Search Results (63)

This review analyses and logically structures modern intelligent sensor technologies in the context of animal husbandry, feed production, and veterinary medicine. The main research discussed in the article focuses on machine learning based on modern neural network models, computer vision, and sensor systems that are transforming the methods for assessing the health, behavior, and nutrition of farm animals. The first part examines modern approaches to quality control and optimization of mineral and vitamin premixes, including visual inspection using visual sensors and neural networks. Key roles are played by precise dosing, component stability (minerals, vitamins), and the transition to more bioefficient organic forms of micronutrients to reduce environmental impact. Improvements in feed and premix production are analyzed, including automation, energy management, and the use of machine learning for non-destructive quality control, defect detection, mixing homogeneity assessment, and vitamin stability prediction. The second part analyzes methods for animal location and behavior detection. This article presents computer vision-based systems, including modifications of YOLO, for automatically tracking and classifying key behavioral patterns (lying down, standing, feeding, and aggression) in cattle and pigs, even in crowded conditions. It also discusses the use of ultra-wideband (UWB) systems and accelerometers combined with machine learning for high-precision positioning and detection of specific behavioral anomalies, such as lameness and playfulness. The third section focuses on the application of machine learning in veterinary diagnostics, including the automated interpretation of medical images (X-ray, ultrasound, and MRI) as sensor data streams for the diagnosis of cardiovascular, oncological, and orthopedic diseases in farm and small animals. Furthermore, the article examines the use of machine learning models for proactive disease diagnosis in farm animals and poultry based on multimodal data and image analysis. Considerable attention is given to methods and tools for radiometric diagnosis of animal diseases at an early stage using microwave sensors, as well as laser therapy and surgery in veterinary medicine. The review concludes that the integration of intelligent systems enables a transition to data-driven livestock management, significantly improving animal welfare and, consequently, the efficiency and sustainability of agricultural production. Full article

In artificial breeding of forest musk deer (Moschus berezovskii), common diseases such as abscess, enteritis, pneumonia, and parasitic infections exhibit persistently high morbidity rates. The early symptoms of certain diseases are often insidious and difficult to discern. Conventional manual inspection routines not only fail to achieve accurate diagnosis but also frequently disturb the animals, induce stress responses, and consequently delay optimal treatment windows. To address this practical challenge, this study employs an improved BRW-GPLinker joint entity-relationship extraction approach to perform integrated extraction and structural organization of disease entities, symptom manifestations, etiological associations, and preventive and therapeutic measures from farming literature and clinical records, thereby constructing a disease knowledge graph for forest musk deer. Through the introduction of a Boundary-Aware Module for refined entity boundary detection, a Relative Distance Bias Module to mitigate pairing errors in dense contexts, and a Weighted Sparse Multi-label Cross-Entropy loss function to enhance recall for infrequent relations, the proposed model achieves an F1 score of 0.887 on a self-constructed dataset and demonstrates favorable generalization capability on medical-domain datasets. By transforming fragmented clinical logs and manuals into structured medical associations, this knowledge graph facilitates rapid retrieval of forest musk deer disease information, thereby enhancing veterinary decision-making efficiency and assisting forest musk deer health management. Full article

Background and Clinical Significance: Animal hoarding is a recognized form of animal cruelty characterized by the accumulation of animals under conditions of inadequate care, leading to compromised welfare and an increased risk of disease transmission. Veterinarians are often the first to identify such cases through clinical presentation. This case report describes a forensic investigation of a dog associated with animal hoarding and environmental neglect in Bangkok, Thailand. Case Presentation: A 7-year-old male mixed-breed dog was presented with seizures, emaciation, dehydration, and ectoparasite infestation. Hematological findings revealed leukopenia and anemia, and diagnostic testing confirmed infection with canine distemper virus (CDV) and Dirofilaria immitis. Despite supportive treatment, the dog died within 48 h. A subsequent site inspection, conducted using the TRACE model and based on crime scene investigation principles, identified 13 dogs housed in overcrowded and unsanitary conditions. Environmental assessment revealed poor sanitation, waste accumulation, and fluorescent stains of unknown origin detected under ultraviolet light (365 nm) in the cage areas. Among the animals, infections with CDV (23.08%), Dirofilaria immitis (53.85%), and Ehrlichia canis (61.54%) were identified, indicating a high burden of infectious and vector-borne diseases. Conclusions: This case demonstrates the value of integrating clinical veterinary findings with forensic investigation in the assessment of animal neglect. The combined use of clinical, laboratory, and environmental evidence strengthens documentation and supports potential legal action. Enhanced veterinary forensic training and standardized protocols are recommended to improve early detection and intervention in animal cruelty cases. Full article

Porcine cysticercosis, caused by the larval stage of the zoonotic parasite Taenia solium, poses a public health and economic burden in endemic regions. This study explored stakeholder perspectives on porcine cysticercosis control and risk factors in Busia County and documented proposed control measures with relevance to endemic regions. A qualitative design was used, involving eight key informant interviews (KIIs) and twelve focus group discussions (FGDs). Data were analyzed qualitatively by identifying emerging themes. The study found that smallholder semi-confined pig farming is the dominant system in the area, driven mainly by economic constraints, which elevates the risk of porcine cysticercosis. Poor hygiene, inadequate sanitation, and lack of safe water also contribute, alongside informal pig slaughter and weak meat inspection, compromising pork safety. Low public awareness limits preventive practices and hinders effective public health interventions. These findings highlight the need for integrated control measures, including community education on preventive behaviors and practices; strengthened veterinary services; improved sanitation; and enforced meat inspection. Coordinated One Health actions across public health, veterinary services, and communities are crucial to mitigate these interconnected health risks. The findings may guide interventions in comparable endemic settings and offer insights for managing other zoonotic diseases with similar transmission dynamics. Full article

Dairy foods—particularly cheeses produced from raw or minimally processed milk—remain vulnerable to hazards such as Listeria monocytogenes, where delayed laboratory confirmation can expand recalls, increase food waste, and delay outbreak containment. This study proposes a veterinary-aware digital traceability framework that embeds herd health data, milk-quality testing, and inspection outcomes directly into batch-level EPCIS event records. By representing veterinary public health controls as structured, machine-actionable traceability elements, the framework enables automatic logging of mandatory control points, systematic compliance verification, and rule-based risk state transitions within standard EPCIS infrastructures. Using regulation-consistent dairy simulations modeling delayed Listeria detection during maturation, we evaluate the operational impact of event-level causal traceability within the proposed architecture. Compared with conventional time-window recall strategies, provenance-based trace-forward queries reduced recall scope under the evaluated synthetic scenarios. Integrating structured veterinary controls into EPCIS-based traceability systems supports automated regulatory evidence generation and more targeted recall decisions, contributing to improved auditability and reduced food waste in dairy supply chains. Full article

African swine fever (ASF) remains a major challenge for global animal disease prevention and control. Public sentiment during ASF, along with farmer and consumer behavior, are underexplored factors in ASF control. This study examines how public sentiment influences farmers’ risk perceptions and consumers’ behavioral responses, including consumption substitution intention and pork price expectations, and assesses the implications of these behaviors for disease control effectiveness. Using provincial panel data from China (June 2021–November 2022), sentiment analysis of 1.19 million Weibo posts, and a micro-level survey of 920 farmers, we combine panel regression, spatial econometric analysis, and micro-level behavioral evidence. Results show that public sentiment significantly elevates farmers’ risk perception, which may influence reporting decisions, marketing timing, and biosecurity investment, thereby increasing the complexity of surveillance and disease control. Sentiment intensifies substitution intentions and shapes pork price expectations, leading to reduced demand for formally marketed pork and potential shifts to lower-traceability or less-inspected channels. Spatial analysis indicates that the half-decay distance for amplifying ASF risk via sentiment is about 1300 km, providing parameters for cross-jurisdictional coordination. These findings support integrating socio-behavioral indicators into veterinary early warning systems and designing targeted disease risk communication under a broader One Health framework. Full article

Background: Veterinarians are pivotal to wildlife health surveillance and game-meat safety, yet these topics receive limited emphasis in many veterinary curricula. Understanding students’ perceptions can inform targeted educational improvements. Methods: We conducted a cross-sectional, anonymous online survey among students enrolled in the Integrated Master’s in Veterinary Medicine at ICBAS-UP (Portugal). The questionnaire covered sociodemographic, meat and game-meat consumption, perceived appeal of working with game animals, and multi-select views on hunting, game-meat consumption and the veterinary role. We computed descriptive statistics and tested associations between categorical variables using Pearson’s Chi-square or Fisher’s exact tests (Monte Carlo correction when appropriate). Results: Of the 391 eligible students, 152 responded (39%). The majority (76%) associated hunting with veterinary inspection of game meat and research in epidemiology and emerging diseases, and many (72%) recognized as core roles monitoring the health of game animals and the contribution to public health and environmental sustainability. Significant associations included: prior game-meat consumption with finding game animals appealing/interest in learning more; year of enrolment with recognising hunting as an economic activity and acknowledging veterinary inspection and public health contributions; and perceiving game animals as appealing with associating hunting with population control (all p < 0.05; Cramer’s V indicating weak–moderate effects). Conclusions: Students show awareness of veterinary roles in game-animal health and meat inspection, but interest in working with game animals is low and knowledge gaps persist (e.g., inspection of game meat). Findings support curricular integration of wildlife health, game-meat inspection and One Health. Multicenter studies and evaluation of educational interventions are warranted. Full article

The slaughter of pregnant pigs raises legal, ethical, and animal welfare concerns in pig production. Relevant information for this overview was compiled from research identified through searches of PubMed, Web of Science, and Google Scholar using defined combinations of search terms related to pregnancy, slaughter of sows, fetal age, gestational stage, and prevalence. No lower time limit for publication year was predefined; publications published up to 2025 were considered. Regulations vary widely between countries, with some specifying clear restrictions for animals in late gestation, while many provide no stage-specific limits. Reasons for culling include economic pressures, management practices such as unrecognized pregnancies and mixed-sex housing, and health or welfare issues. In Europe, the prevalence of sows being pregnant at slaughter ranges from 1.5% to 13%, with most fetuses being in the first or second trimester and a small proportion in the final trimester. In Africa, prevalence is higher and more variable, ranging from 9% to 36.14%, with a larger share of fetuses in mid to late gestation. Data from America is limited, reporting prevalences between 5.9% and 13.5%. The comparability of prevalence estimates is limited due to high heterogeneity and differences in study design. Fetal age can be assessed using metric or non-metric methods, applied either postmortem or in vivo (for example, ultrasonography). Variations in study design, methodology, and population characteristics restrict direct comparability. For legal enforcement and veterinary inspection, reliable fetal age assessment is important, and updated fetometric reference values could contribute to a more consistent interpretation of fetal age. Full article

Animal welfare is a key component of sustainable poultry production and is routinely monitored through official veterinary inspections. The aim of this study was to determine the level of welfare compliance among different poultry species and production categories, to compare compliance levels across these groups, and to assess long-term trends using official inspection data. The study was based on the results of supervisory inspections conducted by veterinary inspectors in poultry farms in the Czech Republic between 2016 and 2024. Welfare compliance was evaluated in laying hens, broiler chickens, turkeys, ducks, and geese using a standardized system of welfare assessment checkpoints applied during official controls. Inspections were classified as compliant or non-compliant based on the presence or absence of deficiencies, and overall compliance levels were calculated as the proportion of animals kept in farms with compliant inspections. Across the entire study period, the proportion of poultry kept in farms with compliant inspections ranged from 82.8% to 98.4%, with the highest compliance level observed in turkeys, followed by ducks and broiler chickens, while the lowest compliance level was recorded in geese. Differences among poultry species and categories were statistically significant (p < 0.05). Comparison of two time periods (2016–2018 and 2022–2024) revealed significant improvements in compliance for broiler chickens, ducks, and geese, whereas significant declines were observed for laying hens and turkeys (p < 0.001). These results demonstrate clear differences in welfare compliance among poultry species and categories and indicate that compliance trends over time are not uniform across the poultry sector. Official veterinary inspection data provide a valuable tool for large-scale assessment of welfare compliance and for identifying poultry sectors that may benefit from targeted welfare improvement measures. Full article

Fusarium verticillioides is a common pathogenic fungus of corn since it causes severe yield losses and produces mycotoxins to threaten the health of both humans and livestock. Although extensive research has characterized specific genetic and environmental factors influencing mycotoxin production, a systematic understanding of the temporal transcriptional dynamics governing its developmental progression remains lacking. This study addresses this critical knowledge gap through a time-series transcriptomic analysis of F. verticillioides at four key cultivation stages (3, 5, 7, and 9 days post-inoculation). Transcriptomic analysis identified 1928, 2818, and 1934 differentially expressed genes (DEGs) in the comparisons of FV3 vs. FV5, FV5 vs. FV7, and FV7 vs. FV9, respectively. Gene Ontology enrichment revealed 76, 106, and 56 significantly enriched terms across these comparisons, with “integral component of membrane” consistently being the most enriched cellular component. Pathway analysis demonstrated “amino acid metabolism” and “carbohydrate metabolism” as the most significantly enriched metabolic pathways. Notably, the fumonisin (FUM) and fusaric acid (FA) biosynthetic gene clusters exhibited coordinated peak expression during the early cultivation, followed by progressive decline. Mfuzz clustering further delineated 12 distinct expression trajectories, highlighting the dynamic transcriptional networks underlying fungal adaptation. This work provided the first comprehensive temporal transcriptome of F. verticillioides, establishing a foundational resource for understanding its stage-specific biology and revealing potential time-sensitive targets for future intervention strategies. Full article

Laying hens in the late laying period often experience reduced productivity and declining egg and meat quality, which limits breeding efficiency and resource utilization. This study aimed to evaluate the effects of multi-component Botanical Crude Extracts (BCEs) on egg and meat quality, metabolic health, and gut microbiota in aged laying hens. A total of 4320 hens were supplemented with 0.3% BCEs for 100 days, with evaluations at 60 and 100 days. BCE supplementation significantly enhanced egg flavor by promoting aromatic and fat-soluble volatiles and reducing odorous compounds (p < 0.05). BCEs improved yolk nutrition by enriching n-3 polyunsaturated fatty acids, especially docosahexaenoic acid (DHA), and optimizing the n-6/n-3 ratio (p < 0.05). A moderate reduction in amino acids was observed, which may reduce bitterness and ammonia burden (0.05 ≤ p < 0.10, trend). In muscle, BCEs improved protein–fat distribution, increased intramuscular fat, and enhanced flavor-related metabolites, significantly improving meat quality of culled hens (p < 0.05). BCEs also reshaped gut microbiota, reducing harmful taxa and promoting short-chain fatty acid and aromatic metabolite biosynthesis (p < 0.05). Serum metabolomics revealed modulation of AMPK, calcium, and cholesterol pathways, improving antioxidant capacity and lipid regulation (p < 0.05). Correlation analyses linked beneficial bacteria and metabolites with yolk DHA levels and flavor (p < 0.05). Overall, BCEs enhanced egg and meat quality and physiological health, providing guidance for functional feed strategies in aged laying hens. Full article

Despite its many important health benefits, fish consumption is associated with a growing risk of toxicity due to increasing levels of environmental pollution. Therefore, this study compared the potential risks to human health associated with the consumption of imported fish and locally produced fish, which may be contaminated with toxic elements. A selection of the most commonly consumed fish in Poland, imported and domestic, was assayed for 11 trace elements in muscle tissue using ICP-AES, CV-AAS and GF-AAS. In general, the levels of toxic elements decreased according to the following sequence: As > Hg > Cd > Pb; however, the values of lead were slightly higher than those of cadmium in cod. All imported fish contained significantly more cadmium than the Polish species. Our assessment of EDI, THQ, TTHQ, TWI, PTMI and BMDL₀₁ indicates that typical levels of consumption of fish do not pose a risk based on the assumed intake. The highest TTHQ was observed in tilapia, but it did not exceed 0.169. This was well below the acceptable value. Hence, the consumption of these fish does not appear to entail any non-carcinogenic or carcinogenic health risks. In addition, the estimated consumer risk parameters indicate no risk to consumer health in the short term; however, the presence of these elements may present a long-term hazard due to the potential for bioaccumulation. Continuous monitoring of trace element concentrations, especially toxic ones, is recommended for the protection of communities in both local and global contexts. Our findings provide a clearer picture of the health risk associated with the consumption of fish in the Polish market. Full article

Because of the relevance of Salmonella spp. in poultry, in 2016, the Brazilian Ministry of Agriculture, Livestock, and Supply updated its regulation for the control and monitoring of Salmonella in the poultry meat production chain. We herein present the results of the official monitoring of sampling cycles of carcasses performed by the Brazilian official veterinary inspection service (SIF) and the Center for Epidemiology, Statistics, and Public Health of the Veterinary School of the Federal University of Minas Gerais. Samples were collected in March–September 2017, during which 140 slaughterhouses slaughtered over three billion chickens. The establishments were classified according to the number of animals slaughtered per day, and cycles varied according to the size of the establishment. Sample weights were defined to increase the external validity of the data. Chicken carcasses were randomly sampled after chilling and dripping. A total of 1434 samples were analyzed in official laboratories using Vidas SLM and SPT systems, for positive samples were used the ISO 6579:2014. The estimated prevalence of Salmonella spp. in chicken carcasses was 17.88% (95% CI 14.34–22.05). Considering the representativeness of Brazilian chicken meat in the global market, constant evaluation and review of the program is necessary to reduce the prevalence of Salmonella. Full article

This study investigated the perceptions of animal welfare and the consumption of alternative protein sources among future professionals in agronomy, food science, and veterinary medicine. A sample of 769 participants from three faculties [ESALQ (“Luiz de Queiroz” College of Agriculture), FZEA (School of Animal Science and Food Engineering), and FMVZ (School of Veterinary Medicine and Animal Science)] of the University of São Paulo was used. These faculties have different teaching focuses: agronomy, food and animal production, and veterinary, respectively. A relationship between the perception of animal welfare and alternative sources of protein based on the participants’ educational background was verified, specifically: (i) participants from the FZEA (food science) and FMVZ (veterinary) units would be interested in consuming farmed meat and expressed interest in trying it; (ii) students from the ESALQ (agronomy) have a low level of knowledge about animal welfare and are not very interested in knowing how animals are reared, and few participants attribute the presence of the health inspection seal as influencing their purchasing intention; (iii) participants, regardless of their academic background, did not express an intention to reduce their red meat consumption; (iv) the ESALQ was the campus which showed the most skepticism about animal sentience; (v) most participants from the FMVZ and FZEA reported being willing to pay 4–5% more for products that guarantee animal welfare. The findings suggest that the academic context influences individuals’ perceptions and food choices, highlighting the need for educational strategies that foster a greater awareness of animal welfare, encourage the adoption of more sustainable practices, and promote the acceptance of alternative protein sources within the agri-food sector. Full article

Subtle locomotor asymmetries are common in horses and may go unnoticed during routine pre-race clinical inspections, particularly when based solely on subjective evaluation. This study aimed to describe vertical head and pelvic movement asymmetries in racehorses that passed official pre-race inspections at a traditional racing event. Twenty-four horses were analysed using a markerless AI-based gait analysis system while trotting in-hand and during lungeing in both directions. Asymmetry parameters (HDmin, HDmax, PDmin, and PDmax) were extracted from video recordings, with values ≥0.5 considered clinically relevant. Vertical asymmetries were detected in 71% of horses during straight-line evaluation and in 79% during at least one lungeing direction. Some horses showed relevant asymmetries only under specific movement conditions, underscoring the complementary role of straight-line and lungeing assessments in comprehensive gait evaluation. These results suggest that objective gait analysis could enhance pre-race veterinary assessments, especially in traditional racing, where horses are subjected to significant biomechanical stress, including variable surface properties and repetitive directional loading. In such complex and dynamic environments, relying solely on visual assessment may result in the underdiagnosis of subtle locomotor alterations. The AI-based tools offer potential to improve the detection of subtle irregularities and support evidence-based decisions in performance horse management. Further investigations are warranted to validate the clinical relevance of currently adopted asymmetry thresholds, refine their diagnostic value, and support their integration into standardized pre-race evaluation protocols. Full article