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In the area of agriculture and livestock management, the integration of the Internet of Things (IoT) has emerged as a groundbreaking strategy to enhance operational efficiency and advance intelligent process management. However, this sector faces significant challenges, including ambiguity in product origins and limited regulatory oversight of IoT devices. This paper explores the innovative integration of blockchain technology within the agricultural and livestock IoT, highlighting how this convergence significantly enhances operational security and transparency. We provide an in-depth review of the latest applications and advancements of blockchain in these domains, offering a comprehensive analysis of the current state of technology and its implications. Furthermore, this paper discusses the potential future development trajectories in agricultural and livestock IoT, emphasizing blockchain's role in addressing current challenges and shaping future innovations. The findings suggest that blockchain technology not only improves data security and trustworthiness but also opens new avenues for efficient and transparent management in agriculture and animal husbandry. [ABSTRACT FROM AUTHOR]

The forage-livestock balance is an important component of natural grassland management, and realizing a balance between the nutrient energy demand of domestic animals and the energy supply of grasslands is the core challenge in forage-livestock management. This study was performed at the Xieertala Ranch in Hulunbuir City, Inner Mongolia. Using the GRAZPLAN and GrazFeed models, we examined the forage-livestock energy balance during different grazing periods and physiological stages of livestock growth under natural grazing conditions. Data on pasture conditions, climatic factors, supplemental feeding, and livestock characteristics, were used to analyze the metabolizable energy (ME), metabolizable energy for maintenance (MEm), and total metabolizable energy intake (MEItotal) of grazing livestock. The results showed that the energy balance between forage and animals differed for adult cows at different physiological stages. In the early lactation period, although the MEItotal was greater than MEm, it did not meet the requirement for ME. MEItotal was greater than ME during mid-lactation, but there was still an energy imbalance in the early and late lactation periods. In the late lactation period, MEItotal could meet ME requirements from April–September. Adult gestational lactating cows with or without calves were unable to meet their ME requirement, especially in the dry period, even though MEItotal was greater than MEm. Adult cows at different physiological stages exhibited differences in daily forage intake and rumen microbial crude protein (MCP) metabolism, and the forage intake by nonpregnant cows decreased as follows: early lactation > mid-lactation > late lactation, pregnant cows' lactation > dry period. For the degradation, digestion and synthesis of rumen MCP, early-lactation cows were similar to those in the mid-lactation group, but both were higher than those in the late-lactation group, while pregnant cows had greater degradation, digestion, and synthesis of MCP in the lactation period relative to the dry period. For lactating cows, especially those with calves, grazing energy requirements, methane emission metabolism and heat production were highest in August, with increased energy expenditure in winter. Overall, grazing energy, methane emissions and heat production by dry cows were low. In the context of global climate change and grassland degradation, managers must adopt different strategies according to the physiological stages of livestock to ensure a forage-livestock balance and the sustainable utilization and development of grasslands. [ABSTRACT FROM AUTHOR]

The impacts of climate change on agricultural production are becoming more severe, leading to increased food insecurity. Adopting more progressive methodologies, like smart farming instead of conventional methods, is essential for enhancing production. Consequently, livestock production is swiftly evolving towards smart farming systems, propelled by rapid advancements in technology such as cloud computing, the Internet of Things, big data, machine learning, augmented reality, and robotics. A Digital Twin (DT), an aspect of cutting-edge digital agriculture technology, represents a virtual replica or model of any physical entity (physical twin) linked through real-time data exchange. A DT conceptually mirrors the state of its physical counterpart in real time and vice versa. DT adoption in the livestock sector remains in its early stages, revealing a knowledge gap in fully implementing DTs within livestock systems. DTs in livestock hold considerable promise for improving animal health, welfare, and productivity. This research provides an overview of the current landscape of digital transformation in the livestock sector, emphasizing applications in animal monitoring, environmental management, precision agriculture, and supply chain optimization. Our findings highlight the need for high-quality data, comprehensive data privacy measures, and integration across varied data sources to ensure accurate and effective DT implementation. Similarly, the study outlines their possible applications and effects on livestock and the challenges and limitations, including concerns about data privacy, the necessity for high-quality data to ensure accurate simulations and predictions, and the intricacies involved in integrating various data sources. Finally, the paper delves into the possibilities of digital twins in livestock, emphasizing potential paths for future research and progress. [ABSTRACT FROM AUTHOR]

Simple Summary: This study explored how the gut bacteria, archaea, and fungi differ between male and female Simmental cattle. By analyzing fecal samples, we found that certain types of microorganisms in the gut vary significantly depending on whether the cattle are male or female. For example, female cattle had a greater variety of certain archaea, which are microorganisms that help with digestion. Additionally, we discovered connections between specific gut microbes and blood health, with some microbes being more beneficial in males and others in females. These findings are important because they suggest that male and female cattle may need different feeding or health management strategies to optimize their growth and productivity. Understanding these differences can help farmers and veterinarians improve cattle health, which in turn could lead to better meat and milk production. This research emphasizes the importance of considering gender when studying the gut health of livestock. This study investigates gender-based differences in the gut microbiota of Simmental cattle, focusing on bacterial, archaeal, and fungal communities. Fecal samples were collected and analyzed using high-throughput sequencing, with taxonomic classification performed through the SILVA and UNITE databases. Alpha and beta diversity metrics were assessed, revealing significant differences in the diversity and composition of archaeal communities between males and females. Notably, females exhibited higher alpha diversity in archaea, while beta diversity analyses indicated distinct clustering of bacterial and archaeal communities by gender. The study also identified correlations between specific microbial taxa and hematological parameters, with Treponema and Methanosphaera showing gender-specific associations that may influence cattle health and productivity. These findings highlight the importance of considering gender in microbiota-related research and suggest that gender-specific management strategies could optimize livestock performance. Future research should explore the role of sex hormones in shaping these microbial differences. [ABSTRACT FROM AUTHOR]

BACKGROUND AND OBJECTIVES: The livestock sector contributes to increasing greenhouse gas emissions. The emissions generated from livestock mainly originate from enteric fermentation, which is strongly influenced by feed quality. The utilization of fermented rice straw as a source of crude fiber for animal feed is one solution for providing high-quality feed. Central Java is one of the centers of cattle farming and rice production in Indonesia. The purpose of this study was to determine the contribution of greenhouse gas emissions resulting from fermented straw feed formula commonly practiced by cattle farmers in Central Java.METHODS: Greenhouse gas production was conducted in vitro using three formulas arranged in a completely randomized design with six replications. The three feed formula treatments were: 30 percent king grass + 35 percent rice bran+ 35 percent wheat bran (treatment one), 30 percent fermented rice straw + 35 percent rice bran + 35 percent wheat bran (treatment two), and 30 percent fermented rice straw + 70 percent concentrate (treatment three). Feed nutrient content and enteric gas production were analyzed to determine the quality of the feed formula as well as to determine feed digestibility and greenhouse gas production during the digestion process. The gas production was measured at regular intervals of 8, 16, 24, 36, and 48 hours. The methane, nitrous oxide, and carbon dioxide contents were analyzed using gas chromatography. Data on nutrient content and digestibility of dry matter and organic matter were analyzed using analysis of variance, and the estimated greenhouse gas emissions were calculated using the ideal gas equation approach.FINDINGS: The quality of the feed formula influences the amountof greenhouse gases emission produced by enteric fermentation processes. The feed quality of treatment one was equivalent to that of treatment two. The treatment three feed formulation had a crude protein content approximately 3 percent higher than that of treatment one and treatment two. The digestibility of dry matter and organic matter values did not show significant differences between the treatments. The feed formula treatment two can reduce potential greenhouse gas emissions by 1.81 percent from treatment one, whereas treatment three can reduce potential greenhouse gas emissions by 27.78 percent from treatment one and by 26.4 percent from treatment two. These results indicate that feed formulas with higher crude protein content have greater potential to reduce greenhouse gas emissions. This finding can be used to mitigate and develop strategies to improve feed quality by utilizing agricultural waste as a broader low greenhouse gas emission livestock management effortCONCLUSION: Utilization of fermented straw has the potential to reduce greenhouse gas emissions resulting from enteric fermentation and contamination of unutilized straw waste and has the opportunity to reduce land use and greenhouse gas emissions from forage plants. Efforts to utilize fermented straw as a low greenhouse gas emission feed need to be followed by improvements in feed quality. More comprehensive studies need to be carried out on the variations in feed formulas based on differences in regional resources, the economic feasibility of utilizing fermented straw combined with various feed ingredients, and the life cycle assessment of straw utilization as a feed ingredient based on geographical, social, economic, technological, and environmental dimensions.

Simple Summary: This paper addresses the need for effective biosecurity due to disease challenges, the emergence and re-emergence of new pathogens, the growing pressure of antibiotic restrictions, and the welfare and sustainability of livestock farming. It introduces the Biorisk® External platform, a cloud-based visitor control system that enhances data management and biosecurity compliance protocols. This system analyzes visitation patterns, revealing trends and categorizing visits by authorization and risk status. This network analysis also allows for the identification of 'superspreader' farms that represent a high epidemiological risk. The results advocate for integrating technology into biosecurity protocols to optimize standard operation procedures (SOPs) to improve animal health and mitigate economic losses, highlighting the importance of data-driven decision-making in modern livestock farming. This study explores the critical challenges the livestock sector faces, particularly those related to biosecurity, animal welfare, and antibiotic use restrictions. It highlights the need to implement advanced information and communication technologies to enhance operational sustainability and decision-making. We introduce the Biorisk® External platform, a cloud-based visit control system designed to optimize biosecurity management by accurately tracking visitor activity through QR codes and GPS geolocation. During a 6-month study period from July to December 2023, we analyzed visits to 142 different swine production sites and 30 vehicle movement patterns. The analysis revealed trends in visitation patterns and compliance with biosecurity SOPs. The software categorized visits as authorized (A), not authorized with access (NAWA), and not authorized without access (NAWOA), providing a framework to assess biosecurity risks. Additionally, network analysis identified interconnected farms, which were classified as 'superspreaders', highlighting their considerable risk of disease transmission. This study advocates for the integration of digital systems in livestock operations to improve biosecurity measures, facilitate real-time data input, and support informed decision-making. By enhancing biosecurity protocols through technology, the livestock industry can better safeguard animal health, increase operational efficiency, and reduce potential economic losses associated with disease outbreaks. [ABSTRACT FROM AUTHOR]

Ongoing habitat loss and species extinctions require managers to implement and quantify the effectiveness of conservation actions for protecting biodiversity. Fencing, when done properly, is an important management tool for conservation in landscapes where wildlife and domestic animals co‐occur, potentially enhancing habitat use through selective exclusion of domestic species. For instance, the fencing of forest patches in the Neotropics is expected to reduce the degradation of understory vegetation by cattle, releasing these resources for the native community of browsers and fruit consumers.Here, we implemented an ecological experiment using a before‐after control‐impact design to quantify the effect of cattle exclusion on encounter probability of the native community of browsers and fruit consumers, and percent ground cover in multifunctional landscapes of the Colombian Orinoquía. We built 14 km of wildlife‐permeable fences along forest edges in four forest patches (i.e. blocks) containing control and fenced (treatment) sites. We installed 33 camera traps to obtain information about wildlife and cattle encounter probabilities, before and after the fences were constructed. We used Bayesian generalised linear mixed effects models to quantify the effect of fences via the interaction between the time period (before and after the fences were built) and treatment (control or fenced sites).Fencing was effective at reducing encounter probabilities of cattle in the treated sites, and it had a positive impact on relative encounter probabilities of four of seven studied wildlife species (herbivores including the black agouti [dry season only], lowland tapir [dry season only] and spotted paca [both seasons] and an omnivore, the South American coati [rainy season only]). The effect of fencing was negative for the collared peccary but only during the dry season. No statistically significant effect was detected for the white‐lipped peccary or white‐tailed deer.Synthesis and applications: We provide experimental evidence that fences are effective at selectively excluding cattle and increasing encounter rates of wild browsers and fruit consumers in forest patches where these species co‐occur with cattle. Our results highlight an important application of fencing ecology in Neotropical forests, where the implementation of wildlife‐permeable fences is feasible due to smaller body sizes of wildlife compared to domestic animals such as cattle. [ABSTRACT FROM AUTHOR]

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To adjust for potential overestimations in the nitrogen excretion by horses within Overseer®, a revised stock unit system has been proposed (equineRSU). These equineRSU were generated and validated using a medium-sized equine farm as a model farm. The aim of this study was to test the application of the equineRSU and seasonal stock number adjustment on a more complex farming model. Livestock numbers and management data were captured prospectively for the base property (128.8 ha) of a large multi-property commercial breeding stud (3 support properties, 556 ha total area) between June 2022 and May 2023. The monthly on-farm metabolisable energy (ME) requirement and pasture demand were deterministically modelled with both a customised feed budget using livestock class and weight or using the equineRSU and monthly adjusted stock numbers. There were multiple complex movements of horses on and off the property in the different stock classes across the year, with stock management reflecting seasonal periods of high stocking density. There was good agreement (6% variance) between actual ME demand (complex feed budget) and estimated feed demand (simplistic equineRSU model) of 4,387,187 MJ vs 4,102,770 MJ. This suggests that the equineRSU could be used on complex equine farm systems within Overseer®. [ABSTRACT FROM AUTHOR]

Successful sheep farming requires hands-on management and a thorough understanding of the factors that influence it. This necessitates a practical, well-organized approach to ensure the flock's health, productivity, and profitability. Various factors, such as climate, available resources, and management strategies, play a crucial role in determining the success of sheep farming. This study, conducted in the Batna region of Algeria, aimed to assess sheep breeding practices and production performance through a questionnaire distributed to farmers and veterinarians. The study encompassed 14,124 sheep, including 9,435 ewes, from 33 Batna region farms to evaluate production and reproduction performance. The findings revealed that the Ouled Djellal breed is the most prevalent, comprising 61.02% of the sheep population. The results indicated that sheep farming in the region largely relies on traditional extensive grazing systems. It is worth noting that breeding practices have not consistently followed recommended guidelines, as evidenced by a suboptimal sex ratio of 36.28. Additionally, only 21.94% of breeders had employed heat synchronization methods, and artificial insemination was not utilized. The low adoption of artificial insemination is primarily attributed to factors, including a lack of knowledge regarding reproductive management, along with challenges related to illiteracy and limited access to essential resources. The analysis further demonstrated that all categories of sheep were profitable; however, profitability was influenced by factors, such as environmental conditions, feed availability, and the age of the animals. The study underscored significant findings, including the prevalence of the Ouled Djellal breed and the limited use of advanced breeding practices, such as artificial insemination, in the Batna region. The value of the current study lies in its comprehensive examination of traditional sheep farming practices and its recommendations for enhancing productivity. These include improving management practices, increasing access to resources, and promoting genetic improvement by adopting advanced breeding technologies. [ABSTRACT FROM AUTHOR]

The article discusses the use of generative artificial intelligence (AI) in extension services for livestock producers. It highlights the benefits of specialized AI platforms trained on region-specific extension publications, emphasizing the importance of validating AI-provided information with local experts. The Extension Foundation has developed ExtensionBot, an agriculture-specific generative AI platform, to provide unbiased, science-backed knowledge to extension personnel and producers. The article also compares the performance of different large language models in answering livestock-specific technical questions, pointing out the need for active collaboration among state cooperative extension agencies to enhance the effectiveness of AI tools in extension services. [Extracted from the article]

Abstract Background Livestock keeping is one of the potential factors related to malaria transmission. To date, the impact of livestock keeping on malaria transmission remains inconclusive, as some studies suggest a zooprophylactic effect while others indicate a zoopotentiation effect. This study assessed the impact of livestock management on malaria transmission risks in rural Tanzania. Additionally, the study explored the knowledge and perceptions of residents about the relationships between livestock keeping and malaria transmission risks in a selected village. Methods In a longitudinal entomological study in Minepa village, South Eastern Tanzania, 40 households were randomly selected (20 with livestock, 20 without). Weekly mosquito collection was performed from January to April 2023. Indoor and outdoor collections used CDC-Light traps, Prokopack aspirators, human-baited double-net traps, and resting buckets. A subsample of mosquitoes was analysed using PCR and ELISA for mosquito species identification and blood meal detection. Livestock's impact on mosquito density was assessed using negative binomial GLMMs. Additionally, in-depth interviews explored community knowledge and perceptions of the relationship between livestock keeping and malaria transmission risks. Results A total of 48,677 female Anopheles mosquitoes were collected. Out of these, 89% were Anopheles gambiae sensu lato (s.l.) while other species were Anopheles funestus s.l., Anopheles pharoensis, Anopheles coustani, and Anopheles squamosus. The findings revealed a statistically significant increase in the overall number of An. gambiae s.l. outdoors (RR = 1.181, 95%CI 1.050–1.862, p = 0.043). Also, there was an increase of the mean number of An. funestus s.l. mosquitoes collected in households with livestock indoors (RR = 2.866, 95%CI: 1.471–5.582, p = 0.002) and outdoors (RR = 1.579,95%CI 1.080–2.865, p = 0.023). The human blood index of Anopheles arabiensis mosquitoes from houses with livestock was less than those without livestock (OR = 0.149, 95%CI 0.110–0.178, p

Virtual fence (VF) technology uses GPS-enabled collars to manage cattle movement through audio cues and electrical pulses, offering a potential alternative to traditional physical fencing. The performance of Nofence VF collars was evaluated while in operational mode and deployed on cattle grazing within the northern temperate climate of central Alberta, Canada. Technical parameters such as network connectivity, collar failures, battery performance, and solar charging capabilities of the VF collars were evaluated across four grazing trials, three conducted in summer and one in winter. The network connection intervals, defined as the time between successive connection events, ranged from 8.1 (± 6.2) to 9.4 (± 5.4) minutes throughout the trials, remaining well within the optimal 15-minute interval, highlighting the favourable interactivity with end-users. Poor network connections occurred less than 1 % of the time, demonstrating robust coverage across the entire area. Fourteen collars experienced a network connection failure that did not persist after a manual reset. Four cattle physically lost their collars, which were then recovered and promptly redeployed. Although the mean solar charging rate was lower during the winter trial (3.1 ± 10.8 mA h-1) than the summer trials (7.9 ± 18.0 to 12.4 ± 22.1 mA h-1), mean battery charge remained greater than 96 % for all trials, even during winter when daylight was limited. While reliable cellular network access is crucial, these results indicate that Nofence VF collars can effectively function in diverse environmental conditions, and may be suitable for broader adoption by cattle producers grazing in relatively cold climates, including those of western Canada.

Background: Livestock keeping is one of the potential factors related to malaria transmission. To date, the impact of livestock keeping on malaria transmission remains inconclusive, as some studies suggest a zooprophylactic effect while others indicate a zoopotentiation effect. This study assessed the impact of livestock management on malaria transmission risks in rural Tanzania. Additionally, the study explored the knowledge and perceptions of residents about the relationships between livestock keeping and malaria transmission risks in a selected village. Methods: In a longitudinal entomological study in Minepa village, South Eastern Tanzania, 40 households were randomly selected (20 with livestock, 20 without). Weekly mosquito collection was performed from January to April 2023. Indoor and outdoor collections used CDC-Light traps, Prokopack aspirators, human-baited double-net traps, and resting buckets. A subsample of mosquitoes was analysed using PCR and ELISA for mosquito species identification and blood meal detection. Livestock's impact on mosquito density was assessed using negative binomial GLMMs. Additionally, in-depth interviews explored community knowledge and perceptions of the relationship between livestock keeping and malaria transmission risks. Results: A total of 48,677 female Anopheles mosquitoes were collected. Out of these, 89% were Anopheles gambiae sensu lato (s.l.) while other species were Anopheles funestus s.l., Anopheles pharoensis, Anopheles coustani, and Anopheles squamosus. The findings revealed a statistically significant increase in the overall number of An. gambiae s.l. outdoors (RR = 1.181, 95%CI 1.050-1.862, p = 0.043). Also, there was an increase of the mean number of An. funestus s.l. mosquitoes collected in households with livestock indoors (RR = 2.866, 95%CI: 1.471-5.582, p = 0.002) and outdoors (RR = 1.579,95%CI 1.080-2.865, p = 0.023). The human blood index of Anopheles arabiensis mosquitoes from houses with livestock was less than those without livestock (OR = 0.149, 95%CI 0.110-0.178, p < 0.001). The majority of participants in the in-depth interviews reported a perceived high density of mosquitoes in houses with livestock compared to houses without livestock. Conclusion: Despite the potential for zooprophylaxis, this study indicates a higher malaria transmission risk in livestock-keeping communities. It is crucial to prioritize and implement targeted interventions to control vector populations within these communities. Furthermore, it is important to enhance community education and awareness regarding covariates such as livestock that influence malaria transmission. [ABSTRACT FROM AUTHOR]

In this research article, an Internet of Things (IoT)-based sensor system is used to measure the weight of cattle. This system is composed of a load cell sensor, a microcontroller, and a wireless communication module. So the load cell sensor is placed under cow feet and a load cell sensor that will be measuring weight, will send this data to the microcontroller side where all unprocessed (just measured) cumulative loads of cattle become processed, filter out unnecessary results later on the wireless medium, transmission can be seen at server storage which implements cloud base. Specifically, we are designing the system to be cheap and low power (simple), but also simple to deploy over a variety of agricultural systems. Using the data to determine cattle growth, health, and feeding patterns can then allow the farmers to make a highly informed decision on how best to maximize their operations. This device allows farmers to track the health, and behavior of their cattle remotely alerting any unusual activity or potential health issues early on. Farmers can analyze the data generated by the system to provide better feeding and management of their livestock, ensuring that adequate nutrition and care are received. The other developed IoT technologies could also be combined with the system to create a comprehensive solution for precision livestock production. In conclusion, this proposed system could change the cattle industry by giving farmers crucial health and well-being information about their livestock. It can also help to make livestock farming more efficient and sustainable by enabling early detection of health problems as well as optimizing feeding, and management practices. Overall, there will be an advantage of using this recommended approach because it can improve the condition of animals, increase farm productivity, and promote environmentally friendly livestock production practices. [ABSTRACT FROM AUTHOR]

The agricultural sector is responsible for a significant proportion of global anthropogenic methane (CH4) emissions, with enteric CH4 produced from ruminant livestock representing approximately 28% of the total. The development of effective mitigation strategies necessitates the accurate and actionable monitoring of CH4 emissions. However, a considerable research gap remains concerning real-time monitoring techniques capable of supporting on-farm enteric CH4 mitigation strategies. To bridge this research gap, this study explores the current status of real-time enteric CH4 emission monitoring techniques and technologies for ruminants. The study achieves this by reviewing key biomarkers and proxies for ruminant emissions, examining established animal-based measurement techniques, exploring emerging technologies, and critically assessing technological limitations and opportunities. By shedding light on this research area, this study aims to assist stakeholders in developing a viable pathway for on-farm emission monitoring, with the hope of facilitating a meaningful reduction in GHG emissions from the livestock sector. [ABSTRACT FROM AUTHOR]

The forage-livestock balance is an important component of natural grassland management, and realizing a balance between the nutrient energy demand of domestic animals and the energy supply of grasslands is the core challenge in forage-livestock management. This study was performed at the Xieertala Ranch in Hulunbuir City, Inner Mongolia. Using the GRAZPLAN and GrazFeed models, we examined the forage-livestock energy balance during different grazing periods and physiological stages of livestock growth under natural grazing conditions. Data on pasture conditions, climatic factors, supplemental feeding, and livestock characteristics, were used to analyze the metabolizable energy (ME), metabolizable energy for maintenance (MEm), and total metabolizable energy intake (MEItotal) of grazing livestock. The results showed that the energy balance between forage and animals differed for adult cows at different physiological stages. In the early lactation period, although the MEItotal was greater than MEm, it did not meet the requirement for ME. MEItotal was greater than ME during midlactation, but there was still an energy imbalance in the early and late lactation periods. In the late lactation period, MEItotal could meet ME requirements from April-September. Adult gestational lactating cows with or without calves were unable to meet their ME requirement, especially in the dry period, even though MEItotal was greater than MEm. Adult cows at different physiological stages exhibited differences in daily forage intake and rumen microbial crude protein (MCP) metabolism, and the forage intake by nonpregnant cows decreased as follows: early lactation > mid-lactation > late lactation, pregnant cows' lactation > dry period. For the degradation, digestion and synthesis of rumen MCP, earlylactation cows were similar to those in the mid-lactation group, but both were higher than those in the late-lactation group, while pregnant cows had greater degradation, digestion, and synthesis of MCP in the lactation period relative to the dry period. For lactating cows, especially those with calves, grazing energy requirements, methane emission metabolism and heat production were highest in August, with increased energy expenditure in winter. Overall, grazing energy, methane emissions and heat production by dry cows were low. In the context of global climate change and grassland degradation, managers must adopt different strategies according to the physiological stages of livestock to ensure a foragelivestock balance and the sustainable utilization and development of grasslands. [ABSTRACT FROM AUTHOR]

Simple Summary: Subclinical mastitis is a common and economically significant disease that affects dairy sheep production. This study aims to develop and evaluate an advanced algorithmic approach that integrates thermal imaging, statistical texture analysis, and t-distributed stochastic neighbor embedding (t-SNE) to accurately detect subclinical mastitis in dairy sheep. This approach focuses on improving the accuracy and reliability of non-invasive subclinical mastitis detection by using more sophisticated algorithmic procedures than traditional temperature differential methods, thereby enhancing livestock management and animal health monitoring. Subclinical mastitis is a common and economically significant disease that affects dairy sheep production. Thermal imaging presents a promising avenue for non-invasive detection, but existing methodologies often rely on simplistic temperature differentials, potentially leading to inaccurate assessments. This study proposes an advanced algorithmic approach integrating thermal imaging processing with statistical texture analysis and t-distributed stochastic neighbor embedding (t-SNE). Our method achieves a high classification accuracy of 84% using the support vector machines (SVM) algorithm. Furthermore, we introduce another commonly employed evaluation metric, correlating thermal images with commercial California mastitis test (CMT) results after establishing threshold conditions on statistical features, yielding a sensitivity (the true positive rate) of 80% and a specificity (the true negative rate) of 92.5%. The evaluation metrics underscore the efficacy of our approach in detecting subclinical mastitis in dairy sheep, offering a robust tool for improved management practices. [ABSTRACT FROM AUTHOR]

Abstract This review outlines the current state of anthelmintic resistance (AHR) of gastrointestinal nematodes (GINs) among cattle in Argentina and Brazil, emphasizing the economic repercussions, animal health and welfare. The analysis explores factors associated with AHR and proposes a potential solution: the use of drug combinations. Both countries are grappling with a severe AHR scenario in cattle, having progressed through incipient, established, and advanced phases, leading to extreme cases of animal mortality due to ineffective control strategies. Genera such as Cooperia and Haemonchus have the highest reports of resistance, with Oesophagostomum radiatum also posing significant problems. While oral benzimidazoles and levamisole remain effective in most herds, moxidectin is entering an advanced resistance phase, and avermectins are increasingly deemed ineffective. The review explores the impact ofclimate, mixed grazing, animal movement and other husbandry practices, and the relationship between ectoparasite control and the emergence of resistant helminths. Notably, the discussion includes the strategic use of drug combinations as a valuable approach to address resistant GINs control in livestock, highlighting its significant potential to mitigate the challenges posed by AHR in the cattle industry of these countries.

The impacts of climate change on agricultural production are becoming more severe, leading to increased food insecurity. Adopting more progressive methodologies, like smart farming instead of conventional methods, is essential for enhancing production. Consequently, livestock production is swiftly evolving towards smart farming systems, propelled by rapid advancements in technology such as cloud computing, the Internet of Things, big data, machine learning, augmented reality, and robotics. A Digital Twin (DT), an aspect of cutting-edge digital agriculture technology, represents a virtual replica or model of any physical entity (physical twin) linked through real-time data exchange. A DT conceptually mirrors the state of its physical counterpart in real time and vice versa. DT adoption in the livestock sector remains in its early stages, revealing a knowledge gap in fully implementing DTs within livestock systems. DTs in livestock hold considerable promise for improving animal health, welfare, and productivity. This research provides an overview of the current landscape of digital transformation in the livestock sector, emphasizing applications in animal monitoring, environmental management, precision agriculture, and supply chain optimization. Our findings highlight the need for high-quality data, comprehensive data privacy measures, and integration across varied data sources to ensure accurate and effective DT implementation. Similarly, the study outlines their possible applications and effects on livestock and the challenges and limitations, including concerns about data privacy, the necessity for high-quality data to ensure accurate simulations and predictions, and the intricacies involved in integrating various data sources. Finally, the paper delves into the possibilities of digital twins in livestock, emphasizing potential paths for future research and progress.

Conventional method of counting animals is one of the most challenging tasks in livestock management; moreover, counting of animals in drone-acquired imagery, though promising, is more challenging in intelligent livestockmanagement. In this paper, we apply state-of-the-art object detection model, Mask YOLOv7, for detection and counting of cattle in different scenarios such as in controlled (feedlot) environment and uncontrolled (open-range) environment. Mask mechanism was embedded into the backbone of the YOLOv7 algorithm (Mask YOLOv7) for instance segmentation of individual cattle object. We evaluate the performance of the model proposed in this study using Intersection over Union threshold of 0.5, average precision (AP), and mean average precision. The results of the experiment conducted in this study show that the proposed model achieves an accuracy of 93% in counting cattle in controlled environment and 95% in uncontrolled environment. These results affirm the potential of the model, Mask YOLOv7, to perform competitively with any other existing object detection and instance segmentation models in terms of accuracy and AP especially when the speed of object detection matters. Moreover, the research has potential applications in livestock inventory, which helps in tracking, monitoring, and reporting vital information about individual cattle. [ABSTRACT FROM AUTHOR]

This research article focuses on the evolution of a Mediterranean landscapes and the intricate interplay between natural and human-induced processes in the context of the Italian Anti-Apennine mountains. The study employs a multi-temporal approach to analyze changes in land use and landscape ecology, livestock activities, and agro-pastoral practices over seven decades. We noted a 18% decrease in animal units, particularly in goat and pig farming, accompanied by a 10% reduction in horse populations. Farmers' adaptation strategies involve increasing animals per farm, aligning with broader agricultural trends toward intensification and specialization. In parallel, we observed a 22% reduction in grassland surfaces juxtaposed with an overall 15% increase in woodlands and shrublands, a 13% decreasing trend in habitat edge, and an overall 18% increase in patches aggregation at the landscape scale. The decline in anthropogenic pressures linked to depopulation triggered secondary successions, resulting in a 25% increase in homogeneous closed woodlands. These landscape alterations contribute to a 19% decrease in ecosystem heterogeneity and complexity, favoring ecological connectivity for forest-linked species but posing challenges for open meadow species. This, coupled with the loss of biocultural heritage, including traditional settlements dating back to the Bronze Age and Roman times, as well as pastoral traditions and knowledge, underscores the need to rethink future development strategies with a focus on retaining younger generations and preventing the loss of crucial ecosystem services. [ABSTRACT FROM AUTHOR]

This study investigates the management practices and technological processes within beef cattle farms in the North-East region of Moldova, focusing on six distinct farms. Analyzing data from these farms, encompassing a total of 1838 cattle, revealed notable disparities in animal stock, labor force, and forage cultivation areas. Additionally, diverse housing systems, waste disposal methods, and breeding practices were identified. Noteworthy results include Farm F5's effective waste management strategies and Farm F6's adoption of advanced breeding techniques. These findings underscore the necessity of tailoring management approaches to individual farm contexts to optimize operational efficiency and productivity. By providing actionable insights, this research contributes to ongoing efforts aimed at improving beef cattle farming practices in the region and fostering sustainable agricultural development. [ABSTRACT FROM AUTHOR]

In this paper, some indicators covering milk production, weight gain and feeding efficiency are studied, such as the duration of lactation, total amount of milk, daily amount of milk, percentage of fat, protein, lactose in milk, for a representative sample taken from S.C.D.A Simnic. In the first part, a descriptive statistical analysis is made of the indicators in the zootechnical field presented, followed by econometric methods regarding confidence intervals for the average of the entire population, at a threshold of 5%. Also, the correlation matrix between the indicators is analyzed and three validated linear regression models are presented with the interpretation of the results. These results help to optimize management in the zootechnical field by making decisions based on quantitative analyses. [ABSTRACT FROM AUTHOR]

The correction notice in the journal "Frontiers in Veterinary Science" addresses an error in Figure 5 of the article "Simulation of the nutritional requirements and energy balance of adult cows in a northern temperate grassland." The figure was a duplicate of Figure 6, and the corrected version is provided. The authors acknowledge the mistake but clarify that it does not impact the scientific conclusions of the study. The original article has been updated to reflect this correction. [Extracted from the article]

The agricultural sector is responsible for a significant proportion of global anthropogenic methane (CH4) emissions, with enteric CH4 produced from ruminant livestock representing approximately 28% of the total. The development of effective mitigation strategies necessitates the accurate and actionable monitoring of CH4 emissions. However, a considerable research gap remains concerning real-time monitoring techniques capable of supporting on-farm enteric CH4 mitigation strategies. To bridge this research gap, this study explores the current status of real-time enteric CH4 emission monitoring techniques and technologies for ruminants. The study achieves this by reviewing key biomarkers and proxies for ruminant emissions, examining established animal-based measurement techniques, exploring emerging technologies, and critically assessing technological limitations and opportunities. By shedding light on this research area, this study aims to assist stakeholders in developing a viable pathway for on-farm emission monitoring, with the hope of facilitating a meaningful reduction in GHG emissions from the livestock sector.

African wildlife populations are declining at an alarming rate. To stop further population declines and restore ecosystems, more areas for wildlife are needed. Community‐based conservation with wildlife‐livestock coexistence in the vast rangelands of Africa presents a major opportunity. However, the efficacy of wildlife conservation in mixed land‐use areas remains an outstanding question. To assess the ecological outcomes of land‐sharing between regulated livestock herds and wildlife populations in African savannas, we test how rotational cattle grazing affects spatiotemporal dynamics of 15 large herbivore species in the Maasai Mara, Kenya.First, we tested how wild herbivore distributions across the Greater Mara Ecosystem (the Mara, ~2600 km2) are related to cattle density and environmental variables using 584,561 observations of wild herbivores (ecosystem scale). In a second analysis, we tested how rotational cattle grazing affects wild herbivore distributions in a 300 km2 subsection of the Mara using 30,583 observations (landscape scale). Finally, we tested how functional traits of wild herbivores affect species‐level spatiotemporal responses to cattle grazing.At the ecosystem scale, the presence of five wild herbivore species was positively correlated with cattle density, while cattle effects on wild herbivore abundances were species‐dependent with both increases and decreases. At the landscape scale, rotational cattle grazing strongly impacted the spatiotemporal habitat selection of wild herbivores, resulting in distinct lag periods with which different species are attracted to areas previously grazed by cattle. These lag periods were linked to functional traits, with body mass and herd size explaining 35% of the interspecific differences. Small to medium‐sized herbivores with large herds select areas recently grazed by cattle, whereas large species with large herd sizes and small species with small herd sizes avoid recently grazed areas.Synthesis and applications: Our results revealed that the effect of cattle on wild herbivores varies considerably among species, suggesting that cattle‐wildlife interactions range from facilitation to competition. To maintain species that strongly avoid cattle, designated livestock‐free zones remain essential, also in rotational grazing systems. Rotational grazing systems with regulated livestock densities present an important opportunity to better manage wildlife‐livestock coexistence and thus improve wildlife conservation in African rangelands. [ABSTRACT FROM AUTHOR]

The functions of non-agricultural crops unearthed from archaeological sites mainly pertain to their usage as livestock feed. However, the studies of livestock feed have predominantly relied on qualitative analysis, which often lacks descriptive objectivity and relies heavily on subjective feelings and experiences. In this paper, we aim to address this gap by focusing on quantitative analysis, utilizing macro-plant remains from the data of seventy-five archaeological settlements and one archaeological investigation in northern China spanning the Neolithic Age to the Bronze Age, as well as stable isotope analyses of carbon and nitrogen. This research delves into various aspects, including the exploration of the plant resources and livestock farming and the categorization of feed types for cattle and pigs in captivity. By employing quantitative analysis, we can gain a more comprehensive and objective understanding of these subjects. This approach aligns with studies on ancient livestock management and feed diversity. In essence, the discussion of civilization development and social changes during the Pre-Qin period holds significant value when considering forage analysis, just as crop analysis has proven insightful. By focusing on the quantitative analysis of non-agricultural crops and their role as livestock feed, we can shed light on important aspects of ancient societies and their agricultural practices. [ABSTRACT FROM AUTHOR]

Proper management of livestock invariably includes sustainable methods of reusing their manure. Considering the global scenario of animal manure handling and the need for sustained agricultural production, there is clear lack of a focused approach in achieving the environmental and economical resilience in small-scale farms. Present study reviews the possibility of employing co-composting as a suitable technology for safe and effective handling of animal manure along with other wasted materials of organic nature. The review identifies the scope of effective co-composting using different mixtures of manure, greens and bulking agents to achieve required stability and nutrient content of the product. The study highlights the state of the art in terms of (i) carbon and nitrogen transformation after composting, (ii) challenges in preparing ambient conditions, and (iii) feedstock selection to optimize the mix proportions. The study also highlights the challenges in preparation and application as well as the risks involved in handling emerging contaminants (toxins) such as hormones and antibiotics in manure in producing good quality compost, thereby breaking the chain of their reentry to the food cycles. The results of the study would impart sound technological interventions required to make the best use of animal manure compost in low fertile soils. [ABSTRACT FROM AUTHOR]

The techniques of agriculture and animal husbandry at Tell Humeida, a Middle Uruk Period (Late Chalcolithic) site on the middle Syrian Euphrates, were studied using stable isotopes of bone collagen of domestic and wild mammals and from cereal and ruderal plant seeds. Two archaeological campaigns in 2009 and 2011 yielded a small collection of bones, most of which were taxonomically indeterminable. The work had to be interrupted due to the political conflict. The faunal study comprised collagen peptide fingerprinting for taxonomic identification, followed by isotopic analysis. Multiple 14C dating were performed to date the infill to around 3600 cal BC. An isotopic analysis of the sparse plant remains suggested that irrigation and manuring were common practices. Sheep and equids predominated in the faunal assemblage. Sheep grazed on manured soils, and their diet could include millet or another C4 plant, of which, however, no carpological remains were found. The diet of equids differed from that of sheep but also that of other wild ungulates (cervids/gazelles). Their isotopic signatures indicated that they grazed in humid areas, near the watercourse. These finds indicated a settlement that was closely linked to the availability of water, which made it possible to grow crops in an almost desert-like area, and the rearing of sheep. [ABSTRACT FROM AUTHOR]

During the last decades, Alnus viridis has expanded over former montane pastures and meadows, due to land use and abandonment. This nitrogen-fixing woody species has triggered negative agro-environmental impacts, such as nitrogen (N) leaching, soil acidification and a reduced biodiversity. The aim of this study was to estimate the N translocation from A. viridis-encroached areas to adjacent open pastures by Highland cattle. In 2019 and 2020, Highland cattle herds equipped with GPS collars were placed in four A. viridis-encroached paddocks across Italy and Switzerland. The N content was measured in A. viridis leaves, herbaceous vegetation, and cattle dung pats, which were collected throughout the grazing season. Using GPS locations and collar activity sensors, livestock activity phases were discriminated. The N ingested by cattle was estimated through the N content of herbaceous vegetation and A. viridis leaves of vegetation patches visited by cattle during 24 h before dung sampling (N24H). The N content of herbaceous vegetation significantly increased with increasing A. viridis cover. The average N content in dung pats (31.2 ± 3.4 g.kg−1 DM) was higher than average values from literature on grazing cattle. Moreover, it was positively related to the N24H. Most of this N (29.5 ± 10.3 kg ha−1 yr−1) was translocated towards resting areas, which generally occurred on flat open pastures. Our results highlight the potential of Highland cattle to effectively translocate part of the ingested N from A. viridis-encroached towards targeted open areas, thus bringing new perspective for forage yield and quality improvement in the long-term. [ABSTRACT FROM AUTHOR]

This research article focuses on the evolution of a Mediterranean landscapes and the intricate interplay between natural and human-induced processes in the context of the Italian Anti-Apennine mountains. The study employs a multi-temporal approach to analyze changes in land use and landscape ecology, livestock activities, and agro-pastoral practices over seven decades. We noted a 18% decrease in animal units, particularly in goat and pig farming, accompanied by a 10% reduction in horse populations. Farmers’ adaptation strategies involve increasing animals per farm, aligning with broader agricultural trends toward intensification and specialization. In parallel, we observed a 22% reduction in grassland surfaces juxtaposed with an overall 15% increase in woodlands and shrublands, a 13% decreasing trend in habitat edge, and an overall 18% increase in patches aggregation at the landscape scale. The decline in anthropogenic pressures linked to depopulation triggered secondary successions, resulting in a 25% increase in homogeneous closed woodlands. These landscape alterations contribute to a 19% decrease in ecosystem heterogeneity and complexity, favoring ecological connectivity for forest-linked species but posing challenges for open meadow species. This, coupled with the loss of biocultural heritage, including traditional settlements dating back to the Bronze Age and Roman times, as well as pastoral traditions and knowledge, underscores the need to rethink future development strategies with a focus on retaining younger generations and preventing the loss of crucial ecosystem services.

Rangeland livestock operations in California and elsewhere are increasingly turning to livestock guardian dogs (LGD) to protect their herds from predators. LGD success depends on a variety of factors including social bonding, environmental and operational context, and individual behaviors. Observation and first-hand experience with LGD on foothill rangeland, Sacramento Valley cropland, and Sierra Nevada/Great Basin rangeland can provide practical evaluation of historic and current research regarding LGD efficacy, breed differences, and economic costs versus benefits. However, little is known about the relationship between LGD and livestock behavior and forage utilization. This article synthesizes current research, experiential knowledge from practitioners, and new frontiers for LGD research. An updated understanding of the principles of bonding LGD pups to livestock will improve LGD success rates and reduce costs for producers.

The transformation of forests into agricultural and livestock systems negatively affects the ecological dynamics and the ecosystem services provided by different groups of insects, including dung beetles, which stand out for their importance in recycling livestock dung. Since the 1980s, farmers in different regions of the world have been using Ivermectin to control parasites that affect cattle. The main route of elimination of this molecule and its metabolites is through manure, which affects the richness, abundance, and biomass of dung beetles when they use dung from treated animals. To quantify this effect, we carried out an experimental design in the field in the Colombian Caribbean, where nine cattle farms were evaluated, of which three were taken for each of the different cattle management practices most used in the region: (i) Ivermectin not applied, (ii) two doses of Ivermectin at 1% applied per year and (iii) two doses of Ivermectin at 3.15% applied per year. To assess the richness, abundance, biomass, and functional groups of dung beetles, during the dry and wet seasons, 30 pitfall traps were baited on each farm with fresh cattle manure with the same management doses described above. A total of 25,441 individuals belonging to 19 genera and 30 species were collected. The richness, abundance, and biomass of beetle assemblages decreased along the gradient represented by management without using Ivermectin and management where Ivermectin was used. Paracoprid beetles were the functional group that was most negatively affected in cattle farms with Ivermectin use. In cattle farms where Ivermectin was not used, there was a greater diversity and higher functional structure of dung beetle assemblages than in those where this veterinary medicinal product was used. Using Ivermectin generates short- and long-term effects on the richness, abundance, biomass, and functional groups of dung beetles in livestock systems in the Colombian Caribbean. Therefore, we suggest using integrated treatment management to prevent the recycling fauna from being affected. [ABSTRACT FROM AUTHOR]

Livestock depredation by brown bears is one of the main source of human–wildlife conflict in rural Eastern Europe. Thus, identifying environmental and anthropogenic drivers of human–bear conflict, and developing spatial predictions for predation intensity are critical to mitigate such conflicts. We used 756 records of bear‐caused livestock predation collected between 2008 and 2016 in the Romanian Carpathians and evaluated predictors and spatial distribution of bear livestock predation events (BPEs) using separate binomial generalized linear mixed models for cows, sheep, and other livestock. Despite differences in the direction and magnitude of the effect, the prevalence of BPE for all livestock was driven by the interaction between environmental drivers along with relative bear abundance. Distance from forest was a strong negative predictor for cows and sheep, while distance to villages was a strong negative predictor for cows. Landscape heterogeneity was positively associated with cow and other livestock predation and negatively associated with sheep. Relative bear abundance data collected by wildlife managers was a positive predictor for predation on all livestock. Livestock damage was more prevalent near villages, showcasing plasticity of food resources sought by bears. Our work informs brown bear and livestock management strategies to develop awareness and implement damage prevention measures. [ABSTRACT FROM AUTHOR]