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The widespread use of antibiotics in intensive animal husbandry, and the agricultural utilization of manure from such farms, imposes a significant burden on the environment. Consequently, the effects of antibiotics should be studied not only in animals and humans but also in all components of biocenoses and agrocenoses. In our study, we analyze the impact of four different concentrations of tetracycline present in soil (0, 5, 50, and 500 mg/kg of soil) on the growth and key photosynthesis parameters of pea seedlings: chlorophyll concentration, aminolevulinic acid concentration, aminolevulinic acid dehydrogenase activity, and ribulose bisphosphate carboxylase-oxygenase (RuBisCO) activity. At the lowest tetracycline concentration, chlorophyll content decreased by 13% compared to the control (0 tetracycline), while at the highest antibiotic concentration, it decreased by as much as 27%. Similarly, the decrease in aminolevulinic acid (a chlorophyll precursor) concentration was significant, amounting to 34%. However, the activity of the dehydrogenase enzyme, which consumes this precursor, decreased even more drastically by 51%, indicating significant disturbances in the light phase of photosynthesis. However, the activity of RuBisCO in pea plants subjected to tetracycline was even more severely affected, dropping by 58%, 69%, and 70% in soils with increasing concentrations of tetracycline. The reduction in enzyme activity could only partially be explained by a less pronounced decrease in the quantity of RuBisCO (large subunit) protein, which amounted to 6.5%, 11%, and 35% for tetracycline concentrations of 5, 50, and 500 mg/kg of soil, respectively. [ABSTRACT FROM AUTHOR]

This study investigates the intricate factors influencing meat quality, including breed, rearing conditions, and processing, with a primary focus on oxidative stress in Holstein Friesian and Simmental cattle within conventional and intensive production systems. A notable difference in oxidative stress was found between animals subjected to intensive-farming versus conventional practices, with Holstein cattle showing a more pronounced antioxidant gene response than Simmental. The analysis revealed that intensive rearing conditions resulted in increased DNA repair activity and expression of stress-response proteins like heat shock proteins, suggestive of greater cellular damage and an adaptive stress response. Muscle tissue analyses, revealed a clear distinction in gene expression associated with meat quality between the breeds and the type of farming system. A negative correlation emerged between oxidative stress levels and genes related to muscle development, which affects meat quality. Intensive farming conditions altered the expressions of apoptotic proteins, impacting meat quality at the molecular level. These results underscore the profound effect rearing conditions have on meat quality, driven by stress-related molecular responses. This highlights the need for further research into the influence of husbandry practices on animal welfare and meat quality, with the intention of developing strategies to mitigate the negative consequences of intensive-farming. [ABSTRACT FROM AUTHOR]

Animal rights organisations worldwide fight against live shipments of meat animals. The main Israeli NGOs leading the fight are Animals-Now, Israel against Live Shipments, and Let the Animals Live. Their visual rhetoric highlights the cruelty of these shipments. Combined with written messages, photographs of animal suffering appeal to viewers’ emotions and conscience. This article examined ‘Stop the Death Transports!’ – The most extensive campaign led by these NGOs, together with Animals Australia, in 2016. It analysed the campaign poster from the approaches of photography semiotics and visual contextual analysis, informed by theories of visual culture and animal ethics. The campaign represents an intermediate approach between the hardcore and softcore approaches, using visual and verbal references to the Holocaust and slavery. However, though the use of the Holocaust is highly charged for local Jewish viewers thus contributing to the understanding of the immorality of consuming meat, it may in fact assuage their conscience by shifting the moral burden from the meat eaters to the transporters. [ABSTRACT FROM AUTHOR]

Introduction: Resveratrol (Res), a natural plant antitoxin polyphenol, is widely used in animal husbandry due to its antioxidant and anti-inflammatory properties, and current research has focused on humans, sows, and female mice. This study aimed to analyze the effects of dietary Res supplementation in ewes on antioxidant activity, immune responses, hormone levels, rumen microbiota and metabolites across various reproductive stages (estrus, pregnancy, and lactation). Methods: Twenty-four healthy ewe lambs (Hu sheep, 2 months old) with a similar body weight (BW) (mean: 21.79 ± 2.09 kg) were selected and randomly divided into two groups: the control group (Con) and the Res group (Res). The Res group received 10 mg/kg Res (based on BW) in addition to their basal diet. Results: Res increased the levels of follicle-stimulating hormone (FSH), luteinizing hormone (LH), and estradiol (E2) in ewes at sexual maturity (p < 0.05). Additionally, Res supplementation induced significant increases in serum glutathione peroxidase (GSH-Px), IgG, FSH, and LH levels during estrus (p < 0.05); serum IgA, IgG and IgM during pregnancy and lactation (p < 0.05); and serum LH, glucose, GSH-Px, and catalase (CAT) levels during lactation (p < 0.05). Meanwhile, serum interleukin 1β (IL-1β) (p =0.005) and cholesterol levels (p = 0.041) during the lactation stage decreased following Res supplementation. Notably, colostrum IgA, IgG, and fat concentrations were significantly higher in the Res group than in the Con group (p < 0.05). Moreover, Res altered the rumen microbiota in ewes. Specifically, the relative abundance of Prevotella (p < 0.05) during pregnancy and Rikenellaceae_RC9_gut_group (p < 0.001) during lactation were significantly increased in ewes under Res treatment. The abundance of Rikenellaceae_RC9_gut_group was positively correlated with the levels of Ig A, Ig M, E2, FSH, LH, GSH-PX, and CAT. Additionally, Res altered the activity of metabolic pathways such as progesterone-mediated oocyte maturation, the estrogen signaling pathway, ovarian steroidogenesis, and the AMPK signaling pathway, and the levels of AICAR and 2-hydroxyestradiol metabolites, both during pregnancy and lactation. Discussion: There findings show that Res can improve health, antioxidant status, and immune activity throughout the reproductive cycle in ewes by regulating rumen microorganisms and metabolites. [ABSTRACT FROM AUTHOR]

In this study, the effects on silage performance and microbial community of sorghum straw treated with the addition of enzymes (cellulase (CE), xylanase (XE)) and extrusion puffing technology, combined with SEM, XRD, and FTIR techniques, were thoroughly investigated. The results showed that the enzyme preparations, especially xylanase, significantly improved the nutritional value and fermentation efficiency of straw and enhanced the silage effect. Extruding significantly changes the surface structure of the straw, increasing the surface area and porosity, and promoting the attachment of microorganisms. This study not only optimized the sorghum straw silage performance but also provided technical support for the efficient use of straw resources, which is of great significance for the sustainable development of animal husbandry and the resource utilization of agricultural waste. [ABSTRACT FROM AUTHOR]

Historians and archaeologists have been debating the scale of animal husbandry in ancient Greece for decades. This study contributes to the debate by examining Classical and Hellenistic faunal assemblages from Magoula Plataniotki, New Halos, and Pherae through non-destructive zooarchaeological methods and a multi-isotopic (87Sr/86Sr, δ13C, and δ18O) approach. Zooarchaeological data suggest that small-scale sedentary animal husbandry focused on caprine production in Magoula Plataniotiki and New Halos, and small-scale and semi-specialised animal husbandry was practised in Pherae. Isotopic data show both sedentary and mobile management of livestock in all sites, indicating different levels of production intensity and variety of goals. Based on our results, we propose an economic model whereby semi-specialised and small-scale animal husbandry co-existed, confirming mixed husbandry models for ancient Greece. [ABSTRACT FROM AUTHOR]

The structure of social networks fundamentally influences spreading dynamics. In general, the more contact between individuals, the more opportunity there is for the transmission of information or disease to take place. Yet, contact between individuals, and any resulting transmission events, are determined by a combination of spatial (where individuals choose to move) and social rules (who they choose to interact with or learn from). Here, we examine the effect of the social–spatial interface on spreading dynamics using a simulation model. We quantify the relative effects of different movement rules (localized, semi-localized, nomadic and resource-based movement) and social transmission rules (simple transmission, anti-conformity, proportional, conformity and threshold rules) to both the structure of social networks and spread of a novel behaviour. Localized movement created weakly connected sparse networks, nomadic movement created weakly connected dense networks, and resource-based movement generated strongly connected modular networks. The resulting rate of spreading varied with different combinations of movement and transmission rules, but—importantly—the relative rankings of transmission rules changed when running simulations on static versus dynamic representations of networks. Our results emphasize that individual-level social and spatial behaviours influence emergent network structure, and are of particular consequence for the spread of information under complex transmission rules. This article is part of the theme issue 'The spatial–social interface: a theoretical and empirical integration'. [ABSTRACT FROM AUTHOR]

Antimicrobial Resistance (AMR) has evolved from a mere concern into a significant global threat, with profound implications for public health, healthcare systems, and the global economy. Since the introduction of antibiotics between 1945 and 1963, their widespread and often indiscriminate use in human medicine, agriculture, and animal husbandry has led to the emergence and rapid spread of antibiotic-resistant genes. Bacteria have developed sophisticated mechanisms to evade the effects of antibiotics, including drug uptake limitation, drug degradation, target modification, efflux pumps, biofilm formation, and outer membrane vesicles production. As a result, AMR now poses a threat comparable to climate change and the COVID-19 pandemic, and projections suggest that death rates will be up to 10 million deaths annually by 2050, along with a staggering economic cost exceeding $100 trillion. Addressing AMR requires a multifaceted approach, including the development of new antibiotics, alternative therapies, and a significant shift in antibiotic usage and regulation. Enhancing global surveillance systems, increasing public awareness, and prioritizing investments in research, diagnostics, and vaccines are critical steps. By recognizing the gravity of the AMR threat and committing to collaborative action, its impact can be mitigated, and global health can be protected for future generations. [ABSTRACT FROM AUTHOR]

Simple Summary: The daily behaviors of Holstein cows, such as standing, grazing, and lying, as well as abnormal behaviors such as estrus, licking, and fighting, are closely related to their physiological health. Accurately identifying these behaviors is of great significance for monitoring the health of dairy cows. For instance, hoof disease generally causes dairy cows to lie down more, while cows in estrus exhibit mounting behavior. This study employs deep learning technology based on computer vision to detect dairy cow behavior. The experimental results demonstrate that this method effectively meets the need for the accurate and rapid identification of Holstein cow behavior in real agricultural environments, which is crucial for improving the economic benefits of farms. Cow behavior carries important health information. The timely and accurate detection of standing, grazing, lying, estrus, licking, fighting, and other behaviors is crucial for individual cow monitoring and understanding of their health status. In this study, a model called CAMLLA-YOLOv8n is proposed for Holstein cow behavior recognition. We use a hybrid data augmentation method to provide the model with rich Holstein cow behavior features and improve the YOLOV8n model to optimize the Holstein cow behavior detection results under challenging conditions. Specifically, we integrate the Coordinate Attention mechanism into the C2f module to form the C2f-CA module, which strengthens the expression of inter-channel feature information, enabling the model to more accurately identify and understand the spatial relationship between different Holstein cows' positions, thereby improving the sensitivity to key areas and the ability to filter background interference. Secondly, the MLLAttention mechanism is introduced in the P3, P4, and P5 layers of the Neck part of the model to better cope with the challenges of Holstein cow behavior recognition caused by large-scale changes. In addition, we also innovatively improve the SPPF module to form the SPPF-GPE module, which optimizes small target recognition by combining global average pooling and global maximum pooling processing and enhances the model's ability to capture the key parts of Holstein cow behavior in the environment. Given the limitations of traditional IoU loss in cow behavior detection, we replace CIoU loss with Shape–IoU loss, focusing on the shape and scale features of the Bounding Box, thereby improving the matching degree between the Prediction Box and the Ground Truth Box. In order to verify the effectiveness of the proposed CAMLLA-YOLOv8n algorithm, we conducted experiments on a self-constructed dataset containing 23,073 Holstein cow behavior instances. The experimental results show that, compared with models such as YOLOv3-tiny, YOLOv5n, YOLOv5s, YOLOv7-tiny, YOLOv8n, and YOLOv8s, the improved CAMLLA-YOLOv8n model achieved increases in Precision of 8.79%, 7.16%, 6.06%, 2.86%, 2.18%, and 2.69%, respectively, when detecting the states of Holstein cows grazing, standing, lying, licking, estrus, fighting, and empty bedding. Finally, although the Params and FLOPs of the CAMLLA-YOLOv8n model increased slightly compared with the YOLOv8n model, it achieved significant improvements of 2.18%, 1.62%, 1.84%, and 1.77% in the four key performance indicators of Precision, Recall, mAP@0.5, and mAP@0.5:0.95, respectively. This model, named CAMLLA-YOLOv8n, effectively meets the need for the accurate and rapid identification of Holstein cow behavior in actual agricultural environments. This research is significant for improving the economic benefits of farms and promoting the transformation of animal husbandry towards digitalization and intelligence. [ABSTRACT FROM AUTHOR]

Simple Summary: Swine breeding is one of the key aspects of global livestock production, with positive growth in pigmeat production from 2017 to 2022 worldwide and in Russia. This is further demonstrated by an increasing total swine amount (from 2017 to 2022) in the world from 776.6 to 784.2 million heads (FAOSTAT, 2023) and in Russia from 23.1 to 27.6 million heads (ROSSTAT, 2023). Commercial breeds like Landrace, Duroc, and Large White are popular in the USA and Europe, while in Russia, three-breed hybrids (Large White × Landrace × Duroc) are commonly used for commercial farming, according to swine farm management. Based on well-known statistical approaches, we propose for the first time to use a set of such features as the "FFG-factor" ("fattening period × final live weight × gain"), in the equation model as a vector of fixed "phenotypic" effects. In addition, we will try to trace the relationship between the "FFG factor" and biochemical parameters (including amino acids), which is potentially useful for assessing the health status of swine. In modern animal husbandry, increasing attention is given to mathematical modeling and statistical methods, especially for evaluating commercial hybrids. Our aim was to evaluate the phenotypic and genetic variability of biochemical parameters of blood serum of the 56 hybrid boars (Large White × Landrace × Duroc) raised in feeding stations (Russia) through mathematical modeling. The particular variances and covariances of traits were calculated using the limited maximum likelihood model and the REMLF90 programs. A narrow range of variability was found for major biochemical parameters in relationship with the "FFG-factor" ("fattening period × final live weight × gain"), including the majority of the metabolites (p ≤ 0.05). The highest values of the genetic correlations were observed for the "total protein" parameter with albumins (0.78), globulins (0.94), creatinine (0.99), and enzymes: AST (0.98), ALT (0.80), etc. Phenotypic and genetic relationships showed fairly high correlation coefficients (0.5–0.8). It is important to emphasize that most of the studied amino acids (alanine, arginine, aspartic acid and asparagine, glutamic acid and glutamine, glycine, isoleucine, leucine, serine, threonine, tyrosine, valine) were significantly associated with the "FFG-factor" (p ≤ 0.05). The proposed approach provides reliable data on metabolite variability and correlations. [ABSTRACT FROM AUTHOR]

Simple Summary: The PRRS eradication program in Hungary, carried out from 2014 to 2022, focused on replacing entire herds and using high-performance breeds to improve pig farming. This approach reduced the sow population by over 26% while keeping nearly the same number of pigs for slaughter. As a result, there were significant reductions in harmful emissions, such as ammonia and greenhouse gases, and a decrease in feed and water usage. The results show that tailored strategies and advanced breeding can make pig farming more efficient and environmentally friendly. This highlights the importance of collaboration between scientists, policymakers, and industry to create sustainable livestock practices. The Porcine Reproductive and Respiratory Syndrome (PRRS) eradication program in Hungary, implemented between 2014 and 2022, utilized complete herd replacement and the introduction of high-performance breeds to enhance production efficiency and environmental sustainability in the swine sector. As a result, the sow population was reduced by 26.2% while maintaining nearly the same number of slaughter pigs. This led to significant reductions in ammonia emissions (−145,857 kg), slurry production (−153,879 m3), nitrogen emissions (−1,409,951 kg), and overall greenhouse gas emissions (91,768,362 kg CO2eq). Additionally, the feed and water consumption were substantially decreased by 53,237,805 kg and 292,978,094 L, respectively, further lowering the sector's environmental footprint. The study demonstrates the effectiveness of customized eradication strategies and advanced breeding practices in reducing the environmental impact of animal husbandry. These findings underscore the necessity for ongoing collaboration among scientists, policymakers, and industry stakeholders to develop and implement sustainable livestock production methods. The Hungarian experience provides valuable insights into how targeted interventions can simultaneously improve production outcomes and reduce the environmental burden in the swine industry. [ABSTRACT FROM AUTHOR]

Zearalenone (ZEA) is a mycotoxin produced by Fusarium spp. fungi and is widely found in moldy corn, wheat, barley, and other grains. ZEA is distributed to the whole body via blood circulation after metabolic transformation in animals. Through oxidative stress, immunosuppression, apoptosis, autophagy, and mitochondrial dysfunction, ZEA leads to hepatitis, neurodegenerative diseases, cancer, abortion, and stillbirth in female animals, and decreased sperm motility in male animals. In recent years, due to the influence of climate, storage facilities, and other factors, the problem of ZEA pollution in global food crops has become particularly prominent, resulting in serious problems for the animal husbandry and feed industries, and threatening human health. Resveratrol (RSV) is a natural product with therapeutic activities such as anti-inflammatory, antioxidant, and anticancer properties. RSV can alleviate ZEA-induced toxic effects by targeting signaling pathways such as NF-κB, Nrf2/Keap1, and PI3K/AKT/mTOR via attenuating oxidative damage, inflammatory response, and apoptosis, and regulating cellular autophagy. Therefore, this paper provides a review of the protective effect of RSV against ZEA-induced toxicity and its molecular mechanism, and discusses the safety and potential clinical applications of RSV in the search for natural mycotoxin detoxification agents. [ABSTRACT FROM AUTHOR]

As an important ecological barrier and a crucial base for animal husbandry in China, the forage–livestock balance in the Three-River-Source Region (TRSR) directly impacts both the degradation and recovery of grassland. This study examines the forage–livestock balance in the TRSR over the past 13 years (2010–2022) by calculating both the theoretical and actual livestock carrying capacity, thereby providing a scientific basis for regional animal husbandry policies. Firstly, the Carnegie–Ames–Stanford Approach (CASA) model was improved to fit the specific characteristics of alpine grassland ecosystem in the TRSR. This enhanced model was subsequently used to calculate the net primary productivity (NPP) of the grassland, from which the regional grassland yield and theoretical livestock carrying capacity were derived. Secondly, the actual livestock carrying capacity was calculated and spatialized based on the number of regional year-end livestock. Finally, the livestock carrying pressure index was determined using both the theoretical and actual livestock carrying capacity. The results revealed several key findings: (1) The average grassland NPP in the TRSR was 145.44 gC/m2, the average grassland yield was 922.7 kg/hm2, and the average theoretical livestock carrying capacity was 0.55 SU/hm2 from 2010 to 2022. Notably, all three metrics showed an increasing trend over the past 13 years, which indicates the rise in grassland vegetation activities. (2) The average actual livestock carrying capacity over the 13-year period was 0.46 SU/hm2, showing a decreasing trend on the whole. The spatial distribution displayed a pattern of higher capacity in the east and lower in the west. (3) Throughout the 13 years, the TRSR generally maintained a forage–livestock balance, with an average livestock carrying pressure index of 0.96 (insufficient). However, the trend of livestock carrying pressure is on the rise, with serious overloading observed in the western part of Qumalai County and the northern part of Tongde County. Slight overloading was also noted in Zhiduo, Maduo, and Zeku Counties. Notably, Tanggulashan Town, Zhiduo, Qumalai, and Maduo Counties showed significant increases in livestock carrying pressure, while Zaduo County and the eastern regions experienced significant decreases. In conclusion, this study not only provides feasible technical methods for assessing and managing the forage–livestock balance in the TRSR but also contributes significantly to the sustainable development of the region's grassland ecosystem and animal husbandry industry. [ABSTRACT FROM AUTHOR]

The Korean demilitarised zone (DMZ) has traditionally been understood as an alienated borderland consistent with ideas of no-man’s lands as abandoned and enclosed spaces. However, far from being an empty space or geopolitical vacuum, the withdrawal of human bodies and activity from the DMZ has (inadvertently) established an ecological haven where non-human life thrives. The near complete inaccessibility of the space poses significant obstacles to researching the species thriving within and, indeed, to how we envision, sense, and engage with the DMZ to begin with. Yet, the difficulties and challenges associated with researching such spaces also provide stimulating ways of thinking with and through the subfield of animal geographies. Drawing upon fieldwork experiences with birds at and along the DMZ, with a particular focus on the red-crowned crane (Grus japonensis), this paper explores how the subfield of animal geographies can itself become a means of exploring, interacting, and engaging with (de)limited spaces. In doing so, it considers how we might push animal geographies beyond its current limits whilst also expanding both the conceptual and methodological toolboxes through which we approach less accessible spaces of study. [ABSTRACT FROM AUTHOR]

Gene‐editing technology has become a transformative tool for the precise manipulation of biological genomes and holds great significance in the field of animal disease‐resistant breeding. Mastitis, a prevalent disease in animal husbandry, imposes a substantial economic burden on the global dairy industry. In this study, a regulatory sequence gene editing breeding strategy for the successful creation of a gene‐edited dairy (GED) goats with enhanced mastitis resistance using the ISDra2‐TnpB system and dairy goats as the model animal is proposed. This included the targeted integration of an innate inflammatory regulatory sequence (IRS) into the promoter region of the lysozyme (LYZ) gene. Upon Escherichia Coli (E. coli) mammary gland infection, GED goats exhibited increased LYZ expression, showing robust anti‐mastitis capabilities, mitigating PANoptosis activation, and alleviating blood‐milk‐barrier (BMB) damage. Notably, LYZ is highly expressed only in E. coli infection. This study marks the advent of anti‐mastitis gene‐edited animals with exogenous‐free gene expression and demonstrates the feasibility of the gene‐editing strategy proposed in this study. In addition, it provides a novel gene‐editing blueprint for developing disease‐resistant strains, focusing on disease specificity and biosafety while providing a research basis for the widespread application of the ISDra2‐TnpB system. [ABSTRACT FROM AUTHOR]

Urtica species is an angiosperm plant in the Urticaceae family. It serves as a traditional food and medicinal herb, possessing high nutritional value and various bioactive compounds, including polysaccharides, flavonoids, and polyphenolic compounds. In the realm of animal feeds, Urtica spp. can replace traditional protein feed sources and high-quality forage, thereby reducing feed costs. Moreover, Urtica spp. extract exhibits antioxidant and anti-inflammatory properties and boosts immune regulation. Hence, Urtica spp. plays a beneficial role in enhancing animal performance and improving their immune function. Recently, with the development of sustainable farming techniques, the demand for feed additives that prioritize safety, the absence of drug residues, and environmental friendliness have grown. Consequently, Urtica spp. and its extracts have received widespread attention in animal production. This article summarizes the biological functions of Urtica spp. and its application in animal husbandry while also outlining future prospects for its application. It will provide a scientific basis and reference point for the application of Urtica spp. in animal health and breeding. [ABSTRACT FROM AUTHOR]

Background: Ticks carry and transmit a wide range of pathogens (bacteria, viruses, and protozoa) that pose significant threats to human and animal health worldwide. Only few meta-analyses have been conducted on the distribution of ticks and tick-borne spotted fever group rickettsia (SFGR). Therefore, this study aims to examine the tick species and SFGR positivity in China in order to provide support for further research and improvements in the prevention and control of tick-borne diseases. Methodology: This systematic review was performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Relevant Chinese and English studies were retrieved from PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI), VIP database, Chinese Biomedical literature database (CBM) and Wanfang database from inception to January 9, 2023. Pooled SFGR positive rate was meta-analyzed using a random effects model and heterogeneity was assessed by the I2 index. Publication bias was also evaluated by funnel plot and Egger's test. The meta-analysis was performed on R studio 4.0.4. Principal findings: Meta-analysis of 57 studies published between 2000 and 2022 involving 39,380 ticks revealed a pooled SFGR positive rate of 21.4% (Q = 6423.74, I2 = 99%, Q-p<0.001, 95% CI: 15.0–29.6). Most studies of tick-borne SFGR infection rate were conducted in forest areas and developed animal husbandry areas in the northern region. There were slightly more tick species in the southern region, but the differences in tick species (Feeding tick 31.5%, 95%CI: 15.7–53.2, Questing tick 11.5%, 95%CI: 4.4–26.7, Q = 3.29, Q-p = 0.19) between areas (Northern area 20.4%, 95%CI: 14.1–28.7, Southern area 25.5%, 95%CI: 15.0–29.6, Q = 0.21, Q-p = 0.64) were not statistically significant. The most common tick species were Dermacentor silvarum (13%), Ixodes persulcatus (11%) and Haemaphysalis Iongicornis (10%), and the most prevalent SFGR species were Rickettsia raoultii (20%), Rickettsia heilongjiangiensis (11%), and some uncultured species (18%). Conclusions: This study examined the distribution of tick-borne SFGR in China. Our findings revealed that the main tick species were D. silvarum, I. persulcatus and H. iongicornis, and the common SFGR species were R. raoultii, R. heilongjiangiensis, and some uncultured species. Further studies are warranted to identify the potential vectors of SFGR and to better understand the epidemiology and pathogenesis of tick-borne diseases in China. Author summary: Tick-borne rickettsial diseases caused by spotted fever group rickettsia (SFGR) are natural zoonotic diseases that seriously threaten human health worldwide, which mainly transmitted to humans and animals by tick bites. This is the first study systematically examined the distribution of tick-borne spotted fever group rickettsia (SFGR) in China. To analyze the positive rates of tick-borne SFGR in China, we conducted a meta-analysis of 57 studies reporting 39,380 ticks that were published in Chinese and English between 2000 and 2022. Setting the Qinling Mountains-Huaihe River Line as the boundary between northern and southern China, the main tick species in China are D. silvarum, I. persulcatus and H. Iongicornis, and the common SFGR species they carry are R. raoultii, R. heilongjiangiensis, and some unclassified species. The findings highlight awareness of future tick-borne disease prevention and control strategies, such as vaccination programs and public awareness campaigns. [ABSTRACT FROM AUTHOR]

Intrauterine growth restriction (IUGR) impairs neonatal weight and causes multiple organ dysplasia. IUGR not only threatens human health but is also a significant constraint to the development of animal husbandry. However, the molecular mechanism underlying IUGR remains to be further elucidated. tRNA-derived small RNA (tsRNAs) is a regulative non-coding RNA, which has recently been reported to correlate with the onset and progression of several diseases. In this study, we investigated the tsRNAs expression profiles of IUGR pigs. A tsRNAs dataset for multiple organs in normal and IUGR pigs was generated, including muscle, liver, spleen and intestine. We further analyzed the characteristics of tsRNAs in different organs of pigs, and KEGG pathway analysis was performed to investigate possible pathways involved. This dataset will provide valuable information for further exploring the molecular mechanism of IUGR formation. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

The study was conducted at Dept. of Animal Husbandry and Dairy Science, Dr. BSKKV, Dapoli, Ratnagiri, Maharashtra, India during August 2021 to May 2022 to evaluate the suitability of Jackfruit pulp as flavouring agent in developing flavoured Chhana Burfi and its production cost. Basically, cow milk required for preparation of Chhana, citric acid used for coagulation of milk, sugar and jackfruit pulp etc. was required to conduct this research. The curd mass obtained when milk is coagulated with the organic acids such as citric acid at higher temperature and after subsequent drainage of whey, mass of curd obtained is called chhana. Chhana was used as base material for preparation of chhana burfi. The Chhana Burfi was prepared from cow milk by incorporating jackfruit pulp @ 10% (F1), 15% (F2), and 20% (F3) and two sugar level i.e. 15% (S1) and 18% (S2) on the basis of weight of Chhana. All treatment is analyzed for sensory characteristic i.e. colour and appearance, body and texture, flavour and overall acceptability by using 9-point Hedonic scale. Present study investigated that jackfruit pulp could be successfully utilized for preparation of flavoured chhana burfi. The most acceptable quality flavour Chhana Burfi could be prepared by using 15% jackfruit pulp and 18% sugar. Prepared delicious milk product i.e. Jackfruit flavour Chhana Burfi rich taste and flavour along with nutritional value. The production cost of Jackfruit flavour Chhana Burfi (most acceptable level i.e.S2F2) was Rs. 355.8/- per kg. [ABSTRACT FROM AUTHOR]

Background: In order to alleviate the transport stress reaction of animals, three kinds of chinese herbs with sedative and tranquilizing properties were extracted with ethanol and proportionally composed into a chinese herbal compound prescription. In addition, isorhynchophylline in leaves of Uncaria rhynchophylla was isolated and purified for use. Methods: The enzyme-linked Immunosorbent assay (ELISA) was used to measure the changes in serum stress indicators and hormone levels, three classification blood cell counter and automatic biochemistry analyser was used to measure blood indicators and other biochemical indicators of each group mice before and after transport stress. Result: The results showed that the blood physiological indexes such as blood glucose (GLU) level, biochemical indexes such as lactate dehydrogenase (LDH) and hormone levels such as adrocorticotropic hormone (ACTH) and other stress indexes were significantly higher in mice after transport than before. The compound agents and isorhynchophylline played a role in regulating the stress indices of mice after the simulating transport processs and have the effect of significantly alleviating the transport stress response in mice, with a view to provide reference for alleviating the adverse effects of transport stress on the animal husbandry industry. [ABSTRACT FROM AUTHOR]

Background: Diarrheal disease remains one of the leading causes of deaths in children below five years of age. The risk factors associated with diarrhea include poor hygiene practices such as open defecation and consumption of contaminated water and food. However, exposure of domestic animal is equally a potential risk factor for diarrhea disease in children. Methodology: We characterized animal-related exposures in a subset of households (n=73) by collecting faecal samples from 150 children with diarrhoea and 100 food animals (30 cattle, 30 chicken, 25 goats and 15 pigs). Escherichia coli was isolated from the faecal samples and biochemically confirmed using conventional microbiological techniques. The deoxyribonucleic acid (DNA) of each E. coli isolate was extracted and amplified by multiplex PCR to identify three diarrheagenic E. coli pathotypes. The amplified products were sequenced, and genetic relatedness of the isolates was determined through phylogenetic analysis. Results: We isolated and identified a total of 32 (12.8%) diarrheagenic E. coli (DEC) from the 250 faecal samples, 26 (17.3%) of which were from the 150 children with diarrhea while 6 (6.0%) were from the 100 food animals (OR=3.285, 95% CI=1.299-8.305, p=0.011). Three DEC pathotypes were confirmed by PCR in 16 DEC strains, with 9 enteroaggregative E. coli (EAEC), 2 enterotoxigenic E. coli (ETEC), 2 enteropathogenic E. coli (EPEC), 1 EAEC/ETEC, 1 EAEC/EPEC and 1 ETEC/EPEC mixed strains. The phylogenetic analysis showed that 6 DEC isolates had genetic similarity ranging between 31% to 90%. Isolates S04 originating from animal and S02 from a child with diarrhoea of the same household were closely related, with 55% similarity. Moreover, isolate S05 from animal origin and S06 of diarrheic child origin were closely related, with similarity degree as high as 82% even though they were not paired. Twenty four of the 26 (92.3%) DEC isolates from diarrhoeic children showed multidrug resistance (MDR) pattern to antibiotics but none of the 6 isolates from food animals was multi-drug resistant. Conclusion: The high degree of genetic relationship between DEC isolate S04 and S02 from animal and human origin indicated the high potency of zoonotic transmission. Further studies investigating animal husbandry practices and zoonotic transmission of DEC are needed. [ABSTRACT FROM AUTHOR]

The article in the Systematic & Applied Acarology journal discusses the occurrence of Haemaphysalis warburtoni ticks in the Western Ghats region of Tamil Nadu, India. These ticks are significant in transmitting Kyasanur Forest Disease in India. The study reports the first observation of Ha. warburtoni in South India, particularly in the hills of Dindigul district. The research highlights the importance of studying tick species diversity in different climatic regions to understand the evolution of the Haemaphysalis genus. [Extracted from the article]

Simple Summary: In this study, we developed a computational pipeline named MeHA to identify candidate genes related to mental health in animals within intensive farming environments, even in the absence of phenotype data. By applying MeHA to pigs, we identified 109 candidate genes associated with memory, cognition, and neural development that also influence traits such as meat quality. Our findings underscore the significance of genetic research in elucidating animal behavior, enhancing farming practices, and illuminating mental well-being in both porcine species and humans. This work illustrates the critical connection between genetics, behavior, and productivity in animal husbandry. Intensively farmed animals such as pigs inevitably experience a certain degree of psychological stress, which leads to a reduction in production performance. Mental health traits are currently difficult to measure, resulting in a gap in understanding their genetic basis. To address this challenge, we propose a computational framework called mental health of animals (MeHA), capable of revealing genes related to animal mental health traits. Using MeHA, we identified 109 candidate genes associated with pig mental health and discovered their intricate connections with critical functions, such as memory, cognition, and neural development, which are essential components of mental health and cognitive performance. Importantly, our findings provide evidence of the potential impact of these genes on economically important traits, including meat quality and piglet survival. This research underscores the importance of genetic studies in enhancing our understanding of animal behavior and cognition, as well as promoting agricultural practices. By applying our approach to study the genetic basis of mental health in pigs as a case, we confirmed that our framework is an effective way to reveal genetic factors affecting animal mental health traits, which contributes to animal welfare and has potential implications for understanding human mental disorders. [ABSTRACT FROM AUTHOR]

Direct-acting anti-infective drugs target pathogen-coded gene products and are a highly successful therapeutic paradigm. However, they generally target a single pathogen or family of pathogens, and the targeted organisms can readily evolve resistance. Host-targeted agents can overcome these limitations. One family of host-targeted, anti-infective agents modulate human sirtuin 2 (SIRT2) enzyme activity. SIRT2 is one of seven human sirtuins, a family of NAD+-dependent protein deacylases. It is the only sirtuin that is found predominantly in the cytoplasm. Multiple, structurally distinct SIRT2-targeted, small molecules have been shown to inhibit the replication of both RNA and DNA viruses, as well as intracellular bacterial pathogens, in cell culture and in animal models of disease. Biochemical and X-ray structural studies indicate that most, and probably all, of these compounds act as allosteric modulators. These compounds appear to impact the replication cycles of intracellular pathogens at multiple levels to antagonize their replication and spread. Here, we review SIRT2 modulators reported to exhibit anti-infective activity, exploring their pharmacological action as anti-infectives and identifying questions in need of additional study as this family of anti-infective agents advances to the clinic. [ABSTRACT FROM AUTHOR]

Antibiotics are frequently used as growth boosters in animal husbandry. Tetracyclines (TCNs) are among the most widely used antibiotics compared to others, leaving traces in animal‐based foodstuffs like milk and meat. Thus, monitoring of TCNs is paramount, especially in the feedstuff. In the present study, a green method is developed to synthesize magnetic Ag/GO‐Fe3O4 nanocomposites using Azadirachta indica leaf extract. The synthesized adsorbent (Ag/GO‐Fe3O4) was analyzed for the residual extraction of oxytetracycline (OTC) and chlortetracycline (CTC) from the fresh milk samples through the magnetic solid‐phase extraction principle. The extraction procedure involved the deproteinization of milk, spiking with antibiotics, followed by magnetic solid‐phase extraction and quantification of TCNs by HPLC with a UV detector. Different factors that affected the adsorption capacity of the adsorbent for the TCNs like pH, temperature, amount of nanocomposite, and time were studied. The inter‐day and intra‐day precision were calculated for OTC (4% and 6%) and CTC (3% and 4%), respectively. The limit of detection and quantification for OTC was 0.5 and 1.5 μgL−1 and for CTC was 0.2 and 0.6 μgL−1 respectively while the percentage extraction was 94%–96%. [ABSTRACT FROM AUTHOR]

Simple Summary: Cattle behavior recognition is an important field in animal husbandry. It can be used to understand the health status, emotions and needs of cattle. In this paper, an accurate and lightweight behavioral multi-detection model is proposed, which is adapted to real weather conditions. An innovation in the head, neck, detection head and loss function of the model is proposed, which improves the accuracy of behavior detection in cattle, and greatly reduces the number of parameters and calculations. It not only has high accuracy in recognition tasks, but is also very friendly to edge devices. This gives breeders insight into cattle behavior, helping them to better manage their herds, improve breeding efficiency and ensure the health and welfare of their cattle. In modern animal husbandry, intelligent digital farming has become the key to improve production efficiency. This paper introduces a model based on improved YOLOv8, Cattle Behavior Recognition-YOLO (CBR-YOLO), which aims to accurately identify the behavior of cattle. We not only generate a variety of weather conditions, but also introduce multi-target detection technology to achieve comprehensive monitoring of cattle and their status. We introduce Inner-MPDIoU Loss and we have innovatively designed the Multi-Convolutional Focused Pyramid module to explore and learn in depth the detailed features of cattle in different states. Meanwhile, the Lightweight Multi-Scale Feature Fusion Detection Head module is proposed to take advantage of deep convolution, achieving a lightweight network architecture and effectively reducing redundant information. Experimental results prove that our method achieves an average accuracy of 90.2% with a reduction of 3.9 G floating-point numbers, an increase of 7.4%, significantly better than 12 kinds of SOTA object detection models. By deploying our approach on monitoring computers on farms, we expect to advance the development of automated cattle monitoring systems to improve animal welfare and farm management. [ABSTRACT FROM AUTHOR]

As one of the most important economic traits for domestic animal husbandry, skeletal muscle is regulated by an intricate molecular network. Adenosine deaminase acting on RNA (ADAR1) involves various physiological processes and diseases, such as innate immunity and the development of lung adenocarcinoma, breast cancer, gastric cancer, etc. However, its role in skeletal muscle growth requires further clarification. Here, we explored the functions of ADAR1 in the myogenic process of goat skeletal muscle satellite cells (MuSCs). The ADAR1 transcripts were noticeably enriched in goat visceral tissues compared to skeletal muscle. Additionally, its levels in slow oxidative muscles like the psoas major and minor muscles were higher than in the fast oxidative glycolytic and fast glycolytic muscles. Among the two common isoforms from ADAR1, p110 is more abundant than p150. Moreover, overexpressing ADAR1 enhanced the proliferation and myogenic differentiation of MuSCs. The mRNA-seq performed on MuSCs' knockdown of ADAR1 obtained 146 differentially expressed genes (DEGs), 87 upregulated and 59 downregulated. These DEGs were concentrated in muscle development and process pathways, such as the MAPK and cAMP signaling pathways. Furthermore, many DEGs as the key nodes defined by protein–protein interaction networks (PPI), including STAT3, MYH3/8, TGFβ2, and ACTN4, were closely related to the myogenic process. Finally, RNA immunoprecipitation combined with qPCR (RIP-qPCR) showed that ADAR1 binds to PAX7 and MyoD mRNA. This study indicates that ADAR1 promotes the myogenic development of goat MuSCs, which provides a useful scientific reference for further exploring the ADAR1-related regulatory networks underlying mammal skeletal muscle growth. [ABSTRACT FROM AUTHOR]

Brucellosis is a zoonotic infectious disease that has long endangered the development of animal husbandry and human health. Currently, vaccination stands as the most efficacious method for preventing and managing brucellosis. Alum, as the most commonly used adjuvant for the brucellosis vaccine, has obvious disadvantages, such as the formation of granulomas and its non-degradability. Therefore, the aims of this study were to prepare an absorbable, injectable, and biocompatible hydroxypropyl chitin (HPCT) thermosensitive hydrogel and to evaluate its immunization efficacy as an adjuvant for Brucella antigens. Specifically, etherification modification of marine natural polysaccharide chitin was carried out to obtain a hydroxypropyl chitin. Rheological studies demonstrated the reversible temperature sensitivity of HPCT hydrogel. Notably, 5 mg/mL of bovine serum albumin can be loaded in HPCT hydrogels and released continuously for more than one week. Furthermore, the L929 cytotoxicity test and in vivo degradation test in rats proved that an HPCT hydrogel had good cytocompatibility and histocompatibility and can be degraded and absorbed in vivo. In mouse functional experiments, as adjuvants for Brucella antigens, an HPCT hydrogel showed better specific antibody expression levels and cytokine (Interleukin-4, Interferon-γ) expression levels than alum. Thus, we believe that HPCT hydrogels hold much promise in the development of adjuvants. [ABSTRACT FROM AUTHOR]

Tetracyclines (TCs) rank second globally in the use of animal infection therapy and animal husbandry as growth promoters among all antibiotics. However, large amounts of TCs residue in food products and more than 75% of TCs are excreted into the environment, causing adverse effects on the ecological system and human health. It has been challenging to simultaneously realize low-cost, rapid, and highly selective detection of TCs. Here, inspired by the fluorogenic reactions between resorcinol and catecholamines, we find the fluorescence quenching ability of tetracycline (TC) and firstly propose a fluorescent "turn-off" detection of TC using dopamine and 4-fluororesorcinol. The optimal reaction condition for the fluorescent assay is investigated and the optimized probe showed a good limit of detection (LOD of 1.7 µM) and a wide linear range (10 µM to 350 µM). Moreover, this fluorescent assay proved to be an effective tool for detecting TC in river, Sprite, and beer samples, which represent the aquatic environments and food and may contain tetracyclines residues. Finally, the high selectivity of the method for TC has been confirmed by eliminating the interference from common substances. The proposed strategy provides a high-efficiency and selective solution for the detection of TCs in environment and food and the application fields of this fluorescent assay could be further expanded in the future. [ABSTRACT FROM AUTHOR]

Antibiotics are extensively used in human medicine, aquaculture, and animal husbandry, leading to the release of antimicrobial resistance into the environment. This contributes to the rapid spread of antibiotic-resistant genes (ARGs), posing a significant threat to human health and aquatic ecosystems. Conventional wastewater treatment methods often fail to eliminate ARGs, prompting the adoption of advanced oxidation processes (AOPs) to address this growing risk. The study investigates the efficacy of visible light-driven photocatalytic systems utilizing two catalyst types (TiO2-Pd/Cu and g-C3N4-Pd/Cu), with a particular emphasis on their effectiveness in eliminating blaTEM, ermB, qnrS, tetM. intl1, 16 S rDNA and 23 S rDNA through photocatalytic ozonation and peroxone processes. Incorporating O3 into photocatalytic processes significantly enhances target removal efficiency, with the photocatalyst-assisted peroxone process emerging as the most effective AOP. The reemergence of targeted contaminants following treatment highlights the pivotal importance of AOPs and the meticulous selection of catalysts in ensuring sustained treatment efficacy. Furthermore, Polymerase Chain Reaction-Denaturing Gradient Gel Electrophoresis (PCR-DGGE) analysis reveals challenges in eradicating GC-rich bacteria with TiO2 and g-C3N4 processes, while slight differences in Cu/Pd loadings suggest g-C3N4-based ozonation improved antibacterial effectiveness. Terminal Restriction Fragment Length Polymorphism analysis highlights the efficacy of the photocatalyst-assisted peroxone process in treating diverse samples. [ABSTRACT FROM AUTHOR]

The present study aims to investigate the anti-inflammatory potential of the leaf hydroalcoholic extract of Piper betleoides C. DC., also known as "Jangli Paan" in Northeast India, using lipopolysaccharide (LPS)-treated both cell culture (RAW264.7, macrophage cells) and animal (albino rat) model of inflammation. Treatment with leaf hydroalcoholic extract of Piper betleoides (PBtE) dose-dependently (5, 10, and 20 µg/mL) decreased the secretion of pro-inflammatory (TNF-α, IL-6, and MCP-1) and increased anti-inflammatory (IL-4 and IL-10) cytokines in LPS-treated macrophages. Similarly, treatment with PBtE also prevented the alternation in mRNA expression of inflammatory markers (TNF-α, CCL-2, IL-6, and IL-10) in LPS-treated macrophages. Dose-dependent supplementation with PBtE further reduced the production of intracellular ROS and increased the phagocytosis efficacies in LPS-treated cells. Further in vivo studies demonstrated that treatment with PBtE dose-dependently (50, 100, and 200 mg/kg body weight) prevented the dysregulation of the secretion of inflammatory cytokines (TNF-α, IL-4, IL-6, and IL-10) and reduced the circulatory levels of prostaglandin (PGE2) and nitric oxide products (nitrite) in LPS-treated animals. In addition, alternation of blood cell profiling and the liver as well as kidney dysfunctions were also prevented by the treatment with PBtE in LPS-treated rats. The anti-inflammatory potential of PBtE was comparable to those seen in sodium diclofenac (positive control) treated group. LC–MS analyses showed piperine, piperlongumine, piperolactam-A, and dehydropipernonaline and GC–MS analyses demonstrated phytol, caryophyllene, and falcarinol as the phytochemicals present in Piper betleoides, which might play an important role in preventing inflammation and associated pathophysiology. Different treatments didn't cause any toxicity in cell culture and animal models. This study for the first time demonstrated the promising anti-inflammatory potential of the leaf hydroalcoholic extract of Piper betleoides. [ABSTRACT FROM AUTHOR]

Antimicrobial peptides (AMPs) belong to a group of biomolecules found in various life forms and form an important part of their defense mechanisms. They are effective against bacteria, viruses, fungi, and other parasites and have been categorized into different classes based on their structure and mode of action. Given the current global threat of increasing microbial resistance towards the diverse range of antibiotics, these AMPs represent an alternative approach to treating various infectious diseases and other bodily disorders. Their host specificity and biocompatibility with negligible resistance to various pathogens make them a much-researched substance in modern medical sciences. From screening of various natural resources to in silico design of novel AMPs, numerous AMPs have been discovered, some of which are used for commercial applications. In addition, specialized databases have been established to maintain information on these AMPs, and their fusion with other innovations, such as nanotechnology, has been accomplished. AMPs are also used in the food industry for packaging, and their application in other areas can be further explored and optimized for therapeutic purposes. • Antimicrobial peptides (AMPs) are part of the innate immunity of an organism against the pathogens. • They exhibit efficacy against wide range of microbes such as bacteria, fungi, viruses, & parasites. • Owing to their diverse mode of action, resistance development against AMPs is negligible. • AMPs show potential medical applications in therapeutic & developing novel antimicrobial drugs. • They are also explored for other industrial applications in food, agriculture, animal husbandry. [ABSTRACT FROM AUTHOR]

[Objective] The aims of this study are to investigate the evolution of ecosystem service value (ESV) and its influencing factors urbanization in the Karst city cluster and to provide a scientific basis for regional eco-environmental protection ecological function zoning, and ecological compensation decision- making. [Methods] Based on the land use data of urban agglomeration of central Guizhou Province from 2000 to 2020, 16 drivers were selected from natural and socio-economic perspectives, and a Markov-FLUS model was constructed to simulate the land use pattern in 2030 under the scenarios of natural development and ecological constraints. Then, the modified ESV coefficients were used to assess the spatial and temporal evolution of ESV and analyze the factors influencing the spatial differentiation of ESV using Geo detector. [Results] (1) The artificial surface seriously encroached on cropland (53%), forest land (12%), and grassland (10%) from 2000 to 2020. Under the ecological constraint scenario, significant nature reserves were effectively protected, and the artificial surface increased by 55 500 hectares, with a slower growth rate. (2) The ESV as a whole showed a trend of rising and then falling, with regulating services (71.08%)> supporting services (23.59%) cultural services (4.51%) supplying services (0.82%). The value of ESV in 2030 under the natural development scenario was 59.211 billion yuan, and that was 58.906 billion yuan under the ecological constraint scenario. (3) The explanatory power of ESV spatial differentiation factors followed the order: area of districts and counties (0.79)>value-added of agriculture, forestry, animal husbandry and fishery (0,51)> value-added of primary industry (0.50)>GDP (0.41)>GDP per capita (0.30)>area of built- up area (0.09)>resident population (0.04). The area of districts and counties, value-added of agriculture, forestry, animal husbandry and fishery, and value-added of primary industry were significantly and positively correlated with ESV, and GDP was significantly and positively correlated with ESV. The area of districts and counties, value-added of agriculture, forestry, animal husbandry and fishery, and value-added of primary industry were significantly positively correlated with ESV, and GDP was significantly negatively correlated with ESV. [Conclusion Regional ecosystem services are mainly regulating services, and water and woodland ecosystems have a more significant impact on the overall ESV, which is the center of gravity of regional environmental protection and ecological construction. [ABSTRACT FROM AUTHOR]

Sugar beets account for 30% of global sugar production each year, and their byproducts are an important source of bioethanol and animal feed. Sugar beet is an important cash crop in Inner Mongolia, China. To achieve high yields and sugar content, it is essential to supply nitrogen fertilizer in accordance with the growth characteristics of sugar beet, thereby enhancing the efficiency of nitrogen fertilizer utilization. A two-year experiment was carried out in the experimental field of the Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences. The impact of varying ratios of nitrogen-based fertilizer to topdressing on nitrate nitrogen and ammonium nitrogen levels in the 20–60 cm soil layer, as well as the activities of protease, urease, catalase, and sucrose in the 20–40 cm soil layer were investigated during the rapid leaf growth period and root and sugar growth period. Results indicated that different ratios of nitrogen-based fertilizer to topdressing significantly influenced the levels of nitrate nitrogen and ammonium nitrogen, and the activities of protease and urease in the 0–20 cm soil layer, with these effects diminishing as soil depth increased. The activities of catalase and sucrose were minimally impacted. Nitrogen was applied at 150 kg/ha during the growth period of sugar beet, according to the growth characteristics of sugar beet to maximize nitrogen utilization efficiency. Topdressing was completed with irrigation at the rapid growth stage. The nitrogen-based fertilizer to topdressing ratio of 6:4 resulted in optimal crop yield and sugar yield of sugar beet under shallow drip irrigation. Additionally, the activities of protease and urease in different soil treatments were significantly different, and the activities of protease and urease in the 0–40 cm soil layer were identified as useful soil physiological indicators for nitrogen utilization in sugar beet. [ABSTRACT FROM AUTHOR]

This research aimed to apply a risk management methodology to multiple surface water sources in urban and rural areas of a developing country. The applied methodology enabled the identification of hazards, classification, and the prioritization of risks at 21 collection points in the rural area and 9 collection points in the urban area. Both rural and urban areas exhibited common events with a high-risk level, such as human access (100% in urban areas and 90% in rural areas), climatic events, and inadequate collection structures (100% of points in both urban and rural areas). However, rural areas presented specific risks associated with animal husbandry (70% of points with high risk), a lack of monitoring, limited infrastructure (30% of points with high risk), and wildlife, including birds and worms (50% of points with high risk in rural areas and 10% in urban points). On the other hand, urban areas faced challenges related to vandalism and sabotage (high risk in 40% of points). Understanding these similarities and differences permits integrated risk management among the various stakeholders who can contribute to risk management within a watershed. [ABSTRACT FROM AUTHOR]

Oats (Avena sativa L.) are rich in nutrients and bioactive compounds, serving as a roughage source for ruminants. This study investigated the impact of lactic acid bacteria (LAB), cellulase (M), and their combinations (LM) on the fermentation quality and metabolic compounds of oat silage. Results demonstrated that all additive treatments significantly increased lactic acid content compared to the control group (P < 0.05), with the lactic acid bacteria treatment group exhibiting the lowest pH value (P < 0.05). Analysis of antioxidant activity and metabolites in oat silage over 60 days revealed 374 differential metabolites with 113 up-regulated and 261 down-regulated, and all treatment groups showing higher antioxidant activity than raw oat materials (P < 0.05). Although no significant differences in antioxidant activity were observed among the various treatment groups in this experiment, notable changes in metabolic pathways were identified. Furthermore, two metabolites (carboxylic acids and derivatives and benzene and substituted derivatives) were identified through non-targeted metabolomics technology, both of which are strongly associated with the antioxidant activity of oat silage. This finding provides a theoretical basis for the efficient use of oat silage in animal husbandry. [ABSTRACT FROM AUTHOR]

Background/Objectives: The emergence of the mobilized colistin resistance 1 (mcr-1) gene, which causes colistin resistance, is a serious concern in animal husbandry, particularly in pigs. Although antibiotic regulations in many countries have prohibited the use of colistin in livestock, the persistence and dissemination of this plasmid-mediated gene require effective and rapid monitoring. Therefore, a rapid, sensitive, and specific method combining recombinase polymerase amplification (RPA) with an in-house lateral flow assay (LFA) for the mcr-1 gene detection was developed. Methods: The colistin agar test and broth microdilution were employed to screen 152 E. coli isolates from pig fecal samples of five antibiotic-used farms. The established RPA-in-house LFA was validated with PCR for mcr-1 gene detection. Results: The RPA-in-house LFA was completed within 35 min (20 min of amplification and 5–15 min on LFA detection) at 37 °C. The sensitivity, specificity, and accuracy were entirely 100% in concordance with PCR results. No cross-reactivity was detected with seven common pathogenic bacteria or other mcr gene variants. Conclusions: Therefore, the in-house RPA-LFA serves as a point-of-care testing tool that is rapid, simple, and portable, facilitating effective surveillance of colistin resistance in both veterinary and clinical settings, thereby enhancing health outcomes. [ABSTRACT FROM AUTHOR]

This paper attempts to establish the accurate and timely forecasting model for the total output value of agriculture, forestry, animal husbandry, and fishery (TOVAFAF) in various provinces of China using NPP-VIIRS nighttime light (NTL) remote sensing data and machine learning algorithms. It can provide important data references for timely assessment of agricultural economic development level and policy adjustment. Firstly, multiple NTL indices for provincial-level administrative regions of China were constructed based on NTL images from 2013 to 2023 and various statistics. The results of correlation analysis and significance test show that the constructed total nighttime light index (TNLI), luminous pixel quantity index (LPQI), luminous pixel ratio index (LPRI), and nighttime light squared deviation sum index (NLSDSI) are highly correlated with the TOVAFAF. Subsequently, using the relevant data from 2013 to 2020 as the training set, the four NTL indices were separately taken as single independent variable to establish the linear model, exponential model, logarithmic model, power exponential model, and polynomial model. And all the four NTL indices were taken as the input features together to establish the multiple linear regression (MLR), extreme learning machine (ELM), and particle swarm optimization-ELM (PSO-ELM) models. The relevant data from 2021 to 2022 were taken as the validation set for the adjustment and optimization of the model weight parameters and the preliminary evaluation of the modeling effect. Finally, the established models were employed to forecast the TOVAFAF in 2023. The experimental results show that the ELM and PSO-ELM models can better explore and characterize the potential nonlinear relationship between NTL data and the TOVAFAF than all the models established based on single NTL index and the MLR model, and the PSO-ELM model achieves the best forecasting effect in 2023 with the MRE value for 32.20% and the R2 values of the linear relationship between the actual values and the forecasting values for 0.6460. [ABSTRACT FROM AUTHOR]

Antibiotic residues are widely recognized as major pollutants in the aquatic environment on a global scale. As a significant class of pharmaceutically active compounds (PhACs), antibiotics are extensively consumed worldwide. The primary sources of these residues include hospitals, municipal sewage, household disposal, and manures from animal husbandry. These residues are frequently detected in surface and drinking waters, sewage effluents, soils, sediments, and various plant species in countries such as China, Japan, South Korea, Europe, the USA, Canada, and India. Antibiotics are used medicinally in both humans and animals, with a substantial portion excreted into the environment as metabolites in feces and urine. With the advancement of sensitive and quantitative analytical techniques, antibiotics are consistently reported in environmental matrices at concentrations ranging from nanograms per liter (ng/L) to milligrams per liter (mg/L). Agricultural soils, in particular, serve as a significant reservoir for antibiotic residues due to their strong particle adsorption capacities. Plants grown in soils irrigated with PhAC-contaminated water can uptake and accumulate these pharmaceuticals in various tissues, such as roots, leaves, and fruits, raising serious concerns regarding their consumption by humans and animals. There is an increasing need for research to understand the potential human health risks associated with the accumulation of antibiotics in the food chain. The present reviews aims to shed light on the rising environmental pharmaceutical contamination concerns, their sources in the environment, and the potential health risks as well as remediation effort. To discuss the main knowledge gaps and the future research that should be prioritized to achieve the risk assessment. We examined and summarized the available data and information on the antibiotic resistance associated with antibiotic residues in the environment. As studies have indicated that vegetables can absorb, transport, and accumulate antibiotics in edible parts when irrigated with wastewater that is either inadequately treated or untreated. These residues and their metabolites can enter the food chain, with their persistence, bioaccumulation, and toxicity contributing to drug resistance and adverse health effects in living organisms. [ABSTRACT FROM AUTHOR]

Outbreaks of furunculosis cause significant losses in salmonid aquaculture worldwide. With a recent rise in antimicrobial resistance, regulatory measures to minimize the use of antibiotics in animal husbandry, including aquaculture, have increased scrutiny and availability of veterinary medical products to control this disease in production facilities. In such a regulatory environment, the utility of autogenous vaccines to assist with disease prevention and control as a veterinary-guided prophylactic measure is of high interest to the producers and veterinary services alike. However, evolving concepts of epidemiological units and epidemiological links need to be considered during approval and acceptance procedures for the application of autogenous vaccines in multiple aquaculture facilities. Here, we present the results of solid-state nanopore sequencing (Oxford Nanopore Technologies, ONT) performed on 54 isolates of Aeromonas salmonicida ssp. salmonicida sampled during clinical outbreaks of furunculosis in different aquaculture facilities from Bavaria, Germany, from 2017 to 2020. All of the performed analyses (phylogeny, single nucleotide polymorphism and 3D protein modeling for major immunogenic proteins) support a high probability that all studied isolates belong to the same epidemiological unit. Simultaneously, we describe a cost/effective method of whole genome analysis with the usage of ONT as a viable strategy to study outbreaks of other pathogens in the field of aquatic veterinary medicine for the purpose of developing the best autogenous vaccine candidates applicable to multiple aquaculture establishments. [ABSTRACT FROM AUTHOR]

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Dairy farming is one of the most important sources of greenhouse gas (GHG) emissions in the livestock sector. In order to identify the key emission links and the best emission-reduction strategies for combined dairy farms, this study selected a typical large-scale combined dairy farm in northeast China, constructed a carbon emission model based on the lifecycle assessment concept, and set up different emission reduction scenarios to explore the zero-carbon pathway for combined dairy farms. The results showed that: (1) enteric fermentation and manure management of cows are important sources of carbon emissions from the seeding-integrated dairy farms, accounting for 38.2% and 29.4% of the total, respectively; (2) the seeding-integrated system showed a 10.6% reduction in carbon footprint compared with the non-seeding-integrated system; and (3) scenarios 1–4 reduced carbon emissions by 9%, 20%, 42%, and 61% compared with the baseline scenario, respectively. Therefore, the integrated-farming model is important for the green development of animal husbandry, and as the "net-zero" goal cannot be achieved at present, integrated-farming dairy farms have the potential for further emission reduction. The results of this study provide a theoretical basis for low-carbon milk production. [ABSTRACT FROM AUTHOR]

Soil compaction in alfalfa fields has become increasingly severe due to the mechanization of animal husbandry and the increased use of heavy agricultural machinery. Perennial alfalfa land undergoes mechanical compaction several times during the planting period without mechanical tillage. The compacted soil structure may recover through moisture changes, freezing and thawing cycles, and plant growth, but the extent and rate of this recovery remain unknown. In this study, alfalfa plots with two different soil types (medium loam and sandy) in Gansu, China, were selected to address these issues. The areas of the plots were 120 m × 25 m and 80 m × 40 m, respectively. In the third year after sowing, three types of agricultural machinery with grounding pressures of 88 kPa, 69 kPa, and 48 kPa were used to compact the soil one, three, five, and seven times. The interval between replicates was 1 h. Each treatment had one plot of 10 m × 5 m, and the experiment was repeated 4 times, totaling 44 plots. Changes in soil bulk density, soil cone index, and saturated hydraulic conductivity were measured after 1, 4, 8, and 17 weeks, respectively. The results showed that the post-compaction soil bulk density and soil cone index largely influenced the recovery of the compacted soil. Recovery became problematic once the soil bulk density exceeded 1.5 g/cm3. The soil bulk density recovery rate varied across different soil layers, with the top layer recovering faster than more profound layers. The initial state could be restored when the change in post-compaction soil bulk density was minimal. Sandy soil recovered faster than medium-loam soil. The recovery of the soil cone index in each layer of medium-loam soil under lower compaction was more noticeable than that under severe compaction. However, with undergrounding pressures of 88 kPa and 69 kPa, the soil cone index could not fully recover after multiple compactions. The recovery of soil-saturated hydraulic conductivity in both soil types was slower and less pronounced. The recovery of soil-saturated hydraulic conductivity in medium-loam soil was slower than that in sandy loam. After 7 compactions and 17 weeks under a grounding pressure of 88 kPa, the saturated hydraulic conductivity remained below 20% of its initial value of 20 mm/h. In contrast, sandy soils recovered faster, reaching 60 mm/h within a week of each compaction event. This research is crucial for ensuring high and stable alfalfa yields and supporting sustainable agricultural practices. [ABSTRACT FROM AUTHOR]

In the realm of precise management, artificial intelligence has garnered significant attention and adoption, particularly within the domain of smart agriculture. In modern animal husbandry, animal face detection is conducive to individual identification, expression detection and behavior analysis of animals, and this technological advancement holds immense importance in fostering the advancement of intelligent farming practices. In order to solve the challenge of face detection caused by similar appearance features (color, texture, etc.) and no obvious feature differences between the solid-color goats and sheep in the natural environment, this research introduces a novel approach for face detection by combining the capabilities of YOLOv5 and a convolutional block attention module (CBAM). First, datasets of goats and sheep with different angles, scales and densities were constructed. Second, the basic framework of YOLOv5 was used for object detection. To address the obstacle posed by the limited presence of distinguishing features on the faces of goats and sheep, this study aims to overcome the challenge of extracting informative facial characteristics. The CBAM block was introduced to construct the YOLOv5-CBAM model to improve the feature extraction ability. Finally, 2412 images were selected and divided into training set and verification set according to 8:1. The experimental results of this dataset show that the proposed YOLOv5-CBAM model yielded remarkable results with a precision rate of 0.970, a recall rate of 0.890, a mAP@0.5 score of 0.935, an frames per second (FPS) of 140.845, and a model size of 14.680 MB. In comparison to other approaches such as Faster R-CNN, SSD, YOLOv3, and YOLOv5, the proposed model demonstrated superior performance in some aspects. In addition, it excelled in both lightweight design and overall effectiveness, and it is well-suited for real-time detection of animal faces in real-world farming settings, ensuring efficient identification and monitoring of animals within practical agricultural environments. [ABSTRACT FROM AUTHOR]

Background: Diarrheal disease is still the leading cause of morbidity and mortality in children, despite significant progress in diarrhea interventions. Zoonotic transmission is the main cause of the emergence and re-emergence of diseases. Domestic animals are often close to humans, particularly in resource-poor countries. Despite evidence of environmental contamination, there have been limited studies conducted to examine the association between domestic animal exposure and diarrheal disease in low- and middle-income countries (LMIC). Therefore, this systematic review and meta-analysis examines the association between domestic animal exposure and diarrheal disease in children under five years of age in LMIC. Methods: The search strategy followed PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines for the reporting of systematic reviews. All appropriate databases were searched to find relevant articles. Research studies were selected for review if they reported an outcome variable that measured diarrhea and exposure variables of any domestic animals. A data extraction form was used to extract information from each study. The quality of the individual articles was assessed using the Joanna Briggs Institute (JBI's) critical appraisal tools. Publication bias was checked using a funnel plot, Egger's regression test, and Begg's test. The heterogeneity of studies was checked using the Galbraith plot and the I-squared test. A sensitivity analysis was conducted, and a meta-analysis was conducted using STATA 17. Results: After reviewing 113 articles, 11 articles fulfilled the inclusion criteria hence considered for meta-analysis. The finding of these 11 studies revealed that study participants who had animal exposure had 1.95 higher odds of diarrhea as compared to participants who hadn't animal exposure (OR: 1.95, 95%CI: 1.25, 2.66). Conclusions and recommendations: This study reported that diarrheal disease was associated with study subjects who had domestic animal exposure. Therefore, more comprehensive research is needed on specific behaviors and interventions surrounding animal husbandry that may affect the transmission of pathogens between animals and humans; this would facilitate the design and implementation of measures to reduce animal exposure in the domestic environment. [ABSTRACT FROM AUTHOR]

In the domain of precision livestock farming, the integration of diverse data sources is crucial for advancing sustainability and evaluating the implications of farm management practices on cow health. Addressing the challenge of data heterogeneity and management diversity, we propose a key-feature-based clustering method. This approach, merging knowledge-driven feature selection with unsupervised machine learning, enables the systematic investigation of management effects on cow health by forming distinct clusters for analysis. Utilizing data from 3,284 Austrian farms, including 80 features related to feeding, milking, housing, and technology systems, and health information for 56,000 cows, we show how this methodology can be applied to study the impact of technological systems on cow health resulting from the incidence of veterinary diagnoses. Our analysis successfully identified 14 distinct clusters, further divided into four main groups based on their level of technological integration in farm management: "SMART," "TRADITIONAL," "AMS (automatic milking system)," and "SENSOR." We found that "SMART" farms, which integrate both AMS and sensor systems, exhibited a minimally higher disease risk for milk fever (OR 1.09) but lower risks for fertility disorders and udder diseases, indicating a general trend toward reduced disease risks. In contrast, farms with "TRADITIONAL" management, without AMS and sensor systems, showed the lowest risk for milk fever but the highest risk of udder disease (OR 1.12) and a minimally higher incidence of fertility disorders (OR 1.07). Furthermore, across all four groups, we observed that organic farming practices were associated with a reduced incidence of milk fever, udder issues, and particularly fertility diagnoses. However, the size of the effect varied by cluster, highlighting the complex and multifactorial nature of the relationship between farm management practices and disease risk. The study highlights the effectiveness of the key-feature-based clustering approach for high-dimensional data analyses aimed at comparing different management practices and exploring their complex relationships. The adaptable analytical framework of this approach makes it a promising tool for planning optimizing sustainable and efficient animal husbandry practices. [ABSTRACT FROM AUTHOR]

Clostridioides difficile is a spore-forming pathogen and the most common cause of healthcare-associated diarrhea and colitis in the United States. Besides producing the main virulence factors, toxin A (TcdA) and toxin B (TcdB), many of the common clinical strains encode the C. difficile transferase (CDT) binary toxin. The role of CDT in the context of C. difficile infection (CDI) is poorly understood. Inflammation is a hallmark of CDI and multiple mechanisms of inflammasome activation have been reported for TcdA, TcdB, and the organism. Some studies have suggested that CDT contributes to this inflammation through a TLR2-dependent priming mechanism that leads to the suppression of protective eosinophils. Here, we show that CDT does not prime but instead activates the inflammasome in bone marrow-derived dendritic cells (BMDCs). In bone marrow-derived macrophages (BMDMs), the cell binding and pore-forming component of the toxin, CDTb, alone activates the inflammasome and is dependent on K+ efflux. The activation is not observed in the presence of CDTa and is not observed in BMDMs derived from Nlrp3-/- mice suggesting the involvement of the NLRP3 inflammasome. However, we did not observe evidence of CDT-dependent inflammasome priming or activation in vivo. Mice were infected with R20291 and an isogenic CRISPR/Cas9-generated R20291 ΔcdtB strain of C. difficile. While CDT contributes to increased weight loss and cecal edema at 2 days post infection, the relative levels of inflammasome-associated cytokines, IL-1β and IL-18, in the cecum and distal colon are unchanged. We also saw CDT-dependent weightloss in Nlrp3-/- mice, suggesting that the increased weightloss associated with the presence of CDT is not a result of NLRP3-dependent inflammasome activation. This study highlights the importance of studying gene deletions in the context of otherwise fully isogenic strains and the challenge of translating toxin-specific cellular responses into a physiological context, especially when multiple toxins are acting at the same time. Author summary: Clostridioides difficile is a pathogen causing life-threatening diarrhea. C. difficile transferase (CDT) toxin is present in many strains associated with severe disease but its role during C. difficile infection is unclear. In this study, we show that the pore forming subunit, CDTb, activates the inflammasome in myeloid-derived murine cells. While we found that CDT contributes to weight loss in a C. difficile mouse infection model, this was independent of the inflammasome function. This study highlights the importance of studying gene deletions in the context of otherwise fully isogenic strains and the challenge of translating findings in tissue culture models to animal infections. However, it does reveal an additive role for CDT in the tissue edema that occurs in the murine model of acute infection and is consistent with the idea that CDT contributes to the severity of CDI symptoms. [ABSTRACT FROM AUTHOR]

Policy intensity is a crucial determinant of policy effectiveness. Analysis of policy intensity can serve as a basis for policy impact evaluation and enable policymakers to make necessary adjustments. Previous studies relied on manual scoring and mainly addressed specialized policies with limited numbers of texts. However, when dealing with text-rich policies, the method inevitably introduced bias and was time-consuming. In this paper, we propose a procedure facilitated by machine learning to analyze the intensity of not only specified but also comprehensive policies with large amounts of texts. Our machine learning-based approach assigns scores to the policy measure dimension, then cross-multiplies with two other dimensions, policy title and document type, to calculate intensity. The efficacy of our approach was demonstrated through a case study of China's environmental policies for livestock and poultry husbandry, which showed improved performance over traditional methods in terms of efficiency and objectivity. [ABSTRACT FROM AUTHOR]