegetation. This study concludes that production areas are shifting between regions in Brazil, with livestock farming intensifying, marked by a decrease in pasture areas and degraded pastures, alongside an increase in cattle numbers and stocking rates. However, these changes are heterogeneous across the country. This analysis provides an overview of beef cattle nationwide, which is relevant for addressing production sustainability challenges.

Bovine reproductive tract and microbiome dynamics: current knowledge, challenges, and its potential to enhance fertility in dairy cows

The cattle production system focuses on maintaining an animal-based food supply with a lower number of cattle. However, the fecundity of dairy cows has declined worldwide. The reproductive tract microbiome is one of the important factors which can influence bovine fecundity. Therefore, reproductive tract microbiomes have been explored during the estrus cycle, artificial insemination, gestation, and postpartum to establish a link between the micro-communities and reproductive performance. These investigations suggested that microbial dysbiosis in the reproductive tract may be associated with declined fertility. However, there is a scarcity of comprehensive investigations to understand microbial diversity, abundance, shift, and host-microbiome interplay for bovine infertility cases such as repeat breeding syndrome (RBS). This review summarizes the occurrence and persistence of microbial taxa to gain a better understanding of reproductive performance and its implications. Further, we also discuss the possibilities of microbiome manipulation strategies to enhance bovine fecundity.

Effects of different husbandry systems and attitudes of cattle farmers on the behavior and welfare of cattle in Germany

ABSTRACT This study examines the relationship between the attitude of cattle farmers toward their animals and the occurrence of behavioral and health problems in cattle. Various factors, including animal behavior, husbandry conditions and the frequency of diseases, are taken into account. The results of an online survey of 1,242 German cattle farmers indicated that a range of factors, including the husbandry system, the number of cattle, grazing practices and the human-animal relationship, can influence the occurrence of abnormal behavior in cattle, such as tongue play, mutual sucking, horse-like sitting and standing up as well as diseases, especially musculoskeletal disorders. Additionally, the study identified two distinct types of basic attitudes among livestock farmers toward cattle: emotional and utilitarian attitudes. A robust foundation between the attitude of the livestock owner and the husbandry conditions can therefore facilitate the welfare of cattle in terms of freedom from pain, disease and psychological suffering, as well as the expression of normal behavior. This, in turn, can reduce the occurrence of abnormal behavior.

Trends in the hormone and antibiotic use for cattle fattening in Bangladesh

The study was conducted to identify trends in the use of hormones and antibiotics, and traditional practices in cattle fattening in the southwest coastal region of Bangladesh. Data were collected from 150 farmers involved in beef cattle fattening through a survey questionnaire. The average numbers of cattle and beef cattle per household were 4.27 ± 1.94 and 3.54 ± 1.31, respectively. An average of 44.67 percent of the beef farmers selected indigenous (zebu) cattle and the rest of the farmers kept a variety of crossbred cattle for fattening. The average age of cattle at the start of fattening was 21.61 ± 8.07 months, the average duration of fattening was 9.71 ± 4.29 months, and farmers marketed cattle at an average weight of 285.50 ± 50.80 kg. The highest percentage (34.67%) of farmers ate beef once a week and 5.33 percent of farmers never ate beef. Among beef farmers, 53.33% and 62.67% applied hormones and antibiotics, respectively, to their beef cattle. The highest percentage of farmers used hormones (33.87%) and antibiotics (29.79%) once a week and the rest of the farmers used them at various intervals. The majority of farmers did not follow any withdrawal period before slaughtering beef cattle for application of hormones (85.48%) and antibiotics (83.58%), whereas the remaining farmers maintained different withdrawal periods. It can be concluded that more than half of the farmers applied hormones and about two-thirds of the farmers used antibiotics for beef fattening, and most of the farmers did not follow the recommended withdrawal periods before slaughter, which is of public health concern.

Оптимизация пастбищной нагрузки на степные экосистемы аридной территории Ставропольского края

Abstract. The article considers the issues of rational use of grass of steppe phytocenoses in their pasture use; the correspondence of pasture capacity and the number of grazed livestock. The purpose of the study is to assess the current state of steppe communities used as pasture lands for grazing existing livestock of large and small cattle and to propose ways to optimize pasture livestock breeding in the arid territory of the Stavropol Territory. Methods. A statistical analysis of the number of cattle and small cattle in the study area was carried out. The expeditionary study of natural herbages was carried out in 2021–2023 on accounting sites (100 m2) according to the requirements of methods generally accepted in phytocenology. The results of the study. Statistical analysis showed that by the beginning of 2000, the number of sheep in the territory under consideration had decreased by 2.6 times, and cattle by 1.6 times. In subsequent years, with the gradual recovery of the livestock industry from the crisis, a steady increase in the number of small and large cattle was noted in this zone to 1306.1 and 74.8 thousand heads, respectively. It was revealed that the vegetation of natural lands used in pasture farming in the arid zone of the Stavropol Territory is secondary, stunted and monotonous in terms of flora composition and plant associations. The capacity of the pasture lands does not correspond to the feed needs of the grazed livestock. At the moment, the shortage of pasture feed is 323.7 thousand tons of feed units. On such pasture lands, animals do not receive food in sufficient quantities. It is recommended to optimize pasture management by limiting the pasture load and bringing the number of grazed livestock in line with the feed capacity of pasture lands. This will help to provide the existing livestock with food that meets their regulatory needs. Scientific novelty. New data have been obtained on the current state of steppe communities in the arid territory of the Stavropol Territory and the correspondence of the number of grazed livestock to the pasture capacity.

Field Assessment of Major Livestock Diseases and Health Management Practices in Assosa Zone Areas

A preliminary disease survey in livestock and health management practices comprising cattle, goats, and poultry was undertaken. This study was conducted to identify livestock diseases, determine the method of diagnosis, and evaluate the disease management system within the period of 2020 to 2022. A semi-structural questionnaire was developed. 86 animal owners, who have large number of animals, participated in three districts Assosa, Bambasi, and Homosha each consisting of 52, 18, and 16 respondents respectively. The mean average number of cattle, goats, and poultry per farm was 10.1, 10.8, and 2003.3 in that order. According to respondents 93% of tell us the first disease was trypanosmiasis, followed by parasites 70.9%. Newcastle disease 75.6% of respondents was the most common disease in poultry, and Peste des petites ruminants (46.5% of respondents) was the most common in small ruminants. Most respondents explained that there was low satisfaction in veterinary supply. In Homosha, Assosa and Bambasi district identification of diseases diagnosis only by clinical sign was 100%, 80.7% and 33.3% respectively. Season of outbreak vary according to diseases type and infected species. The majority of goat and sheep outbreaks occurred in the winter (keremt) and autumn, but cattle outbreaks were prevalent in the spring followed by summer (bega). The total morbidity was 16.8% and total mortality was 7.1%. In Bambasi, the average morbidity was 2.8% and average mortality was 0.1%. The morbidity in Homosha was 62.5% and mortality was 26.1%. In Assosa districts the morbidity was 7.6% and mortality 3.7%. The morbidity of cattle was 13.2% and mortality was 5.5%. The morbidity of goat was 51.7% and mortality was 23.3 %. The morbidity in poultry farms was 26.8% and mortality 11.2%. This Study revealed that there were different disease outbreaks in the Assosa zone and management in livestock Production is poorly practiced. This is the greatest threat to livestock production and productivity. Therefore, preventive measures should be taken to sustain livestock health.

Analysis of Factors Affecting Beef Cattle Business Income (Case in Cipari Village, Cigugur District, Kuningan Regency)

The purpose of this study is to find out the factors that affect the income of beef cattle business in Cipari Village, Cigugur District, Kuningan Regency. This research was carried out at the Beef Cattle Farm Owned by Cipari Village, Kalibaru Village, Cigugur District, Kuningan Regency, West Java Province. The time of this research will be carried out in May - July 2024. The method in this study uses a quantitative descriptive method with a survey approach. The sampling technique in this study is to use saturated sampling (census). The sample in this study is all cattle breeders in Cipari Village consisting of 17 farmers with the ownership of 2 to 4 beef cattle. The Data Analysis Techniques carried out in this study include descriptive analysis quantitative, i.e. Multiple linear regression analysis. The results of the study show that (1) The number of beef cattle, the selling price of livestock, the labor cost factor, the price of beef cattle, the feed price factor, and the price of medicines, simultaneously have a significant effect on the income of the beef cattle business in Cipari Village, Cigugur District, Kuningan Regency; (2) The most influential factor on the income of the beef cattle business is the Number of Beef Cow Factor, because the number of beef cattle has the most significant influence on income.

Spatiotemporal relationship between agriculture, livestock, deforestation, and visceral leishmaniasis in Brazilian legal Amazon

Visceral leishmaniasis (VL) is an urgent public health concern in Brazil. We evaluated the spatiotemporal distribution of VL to better understand the effects of economic activities related to agriculture, livestock, and deforestation on its incidence in the Brazilian Legal Amazon (BLA). The data on newly confirmed cases of VL in Brazilian municipalities from 2007 to 2020 were extracted from the Brazilian Notifiable Diseases Information System (SINAN) and analyzed. The data on agricultural production (planted area in hectares) and livestock (total number of cattle) were obtained from the Brazilian Institute of Geography and Statistics (IBGE), whereas deforestation data (in hectares) were obtained from the Amazon Deforestation Estimation Project (PRODES). SatScan and the local indicators of spatial association (LISA) were used to identify the spatial and temporal patterns of VL and its relationships with economic and environmental variables. The cumulative incidence rate was found to be 4.5 cases per 100,000 inhabitants. Based on the LISA results, areas with a high incidence of VL and deforestation were identified in the states of Roraima, Pará, and Maranhão. Strengthening deforestation monitoring programs and environmental enforcement actions can help implement public policies to control illegal deforestation and mitigate the socio-environmental vulnerability in the BLA. Therefore, areas identified in this study should be prioritized for controlling VL.

Techno economic approach of biogas in Konya Türkiye

In determining biogas potential, the current number of materials that can be used in biogas production is as important as the availability and usability of the materials. Potential studies that were conducted without knowing the structures of the systems in which these materials could be evaluated give us only the theoretical upper limit that can be reached. The ‘theoretical’, ‘technical’ and ‘economic’ potential distinctions made to prevent the error from occurring unfortunately only take into account the availability of the materials, and the process sizes and properties are either very limited or not at all. This causes the facilities established by considering existing potential research to fail in implementation or operate at low capacity. In this study, the importance of the international production chain of the apparel industry in Turkey’s economy is examined. The study is based on Konya, which has a total of 1,079,644 cattle animals, 737,395 of which are dairy cattle. In the study, the number of dairy cattle with high waste collectability rates was particularly taken into consideration. Thus, the seasonal number of changes that may occur was tried to be avoided. In this study, the number of animals per farm and the distances between businesses were taken into consideration, and the biogas systems that could be installed were evaluated within this framework. Series of analysis were made under 3 different scenarios. In the first scenario, it was assumed that biogas systems would be installed by waste-generating enterprises. The installation of village-type common biogas systems was examined when possible within the scope of the second scenario. In the third scenario, the installation of district-based biogas systems was considered. Considering the difficulties in collecting the waste of enterprises with less than 50 cattle (due to the lack of regular collection systems), it is assumed that the waste of these enterprises cannot be used in village or central systems. According to the data obtained, Scenario 1 stands out in terms of creating employment and reducing environmental problems. The 3rd Scenario was the most profitable in macroeconomic terms. However, it was emphasized that the 1st and 2nd Scenarios stand out in terms of the sustainability of the systems.

Effects of Inter-community Conflicts on Beef Cattle Production among Pastoral Communities of Marsabit County, Kenya

The focus of this research was to determine the effects of inter-pastoral communities conflicts on beef cattle production, to determine the effects of livestock diseases on beef cattle production among pastoral communities in Marsabit County. The study employed a descriptive survey research method. Our study's target population was made up of 1210 beef cattle keepers with a total population of 118,755 beef animals. Marsabit County was chosen at random using purposive sampling techniques. After stratification, 60 out of 200 registered farm groups was chosen at random. The researcher conducted a pilot study to determine the instrument's suitability. Data was statistically handled, manipulated and analyzed by Statistical Software for Social Sciences (SPSS) version 25. To achieve the objectives of the study, the researcher employed both descriptive and inferential statistics where correlation analysis, chi-square analysis and standard multiple regression analysis was used to explore the relationship between the variables as well as for making generalizations about the data. Diagnostic tests was checked to ascertain violation of assumptions. The study found out that these conflicts not only directly reduced cattle numbers but also instilled an atmosphere of fear and instability, discouraging investment and effort in cattle rearing. Proactive measures to mitigate inter-community conflicts, such as conflict resolution initiatives and improved security measures, are essential for safeguarding both livestock and human lives. The study recommends investing in conflict resolution measures and programs.

Willingness to Pay for Cattle Insurance in Nepal: A Double-Hurdle Model Perspective

Since the adoption of the Crop and Livestock Insurance Directives in 2013, the adoption of livestock insurance has gained popularity in Nepal. In the eight years since implementation, adoption rates have remained low, even with 80% government premium subsidies. This study uses a double-hurdle model for quantitative analysis and focuses on the determinants of willingness to pay (WTP) for cattle insurance. The research identifies significant factors influencing insurance adoption decision, including positive impacts from farmer’s age, education, livestock loss history, awareness of insurance, dairy farm income, number of cattle, and loan access. However, male gender, extensive cattle rearing experience, and larger households negatively affect willingness to insure. A number of factors affect premium determination, including age, size of household, livestock loss, off-farm income, number of cattle, and loan accessibility; on the other hand, factors that have a negative impact on premium levels include breed type, marital status, and revenue from dairy farms. According to the findings, the annual WTP for cattle insurance among dairy farmers varies from $48 to $71 (NRs. 6315-9341), with an average of $58 (NRs. 7631). Interestingly, the majority of farmers demonstrate their commitment to risk management by accepting premiums equal to 5% of the value of the cattle. The research contributes to understanding livestock insurance premiums in developing countries, specifically in Nepal, and suggests a scope for extending insurance programs, while also noting a gap in awareness among dairy farmers regarding government subsidy programs.

Socio-Economic Perspective of Milk Producers of District Ghazipur of Uttar Pradesh, India

Socio-economic analysis play crucial role in implementation of any policy. This study, conducted in the Gazipur District of Uttar Pradesh, focuses on the current state of milk production costs. The research employs a descriptive and analytical design, using a survey methodology to categorize cattle owners into small, medium, and large-scale operations based on the number of cattle owned. A total of 10 villages were randomly selected from two blocks, with 150 milk producers chosen for in-depth study from each size category (small, medium, and large). The survey collected data on various demographics, including age, gender, education level, and social categories, as well as detailed information on milk marketing and socioeconomics. Results indicate that out of the 150 respondents, 76 were small-scale farmers, 43 were medium-scale, and 31 were large-scale. The majority of respondents (78%) were male. Economic analysis revealed that small households had an average annual income of Rs. 198,879, medium households Rs. 158,044, and large households Rs. 274,970. Non-farm income was highest for large farms (Rs. 148,140), followed by medium (Rs. 123,024) and small farms. This comprehensive study provides valuable insights into the economic conditions and marketing practices of milk producers in Gazipur, highlighting key areas for potential improvement and policy intervention.

Reducing the number of cattle - a problem or an opportunity?

Reducing the number of cattle - a problem or an opportunity?

Relevance of Natural Farming in Present Scenario of Bihar, India: A Review

Agriculture is holistic approach of science. It is convergence of field crops, horticultural crops, forestry, animal science, poultry, microbiology, soil science etc. If we pick one subject it will be injustice to the science of cultivation. The Father of modern-day natural farming is Masanobu Fukuoka. This is also known as Fukuoka Method. Do-nothing farming or Natural way of farming is an ecological farming approach established by Masanobu Fukuoka (1913-2008). Natural farming, also known as ‘Prakritic Kheti’ is a climate resilient tool that can save humans and Agro-ecological system, Asha Rani et al. [1] advocated the natural farming in India. Krishi Vigyan Kendra, Sabour Bhagalpur, Bihar has started natural farming practices from 2018. We have organised awareness programme in 12 villages among 2000 farmers. KVK Sabour adopted a Village in Raipura, Goradih, where we have made a benchmark survey animal particularly Deshi cow. Bihar is an Agriculture based state. Focus of this survey was how many Deshi cow was existing their and what was the utility of cow dung and cow urine. Most of them are using cow-dung as fuel for making food and cow urine was drained out. We have organised off campus and on campus training programme for Raipura villagers, demonstrated the technology to make ‘Jivamrit, Bijamrit, Ghanjivamrit etc.’ The result of this awareness is that they have started the collection of cow urine and using cow dung to make ‘Ghanjivamrit, Jivamrit’ and different products. The purpose of this work was to conduct a simple survey and review the relevance of natural farming in the present day when the cattle number is in decline. Findings indicated natural farming to be impossible without desi cow, as every component is related to the species.

Characterization and economic losses caused by bruis in bovine carcasses in the state of Acre

The objective of this study was to characterize the injuries caused by bruises and evaluate the economic losses in carcasses of cattle slaughtered in a slaughterhouse, in the municipality of Rio Branco, Acre. The period from july 2020 to february 2021, two monthly visits were carried out, on random days, where 4,526 carcasses were analyzed. The presence of bruises was visually checked; the age, degree and size of the lesions, in addition, at the end of each slaughter, the distance between the municipality of origin of the animals and the slaughterhouse was verified. These lesions were later removed and weighed to quantify the damage caused. Among the carcasses analyzed, only 957 (21.12%) showed any lesion. The female category was the one that recorded the most injuries proportionally, with 172 (41%) of the 442 animals slaughtered, while 343 (25%) of the 1388 castrated males and 442 (16%) of the 2724 intact males had some injury. There was an average loss of 0.10443 kg per animal, extrapolating to the total number of cattle slaughtered in the state during the period, a loss of R$ 1.82 or U$ 0.33 per animal is estimated. Despite the low incidence, most bruises appear in the last 24 hours before slaughter, suggesting problems in pre-slaughter management. Therefore, improving animal welfare at this stage is essential to reduce these injuries and improve profitability in beef production.

Factors of acute respiratory infection among under-five children across sub-Saharan African countries using machine learning approaches

Symptoms of Acute Respiratory infections (ARIs) among under-five children are a global health challenge. We aimed to train and evaluate ten machine learning (ML) classification approaches in predicting symptoms of ARIs reported by mothers among children younger than 5 years in sub-Saharan African (sSA) countries. We used the most recent (2012–2022) nationally representative Demographic and Health Surveys data of 33 sSA countries. The air pollution covariates such as global annual surface particulate matter (PM 2.5) and the nitrogen dioxide available in the form of raster images were obtained from the National Aeronautics and Space Administration (NASA). The MLA was used for predicting the symptoms of ARIs among under-five children. We randomly split the dataset into two, 80% was used to train the model, and the remaining 20% was used to test the trained model. Model performance was evaluated using sensitivity, specificity, accuracy, and the area under the receiver operating characteristic curve. A total of 327,507 under-five children were included in the study. About 7.10, 4.19, 20.61, and 21.02% of children reported symptoms of ARI, Severe ARI, cough, and fever in the 2 weeks preceding the survey years respectively. The prevalence of ARI was highest in Mozambique (15.3%), Uganda (15.05%), Togo (14.27%), and Namibia (13.65%,), whereas Uganda (40.10%), Burundi (38.18%), Zimbabwe (36.95%), and Namibia (31.2%) had the highest prevalence of cough. The results of the random forest plot revealed that spatial locations (longitude, latitude), particulate matter, land surface temperature, nitrogen dioxide, and the number of cattle in the houses are the most important features in predicting the diagnosis of symptoms of ARIs among under-five children in sSA. The RF algorithm was selected as the best ML model (AUC = 0.77, Accuracy = 0.72) to predict the symptoms of ARIs among children under five. The MLA performed well in predicting the symptoms of ARIs and associated predictors among under-five children across the sSA countries. Random forest MLA was identified as the best classifier to be employed for the prediction of the symptoms of ARI among under-five children.

The Tendency of Livestock Growth in Ethiopia: A Review

Ethiopia ranks first in Africa and 5th in the globe in its livestock population. The livestock subsector is immensely contributing about 60-70 % to the population’s livelihood and about 80% of the farmers use animal traction to plough their croplands. This study involved gathering livestock-based data from the Central Statistical Agency (CSA) for the years 2004/05 to 2018/19. Additionally, information on livestock holders was systematically organized and analyzed to track progress over the years. Quantifiable values indicating increases were presented in tables and figures. The relationship between cattle numbers and livestock owners’ growth trends was tested using the Pearson correlation. The findings were further supported or challenged through a comprehensive literature review. The data show that the cattle population grew by 57% in 2018/19 than the number it was at the end of 2004/05 and the number of cattle owners increased by about 53 %. Likewise, the total number of sheep population grew by 82.69 % and their holders by 53%, the total goat heads grew by 162.2% and the camel population by 284%. From the total stock of cattle, 97.92% and 99.72% of sheep and all the goats and camels were identified as indigenous, respectively. The study found a significant and strong correlation (p less than 0.01) between the number of animals used for production and the number of holders. This suggests that the growth in livestock population is primarily due to an increased number of livestock owners, rather than an increase in the number of animals per holder. The work identifies bottlenecks in livestock development and provides insights into growth trends and underlying causes. It highlights opportunities for policy interventions to enhance sustainable livestock production. Further research is recommended on addressing feed and water shortages and evaluating policy and institutional setup effectiveness.

Kazakhstan dairy market: guidelines for optimization

Milk plays an important role in human life as obligatory and necessary food product, containing the most valuable and easily digestible proteins, fats, carbohydrates, and minerals. The goal is to show the current state of dairy industry in Kazakhstan, factors influencing its development. The economic parameters of production of milk and dairy products, dynamics of production volumes, and the number of cattle by type of management have been studied. The methods are based on the study of domestic and analytical reviews, scientific publications, and statistical information. Results – there is a shortage of raw materials for processing enterprises, their low quality, and a large number of small producers. The authors state that homemade milk from private farms does not meet technological standards, which, in turn, is the reason for poorquality industrial processing of raw materials. Domestic producers satisfy the need only for liquid processed milk and cream (94.9%). Conclusions – indicators that have restraining effect on development of dairy industry in the republic are considered, the need for technological reequipment, formation of cluster structures, and state support for Kazakh producers is pointed out. Compliance with raw milk quality standards is only possible when using the latest methods for obtaining and primary processing of raw milk. To achieve an effect, subsidies for technical equipment are required, especially for small-scale farms (milking and refrigeration machines, disinfectants, express control analyzers, etc.). Forecasts for consumption of dairy products assume the ability to determine in the future the volumes and structure of market demand for this type of product. The fundamental factors are the level of income, trends in changes in retail prices, degree of market saturation, national and historical traditions.