Livestock Health Research Articles

PENDAMPINGAN KELOMPOK TERNAK AYAM UNTUK PEMBUATAN JAMU HERBAL (CARA FERMENTASI) DI DESA URAUR, KECAMATAN KAIRATU KABUPATEN SERAM BAGIAN BARAT

Free-range chicken farming is a business that has the potential to meet family needs, and has a large role in supporting the community's economy. Many of these farms are found in rural areas, generally of a traditional nature. Simple housing and simple feeding such as providing kitchen waste. The rest of the chickens themselves have to try to survive and fulfill their food needs in the yard. The negative impact of maintenance like this is low production and damage to yard plants. The main aim of this activity is to maintain livestock health by making and administering herbal medicine/fermented herbal medicine which is made together in groups (demonstration plots). Apart from that, train and motivate farmers to improve the rearing system so that they can develop free-range chicken farming businesses and become providers of chicken seeds. The target of implementing community service activities is a group of village chicken breeders in Uraur village, Kairatu sub-district, who have the will to implement new innovations to increase production and welfare of their families/community as well as for the chicken breeder community in general. The success of this activity is measured by the farmer's attention to chicken farming. Chickens given herbal medicine have better body resistance to disease and extreme environmental influences.

Ethnoveterinary study of floral therapeutics for livestock health in different communities of district Rewari, Haryana.

Ethnoveterinary study of floral therapeutics for livestock health in different communities of district Rewari, Haryana.

Unveiling bat-borne viruses: a comprehensive classification and analysis of virome evolution.

Bats (Order Chiroptera) are an important reservoir of emerging zoonotic microbes, including viruses of public health concern such as henipaviruses, lyssaviruses, and SARS-related coronaviruses. Despite the continued discovery of new viruses in bat populations, a significant proportion of these viral agents remain uncharacterized, highlighting the imperative for additional research aimed at elucidating their evolutionary relationship and taxonomic classification. In order to delve deeper into the viral reservoir hosted by bats, the present study employed Next Generation Sequencing (NGS) technology to analyze 13,105 swab samples obtained from various locations in China. Analysis of 378 sample pools revealed the presence of 846 vertebrate-associated viruses. Subsequent thorough examination, adhering to the International Committee on Taxonomy of Viruses (ICTV) criteria for virus classification, identified a total of 120 putative viral species with the potential to emerge as novel viruses, comprising a total of 294 viral strains. Phylogenetic analysis of conserved genomic regions indicated the novel virus exhibited a diverse array of viral lineages and branches, some of which displayed close genetic relationships to known human and livestock pathogens, such as poxviruses and pestiviruses. This study investigates the breadth of DNA and RNA viruses harbored by bats, delineating several novel evolutionary lineages and offering significant contributions to virus taxonomy. Furthermore, the identification of hitherto unknown viruses with relevance to human and livestock health underscores the importance of this study in encouraging infectious disease monitoring and management efforts in both public health and veterinary contexts. Video Abstract.

Optimization of Ferimzone and Tricyclazole Analysis in Rice Straw Using QuEChERS Method and Its Application in UAV-Sprayed Residue Study.

Rice straw is used as livestock feed and compost. Ferimzone and tricyclazole, common fungicides for rice blast control, can be found in high concentrations in rice straw after unmanned aerial vehicle (UAV) spraying, potentially affecting livestock and human health through pesticide residues. In this study, an optimized method for the analysis of the two fungicides in rice straw was developed using the improved QuEChERS method. After the optimization of water and solvent volume, extraction conditions including ethyl acetate (EtOAc), acetonitrile (MeCN), a mixed solvent, and MeCN containing 1% acetic acid were compared. Different salts, including unbuffered sodium chloride, citrate, and acetate buffer salts, were compared for partitioning. Among the preparation methods, the MeCN/EtOAc mixture with unbuffered salts showed the highest recovery rates (88.1-97.9%, RSD ≤ 5.1%). To address the severe matrix effect (%ME) of rice straw, which is characterized by low moisture content and cellulose-based complex matrices, samples were purified using 25 mg each of primary-secondary amine (PSA) and octadecylsilane (C18), without pesticide loss. The developed method was validated with a limit of quantification (LOQ) of 0.005 mg/kg for target pesticides, and recovery rates at levels of 0.01, 0.1, and 2 mg/kg met the permissible range (82.3-98.9%, RSD ≤ 8.3%). The %ME ranged from -17.6% to -0.3%, indicating a negligible effect. This optimized method was subsequently applied to residue studies following multi-rotor spraying. Fungicides from all fields and treatment groups during harvest season did not exceed the maximum residue limits (MRLs) for livestock feed. This confirms that UAV spraying can be safely managed without causing excessive residues.

Rapid and multiple visual detection of Fasciola hepatica in feces via recombinase polymerase amplification integrated with CRISPR/Cas12a technology

Fasciola hepatica is a foodborne zoonotic parasite causing significant economic losses and impacting human and livestock health in resource-limited regions. We developed a rapid, reliable, and sensitive detection method combining recombinase polymerase amplification (RPA) with CRISPR/Cas12a, allowing visualization with the naked eye or a fluorescence reader. Multiple visual methods were used to analyze the assay results. Fluorescence signals were collected using a fluorescence reader or observed under UV or blue light. Lateral flow strips (LFS) were used for visual detection. Among seven primer pairs and three CRISPR RNA (crRNA) screened, F1/R1 and crRNA3 were optimal. The Cas12a reaction buffer was optimized with 50 mM Tris-HCl and 80 mM NaCl, with an RPA reaction time of 20 min. The assay showed high specificity and excellent sensitivity for F. hepatica, detecting 0.122 copies/μL with fluorescence and 8.6 copies/μL with LFS. Testing of 143 sheep and 43 human fecal samples showed 98.39 % consistency with qPCR and nested PCR, with prevalence rates of 52.45 % and 18.6 % in sheep and humans, respectively. Our assay offers substantial potential for point-of-care testing in resource-limited areas, addressing the need for rapid and accurate diagnosis of F. hepatica.

Diagnosing Fungal Infection in Wheat Kernels by Integrating Spectroscopic Technology and Digital Color Imaging System: Artificial Neural Network, Principal Component Analysis and Correlation Feature Selection Techniques

ABSTRACTContamination of cereal grain, especially wheat, with fungal infections can cause significant economic impacts and it endangers the health of humans and livestock. This study aims to appraise the UV/VIS–NIR and digital color (RGB) imaging systems and spectroscopic methodology to detect wheat kernels infected by fungi such as Penicillium expansum and Fusarium graminearum. NIR spectra of 190–1100 nm at 10 nm intervals, visible color reflectance images and non‐visible reflectance images of wheat kernels in the ultraviolet and near‐infrared ranges were applied to develop the multi‐layer perceptron (MLP) artificial neural network model. The optimum wavelengths were selected by application of the principal component analysis (PCA) after preprocessing the raw spectra. A confusion matrix was used in the correlation feature selection method (CFS) for the decision tree classifier of selected features. The results showed that the four UV wavelengths of 310, 330, 400, and 410 nm were the best wavelengths using PCA to distinguish healthy and unhealthy wheat kernels. Considering the intensity of the wavelengths as the neural network inputs, samples were classified into healthy and unhealthy categories with an accuracy of 90.9%. Also, 18 features of color images in RGB, LAB, HSV, HSI, YCbCr, and YIQ spaces provided the highest average accuracy of 44.4% in classifying healthy and infected wheat kernels by using a CCD Proline camera in the ultraviolet range. In contrast, other cameras in the visible and invisible range showed low accuracy. Furthermore, the best classification accuracy of the healthy and infected samples by the use of the CFS method was obtained at 88.1%. Based on the findings, spectroscopic methodology proved to be highly effective for detecting, classifying and automatic cleaning of various agricultural seeds, with a particular emphasis on wheat kernals.

The vital role of melatonin in the intestinal mucosal barrier integrity in chick

BackgroundThe intestinal tract, as the main place for nutrient digestion and absorption, is closely related to the health of livestock and poultry. Melatonin secreted by the pineal gland acts as an endocrine transport signaling molecule to regulate intestinal function. However, the effect on intestinal function after pineal removal is unclear. MethodsWe raised 24 chicks under 400-700 nm white light with or without pinealectomy for 21 days. We used electron microscopy, HE staining, PAS staining, immunohistochemistry, immunofluorescence staining and western blot to detect intestinal physical and to explore the effect of melatonin secreted by the pineal gland on the intestinal mucosa barrier function. ResultsThe results showed that after pineal gland removal, the structure of the intestinal villi is severely damaged. Moreover, there was an obviously down-regulation in the villi length, the number of goblet cells and and its secretion of MUC2 protein, the expression level of tight junction proteins (Occludin and ZO-1) and lysozyme secreted by paneth cells, number of PCNA positive cells and macrophage, and an up-regualtion in crypt depth and apoptosis level after pinealectomy, suggesting pinealectomy-mediated melatonin level decrease damaged the intestinal physical, chemical and immune barriers. ConclusionOur findings provide new theoretical support for the future use of melatonin in intestinal development and new ideas about the relationship between endocrine hormone and intestinal physiology.

Environmental endocrine disrupting chemical-DEHP exposure-provoked biotoxicity about microbiota-gut-mammary axis in lactating mice via multi-omics technologies

Plastics, pervasive in humans and nature, often contain Di (2-ethylhexyl) phthalate (DEHP) that enhance plastic’s elasticity. However, DEHP is an environmental endocrine disruptor, affecting organisms upon exposure. Understanding mammary gland development in lactating females is crucial for offspring nourishment and dairy production. Employing multi-omics technology, this study aimed to uncover DEHP’s impact on the microbial–gut–mammary axis. Forty mice were exposed to varying DEHP doses for 18 d. We performed 16S sequencing, metabolomics, mammary tissue observation, and gene expression profiling. Results revealed DEHP’s influence on microbial diversity, with increased Lactobacillus abundance and reduced Proteobacteria, alongside colonic inflammation. Elevated GMP and adenosine 5′-monophosphate levels in the bloodstream were noted, while ascorbic acid, glycitein, and others decreased. MEHP, a DEHP metabolite, damaged mammary tissues, inhibiting ERK1/2 phosphorylation, triggering apoptosis and ferroptosis. These findings unveil potential therapeutic targets for DEHP-induced chronic toxicity in humans and animals, aiding dairy livestock health and human well-being. This study underscores the importance of understanding the adverse effects of DEHP exposure on mammalian systems.

Endophyte mixture effects on ryegrass staggers in sheep

Epichloë endophytes protect ryegrass from insect pests, but no strain provides both the highest level of insect protection and lowest risk to livestock health. This study examined mixtures of endophytes to find combinations that could mitigate ryegrass staggers in sheep. At Barenbrug NZ, Courtenay, pastures varying widely in sown proportions of perennial ryegrass infected with nea3, nea12 and standard endophyte (SE) were sown in May 2019 and tested with lambs in summer and hoggets in spring 2020. In summer, sown proportions of >65% nea3, <35% nea12 and no SE delayed severe staggers (score 4–5) by 1 week. Alkaloid profiles of these pastures included the tremorgens epoxyjanthitrem I (<0.28 ppm) of nea12 and paxilline (<0.15 ppm) and terpendole C (<1.37 ppm) of nea3. In spring, sown proportions of >65% nea3 and <35% nea12 and/or SE did not induce staggers (score 0–0.1). Those pastures had low concentrations of the potent tremorgen lolitrem B (<0.30 ppm) of SE, epoxyjanthitrem I (<0.39 ppm) of nea12 and paxilline (<0.09 ppm) and terpendole C (<0.41 ppm) of nea3 and SE. The optimal endophyte formulations that minimised staggers across summer and spring were >65% nea3, <35% nea12 and no SE.

스마트 축사내 상황인지 자율이동형 환경센서 개발 및 가축행동 분석에 관한 연구

This study aims to develop a system that predicts the health status of cattle based on behavior patterns and environmental data within a smart barn using an autonomous driving system. Maintaining a unique ID for each cow using only a camera, without external devices (such as RFID tags), is essential. This enables the tracking of behavior patterns such as standing, sitting, and lying for each cow over time. Additionally, environmental data such as temperature and humidity are integrated to comprehensively assess the cows' health conditions. To achieve this, we propose a unique ID retention algorithm that combines object detection using YOLO, tracking with Deep SORT, and re-identification (ReID). Experimental results show that the YOLO + Deep SORT + ReID algorithm delivers the best performance in maintaining unique IDs, and the LSTM-based behavior analysis model demonstrates high accuracy in predicting behavior patterns. This system can serve as an effective tool for real-time prediction of livestock health conditions, such as disease or stress, through comprehensive analysis of environmental data and behavior patterns inside the barn.

Sosialisasi Manajemen Kesehatan Kambing Perah serta Pengaruhnya terhadap Kualitas Susu pada Peternak Kambing Perah di Kecamatan Ampelgading dan Tirtoyudo Kabupaten Malang

Goat's milk is a food of animal origin that is easily damaged and requires handling after the milking process. Ampelgading and Tirtoyudo sub-districts are areas in Malang Regency where some of the population are dairy goat breeders. This community service aims to provide socialization and education on good animal health management so that it can improve the quality of goat milk. The activity began with collecting farmer data and analyzing the situation of dairy goat farming. The socialization method was carried out by conducting focus group discussions about knowledge of animal health management and checking the quality of goat milk. Milk composition testing uses Lactoscan, while organoleptic testing is based on Indonesian National Standard 01-2346-2006 concerning organoleptic and sensory testing instructions. The results of community service show that the quality of dairy goat milk in Ampelgading and Tirtoyudo Districts is premium based on the Thailand Agriculture Standard 2008. The results of the organoleptic test of goat milk have remained the same based on SNI 3141-1-2011 regarding the quality of fresh milk. The results of this goat milk quality test can be used as a basis for farmers to improve livestock management and milking. Through this activity, farmers can implement good livestock health management so that the quality of goat milk and the selling price increase. This activity will encourage young farmers to be more interested in becoming dairy goat breeders who have high economic prospects and contribute to increasing goat milk productivity. Apart from that, this activity can improve the welfare of farmers by improving the quality of goat milk with higher selling power.

Treatment ineffectiveness towards Haemonchus contortus is highly prevalent in sheep and goat farms of North-Eastern Italy

BackgroundAnthelmintic resistance (AR) is a global threat to grazing livestock farming. In Italy, anthelmintic efficacy remains high compared to other European countries, but many parts of the country haven’t been investigated yet. Local veterinary practitioners from Trentino and Veneto regions reported suspected inefficacy towards anthelmintic drugs in some of their farms, prompting a study on AR in sheep and goat farms of northern Italy. The study aimed to assess anthelmintic effectiveness using genus-specific faecal egg count reduction tests (FECRT), to detect differences in treatment response among nematode genera involved in the infection.ResultsTwelve farms (6 sheep and 6 goat farms) were included based on clinical suspicion of AR. Treatments were carried out with either benzimidazoles (BZ) or macrocyclic lactones (ML) Treatment was effective in 3/6 goat trials, with reduced effectiveness to BZ in two farms and to ML the last one. In sheep farms (6/6), effectiveness was consistently and more severely insufficient. Ineffectiveness was particularly high towards Haemonchus contortus, while Oesophagostomum/Chabertia maintained susceptibility in nearly all trials. Trichostrongylus/Teladorsagia exhibited intermediate results.ConclusionsThis study reveals diminished efficacy of both BZ and ML in small ruminant farms in north-eastern Italy, an area previously lacking data on the topic, except for goats in South Tyrol. Variability in treatment responses among nematode genera support suspicions of AR, and further concerns are raised by the prevalence of treatment ineffectiveness against the highly pathogenic Haemonchus contortus. This finding underscores the urgent need for comprehensive AR monitoring in the area and improved management practices to prevent further resistance development and protect livestock health.

Study of fractional order rabies transmission model via Atangana–Baleanu derivative

In this work, we aim at disentangling the theoretical contribution through mathematical modeling approach to advance the understanding of rabies dynamics and control in livestock population. A fractional order model of rabies, using Atangana–Baleanu fractional operator is created. The analysis of suggested system and its application are both conducted. The capacity of proposed model to forecast the disease can help researchers and livestock health care agencies to take preventive actions.

SOSIALISASI KESEHATAN TERNAK DI DESA KONDOANO KECAMATAN MOWILA KABUPATEN KONAWE SELATAN

The Community Service Activity of Halu Oleo University Thematic KKN lecturers in 2024 aims to provide information to livestock farmers in Kondoano Village, Mowila District, South Konawe Regency, regarding livestock health and disease control. The activity lasted for one month, from July to August 2024, and included socialization of livestock health which was carried out in two stages: preparation and implementation. The results of the activity showed high enthusiasm from the participants, with farmers actively participating in the question and answer session about livestock health and potential diseases. This socialization provided new knowledge to farmers regarding livestock health and how to handle it, which contributed to reducing livestock disease and mortality. Livestock health is an important factor in the development of livestock businesses, and by ensuring livestock health, farmers can operate without obstacles.

Cryo-EM structure of a natural prion: chronic wasting disease fibrils from deer

Chronic wasting disease (CWD) is a widely distributed prion disease of cervids with implications for wildlife conservation and also for human and livestock health. The structures of infectious prions that cause CWD and other natural prion diseases of mammalian hosts have been poorly understood. Here we report a 2.8 Å resolution cryogenic electron microscopy-based structure of CWD prion fibrils from the brain of a naturally infected white-tailed deer expressing the most common wild-type PrP sequence. Like recently solved rodent-adapted scrapie prion fibrils, our atomic model of CWD fibrils contains single stacks of PrP molecules forming parallel in-register intermolecular β-sheets and intervening loops comprising major N- and C-terminal lobes within the fibril cross-section. However, CWD fibrils from a natural cervid host differ markedly from the rodent structures in many other features, including a ~ 180° twist in the relative orientation of the lobes. This CWD structure suggests mechanisms underlying the apparent CWD transmission barrier to humans and should facilitate more rational approaches to the development of CWD vaccines and therapeutics.

PENYAKIT MULUT DAN KUKU DI INDONESIA DANKEBIJAKAN PERDAGANGAN INTERNATIONAL;APA YANG DAPAT DIPELAJARI DARI WABAH TERAKHIR?

The statement letter from the World Health Agency "Office Internationale Des Epizoties (OIE)," started in OIE Resolution Number XI in 1990, has been a new independence for Indonesia to rebuild the livestock and animal health sector. However, the outbreak of foot and mouth disease (FMD) in mid-May 2022 in Indonesia and the Central Asian country of Kazakhstan in early January 2022 proves that the importance of the role and influence of international trade, both formal and informal trade, directly or indirectly on government policies in exporting animals and its products to prevent the spread of FMD disease through commodity trading. In addition, the lack of supervision of trade in animal commodities and animal products from export and import activities will impact the emergence of other new infectious diseases that will occur in the future. Therefore, world health organizations, international trade organizations, and governments must review policies related to international trade to prevent repeated transmission and other new diseases in the future by evaluating the causes of FMD transmission in countries declared free of FMD, such as Indonesia. This paper attempts to analyze this problem through the history of FMD in Indonesia and the FMD-free zone from the perspective of international trade. This paper can provide information and contribute to the future prevention of FMD through international trade in Indonesia.

Species Diversity and Seasonal Abundance of Stomoxyinae (Diptera: Muscidae) and Tabanid Flies (Diptera: Tabanidae) on a Beef Cattle and a Buffalo Farm in Nakhon Si Thammarat Province, Southern Thailand.

This study investigated species diversity and seasonal abundance of Stomoxyinae and tabanid flies, which are significant pests and vectors of animal pathogens, on a beef cattle and a buffalo farm in Nakhon Si Thammarat province, southern Thailand. During a one-year period from December 2020 to November 2021, flies were collected using Nzi traps from 6 a.m. to 6 p.m. over three consecutive days each month, resulting in the capture of 1912 biting flies, representing seven Stomoxyinae and nine tabanid species. The five most prevalent species were Tabanus megalops, Haematobia irritans exigua, Stomoxys calcitrans, Stomoxys indicus, and Stomoxys uruma. Fly density was notably higher on the beef cattle farm compared to the buffalo farm, with most species peaking during the rainy season, except for H. i. exigua, which was more abundant during the dry season. This study also examined the influence of temperature, relative humidity, and rainfall on fly density, revealing species-specific patterns. These findings offer updated insights into species diversity and seasonal trends, providing critical baseline data essential for the development of effective control strategies aimed at mitigating the impact of these flies on livestock health.

Antibiotic prescription, dispensing and use in humans and livestock in East Africa: does morality have a role to play?

Antimicrobial resistance (AMR) is a global threat to human and livestock health. Although AMR is driven by use of antimicrobials, it is often attributed to "misuse" and "overuse", particularly for antibiotics. To curb resistance, there has been a global call to embrace new forms of moral personhood that practice "proper" use, including prescription, dispensing and consumption of antimicrobials, especially antibiotics. This paper seeks to reflect on complex questions about how morality has become embedded /embodied in the AMR discourse as presented in the data collected on antimicrobial prescription, dispensing and use in human and livestock health in Tanzania, primarily focusing on antibiotics. This reflection is anchored on Jarrett Zigon's morality framework that is comprised of three dimensions of discourse; the institutional, public, and embodied dispositions. The data we use within this framework are derived from a qualitative study targeting human and animal health care service providers and community members in northern Tanzania. Data were collected through 28 in-depth interviews and ten focus group discussions and analysed through content analysis after translation and transcription. In addition, a review of the Tanzania's National Action Plans on antimicrobial resistance was conducted. Application of the framework demonstrates points of convergence and divergence in the institutional morality discourse articulated by the Tanzania National Action Plans, the public discourse and the embodied dispositions/ lived experiences of human and animal health care service providers and community members. We demonstrate that AMR is not just associated with "inappropriate" behaviour on the part of drug prescribers, dispensers, and users but also with shortcomings in health systems and service delivery. Antibiotic dispensing and use practices that may be associated with the development of AMR should not be viewed in isolation from the broader health context within which they occur.

Design and implementation of an IoT-based monitoring system for early detection of lumpy skin disease in cattle

Livestock farming serves a crucial role in global food security and sustainability, yet infections like Lumpy Skin Disease (LSD) present huge difficulties. LSD reduces the marketability and productivity of cattle, but it is not fatal. Current preventive measures that rely on routine veterinary testing can be time-consuming and miss early signs of infection, requiring a more effective management strategy first works This article presents an IoT-enabled intelligent system to prevent LSD in animals. The system uses a smart wearable sensor device to collect real-time health information including body temperature, heart rate and 3-axis motion data. Advanced analysis of data is considered to identify early diagnosis of potential LSD infection results based on deviations from normal parameters, this data prevents further infection within livestock by supporting immediate isolation. On a cloud-based online platform, and integrated into the mobile application provides a comprehensive experience and timely alerts to provide potential health issues. Furthermore, the IoT features of the system enable farmers and veterinarians to quickly guide and optimize disease control strategies, improving biosecurity protocols and overall livestock health management. This creative approach represents a significant improvement over traditional methods, providing a cost-effective, accurate and real-time solution for animal health monitoring and management.

Advancing Multi-Ion Sensing with Poly-Octylthiophene: 3D-Printed Milker-Implantable Microfluidic Device.

On-site rapid multi-ion sensing accelerates early identification of environmental pollution, water quality, and disease biomarkers in both livestock and humans. This study introduces a pocket-sized 3D-printed sensor, manufactured using additive manufacturing, specifically designed for detecting iron (Fe2+), nitrate (NO3 -), calcium (Ca2+), and phosphate (HPO4 2-). A unique feature of this device is its utilization of a universal ion-to-electron transducing layer made from highly redox-active poly-octylthiophene (POT), enabling an all-solid-state electrode tailored to each ion of interest. Manufactured with an extrusion-based 3D printer, the device features a periodic pattern of lateral layers (width = 80µm), including surface wrinkles. The superhydrophobic nature of the POT prevents the accumulation of nonspecific ions at the interface between the gold and POT layers, ensuring exceptional sensor selectivity. Lithography-free, 3D-printed sensors achieve sensitivity down to 1ppm of target ions in under a minute due to their 3D-wrinkled surface geometry. Integrated seamlessly with a microfluidic system for sample temperature stabilization, the printed sensor resides within a robust, pocket-sized 3D-printed device. This innovation integrates with milking parlors for real-time calcium detection, addressing diagnostic challenges in on-site livestock health monitoring, and has the capability to monitor water quality, soil nutrients, and human diseases.