Search Results (471)

Temperament has been associated with reproductive success in beef cattle, with excitable animals often exhibiting reduced fertility. This study evaluated whether acclimating heifers to human handling during an ovulation synchronization protocol improves temperament and pregnancy rates to timed artificial insemination (TAI). A total of 622 Bos taurus yearling beef heifers across five locations and two breeding seasons (eight herd-year observations) were stratified according to reproductive maturity and temperament and were assigned to either acclimation (TRT; n = 307) or control (CTRL; n = 315). Acclimated heifers were moved through handling facilities without restraint prior to each protocol event (days 0, 7, and 10). Temperament was assessed using chute score (CS) and exit velocity (EV), and plasma cortisol was measured in a subset of animals. Acclimated heifers had lower CS on days 7 and 10 (p = 0.011 and p = 0.010, respectively) and greater pregnancy rates to TAI compared with control heifers (54.5% vs. 45.2%; p = 0.018). Exit velocity and cortisol concentrations did not differ between treatments (p ≥ 0.13). These results indicate that acclimation during handling events can improve behavioral responses and pregnancy rates to TAI with modest additional handling time (a mean of 17 s per heifer; no more than 18 min per location/day), providing a practical and scalable strategy for beef producers. Full article

Accurate pig counting during herd transfers is fundamental to effective livestock management in large-scale swine production, yet existing methods struggle with bidirectional passages, boundary oscillations, and occlusion in real corridor environments. This study proposes an integrated system combining an improved YOLO-based detection model with a Hysteresis-based Multi-frame Temporal Confirmation Counting Strategy (HMTC). The YOLO11s baseline was enhanced using lightweight RepViT blocks, dynamic upsampling (DySample), and shape-aware bounding box regression (Shape-IoU). The resulting model achieves a mAP₅₀ of 0.982 with a compact architecture of 8.28M parameters, representing a 12.3% reduction relative to the baseline while improving detection accuracy. To address bidirectional counting challenges, the HMTC strategy utilizes hysteresis-based region classification, temporal confirmation, and trajectory verification to suppress boundary jitter and ensure directional correctness. Evaluated on nine videos from a single transfer corridor, the proposed system achieves an overall counting accuracy of 99.21% on this test set and runs in real time on an embedded edge device at over 30 FPS without loss of counting accuracy. Together, the improved detection model and HMTC counting strategy provide a cohesive approach to pig passage counting, validated here under a single transfer-corridor condition; these results offer a promising basis for automated animal inventory management, pending further validation across more diverse farm environments. Full article

Background/Objectives: Re-emergence of Haemophilus influenzae serotype b (Hib) was reported in several European countries. We aimed to characterize the age distribution of H. influnezae carriage before and after Hib vaccination. Methods: We conducted a systematic review and meta-analysis to reassess H. influenzae carriage dynamics in the pre- and post-Hib vaccination eras, focusing on age-specific patterns in childhood. Searches were performed with no date restriction and included PubMed/MEDLINE, Scopus, Web of Science, WHO Global Index Medicus, and the Cochrane Library. Eligible studies reported nasopharyngeal and/or oropharyngeal carriage prevalence and serotype distribution. Pooled estimates with 95% confidence intervals (CIs) were calculated using random-effects models, with age-stratified analyses. Results: Twenty-two studies were included (12 pre- and 10 post-Hib vaccination). Pre-vaccination, pooled H. influenzae carriage prevalence was 24.3% (95% CI, 18.9–30.7%), including 6% (95% CI, 3.4–12.8%) for Hib and 17.5% (95% CI, 12.6–23.9%) for non–type b strains. Post-vaccination, overall carriage remained similar (21.8%; 95% CI, 14.6–31.2%), but Hib carriage declined markedly to 0.67% (95% CI, 0.26–1.71%), while non–type b strains predominated (16.7%; 95% CI, 10.4–25.6%). Meta-analysis showed that carriage peaked around 4–5 years of age and persisted into later childhood. Conclusions: Hib vaccination has reduced Hib carriage, but overall H. influenzae carriage persists due to non–type b strains. Age-related persistence of carriage may have implications for herd protection, particularly in the context of evolving vaccination schedules with early childhood boosters. Continued surveillance integrating carriage and immunological data is needed to inform optimization of vaccination strategies. Full article

Saimaluu-Tash I, located in a high-altitude glacial valley in Kyrgyzstan, preserves one of Central Asia’s largest and most culturally significant concentrations of rock engravings. Despite extensive archaeological research, the physical, mechanical, and chromatic properties of the sandstone substrates relevant for conservation assessment remain poorly characterized. This study integrates petrographic microscopy, scanning electron microscopy, colorimetry, and Vickers hardness testing with the digital documentation of twelve engraved blocks to evaluate weathering processes, engraving practices, and long-term preservation. The engravings are carved into arkosic sandstone with carbonate cement, characterized by a weathered surface enriched in clay minerals and covered by a dark surface coating (patina). Weathered surfaces exhibit significantly lower hardness (0.6 ± 0.2 GPa) than unweathered stone (2.8 ± 0.6 GPa), which facilitated the engraving of the petroglyphs by allowing tools to penetrate more deeply into the stone. Colorimetric analyses reveal a strong chromatic contrast between the surface patina and the lighter sandstone exposed by engraving (ΔE ≈ 22.7). This contrast would have enhanced the original visibility of the petroglyphs and highlights potential conservation issues associated with the progressive reformation of this surface layer. Iconographic analysis identifies recurrent themes related to hunting, herding, mobility, animal management, and symbolic spatial practices within a nomadic high-mountain landscape. Overall, the results demonstrate how an integrated material and interpretative approach contributes to understanding rock art production processes. They support preventive and sustainable conservation strategies for vulnerable engraving landscapes shaped by long-term interactions between geological processes and human activity. Full article

Animal tuberculosis in cattle (TB) has been controlled in many European countries through long-standing eradication programs, yet sporadic breakdowns continue to occur in officially tuberculosis-free (OTF) areas, challenging the sustainability of disease freedom. This study aimed to identify and quantify herd-level and area-level risk factors associated with TB occurrence in Italian OTF regions in order to support risk-based surveillance strategies. A national longitudinal open-cohort study was conducted using data from the Italian Veterinary Information System, including approximately 300,000 herd–year observations from 2022 to 2025. The outcome was the occurrence of at least one TB breakdown per herd–year, analyzed using a discrete-time hazard modeling approach based on a binomial generalized linear mixed model with province-level random effects. The incidence of TB remained very low but increased over time, and significant spatial clustering was observed. Higher TB risk was associated with larger herd size, a previous history of TB, non-OTF herd status, proximity to recent breakdowns, number of animals purchased, transhumance practices, and a shorter time since acquisition of OTF status at provincial level. These findings highlight that, even in disease-free contexts, TB risk is heterogeneous and driven by identifiable factors, supporting the refinement of targeted, risk-based surveillance to maintain OTF status over time. Full article

Drought remains a persistent challenge affecting agricultural and pastoral livelihoods, particularly in dryland mixed crop–livestock systems. Water Monitoring and Early Warning Systems (WM-EWS) have increasingly been promoted as tools for delivering climate information services and supporting drought-related decision-making. However, empirical understanding of how users perceive and engage with such systems in pastoral contexts remains limited. This study explores stakeholder perceptions regarding the usefulness and operational relevance of a WM-EWS implemented in the Borana zone of Ethiopia. A mixed-methods approach was employed, combining survey data from 71 purposively selected mixed stakeholders with qualitative insights obtained through focus group discussions and key informant interviews. Findings indicate that respondents widely reported using WM-EWS information for water-related decision-making and perceived the system as useful in supporting drought preparedness and adaptive responses. Participants associated WM-EWS use with perceived changes in areas such as livestock management, access to water-related information, and coordination among stakeholders. Respondents also reported adopting multiple coping strategies, including early livestock sales, strategic herd mobility, and engagement with external support mechanisms. Respondents perceived fewer conflicts over water resources and greater engagement from humanitarian actors following WM-EWS implementation. Overall, the study provides exploratory insights into stakeholder experiences, perceived usefulness, and operational relevance of user-centered WM-EWS in drought-prone pastoral systems. The findings contribute to understanding how pastoral communities engage with climate information services while highlighting the need for future research using objective and longitudinal approaches to assess system effectiveness more rigorously. Full article

Dairy goat farming is a niche but relevant livestock system in alpine regions, yet its economic viability and environmental performance remain poorly quantified. This study assessed the relationship between profitability and environmental impacts in dairy goat farms in South Tyrol (Northern Italy). Data were collected from ten alpine dairy goat farms through on-farm interviews and accounting records and exploratorily analyzed using full-cost accounting and life cycle assessment (LCA). Given the small and purposive sample, all findings should be interpreted as preliminary and hypothesis-generating rather than statistically representative. Environmental impacts were evaluated from cradle to farm gate using two functional units: 1 kg of fat- and protein-corrected milk (FPCM) and 1 ha of agricultural land. Farm income per kg FPCM was highly variable, ranging from −€1.10 to €2.50, and depended strongly on herd size and subsidies. Average global warming potential was 2.96 ± 1.18 kg CO₂ eq per kg FPCM, but farm rankings changed when impacts were expressed per hectare. Pearson correlation and linear regression analyses showed a significant positive relationship between income and greenhouse gas emissions (r = 0.80, p < 0.05), indicating a trade-off between economic and environmental performance. Enteric methane and energy use were the main contributors to climate impacts. Improving productivity per animal rather than expanding herd size appears to be the most promising strategy to enhance profitability while limiting environmental burdens. Full article

Selective dry cow therapy (SDCT) has emerged as a key strategy to reduce antimicrobial use in dairy production while maintaining udder health. This study aimed to evaluate the feasibility and impact of implementing SDCT in Romanian dairy farms by comparing low-risk cows treated with internal teat sealant only (ITS) at dry-off with low-risk cows treated with intramammary antibiotics at dry-off. A prospective field study was conducted on two commercial dairy herds, including 87 cows classified based on somatic cell count (SCC) and differential SCC (DSCC), and compared with a historical cohort of 37 cows. Udder health parameters, milk yield during the first 100 days in milk (DIM), antimicrobial use, and economic outcomes were evaluated. No significant differences were observed between groups in terms of postpartum intramammary infections, somatic cell score, DSCC, or clinical mastitis incidence. Milk yield during early lactation was also not affected by treatment. The ITS-only strategy resulted in a substantial reduction in antimicrobial use (−88.8% per cow) without significant differences in total economic costs. Farm-related differences highlighted the influence of management conditions on outcomes. These findings indicate that, in low-risk cows, SDCT using ITS alone is a safe and effective alternative to antibiotic treatment and support the feasibility of implementing SDCT under Romanian dairy production conditions as a sustainable strategy to promote the targeted and prudent use of antimicrobials while reducing unnecessary antibiotic exposure in dairy herds. However, given the limited number of herds and animals included, further studies are needed to confirm these promising findings under a broader range of production conditions. Full article

The aim of this study was to identify the main causes of neonatal mortality in dairy calves (0–30 days of age) in Poland and to assess how infectious factors and management practices influenced the pattern of mortality. A retrospective analysis was performed on 498 calves from 312 herds between 2018 and 2024. The protocol included necropsy, enteropathogen diagnostics (PCR and ELISA), and analysis of herd management questionnaires. The leading causes of death were chronic diarrhea (42.4%), acute diarrhea (25.3%), and septicemia (10.8%). Calves that died from septicemia were the youngest (mean age 7.7 days), whereas those that died from chronic diarrhea were the oldest (20.3 days; p < 0.001). Lack of dam vaccination was associated with a higher occurrence of acute diarrhea (RR = 2.04) and septicemia (RR = 2.01) within the necropsied calf population. Inappropriate colostrum management was also associated with a higher occurrence of septicemia (RR = 1.99). Despite widespread antimicrobial use (>80%), intensive fluid therapy was used rarely (<7% in diarrheal cases). ETEC, rotavirus, and coronavirus were detected significantly more frequently in acute diarrhea, whereas Cryptosporidium parvum (C. parvum) was significantly more frequent in chronic diarrhea. Antimicrobials were used extensively, while intensive fluid therapy for diarrhea was implemented infrequently and inadequately relative to disease severity. This study makes an important contribution to the understanding of calf mortality in dairy herds by combining comprehensive postmortem diagnostics with pathogen detection (PCR and ELISA) and the assessment of management practices, thereby providing a holistic perspective on the problem. The analysis of 498 calves from 312 farms over a 7-year period offers an unprecedented and representative picture of the situation in Poland, one of Europe’s major milk producers. These results emphasize the crucial importance of proper colostrum management and vaccination, while also indicating a clear and urgent need to expand the use of fluid therapy in calves requiring treatment. The results identify not only the dominant pathogens and differences in disease course, but also management factors with direct implications for animal welfare and preventive strategies in dairy production. Full article

Sustainable cow–calf production requires balancing animal performance, economic returns, and environmental impacts under highly variable forage conditions. This study presents a conceptual model, CattleSat, whose decision-support framework integrates satellite-derived forage biomass with mechanistic ruminant nutrition models to simulate the effects of herd size and stocking strategies on animal performance, greenhouse gas emissions, and economic outcomes. A case study simulation using data from a Texas grazing system was conducted to demonstrate the application and behavior of the model under variable herd sizes. Results showed that increasing herd size reduced forage allowance, leading to decreased cow dry matter intake and, consequently, individual animal performance, particularly milk yield and weaning weight, while total calf production exhibited a curvilinear response. Economic outcomes followed similar patterns, with total net return increasing but net return per cow declining as herd size increased. Based on the assumptions and parameterization adopted in this simulation, a critical transition point was identified where system-level profitability and individual efficiency were balanced. Additionally, carbon emission intensity increased at higher stocking rates, indicating reduced environmental efficiency. Overall, forage dynamics were relevant drivers of system variability. These findings highlight the importance of adaptive, data-driven stocking strategies and demonstrate the potential of integrating remote sensing with mechanistic models to improve the sustainability of grazing systems. Future studies and model improvements should be incorporated to expand the applicability of the framework across diverse grazing systems. Full article

Trypanosomiasis remains a major constraint to small ruminant production in sub-Saharan Africa, particularly among smallholder farmers. Although WAD goats are considered trypanotolerant because of their relatively low mortality during chronic infection, recent findings show that this survival is at the expense of reproductive efficiency. To back up this claim with scientific evidence, this review followed PRISMA guidelines and systematically searched PubMed, Scopus, and Web of Science for important studies published between January 1980 and February 2026. Search terms included African animal trypanosomiasis, Trypanosoma spp., WAD goats, reproductive dysfunction, trypanotolerance, oxidative stress, and hypothalamic–pituitary–gonadal axis. Of the 1245 retrieved articles, 14 met the inclusion criteria. Evidence from the included studies indicates that chronic trypanosome infection disrupts reproduction through interconnected mechanisms involving systemic inflammation, oxidative stress, endocrine imbalance, and impaired gonadal function. Available evidence suggests that T. brucei is frequently associated with ovarian dysfunction and embryonic loss, whereas T. congolense has been linked in some studies to uterine pathology and gestational reproductive disturbances. Female goats commonly exhibit irregular oestrous cycles, embryonic loss, and prolonged kidding intervals, while males develop impaired spermatogenesis, abnormal sperm morphology, and reduced testosterone levels. These reproductive impairments reduce kid output, milk yield, herd productivity, and household livelihood resilience. Integrated control strategies combining vector control, targeted chemotherapy, nutritional support, and selective breeding are essential for preserving both fertility and survival in trypanosome-endemic areas. Full article

Ketosis is a prevalent metabolic disorder in early-lactation dairy cows, significantly affecting animal health, milk production, and farm profitability. Developing accurate and non-invasive methods for early risk detection is therefore of critical importance. In this study, a hybrid optimization framework integrating an Improved Whale Migration Algorithm (IWMA) with a Light Gradient Boosting Machine (LightGBM) is proposed to predict ketosis risk based on the milk fat-to-protein ratio (F/P) using Dairy Herd Improvement (DHI) records. The proposed IWMA enhances optimization performance through cubic chaotic initialization, elite opposition-based learning, and a Cauchy–Gaussian hybrid mutation strategy, enabling improved global exploration and convergence stability. A dataset comprising 25,155 DHI records collected from multiple commercial dairy farms over seven months was used for model development and evaluation. Experimental results demonstrate that the IWMA–LightGBM model achieves a classification accuracy of 0.8997 and a mean squared error of 0.289, consistently outperforming six benchmark optimization methods. Feature analysis identifies Herd Within Index (WHI), Energy Corrected Milk (ECM), Days in Milk (DIM), Milk Urea Nitrogen, and Foremilk as key predictors associated with metabolic risk. Overall, the proposed approach provides a robust and effective non-invasive solution for early-stage metabolic risk screening at the herd level, offering practical value for precision dairy management. It should be noted that the model is intended for risk assessment rather than clinical diagnosis of ketosis. Full article

Genetic resources of small ruminants are essential for food security in arid regions; however, basic data for each breed in Saudi Arabia remain incomplete. This study establishes a comprehensive national database through a systematic survey of 104 farms, covering 21,214 heads of livestock (sheep and goats) across the kingdom’s primary agro-ecological zones between January and October 2025. Although national census data indicate that major breeds of sheep such as Naeemi, Najdi, Arabi, and Harri or goats such as Ardi exceed the FAO’s numerical thresholds for “not at risk,” our analysis reveals a fundamental paradox of “genetic vulnerability,” defined as a high risk of inbreeding depression and genetic stagnation despite high census numbers. The results show significant regional variations in prolificacy (p < 0.05), with the southern region displaying a substantial productivity gap compared to the central and eastern regions, mainly due to reliance on traditional grazing (46.7%) and limited infrastructure. This vulnerability is driven by a high risk of systematic inbreeding, with 65.7% of breeders acquiring sires from their own herds, a situation worsened by a severe 80% shortage of high-quality breeding males in the central region. Furthermore, selection criteria heavily emphasize esthetic phenotypic traits (over 80%) rather than production indicators (less than 8%), hindering genetic progress. Correlation analysis showed that higher farmer education levels were negatively associated with reproductive challenges (r = −0.216), while high feed prices remained a near-universal obstacle (97.1%). To mitigate these risks, we recommend implementing region-specific sire exchange programs to break closed breeding loops and establishing a national performance recording system to shift selection focus from phenotypic traits to measurable productivity. This study provides a vital, evidence-based framework for transitioning toward data-driven, resilient conservation and breeding strategies. Full article

Human papillomavirus (HPV) is one of the most widespread sexually transmitted infections globally, whose persistent infection plays a major role in causing cervical cancer. Vaccination is therefore a key prevention strategy. Using a gender-stratified dynamic transmission model tailored to a Tunisian case, we investigate the impact of bivalent HPV vaccination. The proposed model accounts for partial cross-immunity and captures both direct and indirect effects of female-only vaccination. We derive the basic reproduction number and the corresponding herd immunity threshold, and a global sensitivity analysis shows that vaccine coverage, efficacy, and cross-protection are strong drivers of transmission reduction. Their combined effects on disease spread are quantified by varying these parameters across biologically relevant ranges. An optimal control problem was formulated and analyzed using Pontryagin’s Maximum Principle to minimize persistent infections and cancer cases while limiting vaccination effort. Three vaccination scenarios are compared: an ideal case with full vaccine availability and two resource-constrained cases with respective maximum coverage rates of $100\%$ and $80\%$. The numerical simulations revealed that the optimal strategy under unconstrained conditions can achieve significant suppression of infection, persistence, and cancer. Under constrained effort, the optimal control still achieves substantial reductions in disease burden, with minor differences in dynamics and speed of immunity buildup. Our results highlight the effectiveness of female-only HPV vaccination in providing both direct and indirect protection. They also emphasize the importance of sustained coverage in constrained settings. Full article

The optimization of regulatory strategies for live-streaming e-commerce is essential for tackling misleading marketing behaviors (MMBs) and protecting stakeholders’ rights. This is fundamental to building a healthy and sustainable live-streaming e-commerce ecosystem. To address governance challenges and regulatory inefficiencies, this paper adopts a behavioral perspective and constructs a tripartite evolutionary game model involving platforms, live streamers, and consumers. It unveils the interactive mechanism between dual herd mentality and overconfidence in shaping regulatory strategy evolution, with numerical simulations validating the dynamic regulatory pathway. The findings indicate: (1) The severity of platform penalties is the linchpin of collaborative governance. Under low penalties, herd mentality may spur consumers to report live streamers who choose the MMB strategy, but the absence of deterrence traps the market in a “more reports, more MMBs” vicious circle. Moderate-to-high penalties align herd behavior with non-MMBs by live streamers, but risk unleashing irrational herd conduct among consumers. A dynamic matching mechanism that adapts penalty intensity to prevailing herd levels is therefore essential. Once a critical threshold is crossed, it enables synergistic benefits through joint supervision by consumers and platforms. (2) Overconfidence on the live streamer’s side magnifies the illusion of inflated returns. At low levels, the herd mentality from consumers can correct this psychological bias, but once overconfidence becomes pronounced, only large-scale supervising can outweigh the expected gains from MMBs. (3) These two behavioral traits jointly shape the equilibrium of the live-streaming e-commerce system and should therefore be treated as key considerations when designing dynamic regulatory strategies. Full article