Livestock Activities Research Articles

Assessment of surface and groundwater quality in the Ctalamochita River basin, Argentina: hydrogeochemical characteristics and exploratory data analysis.

Freshwater and groundwater are important resources for the drinking water supporting agricultural and livestock activities in the Córdoba province, Argentina. The aim of this study was to assess the physicochemical and microbiological quality of surface water (n = 14) and groundwater (n = 17) sites in the middle-lower basin of the Ctalamochita River (Córdoba, Argentina) for human and animal consumption. A total of 18 physicochemical and five microbiological parameters were evaluated to determine the hydrogeological characteristics of both water resources and their suitability for human and animal consumption using the Water Quality Index (WQI). The results indicated that Na+ and HCO3- were the dominant cation and anion, respectively, in both water resources. Physicochemical and microbiological parameters values were compared with national and international guidelines. The WQI showed that groundwater samples exhibited poorer quality when compared to surface waters for human consumption, primarily due to elevated concentrations of major ions and the presence of total coliforms and Pseudomonas aeruginosa. Meanwhile, the WQI for animal consumption indicated that both surface and groundwater samples were suitable for this purpose. The Piper diagram showed that most of the surface water samples were classified as Na+-Cl--HCO3-, while groundwater samples were classified as Na+-HCO3-. This classification highlights the hydrogeochemical differences between the two water resources. TheGibbs diagram indicates that the chemical composition of both surface and groundwater sources is primarily controlled by processes of rock-water interaction and evaporation. The findings of this study will facilitate the development of a proactive plan to safeguard and sustain water resources in the middle-lower basin of the Ctalamochita River. This can be achieved through the implementation of preventive strategies and the introduction of innovative policies.

Risk Analysis of Groundwater Contaminant in Rural Areas Using Spatial Distribution

Background: Water is a very important material for the life of creatures in nature and its function for life cannot be replaced by other compounds. Groundwater is an important resource for humans, especially in rural areas that depend on Groundwaters as the main source of clean water. However, the quality of groundwater in many areas has decreased due to pollution from human activities, such as agriculture and industry. Method: This study aims to analyse the level of pollution risk of groundwaters in rural areas of Masama District, Banggai Regency using descriptive quantitative methods. Spatial analysis of pollution risk was conducted on 516 Groundwaters selected as samples. Spatial data is collected by recording the location of each well using GPS, which is then used to create a spatial map. The pollution risk analysis is based on the Sanitation Inspection results, using 11 key indicators. Result: The results showed that 4 Groundwaters (0.78%) were in the very high pollution risk category, 115 Groundwaters (22.29%) were in the high-risk category, 204 Groundwaters (39.53%) were classified as medium risk, and 193 Groundwaters (37.40%) had low pollution risk. The results indicate that most Groundwaters in the study area are at moderate to high risk. Groundwaters with high and very high risk are dominated by Groundwaters located in Minang Andala, Purwo Agung and Kembang Merta villages, which are agricultural areas with sufficient area and most of the people have livestock around their homes which could potentially be a source of contaminants. Conclusion: This study shows that the majority of Groundwaters in the study area have a moderate to high risk of pollution, with high and very high-risk categories found in villages that have agricultural and livestock activities. This emphasises the need for more intensive groundwater management and protection measures.

Prediction of environmental suitability for Haematoxylum campechianum: a proposal to promote reforestation in Mexico

Models of potential distribution and ecological niche allow to estimate priority areas for the management of species of interest, as well as to identify variables related to environmental suitability and predict the behavior of species in the face of anthropogenic disturbances. Logwood (Haematoxylum campechianum) is a species that we consider a natural heritage in southeastern Mexico because of its ecological role and the current and historical use of its wood. This species is present in different vegetation types and even dominates in some ecosystems called "tintales", which have been exploited for dye extraction in past centuries. This, combined with changes in land use for livestock, agriculture, and other anthropogenic activities, has affected the Logwood´s distribution and connectivity of its populations. We modeled the potential distribution of H. campechianum and evaluated the feasibility of reforestation with this species in southeastern Mexico. For this purpose, we included 638 occurrence points and used the MaxEnt algorithm for modeling, analyzing different parameters. We used the potential distribution model, accessibility to the areas and water availability to calculate a feasibility index for reforestation. The environmental suitability for the species is more present in southeastern Mexico, conditioned by the aridity index, the maximum temperature of the coldest month and the warmest month. The greatest percentage of areas with high feasibility indexes for reforestation are found in Campeche, apparently a key state for the conservation and management of the species. This study can be the starting point for implementing reforestation programs with H. campechianum and can be used as an example to apply to other species with patrimonial value.

Improvement of Livestock Product Delivery Services Using Design Thinking

PT. Charoen Pokphand Indonesia, the largest livestock company in Indonesia, was established in 1972 as PT Charoen Pokphand Indonesia Animal Feedmil Co. Limited. Today, the company is expanding with a focus on livestock activities such as broiler breeding, poultry slaughterhouses, and packing, processing of meat and poultry products, cultivation of broiler chickens, and a large trade in live animals and chicken meat. This study aims to identify the obstacles that occur in the process of shipping chickens, both experienced by farmers and by chicken expedition companies. In addition, this research also aims to improve livestock product delivery services by applying the Design Thinking approach. In the context of the livestock industry, the delivery of products such as live DOC chickens requires special handling, especially related to temperature and humidity, considering the vulnerability of DOC chickens to environmental changes. With a focus on partner logistics companies PT. Charoen Pokphand Indonesia, namely CV. Joint Work. The researcher included the Design Thinking method. The results of this research are expected to make a significant contribution to improving the quality of livestock product delivery services, improving operational efficiency, and providing a better experience for stakeholders.

Economic complexity and deforestation in the Brazilian Amazon

As the Amazon rainforest faces ever-increasing deforestation, finding a balance between conservation and economic progress becomes imperative. This study investigates the relationship between regional economic complexity (ECI-R) and deforestation in municipalities within the Brazilian Amazon between 2006 and 2021. Employing different econometric techniques, we untangle the multifaceted factors determining land use choices while considering variables associated with agriculture, extraction, and livestock activities. Rigorous testing confirms the validity of our findings. The results suggest an “environmental Kuznets curve” at play in the Amazon. This means that a slight increase in regional economic complexity (0.1 unit) initially leads to a significant rise in deforestation (28 %) but is followed by a decrease (8.4 %) in the following year. Interestingly, environmental fines appear to be a powerful tool for controlling deforestation. Further analysis using Probit regressions reinforces the key roles of economic complexity and environmental enforcement. Municipalities with higher regional complexity were 20 % more likely to experience low deforestation and high employment growth between 2006 and 2011. However, this trend reversed in later periods. Ultimately, the results indicate a complex relationship between economic complexity and deforestation. These findings highlight governments’ critical role in promoting sustainable development in the Amazon. There are limits to such an approach but supporting “green” industries and curbing deforestation-related activities can steer the region towards a more prosperous and environmentally responsible future.

Assessment of Decentralized Decision-Making on Livestock Management in Miombo Woodlands of Tanga and Morogoro regions, Tanzania: Bridging Acts and Practice

Despite legal reforms such as the Local Government (District Authorities) Act of 1982 and the Forest Act of 2002, which decentralize forest management in Tanzania’s villages, the persistent degradation of Miombo woodland forests, primarily due to livestock activities, raises concerns about the effectiveness of these reforms. This study compares the provisions of these acts with on-ground realities through data from 27 Focus Group Discussions (FGDs) and 45 Key Informant Interviews (KIIs). Thematic analysis using NVIVO 12 software identified four key discrepancies: decision-making structures, decision-making processes, gender involvement, and village collaboration. Findings show that villagers often unknowingly delegate legislative power to leaders, decision-making is politicized with minimal stakeholder engagement, gender inclusivity is minimal, and villages manage forests independently rather than collaboratively. These gaps have led to biased decisions, conflicts among user groups, forest encroachment, and the neglect of women's needs, exacerbating forest degradation. To address these issues, the study recommends capacity building through leadership and technical training for village councils, community education on legal rights, and improved transparency via public forums and accessible reporting. These initiatives aim to empower local communities and foster sustainable management of Miombo woodland forests

Assessing Fire Regimes in the Paraguayan Chaco: Implications for Ecological and Fire Management

This study analyzed the fire regime in the highly diverse Paraguayan Chaco, focusing on different aspects of fire patterns, including spatial (area burned) and temporal (frequency) aspects and magnitude (severity). We focused on fire as it is a natural phenomenon that drives ecosystem change and has significant economic, ecological and social impacts of particular concern in vulnerable ecosystems. Using the K-means clustering technique, we identified four distinct fire regimes in the study region: High (H), Moderately High (MH), Moderately Low (ML) and Low (L). On the one hand, the Dry Chaco predominantly featured Low and Moderately High regimes, characterized by a low fire frequency due to arid conditions. On the other hand, the Humid Chaco was particularly affected by agricultural burning, driven by extensive livestock activity and higher biomass productivity. Finally, in the Pantanal, the variations in fire intensity were influenced by flood pulses and rainfall patterns. Our findings highlight the distinct fire regimes across the Paraguayan Chaco and detail the differences in the regimes. The study’s findings are valuable for developing efficient management strategies that account for fire behaviour during agricultural burning in this poorly studied region.

Assessing methane emissions and multiple benefits of mitigation through coupled crop-livestock system

A potent greenhouse gas, methane, contributes to global warming, primarily from livestock activities such as fermentation and manure management. Recognized as a low-carbon agricultural approach, coupled crop–livestock systems are gaining increasing attention for mitigating methane emissions and environmental impacts. This study focused on Inner Mongolia to estimate its methane reduction potential. We calculated methane emissions using a combination of bottom-up and top-down methods, analyzed livestock distribution, estimated manure production, and assessed the potential of manure to replace chemical fertilizers based on crop nutrient demand. Livestock emissions totaled approximately 769.0 kt. Adopting crop–livestock coupling could reduce emissions by 30.1 kt. Returning manure as fertilizer can cover 57.7% of cropland, saving 57% nitrogen and 20% phosphorus fertilizers, thus reducing costs by $296.3 million. The study has provided a scientific reference for developing methane emission reduction strategies, which can shed light on tackling climate change in the context of agricultural systems.

Evaluation of Cyfluthrin and Etofenprox Resistance in House Fly Musca domestica Populations in Antalya, Türkiye.

The house fly, Musca domestica L. (Diptera: Muscidae), is a significant vector for many pathogens and parasites. Presence of this vector causes economic losses due to decreased feeding activity in livestock, resulting in reduced yields of products. The repeated and unconscious application of chemical insecticides has resulted in the development of resistance in the majority of house fly populations worldwide. The aim of this research was to determine the susceptibility levels of two field M. domestica populations to cyfluthrin and etofenprox in Antalya, Türkiye. The LD50 values, resistance ratios, and resistance status were determined by exposing adult house flies to the test chemicals for one hour. The Kemer population exhibited very low resistance to cyfluthrin, with a 5-fold increase, while the Serik population, in contrast, showed moderate resistance with a 29.67-fold increase. The resistance ratios of field populations to etofenprox were 2.33-fold (no resistance) for Kemer and 6.44-fold (very low resistance) for Serik, respectively. This is the first study to determine the resistance levels of house flies against cyfluthrin and etofenprox insecticides in Türkiye. To prevent or reduce the development of resistance to insecticides in house flies, integrated control methods and resistance management programs should be employed. Furthermore, it is advised that regular monitoring tests be conducted to observe the level of resistance.

A Missiological Analysis Of The Synergy Between The North Sulawesi Provincial Government And The Evangelical Church In Minahasa To Anticipate The Food Crisis Through Agriculture And Livestock Activities

From a review of previous research on global reactions to food crises, most studies have focused on economic aspects. This review identified the following gaps: (1) There is no study discussing the synergy between the church and the government in addressing food crises; (2) No research is available on the role and social anticipation of communities in the context of food crises. This research is urgently needed because synergy between the government and the church is crucial in the context of food security in North Sulawesi. The objective of this research is to fill this research gap through a holistic and comprehensive approach to the synergy between the Provincial Government of North Sulawesi and the Evangelical Christian Church in Minahasa in anticipating the global food crisis by enhancing farming and livestock activities in North Sulawesi. The research method used is a descriptive qualitative design through content analysis combined with a missiology analysis approach of the church. Data collection was carried out using participatory observation, interviews, and literature studies. The novelty of this research includes: (1) The synergy between the Provincial Government of North Sulawesi and the Evangelical Christian Church in Minahasa in responding to and anticipating the global food crisis; (2) The combination of content analysis methods with church missiology analysis as a new approach. The output of this research is a conceptual framework and a strong missiological approach strategy in building and optimizing relevant and effective synergy.

Water Quality Evaluation and Spatial-temporal Distribution Characteristics of the East Route of the South-to-North Water Diversion Project in Jiangsu Province Based on WQI

The east route of the South-to-North Water Diversion Project in Jiangsu Province was used as an example to investigate the characteristics of changes in water quality in the area affected by significant water diversion projects. Based on the comprehensive assessment method of the water quality index （WQI）, the M-K trend test, and the geographic information system （GIS）, the spatial and temporal variation characteristics of water quality in the 13 national assessment sections of the east route of the South-to-North Water Diversion Project in Jiangsu Province were evaluated and analyzed from 2013 to 2022. The results showed that the water quality assessment grades in the study area were mainly "medium" and "good." The overall mean value was 74.03, indicating "good" water quality. DO, BOD5, and NH4+-N were the primary indicators of changes in river water quality in the region. Over time, the water quality in the basin had significantly improved from 2013 to 2022. However, there was a rebound in 2021, but this phenomenon was effectively controlled in 2022. Water quality was better during the non-flood season compared to that during the flood season. From a spatial perspective, the water quality in the southern part of the region was superior to that in the north. Furthermore, the rate of improvement was faster in the south. This could be attributed to factors such as precipitation, population density, and the scale of agricultural and livestock activities. However, the water quality of the S11 （Sanduoxi Bridge） section was generally lower than that of other sections and should be given further attention.

Backyard Activities as Sources of Social and Personal Well-Being: A Study of the Mexican Population (Guasave, Sinaloa)

Isolation due to the COVID-19 pandemic has heightened daily tension, leading to stress and other illnesses. This research examined the impact of backyard activities on social and personal well-being, focusing on agricultural (gardens, vegetables, medicinal plants) and livestock activities (chickens, goats, sheep, cows). An exploratory study was conducted using a Likert-scale survey of 387 people, with 22 items covering economic growth, social well-being, and human development. The results showed that 50% of the respondents experienced pleasant emotions through sensory engagement with home gardens, leading to well-being, reduced anxiety and stress, better concentration, and improved family harmony. McDonald’s Omega (ω) value for item consistency was 0.964. Strong correlations were found between economic growth, social well-being, and human development with social and personal well-being, at 0.719, 0.819, and 0.812, respectively. These results are validated by an exploratory principal component factor analysis, which shows the correlation of the classes that integrate backyard activities on a principal axis. Backyard livestock activities had a lesser impact on personal and social well-being compared to agricultural activities, which were valued more for their economic and nutritional contributions. Thus, backyard activities, especially those involving home gardens, significantly enhance social and personal well-being alongside their economic and food benefits.

Scenario analysis of livestock-related PM2.5 pollution based on a new heteroskedastic spatiotemporal model

The air in the Lombardy Plain, Italy, is one of the most polluted in Europe due to limited atmosphere circulation and high emission levels. There is broad scientific consensus that ammonia (NH3) emissions have a primary impact on air quality, and in Lombardy, the agricultural sector and livestock activities are widely recognised as being responsible for approximately 97% of regional ammonia emissions due to the high density of livestock.In this paper, we quantify the relationship between ammonia emissions and PM2.5 concentrations in the Lombardy Plain and evaluate PM2.5 changes due to the reduction of ammonia emissions through a ‘what-if’ scenario analysis. The information in the data is exploited using a spatiotemporal statistical model capable of handling spatial and temporal correlation as well as missing data. To do this, we propose a new heteroskedastic extension of the well-established Hidden Dynamic Geostatistical Model. Maximum likelihood parameter estimates are obtained by the expectation–maximisation algorithm and implemented in a new version of the D-STEM software.Considering the years between 2016 and 2020, the scenario analysis is carried out on high-resolution PM2.5 maps of the Lombardy Plain. As a result, it is shown that a 26% reduction in NH3 emissions in the wintertime could reduce the PM2.5 average by 1.44 μg/m3 while a 50% reduction could reduce the PM2.5 average by 2.76 μg/m3 which corresponds to a reduction close to 3.6% and 7% respectively. Finally, results are detailed by province and land type.

Analyzing the extent and use of impervious land in rural landscapes

The amount of impervious surface is increasing rapidly worldwide. Although urban expansion has been studied extensively, the alteration of impervious land cover in rural regions remains under-examined. In particular, insights into the utilization of these sealed surfaces are crucially needed to unravel the underlying dynamics of land use changes beyond urban areas. This study focuses on rural regions from a Swiss case study and presents an analysis of the use of sealed surfaces in such regions, rather than solely quantifying the extent of sealed surfaces. Utilizing a synergistic approach that merges detailed cadastral plans with very-high-resolution remote sensing imagery and sophisticated deep learning algorithms, we characterized the uses of sealed surfaces, including buildings and their surroundings. Our findings reveal that 2.1 % of the study area’s rural regions comprises sealed surfaces - an area comparable to the sealed surfaces in the urban regions. Within these rural regions, transport infrastructure represents 68 % of this impervious surface. Buildings account for 12 %, and their surroundings, constituting 13 %, are utilized primarily for agricultural purposes, including farming and livestock activities. The deep learning approach achieved a classification accuracy of 72 % for a shallow model and 79 % for a deeper model, indicating that mapping building types is possible with reasonable accuracy. The outcomes of this study underscore the critical need to factor in the presence and utilization of impervious land cover within rural regions for the sustainable management of land resources.

Protection of groundwater resources from multi-hazards: An integration of risk assessment and watershed management

The improving groundwater resource protection depends on aligning contamination risk mapping with aquifer protection measures. However, existing methods often fail to align with aquifer protection goals, hindering practical implementation. The study demonstrated integrating vulnerability assessment, hazard evaluation, and groundwater protection initiatives using an L-Matrix approach. Testing this model in a well-documented watershed with multiple hazards to illustrates its applicability, providing a reference for similar scenarios. The risk was assessed through evaluation of aquifer vulnerability, using the DRASTIC method, coupled with the evaluation of a hazard potential considering industrial, livestock/agriculture and urban infrastructure sources in separate. The L-Matrix diagrams consisted of cartesian representations of V versus H, ranging from 0 to 1, segmented into four quadrants bounded by the cut-off lines V = 0.5 and H = 0.5. The quadrants were then linked to aquifer protection measures, with site inspection (high V and H), groundwater monitoring (low V and high H), land use planning (high V and low H), and tolerable expansion of hazardous activities (low V and H). The Paraopeba River basin was used as test site. Mining areas are abundant in this basin and were allocated high values of H and low to high values of V, requesting implementation of groundwater monitoring and periodic inspection of mining sites, even more because groundwater contamination with iron could be clearly associated with the presence of mine-tailings. In the results, it was observed that the DRASTIC vulnerability map of the aquifers has a mean vulnerability around the central value (V = 0.48 ± 0.08). Regarding the distribution of hazards, the average rounds to the value for to (Hindustry = 0.41 ± 0.37, Hagriculture = 0.33 ± 0.09 and Hinfrastructure = 0.27 ± 0.14). Thus, it is noted that for industrial activities, the risk of contamination could be moderate to high, while for agricultural and livestock activities, the risk lies between low and moderate contamination impact.

Pollutant Effects and Management of Animal Manure

Animal manure pollution constitutes a significant environmental issue, particularly in areas with intensive livestock activities. Manure, due to its various pollution loads such as nitrogen, phosphorus, heavy metals, and pathogens, can have adverse effects on soil, water resources, and air quality. Among manure management practices, sustainable methods such as composting, biogas production, and advanced treatment techniques stand out. These methods offer effective solutions for reducing the environmental impact of manure, while also holding the potential to be valued as valuable resources for agriculture and energy production. The growth in the global population along with urbanization has intensified the demand in commerce, industry, and agriculture sectors. This need to satisfy the supply-demand dynamics has led to increased production activities, subsequently giving rise to significant waste management challenges. This review examines the environmental impacts of pollution originating from animal manure, current management strategies, and research developments (R&D) in this field.

Diagnosis of Nutrient Discharges and Management Alternatives in Developing Countries and the Use of Microalgae as a Potential Solution: A Case Study from Different Provinces in Antioquia, Colombia

This research aims to propose management strategies to mitigate eutrophication caused by inefficient wastewater treatment plants in Colombia. The information analyzed was provided by environmental authorities such as IDEAM, CORANTIOQUIA, and CORNARE in Antioquia, where the average concentrations of phosphorus in wastewater from municipal, livestock, and industrial activities are 5.1, 30.6, and 29.1 mg P/L. The total nitrogen concentrations are 77, 143, and 121 mg N/L, respectively, surpassing the limit concentrations stated by the European Union, the United States, and Mexico, among others, while Colombia has not established its own limits. Including limitations for nutrient concentrations will align Colombia with the 2050 Sustainable Development Goals (SDGs), where microalgae species like Chlorella or Scenedesmus could be used in wastewater treatment systems for municipalities and industries. These microalgae can capture organic matter, nutrients, and greenhouse emissions and reduce the concentrations observed in natural water. They could also be an alternative for capturing heavy metals and some pollutants of emerging concern. In addition to the ecological and social benefits, the algal biomass could be valorized by transforming it into biological products such as fuels, fertilizers, and pigments when micropollutants are not present, reducing operational costs for treatment systems.

The environmental effects of traditional livestock

Traditional livestock farming refers to rudimentary family-type livestock farms, which are carried out in small stables or caves and with limited resources. Traditional livestock farming has existed since ancient times, when humans began to domesticate animals for their benefit. Throughout history, traditional livestock farming has been an important source of food, products and services for rural communities. Eta is mainly dedicated to the breeding and management of domesticated animals for production purposes. These animals may include cattle, sheep, pigs, goats, poultry, among others. Traditional livestock activities may vary by region and community needs, but generally include the production of meat, milk, eggs, wool, and other animal products. In traditional livestock farming, native breeds adapted to the climatic and geographical conditions of the region are usually raised. These breeds tend to be more resistant to diseases and adverse conditions (greater rusticity). Natural feeding: Animals in traditional livestock farming feed mainly on grass and natural forage, which provides them with a balanced diet rich in nutrients. This contributes to the quality of the meat and dairy products obtained from these animals

Seasonal Effects of Wildfires on the Physical and Chemical Properties of Soil in Andean Grassland Ecosystems in Cusco, Peru: Pending Challenges

Soils are a valuable renewable resource on human timescales, and they interact with distinctive grassland ecosystems characterized by unique biodiversity and essential provision of ecosystem services, such as water supply and carbon sequestration. However, knowledge of the effects of wildfires on soil properties and nutrient availability in the Andes remains limited. Andean grasslands are currently one of the ecosystems of the Peruvian Andes most affected by wildfires. Our objective is to analyze the effect of fire activity on the physicochemical properties of soil and analyze its social context in Cusco, in the southern Andes of Peru. Soil samples were collected during five periods, spanning both the dry and rainy seasons, to characterize changes in soil properties and monitor vegetation recovery post-fire in two local communities dedicated to livestock activities. The vegetation restored after the wildfire was measured by the “step transect” method. Post-fire changes in soil properties indicate slight increases in pH, electrical conductivity, organic matter, nitrogen, phosphorus, and potassium during the onset of the rainy season; thereafter, a gradual reduction in these values was observed. This reduction can be attributed to leaching associated with the seasonal rainfall and runoff regime. Our findings indicate that one-year post-fire, the biomass in burned areas is reduced to 30–46% of the biomass in unburned areas. A complete regeneration is likely to occur in up to 4 years; this assertion is supported by the perceptions of the affected population, as expressed in interviews conducted in the two farming communities. These results are significant for decision-makers formulation of policies and regulations regarding grasslands and their seasonal restoration.

Genomic insights of S. aureus associated with bovine mastitis in a high livestock activity region of Mexico.

Bovine mastitis, predominantly associated with gram-positive Staphylococcus aureus, poses a significant threat to dairy cows, leading to a decline in milk quality and volume with substantial economic implications. This study investigated the incidence, virulence, and antibiotic resistance of S. aureus associated with mastitis in dairy cows. Fifty milk-productive cows underwent a subclinical mastitis diagnosis, and the S. aureus strains were isolated. Genomic DNA extraction, sequencing, and bioinformatic analysis were performed, supplemented by including 124 S. aureus genomes from cows with subclinical mastitis to enhance the overall analysis. The results revealed a 42% prevalence of subclinical mastitis among the cows tested. Genomic analysis identified 26 sequence types (STs) for all isolates, with Mexican STs belonging primarily to CC1 and CC97. The analyzed genomes exhibited multidrug resistance to phenicol, fluoroquinolone, tetracycline, and cephalosporine, which are commonly used as the first line of treatment. Furthermore, a similar genomic virulence repertoire was observed across the genomes, encompassing the genes related to invasion, survival, pathogenesis, and iron uptake. In particular, the toxic shock syndrome toxin (tss-1) was found predominantly in the genomes isolated in this study, posing potential health risks, particularly in children. These findings underscore the broad capacity for antibiotic resistance and pathogenicity by S. aureus, compromising the integrity of milk and dairy products. The study emphasizes the need to evaluate the effectiveness of antibiotics in combating S. aureus infections.