UNASSIGNED: Most studies on viral infections among livestock handlers have focused on occupational exposure from inadvertent contact with infected animals. Consequently, little emphasis is given to the effect of their lifestyle on the acquisition of other blood-borne viruses.
UNASSIGNED: To determine the prevalence and assess risk factors for HIV, HBV and HCV infections among livestock handlers in Ibadan, Nigeria.
UNASSIGNED: Blood samples were collected from 265 livestock handlers between October 2016 to April 2017 in Ibadan. The samples were tested for the presence of antibodies to HIV and HCV; and surface antigen to HBV using ELISA. Structured questionnaire was administered to collect information on risk factors associated with the transmission of these viruses. Data analysis was carried out using Chi-square test and logistic regression to determine the association between risk factors and predictors of infection (p < 0.05).
UNASSIGNED: Of 265 participants, 11 (4.2%), 29 (10.9%) and 13 (4.9%) individuals tested positive for HIV, HBV and HCV infections respectively. Two (0.8%) of the participants were coinfected with HIV and HBV while 1(0.4%) was coinfected with both HBV and HCV. Individuals who travelled frequently in the course of Livestock trades had a higher rate of HIV infection.
UNASSIGNED: A high Infection with HIV, HBV and HCV is common among the study participants. There is a need for continued surveillance and awareness creation on preventive measures against these viruses.

Seasonal scarcity of quality feed continues to be a bottleneck for agro-pastoralists and is the most important limitation to livestock production in agro-pastoral systems in the West African Sahel. In this regard, diverse promising technologies to increase the production and availability of quality feed have been introduced. Despite the introduction of various feed technologies in the region, the adoption rate by smallholder farmers is very low. The objective of this study was to identify factors affecting the likelihood of using improved livestock feed technologies among agro-pastoral households in two regions of Niger. A logit model was employed using data collected from randomly selected 218 agro-pastoral households between February and April 2023. The study revealed low awareness and use of improved livestock feed technologies among agro-pastoral households. The findings suggested the positive impact of education level, membership of farmer groups and ownership of small ruminant on enhancing the probability of using improved livestock feed technologies. Households\' geographical area was one of the determinant factors in using improved livestock feed technologies. The use of improved livestock feed technologies was also influenced by family size. The study provides guidance to inform strategies by the decision-makers to enhance the utilization of improved livestock feed technologies among agro-pastoral households in the West African Sahel. Suggested strategies may in turn alleviate the current problem of low productivity of livestock, contribute to improving household food security and nutrition among agro-pastoral communities.

OBJECTIVE: Livestock droppings cause some environmental problems, but they have the potential to be used as effective biomass resources. The black soldier fly (BSF), Hermetia illucens (Diptera: Stratiomyidae), is suitable for efficiently processing such resources. By using BSF larvae for the disposal of livestock droppings, we can obtain two valuable products: protein resources and organic fertilizer. However, there is insufficient research on the digestive enzymes suitable for processing this waste. Here, we aimed to construct an efficient BSF processing system using livestock droppings, and we explored the digestive enzymes involved in this process.
RESULTS: First, we investigated the characteristics of transcripts expressed in the midgut of BSF larvae and found that immune response-related genes were expressed in the midgut. Then, we investigated digestive enzymes and identified a novel serine protease, HiBrachyurin, whose mRNA was highly expressed in the posterior midgut when BSF larvae fed on horse droppings. Despite the low protein content of horse droppings, larvae that fed on horse droppings accumulated more protein than those in the other groups. Therefore, HiBrachyurin may contribute to digestibility in the early stage of protein degradation in BSF larvae fed on horse droppings.

This study investigates methane emissions from the livestock sector, representing by enteric fermentation and manure management, in Egypt from 1989 to 2021, focusing on spatial and temporal variations at the governorate level. Utilizing IPCC guidelines and emission factors, methane emissions were estimated for dairy and non-dairy cattle, buffalo, sheep and goat, poultry, and other livestock categories. Results reveal fluctuating emission patterns over the study period, with notable declines in certain governorates such as Kafr El-Sheikh and Red Sea, attributed to reductions in livestock populations. However, increasing trends were observed overall, driven by population growth in other regions. Hotspots of methane emissions were identified in delta governorates like Behera and Sharkia, as well as agriculturally rich regions including Menia and Suhag. While livestock populations varied between regions, factors such as water availability, climatic conditions, and farming practices influenced distribution. Notably, cluster analysis did not reveal regional clustering among governorates, suggesting emissions changes were not dependent on specific geographic or climatic boundaries. Manure management accounted for only 5-6% of total emissions, with emissions at their lowest in the last three years due to population declines. Despite the highest livestock populations being sheep and goats, emissions from enteric fermentation and manure management were highest from buffalo and cattle. This study underscores the importance of accurate data collection and adherence to IPCC recommendations for estimating GHG emissions, enabling the development of targeted mitigation strategies to address climate change challenges in the livestock sector.

The growing demand for agricultural products, driven by the Green Revolution, has led to a significant increase in food production. However, the demand is surpassing production, making food security a major concern, especially under climatic variation. The Indian agriculture sector is highly vulnerable to extreme rainfall, drought, pests, and diseases in the present climate change scenario. Nonetheless, the key agriculture sub-sectors such as livestock, rice cultivation, and biomass burning also significantly contribute to greenhouse gas (GHG) emissions, a driver of global climate change. Agriculture activities alone account for 10-12% of global GHG emissions. India is an agrarian economy and a hub for global food production, which is met by intensive agricultural inputs leading to the deterioration of natural resources. It further contributes to 14% of the country\'s total GHG emissions. Identifying the drivers and best mitigation strategies in the sector is thus crucial for rigorous GHG mitigation. Therefore, this review aims to identify and expound the key drivers of GHG emissions in Indian agriculture and present the best strategies available in the existing literature. This will help the scientific community, policymakers, and stakeholders to evaluate the current agricultural practices and uphold the best approach available. We also discussed the socio-economic, and environmental implications to understand the impacts that may arise from intensive agriculture. Finally, we examined the current national climate policies, areas for further research, and policy amendments to help bridge the knowledge gap among researchers, policymakers, and the public in the national interest toward GHG reduction goals.

Cattle ranching is a fundamental economic activity in northern Peru, where proper management of water resources is crucial. This study, a pioneer in the region, evaluated water quality and its suitability for human consumption, vegetable irrigation, and livestock production. It is also the first study to document the presence of metals and metalloids in vulnerable areas because they are located at the headwaters of river watersheds. The spatiotemporal evaluation of physicochemical parameters, metals, and metalloids was performed in five micro-watersheds (Cabildo, Timbambo, Pomacochas, Atuen, and Ventilla) from water samples collected in the dry season (October 2017) and wet season (March 2018). The parameters were analyzed using microwave plasma atomic emission spectrometry. The results were contrasted with international and Peruvian quality standards related to dairy cow production. The highest values of pH, total dissolved solids, and electrical conductivity were reported during the dry season, and the highest turbidity during the wet season. Of the metals evaluated, arsenic (As) was omnipresent in all the micro-watersheds, followed by lead (Pb). In contrast to World Health Organization regulations, concentrations of As, cadmium (Cd), Pb, and iron represent a risk; according to Peruvian regulations, As and Pb exceed the concentrations established for use in animal drinking water and vegetable irrigation, and according to water guidelines for dairy cattle, concentrations of As, Pb, Cd, and Al exceed the permitted limits. The high concentrations of these metals in the study area are attributable to a synergy between natural factors, such as Andean geology and livestock activity. The data reported will allow for proper water resource management, pollution prevention, and the design and adoption of mitigation measures.

The domestication of animals marks a pivotal moment in human history, profoundly influencing our demographic and cultural progress. This process has led to significant genetic, behavioral, and physical changes in livestock species compared to their wild ancestors. Understanding the evolutionary history and genetic diversity of livestock species is crucial, and mitochondrial DNA (mtDNA) has emerged as a robust marker for investigating molecular diversity in animals. Its highly conserved gene content across animal species, minimal duplications, absence of introns, and short intergenic regions make mtDNA analysis ideal for such studies. Mitochondrial DNA analysis has uncovered distinct cattle domestication events dating back to 8000 years BC in Southwestern Asia. The sequencing of water buffalo mtDNA in 2004 provided important insights into their domestication history. Caprine mtDNA analysis identified three haplogroups, indicating varied maternal origins. Sheep, domesticated 12,000 years ago, exhibit diverse mtDNA lineages, suggesting multiple domestication events. Ovine mtDNA studies revealed clades A, B, C, and a fourth lineage, group D. The origins of domestic pigs were traced to separate European and Asian events followed by interbreeding. In camels, mtDNA elucidated the phylogeographic structure and genetic differentiation between wild and domesticated species. Horses, domesticated around 3500 BC, show significant mtDNA variability, highlighting their diverse origins. Yaks exhibit unique adaptations for high-altitude environments, with mtDNA analysis providing insights into their adaptation. Chicken mtDNA studies supported a monophyletic origin from Southeast Asia\'s red jungle fowl, with evidence of multiple origins. This review explores livestock evolution and diversity through mtDNA studies, focusing on cattle, water buffalo, goat, sheep, pig, camel, horse, yak and chicken. It highlights mtDNA\'s significance in unraveling maternal lineages, genetic diversity, and domestication histories, concluding with insights into its potential application in improving livestock production and reproduction dynamics.

The development of high throughput methods has enabled the study of hundreds of samples and metaproteomics is not the exception. However, the study of thousands of proteins of different organisms represents different challenges from the protein extraction to the bioinformatic analysis. Here, the sample preparation, protein extraction and protein purification for livestock microbiome research throughout metaproteomics are described. These methods are essential because the quality of the final protein pool depends on them. For that reason, the following workflow is a combination of different chemical and physical methods that intend an initial separation of the microbial organisms from the host cells and other organic materials, as well as the extraction of high concentrate pure samples.

Crop raiding and livestock predation negatively impact the views of the local community towards wildlife conservation. Farmers across the African continent, especially those in rural regions, incur financial losses as a result of crop raiding and livestock depredation. The sustainability of the forest relies heavily on comprehending the essential connection between a harmonious park-people relationship and the coexistence of humans and wildlife. The primary aim of this study is to evaluate the predation of livestock, the raiding of crops, and the attitudes of the community towards wildlife in the Mankira Forest located in southwest Ethiopia. This particular area has been lacking in scientific research, making it crucial to conduct this assessment. The data were collected between November 2021 and September 2022 via a structured questionnaire. This study used a sample of 241 randomly selected respondents from the four villages, and responses were compared using chi-square tests. Pearson correlation was also used to test the relationship between the distance of farmland and the extent of crop raiding. The majority of the respondents (95%) reported the presence of crop raiding and livestock predation in the area. These losses were caused by the Papio anubis (39%), the Chlorocebus aethiops (24.1%), the Hystrix cristata (15.3%), the Canis aures (58.3%), and the Crocutacrocuta (29.5%). Maize stood out as the crop type most susceptible to crop raiders. Most of the respondents (56.7%) had a negative attitude towards wildlife conservation. There was a significant difference among age groups of respondents related to their attitude towards wildlife conservation (p < 0.05). The study highlights the need to address several gaps in understanding and managing human-wildlife conflict through research on predation, raiding, and community attitudes. Therefore, to fulfill the dual goals of community support and conservation of wildlife, rigorous management and planning are needed.

African pastoralists suffer recurrent droughts that cause high livestock mortality and vulnerability to climate change. The index-based livestock insurance (IBLI) program offers protection against drought impacts. However, the current IBLI design relying on the normalized difference vegetation index (NDVI) may pose limitation because it does not consider the mixed composition of rangelands (including herbaceous and woody plants) and the diverse feeding habits of grazers and browsers. To enhance IBLI, we assessed the efficacy of utilizing distinct browse and grazing forage estimates from woody LAI (LAIW) and herbaceous LAI (LAIH), respectively, derived from aggregate leaf area index (LAIA), as an alternative to NDVI for refined IBLI design. Using historical livestock mortality data from northern Kenya as reference ground dataset, our analysis compared two competing models for (1) aggregate forage estimates including sub-models for NDVI, LAI (LAIA); and (2) partitioned biomass model (LAIP) comprising LAIH and LAIW. By integrating forage estimates with ancillary environmental variables, we found that LAIP, with separate forage estimates, outperformed the aggregate models. For total livestock mortality, LAIP yielded the lowest RMSE (5.9 TLUs) and higher R2 (0.83), surpassing NDVI and LAIA models RMSE (9.3 TLUs) and R2 (0.6). A similar pattern was observed for species-specific livestock mortality. The influence of environmental variables across the models varied, depending on level of mortality aggregation or separation. Overall, forage availability was consistently the most influential variable, with species-specific models showing the different forage preferences in various animal types. These results suggest that deriving distinct browse and grazing forage estimates from LAIP has the potential to reduce basis risk by enhancing IBLI index accuracy.