Livestock Management Practices Research Articles

Prey-carrying behavior of Lycalopex foxes in Chilean Patagonia

This study examines prey-carrying behavior in culpeo (Lycalopex culpaeus) and chilla (L. griseus) foxes within Chilean Patagonia's sheep farming lands. We used camera traps to register prey transportation. This behavior was more frequent during the reproductive season compared to the non-reproductive season, suggesting an association with pup-rearing activities. The presence of livestock guardian dogs and other predation control measures may also influence prey-carrying behavior, particularly in L. culpaeus, as foxes might adjust their activities in response to perceived risks. This research provides initial evidence of prey transport in these fox species and highlights the need for further study to understand its ecological implications and interactions with livestock management practices.

Exploring the rumen microbial function in Angus bulls with divergent residual feed intake

This study leverages Shotgun metagenomics to assess the rumen microbial community and functionality in Angus bulls with differing residual feed intake-expected progeny difference (RFI-EPD) values, aiming to elucidate the microbial contributions to feed efficiency. Negative RFI-EPD bulls (NegRFI: n=10; RFI-EPD= -0.3883 kg/d) and positive RFI-EPD bulls (PosRFI: n=10; RFI-EPD=0.2935 kg/d) were selected from a group of 59 Angus bulls (average body weight (BW) = 428 ± 18.8 kg; 350 ± 13.4 d of age) fed a high-forage total mixed ration after a 60-d testing period. At the end of the 60-d period, rumen fluid samples were collected for bacterial DNA extraction and subsequent shotgun metagenomic sequencing. Results of the metagenome analysis revealed greater gene richness in NegRFI bulls, compared to PosRFI. Analysis of similarity revealed a small but noticeable difference (P =0.052; R-value = 0.097) in the rumen microbial community of NegRFI and PosRFI bulls. Linear Discriminant Analysis effect size (Lefse) was utilized to identify the differentially abundant taxa. The Lefse results showed that class Fibrobacteria (LDA = 5.1) and genus Fibrobacter (LDA = 4.8) were greater in NegRFI bulls, compared to PosRFI bulls. Relative abundance of the carbohydrate-active enzymes was also compared using Lefse. The results showed greater relative abundance of glycoside hydrolases and carbohydrate-binding modules such as GH5, CBM86, CBM35, GH43, and CBM6 (LDA > 3.0) in NegRFI bulls whereas GH13 and GT2 were greater in PosRFI bulls. The distinct metabolic and microbial profiles observed in NegRFI, compared to PosRFI bulls, characterized by greater gene richness and specific taxa such as Fibrobacter, and variations in carbohydrate-active enzymes, underscore the potential genetic and functional differences in their rumen microbiome. These findings contribute to a deeper understanding of the interplay between rumen microbiota and feed efficiency in Angus bulls, opening avenues for targeted interventions and advancements in livestock management practices.

Prevalence and Associated Risk Factors of Brucella abortus and Brucella melitensis in Humans and Cattle Populations: A Comprehensive Study

A zoonotic disease unique to South Asia, brucellosis causes major public health and financial problems, notably in Pakistan. This research aimed to ascertain the molecular frequency of Brucella abortus and Brucella melitensis in humans and cattle and to pinpoint related risk factors in the Southern Khyber Pakhtunkhwa, Pakistan, districts. A total of 800 blood samples, 600 from cattle and 200 from humans, were gathered and examined using traditional PCR targeting the IS711 locus. In humans, the molecular frequency of Brucella melitensis and Brucella abortus was 16.5%; in cattle, it was 9.1%. Risk factor analysis in cattle revealed that seasonality, geographic location, sex, and insemination method significantly impacted brucellosis prevalence· Higher risk was observed in female cattle, those naturally inseminated, and during the summer months, particularly in regions such as Bannu· In humans, univariate logistic regression identified potential risk factors, including age (25–50 years), rural residency, lower socioeconomic status, female gender, direct contact with animals, and consumption of raw animal products. However, none of these factors reached statistical significance. The findings underscore the importance of continuous surveillance and targeted preventive measures to control brucellosis transmission between cattle and humans. Understanding the molecular prevalence and risk factors can guide public health strategies and improve livestock management practices to mitigate this zoonotic disease.

Field Assessment of Major Livestock Diseases and Health Management Practices in Assosa Zone Areas

A preliminary disease survey in livestock and health management practices comprising cattle, goats, and poultry was undertaken. This study was conducted to identify livestock diseases, determine the method of diagnosis, and evaluate the disease management system within the period of 2020 to 2022. A semi-structural questionnaire was developed. 86 animal owners, who have large number of animals, participated in three districts Assosa, Bambasi, and Homosha each consisting of 52, 18, and 16 respondents respectively. The mean average number of cattle, goats, and poultry per farm was 10.1, 10.8, and 2003.3 in that order. According to respondents 93% of tell us the first disease was trypanosmiasis, followed by parasites 70.9%. Newcastle disease 75.6% of respondents was the most common disease in poultry, and Peste des petites ruminants (46.5% of respondents) was the most common in small ruminants. Most respondents explained that there was low satisfaction in veterinary supply. In Homosha, Assosa and Bambasi district identification of diseases diagnosis only by clinical sign was 100%, 80.7% and 33.3% respectively. Season of outbreak vary according to diseases type and infected species. The majority of goat and sheep outbreaks occurred in the winter (keremt) and autumn, but cattle outbreaks were prevalent in the spring followed by summer (bega). The total morbidity was 16.8% and total mortality was 7.1%. In Bambasi, the average morbidity was 2.8% and average mortality was 0.1%. The morbidity in Homosha was 62.5% and mortality was 26.1%. In Assosa districts the morbidity was 7.6% and mortality 3.7%. The morbidity of cattle was 13.2% and mortality was 5.5%. The morbidity of goat was 51.7% and mortality was 23.3 %. The morbidity in poultry farms was 26.8% and mortality 11.2%. This Study revealed that there were different disease outbreaks in the Assosa zone and management in livestock Production is poorly practiced. This is the greatest threat to livestock production and productivity. Therefore, preventive measures should be taken to sustain livestock health.

187 Exploring deep shotgun sequencing to understand the rumen microbial function in Angus bulls with divergent RFI EPD

Abstract We investigated the rumen microbiome of Angus bulls selected for Residual Feed Intake-Expected Progeny Difference (RFI-EPD) utilizing deep shotgun metagenomic sequencing. Negative RFI-EPD bulls (NegRFI: n = 10; RFI-EPD = -0.3883 kg/d) and Positive RFI-EPD bulls (PosRFI: n = 10; RFI-EPD = 0.2935 kg/d) were selected from a group of 59 Angus bulls [average body weight (BW) = 427.81 ± 18.77 kg] fed a high-forage total mixed ration after a 59-d testing period. At the end of the 59-d period, rumen fluid samples were collected for bacterial DNA extraction and subsequent shotgun metagenomic sequencing. Results of the metagenome analysis revealed greater gene richness in NegRFI bulls compared with PosRFI. Analysis of similarity revealed a significant difference (P = 0.05) in the rumen microbial community between the NegRFI and PosRFI. Linear Discriminant Analysis effect size (Lefse) was used to identify the differentially abundant taxa. The Lefse results showed that class Fibrobacteria (LDA = 5.1) and genus Fibrobacter (LDA = 4.8) were the most differentially enriched markers in NegRFI bulls, compared with PosRFI bulls. Relative abundance of the carbohydrate-active enzymes was also compared using lefse analysis. The results showed greater relative abundance of glycoside hydrolases and carbohydrate-binding modules such as GH5, CBM86, CBM35, GH43, and CBM6 (LDA > 3.0) in NegRFI bulls whereas GH13 and GT2 were greater in PosRFI. The distinct metabolic and microbial profiles observed in NegRFI, compared with PosRFI bulls, characterized by greater gene richness and specific taxa such as Fibrobacter, and variations in carbohydrate-active enzymes, underscore the potential genetic and functional differences in their rumen microbiome. These findings contribute to a deeper understanding of the interplay between host genetics, microbiota, and feed efficiency in Angus bulls, opening avenues for targeted interventions and advancements in livestock management practices.

Assessing the Effects of Drought on Livestock Farming Livelihoods in Western Odisha: A Study of Drought and Non Drought Years

The irregular climatic variation, which is causing drought, flood, cyclone, etc., across the globe is increasingly affecting the livestock rearing leading to great distress to livestock farmers financially, socially and economically during the above periods [1,2]. Drought is a recurring phenomenon in Western Odisha, posing significant threats to the livelihoods of livestock farmers. This study investigates the effects of drought on the livelihoods of livestock farmers in the region, exploring the socio-economic and environmental implications. A mixed-methods approach was employed, combining surveys, interviews, and focus group discussions with 72 livestock farmers. Results show that drought leads to reduced livestock productivity, decreased income, and diminished food security. Farmers' coping strategies, such as distress sales of assets and migration, exacerbate their vulnerability. The study highlights the need for drought-specific livestock management practices, improved access to credit and insurance, and enhanced extension services to support climate-resilient livelihoods. The study further revealed that animal rearing in the drought affected areas provides a sense of food security, social status and ability to meet the expenses in social rituals. By understanding the impact of drought on livestock farmers' livelihoods, this research aims to inform targeted interventions to enhance their resilience and adaptive capacity. Therefore, the Government of Odisha may initiate serious efforts to promote animal husbandry activities in these districts to support the farmers to negate the adverse impact of drought and to check the distress migration from these districts during the drought period. Policy recommendations include integrating livestock support into drought relief programs and promoting water harvesting and conservation practices.

Characteristics of air-borne and feces-borne ARGs and microbial community in different livestock farms in China

Livestock farms are hotspots of antibiotic resistance due to the intensive use of antibiotics, in which the characteristics of air-borne and feces-borne antibiotic resistance genes (ARGs) and microbial communities are of great significance. This study delves into the distribution of ARGs and microbial communities across various livestock farms in China, and the correlation of microorganisms between livestock farms and other global environments was investigated. The concentrations of ARGs and mobile genetic elements (MGEs) in air samples were basically at the same level, but those in fecal samples collected from chicken farms were universally higher than those in pig and cattle farms. There was significant ability of ARGs to spread easily among different bacteria in all samples in livestock farms. Additionally, there may be more possible host bacteria of airborne ARGs in chicken farms. In the global-scale analysis of highly similar microbial communities, the database matching with the highest number of similarities to microbial communities collected from livestock farms is genes related to human sources (54.8%). This study advances our understanding of ARG dynamics in different livestock farms and contributes to the development of sustainable livestock management practices.

Sustainable Livestock Management Practices: Balancing Productivity and Environmental Health

Sustainable Livestock Management Practices: Balancing Productivity and Environmental Health

Integrated nexus approach to assessing climate change impacts on grassland ecosystem dynamics: A case study of the grasslands in Tanzania

This study addresses the intricate interplay between climate, vegetation, and livestock dynamics in Tanzania within the Climate-Vegetation-Livestock (CVL) nexus through a quantitative assessment. By examining the temporal and spatial relationships between vegetation indices (NDVI, EVI, NPP) and key climatic variables (Precipitation, Temperature, Evapotranspiration) from 2009 to 2019, and projecting to 2050, this research aims to elucidate vegetation responses to climate change and its subsequent impacts on livestock. To this end, the relationship between the vegetation dynamics indicators (NDVI, NPP) and climate parameters is evaluated to quantify the vegetation response to climate change using statistical models. Next, an examination of multicollinearity is conducted to investigate potential interactions (nexus) between variables, incorporating the correlation among independent variables. Notably, the evaluation of performance and accuracy for the mentioned models is conducted through the cross-validation method and validation indices. Ultimately, the variation between projected NPP and NDVI (average for 2040–2060) and the present NPP and NDVI (average for 2009–2020) identifies the regions that are most likely susceptible, showcasing the vegetation cover's reaction to climate change in different emission scenarios. The results unveil significant spatio-temporal variations in vegetation dynamics influenced by climatic factors, where higher precipitation and temperatures correlate with increased vegetation health and productivity. The projected fluctuations in NDVI and NPP values indicate varying trends across different regions, with a general decrease in vegetation density and productivity from the northeast to the west under both RCP2.6 and RCP8.5 scenarios by 2050. This decline is attributed to anticipated changes in precipitation and temperature patterns driven by climate change. Furthermore, significant declines in vegetation density and productivity under emission scenarios, particularly in the southern regions compared to the present, suggest greater vulnerability to climate change impacts. This highlights the need for targeted mitigation strategies in these vulnerable areas. Meanwhile, northeast areas under both NDVI and NPP will remain unchanged across both climate scenarios. Moreover, analysis of livestock distribution maps indicates areas of vulnerability under climate change scenarios, with implications for future livestock management and agricultural practices. These findings underscore the importance of proactive planning and targeted interventions to enhance resilience and sustainable development in vulnerable regions, emphasizing the need for integrated approaches that consider the complex interactions between climate, vegetation, and livestock dynamics.

A Dynamic Tool to Describe Lamb Growth and Its Use as a Decision Support System.

A dynamic model has been developed to simulate aspects of feedlot lamb growth and body composition, including energy and protein requirements, growth rate, composition of gain, and body mass. Model inputs include initial body mass (kg), standard final mass (kg), age (days), and dietary energy concentration (Mcal·kg-1). The model was assessed as a decision support tool using a dataset of 564 individual measures of final body mass and diet energy. The simulations provide graphical and numerical descriptions of nutrient requirements, composition of gain, and estimates of animal performance over time. The model is accurate and precise, with a root mean squared error of 7.79% of the observed final body mass and a coefficient of determination of 0.89 when simulating the same variable. The model can be used as a reliable decision support tool to estimate final body mass and the days on feed required to reach a certain final mass with precision and accuracy. Moreover, the dynamic model can also serve as a learning tool to illustrate practical principles of animal nutrition, nutrient requirement relationships, and body composition changes. This model holds the potential to enhance livestock management practices and assist producers in making informed decisions about feedlot lamb production.

39 Effects of feeding sun-dried bovine rumen contents on growth and carcass quality of New Zealand White rabbits

This research study aimed to investigate the impact of sun-dried bovine rumen contents (SDBRC) on the growth and linear body measurements of New Zealand White rabbits. The experimental rabbits (n=12) were selected from four New Zealand White bucks and subsequently allocated into three distinct treatments, each with specific dietary compositions. The control group was provided with a standard diet of rabbit pellets, while the experimental groups received rabbit pellets supplemented with 30% (Treatment A) and 40% (Treatment B) of SDBRC. All animals were subjected to consistent and meticulous livestock management practices throughout the 12-week experimental period. There were no significant differences in the growth of rabbits given rabbit pellets and 30% SDBRC. However, the live weight gain and final weights of rabbits on 40% SDBRC inclusion were significantly lower than the 30% SDBRC inclusion and the control (P<0.05). Parameters, such as total feed intake, feed conversion ratio, and dressing percentage were not significantly different (P>0.05). The linear body measurements (heart girth, body length, and abdominal circumference), were not significantly (P>0.05) influenced by dietary variations. Carcass weight for the rabbits on 40% SDBRC inclusion was significantly lower than for rabbits on the control and 30% SBDRC inclusion diets (p=0.001). Other carcass parameters such as meat colour and pH exhibited no significant differences across all three treatments (p>0.05). These findings highlight the promising potential of incorporating SDBRC into rabbit diets, particularly up to 30%, without compromising growth performance and carcass characteristic.

Lighting up mountain coexistence: Understanding the effects of environment and livestock on habitat use by Andean bear in a conflict zone in Peruvian Andes

In Tropical Andes, livestock predation is the main cause of conflict between Andean bears (Tremarctos ornatus) and humans. In central Peru, the small village of San Pedro de Churco, located in buffer zone of Pampa Hermosa National Sanctuary, has experienced a conflict with Andean bears since 2013 due to the livestock depredation of cattle. To create a baseline for formulating mitigation measures, we seek to analyze which environmental and anthropogenic characteristics best explain the habitat use by the Andean bear in this conflict region. Using camera traps, transects, and occupancy modeling, we distributed 16 sampling units in the conflict area from May 2019 to November 2020. We collected seven variables: slope, forest cover, the occurrence of Puya bromeliads, livestock abundance, distance from S.P. Churco village, distance to trails, and rainfall. We expected that variables linked to food resources would have a large explanatory weight (w+) positively on habitat use by the Andean bear, while anthropogenic variables would have a negative impact on the species’ habitat use due to disturbances caused by human activity. Our results demonstrated the importance of maintaining the cloud forests (w+=0.61) and the high-Andean grasslands with Puya (w+=0.66) for the establishment of the Andean bear in conflict areas, in addition to the effect of seasonality (w+=0.63) on the use of different habitats and the resource availability for the species. However, the presence of abundant livestock (w+=-0.64) may be causing the displacement of bears, negatively impacting the availability of their habitats in conflict zones. The habitat use rate by bears across the study area was 0.69 with a detectability of 0.15, and we identified six individuals through the body marks. Based on the results and the conflict landscape, we mapped the focal areas sampling with the greatest potential for livestock depredation by Andean bears and the implications for management and coexistence. Measures that conserve cloud forests and the Puya grasslands, as well as more sustainable and profitable livestock management practices can be prioritized to reduce human-bear conflict in the region.

Optimizing the water-ecosystem-food nexus using nature-based solutions at the basin scale

The water ecosystem food (WEF) nexus duly acknowledges the complex interdependencies among water, ecosystems, and food production, underscoring nature based solutions (NBS) as an efficacious strategy for navigating these interconnections. In this research, four different NBS (terraces, riparian forest, livestock management and agro ecological practices) were assessed in terms of their impact to WEF nexus. The Karst-SWAT and the one-dimensional integrated critical zone (1D-ICZ) models were used to simulate the impact of NBS on water quantity and quality as well as on soil ecosystem services of Koiliaris River Basin, which serves as an illustrative example of a basin that has experienced severe soil and biodiversity degradation. The Karst-SWAT model showed that a combination of NBS of terraces and riparian forest can reduce soil erosion and the sediment load by 97%. The 1D-ICZ model successfully simulated the soil-plant-water system and showed that agro ecological practices affect biomass production, carbon and nutrient sequestration, soil structure and geochemistry.

A Comprehensive Perception of Biological Control Potential of Endophytes and Quality Refinement of Lagenaria siceraria.

Agriculture and livestock management practices known as organic farming rely more on internal processes than external inputs. Natural environments depend heavily on diversity, and organic farming incorporates both the stated purpose of fostering diversity as well as the use of diversity as a management tool. A more complete understanding of agriculture in terms of agro-ecology has begun to be questioned by the traditional reductionist approach to the study of agriculture. Therefore it is necessary to be aware more about the significance of microbes in processes including soil growth, plant nourishment, and the eradication of plant disease, pest, and weeds. In this study, fluorescent Pseudomonas strain (EFP56) and Trichoderma harzianum were studied for antifungal and antibacterial activity against four common root rot fungi and four common laboratory bacteria in vitro experiments. Furthermore, soil-borne disease surveillance and nutritional quality of Lagenaria siceraria, fluorescent Pseudomonas strain (EFP56) and Trichoderma harzianum were combined with neem cake and cotton cake to check their efficacy. Through the application of organic soil amendments in combination with biocontrol agents improved the quality of vegetables and their nutritional value by raising their polyphenol, carbohydrate, and protein content as well as enhancing antioxidant scavenging status. The experiments were conducted in pots and in fields to confirm their efficacy rate. The final outcomes also revealed greater induction of defense system, disease lessening and enriched fruit quality. Consortium of neem cake and cotton cake with bio-stimulants can regulate biotic as well as abiotic stress.

The Influence of Agricultural Learnership Programme on Graduates’ Job Prospects

Purpose: This study aims to scrutinise the effectiveness of the agricultural learnership programme at Owen Sitole College of Agriculture, focusing on the perspectives of its graduates. By exploring their experiences, the study seeks to uncover the strengths and weaknesses of learnership training. The primary goal is to assess graduates’ satisfaction with the program, its impact on their employability, the practical skills acquired, and its relevance to their current employment. Study design/methodology/approach: 42 participants were recruited for the study, and their demographic characteristics, including gender and age distribution, were analysed. Employing a mixed-method approach, the study aimed to gather comprehensive insights into participants’ experiences and perceptions of the agricultural learnership program. Findings: The findings revealed that 82.1% of the participants reported satisfaction with the agricultural learnership program at Owen Sitole College of Agriculture, highlighting its effectiveness in addressing the skill development needs of unemployed youth. However, only 56.1% of the graduates secured employment upon completion, indicating potential improvement in job placement outcomes. While most graduates gained practical experience in business skills, livestock management, and routine agricultural practices, some participants expressed the need for a stronger emphasis on acquiring professional and experiential skills. Based on the study’s outcomes, it is recommended that the program undergo tailored adjustments to better align with the specific needs of recipients, ensuring a more impactful and relevant agricultural skills development learnership training at Owen Sitole College. Originality/value: The insightful recommendations offered in this study have the potential to guide policymakers in making informed decisions, leading to improved outcomes for the targeted population involved in the learnership development. Additionally, the study contributes valuable information to the existing body of literature and can serve as a foundation for future agricultural research endeavours.

A Novel Active RFID and TinyML based system for livestock Localization in Pakistan

Localization of livestock is a vital component of good livestock management in Pakistan. This abstract describes a unique method for livestock localization in Pakistan that makes use of Active RFID technology and Tiny Machine Learning (TinyML) approaches. The incorporation of Active RFID technology allows for precise and long-range livestock tracking, while TinyML provides on-device analysis and decision-making. This method has a number of advantages, including high precision, real-time localization, and less reliance on external infrastructure. Accurate triangulation-based localization is obtained by putting Active RFID tags on cattle and carefully positioning Active RFID anchors in specific regions. TinyML integration on resource-constrained microcontrollers within Active RFID tags allows for efficient on-device analysis of Active RFID signals. The suggested system has the potential to significantly improve livestock management practices in Pakistan, including animal tracking and monitoring, behavior analysis, and increased animal welfare. To realize the full potential of this unique Active RFID and TinyML-based livestock localization system in Pakistan, further research should focus on optimizing localization algorithms, enhancing TinyML models, and exploring interaction with upcoming technologies

Contribution of Livestock Farming to Environmental Pollution in China

Purpose: The aim of the study was to examine contribution of livestock farming to environmental pollution in China. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: The study found that livestock farming in China significantly contributes to environmental pollution, posing substantial challenges to water, air, and soil quality. Intensive livestock operations, characterized by concentrated animal feeding operations (CAFOs), generate large quantities of animal waste containing nutrients and pathogens that contaminate water bodies. Additionally, livestock farming contributes to air pollution through emissions of ammonia and other pollutants, particularly in areas with intensive farming practices. Soil degradation and nutrient imbalance further exacerbate environmental degradation, with higher livestock densities associated with increased soil compaction and nutrient runoff. Unique Contribution to Theory, Practice and Policy: Tragedy of the Commons & Ecological Modernization Theory may be used to anchor future studies on contribution of livestock farming to environmental pollution in China. Promote the adoption of sustainable livestock management practices through capacity building, training, and extension services for farmers. Encourage the implementation of integrated farming systems that optimize resource use, minimize waste generation, and enhance environmental resilience. Strengthen regulatory frameworks and enforcement mechanisms to ensure compliance with environmental standards and promote responsible livestock production. Implement stringent measures to control water pollution from livestock waste, including mandatory wastewater treatment and monitoring programs.

Shepherding the past: High-resolution data on Neolithic Southern Iberian livestock management at Cueva de El Toro (Antequera, Málaga).

The feeding strategies of the first domesticated herds had to manage the risks arising from the novelty of livestock practices in territories often distant from the animals' primary habitats. The Iberian Peninsula is characterised by a great diversity of environments, which undoubtedly influenced these dynamics. At the beginning of the Neolithic period these led the possibility to combine diverse livestock farming practices based on different animal feeding habits. This variability is also consistent with the rythms of adoption of domesticated animals, being later on the northern area. In order to address this issue, this work focuses on the dietary regimes of early sheep herds from southern Iberia, an area for which information is currently scarce. This study utilises high-resolution radiocarbon dating and stable isotope data on teeth to investigate sheep husbandry management strategies in Cueva de El Toro (Antequera, Málaga). The radiocarbon dates on the analysed remains evidenced they were deposited at the site over a short period, supporting the recurrent use of the cave. The sequential analysis of oxygen and carbon isotopes in tooth enamel reveals distinct livestock management strategies, reproduction patterns, feeding habits, and mobility during this short period. This variability demonstrates that livestock management practices in the western Mediterranean are more diverse than previously considered. Furthermore, these findings support the hypothesis that early Neolithic communities in the southern Iberian Peninsula were able to adopt different feeding strategies within the same herd, depending on their ecological and productive needs.

Seroprevalence of reproductive and infectious diseases in cattle: the case of Madre de Dios in the Peruvian southeastern tropics.

The objective of this study was to determine the seroprevalence of reproductive and infectious diseases in tropical cattle in the Tambopata and Tahuamanu Provinces in the department of Madre de Dios, Peru. 156 bovines from 7 cattle farms were sampled. These farms used exclusive grazing for food and natural mating for reproduction and did not have sanitary or vaccination programs. The serum of blood samples was subjected to ELISA with commercial kits for the detection of antibodies against Neospora caninum, Mycobacterium avium subsp paratuberculosis (MAP), Leptospira interrogans, pestivirus bovine viral diarrhea virus-1, retrovirus bovine leukemia virus (BLV), orbivirus bluetongue virus (BTV), and herpesvirus bovine herpes virus-1 (BHV). The data were analyzed by means of association tests with χ2 (P < .05) and Spearman rank correlation (P < .05) in the SPSS v.15.0 software (IBM Corp). A low prevalence of antibodies to L interrogans, N caninum, M avium subsp paratuberculosis, bovine viral diarrhea virus-1 was found, but it was high to BTV, BLV, and BHV (100%, 53.85%, and 72.44%, respectively). The presence of BLV and BHV was higher in the Las Piedras District, bovines less than 5 years old, and cattle with breed characteristics of zebu and crossbred (P < .01). In addition, there was a significant correlation between both infections, showing 83.3% of BLV positivity that were also BHV positive (P < .01). The high prevalence of antibodies to BTV, BHV, and BLV could be due to livestock management practices, direct contact with infected animals, and variation of the presence of vectors and natural reservoirs in the context of climate change in the tropics.

IoT-based livestock tracking: Addressing challenges in Somali livestock farming

Livestock plays a vital role in Somalia's economy, contributing more than 60% of the country's gross domestic product. However, livestock production in Somalia faces many challenges, including conflict, insecurity, climate change and environmental degradation. These challenges can lead to livestock losses, which can significantly affect the livelihoods of livestock owners. This paper proposes an Internet of Things (IoT)-based livestock tracking system to help farmers locate their lost livestock. The system uses GPS and GSM/GPRS technology to track the location of livestock in real-time. The system also includes a boundary restriction feature that can be used to ensure that livestock remains within a designated area. The IoT-based livestock tracking system has the potential to address a number of challenges facing livestock production in Somalia. The system can help reduce livestock losses, improve livestock management practices, and increase productivity. The system is currently being field-tested in Somalia. The system successfully detects livestock crossing the border and transmits the livestock's location in real-time. Field test results show successful real-time tracking of livestock. The test data will be used to improve the system and assess its effectiveness in helping farmers locate their lost livestock.