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21 results for “livestock farming”
Agricultural land use and livestock composition by case study of the SURE-Farm project - Input data for a dynamic nitrogen flow model
<p>Dataset used as input to the model by Pinsard et al (2021) and results published in D5.5 of the SURE-Farm project.</p>
COMPREHENSIVE LIVESTOCK HEALTH PROGRAM: TARGETED TREATMENT AND HOLISTIC INTERVENTIONS FOR MAJOR PREVALENT DISEASES IN THE LIVESTOCK FARMING COMMUNITY OF DAYNILE DISTRICT, MOGADISHU, SOMALIA.
<p>The general objective of this project was to intervene with the most common livestock diseases in Dayniile district by carrying out a comprehensive campaign for treatment and control. The specific objectives consisted of a treatment campaign, improving infrastructure for establishing disinfectant foot dips and hand washing points, providing disinfectant tools, and finalising community engagement and education by doing training at the farm level.<br>The team visited different donors and added their contribution. After collecting sufficient funds from various sources, the team began the procurement of the necessary materials. This included purchasing veterinary drugs and supplies from local pharmacies and other essentials like stationery. The first activity was treatment campaigns, which were a central aspect of the project. Over 290 animals were treated for various diseases and conditions. The farm manager was informed of the diagnoses, and upon receiving their permission, the appropriate treatments were administered. The second intervention action was a vaccination campaign. The team vaccinated a total of 70 animals against clostridial bacteria, which is one of the most common camel diseases encountered in the area. The third intervention was the establishment of biosecurity facilities at select livestock farms. Among all the farms involved in the project, five were chosen for the provision of enhanced biosecurity measures. These measures included the installation of foot dips and teat dips. The fourth activity was educating livestock farmers on strategies for controlling and preventing livestock diseases. The training was held at Beder Camel Dairy Farm and attended by approximately 10 individuals, comprising 3 females and 7 males. The content of the training was three modules: the first was general farm biosecurity, the second was operational biosecurity, and the third was concern for vaccination. Recommendation: We recommend that each farm hire livestock health specialists to easily implement disease prevention steps and promptly solve each new case.<br> We recommend the livestock association, veterinary clinics, and other institutions working on livestock do routine campaigns that facilitate the determination of prevalent diseases and the treatment of those cases</p>
ArMoR Cluster: 5 research projects fight Antimicrobial Resistance in livestock farming
<p>Within Horizon Results Booster programme (HRB), 4 Horizon 2020 projects (AVANT, DISARM, HealthyLivestock and ROADMAP) and 1 BBSRC funded project (AMRILS) have formed the "ArMoR Cluster" to develop a conceptual framework to improve understanding of AMR in livestock systems.</p> <p>Supported by the European Commission, Horizon Dissemination Booster (HRB) contributes to an effective transfer of research and innovation project results to policy makers, industry and society by offering various services as dissemination, exploitation strategy and business plan development to projects.</p> <p>The video is available on YouTube: <strong><a href="https://www.youtube.com/watch?v=rnU35ytdEuM">https://www.youtube.com/watch?v=rnU35ytdEuM</a></strong></p> <p>For any further questions please contact us at:</p> <ul> <li><strong><a href="https://zenodo.org/record/avant@rtds-group.com">avant@rtds-group.com</a></strong> (project AVANT),</li> <li><strong><a href="https://zenodo.org/record/info@disarmproject.eu">info@disarmproject.eu</a></strong> (project DISARM),</li> <li><strong><a href="https://zenodo.org/record/healthylivestockproject@yahoo.com">healthylivestockproject@yahoo.com</a></strong> (project Healthy Livestock) or</li> <li><strong><a href="mailto:roadmap.communication@gmail.com">roadmap.communication@gmail.com</a></strong> (project ROADMAP). </li> </ul>
Fig. 6 in Prevalence and gross pathology of liver fluke in macropods cohabiting livestock farms in north eastern NSW, Australia, and diagnosis using cELISA
Fig. 6. Livestock farms in the Northern Tablelands region of NSW, Australia, with Macropods harbouring liver fluke infections (December 2018–June 2021).
Fig. 5 in Prevalence and gross pathology of liver fluke in macropods cohabiting livestock farms in north eastern NSW, Australia, and diagnosis using cELISA
Fig. 5. Scatter plot of Fasciola hepatica coproantigen concentration (optical density, 450 nm) and total fluke count in Macropods.
Fig. 4. A in Prevalence and gross pathology of liver fluke in macropods cohabiting livestock farms in north eastern NSW, Australia, and diagnosis using cELISA
Fig. 4. A. Common wallaroo liver (visceral surface) with prominent fibrotic capsules. B. Liver cross-section of fibrous capsules. C. Eastern grey kangaroo liver (visceral surface) with irregular form, hepatomegaly, fibrotic lesions and bile duct hyperplasia. D. Necrotic tracks generated by immature fluke. E. Immature fluke (mm).
Fig. 3. Rainfall and temperature data throughout 2019–2020 in Prevalence and gross pathology of liver fluke in macropods cohabiting livestock farms in north eastern NSW, Australia, and diagnosis using cELISA
Fig. 3. Rainfall and temperature data throughout 2019–2020 recorded at the Armidale airport NSW, Australia (Australian Government of Bureau of Meteorology, 2019, 2020).
Fig. 1 in Prevalence and gross pathology of liver fluke in macropods cohabiting livestock farms in north eastern NSW, Australia, and diagnosis using cELISA
Fig. 1. Geographical location of livestock farms (A–G) surveyed in the Northern Tablelands region of NSW, Australia, to assess liver fluke prevalence in Macropods (ArcGIS 10.4.1 software, 2018).
Fig. 2 in Prevalence and gross pathology of liver fluke in macropods cohabiting livestock farms in north eastern NSW, Australia, and diagnosis using cELISA
Fig. 2. Liver fluke prevalence in Macropods (infected/total sampled) cohabiting farms in the Northern Tablelands region of NSW, Australia. Number of farms by risk site: low – 2 farms, medium – 3 farms, high – 2 farms.
Data from: Highly diversified crop-livestock farming systems reshape wild bird communities
<p>Agricultural intensification is a leading threat to bird conservation. Highly diversified farming systems that integrate livestock and crop production might promote a diversity of habitats useful to native birds foraging across otherwise-simplified landscapes. At the same time, these features might be attractive to non-native birds linked to a broad range of disservices to both crop and livestock production. We evaluated the influence of crop-livestock integration on wild bird richness and density along a north-south transect spanning the U.S. west coast. We surveyed birds on 52 farms that grew primarily mixed vegetables and fruits alone or integrated livestock into production. Crop-livestock systems harbored higher native bird density and richness relative to crop only farms, a benefit more pronounced on farms embedded in non-natural landscapes. Crop-livestock systems bolstered native insectivores linked to the suppression of agricultural pest insects but did not bolster native granivores that may be more likely to damage crops. Crop-livestock systems also significantly increased the density of non-native birds, primarily European starlings (<i>Sturnus vulgaris</i>) and house sparrows (<i>Passer domesticus</i>) that may compete with native birds for resources. Models supported a small, positive correlation between non-native density and overall native bird density as well as between non-native density and native granivore density.<a name="_Hlk19446924">Relative to crop-only farms, on average crop-livestock systems exhibited 1.5 times higher patch richness, 2.4 times higher density of farm structures, 7.3 times smaller field sizes, 2.4 times greater integration of woody crops, and 5.3 times greater integration of pasture/hay habitat on farm.</a> Wild birds may have responded to this habitat diversity and/or associated food resources. Individual farm factors had significantly lower predictive power than farming system alone (ΔCIC = 80.2), suggesting crop-livestock systems may impact wild birds through a suite of factors that change with system conversion. Collectively, our findings suggest that farms that integrate livestock and crop production can attract robust native bird communities, especially within landscapes devoted to intensified food production. However, additional work is needed to demonstrate persistent farm bird communities through time, eco-physiological benefits to birds foraging on these farms, and net effects of both native and non-native wild birds in agroecosystems. </p>
Intensified livestock farming increases antibiotic resistance genotypes and phenotypes in animal feces
<p class="MsoNormal"><span>Animal feces from livestock farming can be a major source of antibiotic resistance to the environment, but a clear gap exists on how the resistance reservoir in feces alters as farming activities intensify. Here, we sampled feces from eight Chinese farms, where yak, sheep, pig, and horse were reared under free-range to intensive conditions, and determined fecal resistance using both genotype and phenotype approaches. </span><span>A</span><span>nimals reared </span><span><span>intensively</span></span><span> exhibited increased </span><span><span>diversity</span></span><span> of antibiotic resistance genes (ARGs) and greater resistance phenotypes in feces, which were cross-correlated. Furthermore, a</span><span>t the metagenome contig level, ARGs</span><span> </span><span>were </span><span><span>co-located</span></span><span> with </span><span>mobile genetic elements </span><span>at a higher frequency (27.38%) </span><span>as farming intensified, </span><span>with</span><span> associated resistance phenotyp</span><span><span>e</span></span><span>s </span><span>being less coupled with bacterial phylogeny. </span><span>I</span><span>ntensified farming also expanded the multidrug resistance preferentially carried on pathogens in fecal microbi</span><span>omes</span><span><span>.</span></span><span> Overall, </span><span><span>farming intensification </span></span><span>can </span><span><span>increase </span></span><span>antibiotic resistance</span><span> <span>genotypes and phenotypes in </span></span><span>domestic animal </span><span><span>feces</span></span><span>, with implications for environmental health.</span></p> <p> </p>
Fencing farm dams to exclude livestock halves methane emissions and improves water quality
<p>Agricultural practices have created tens of millions of small artificial water bodies ("farm dams" or "agricultural ponds") to provide water for domestic livestock worldwide. Among freshwater ecosystems, farm dams have some of the highest greenhouse gas (GHG) emissions per m<sup>2</sup> due to fertilizer and manure run-off boosting methane production – an extremely potent GHG. However, management strategies to mitigate the substantial emissions from millions of farm dams remain unexplored. We tested the hypothesis that installing fences to exclude livestock could reduce nutrients, improve water quality, and lower aquatic GHG emissions. We established a large-scale experiment spanning 400 km across south-eastern Australia where we compared unfenced (N = 33) and fenced farm dams (N = 31) within 17 livestock farms. Fenced farm dams recorded 32% less dissolved nitrogen, 39% less dissolved phosphorus, 22% more dissolved oxygen, and produced 56% less diffusive methane emissions than unfenced dams. We found no effect of farm dam management on diffusive carbon dioxide emissions and on the organic carbon in the soil. Dissolved oxygen was the most important variable explaining changes in carbon fluxes across dams, whereby doubling dissolved oxygen from 5 to 10 mg L<sup>-1</sup> led to a 74% decrease in methane fluxes, a 124% decrease in carbon dioxide fluxes, and a 96% decrease in CO<sub>2</sub>-eq (CH<sub>4</sub> + CO<sub>2</sub>) fluxes. Dams with very high dissolved oxygen (>10 mg L<sup>-1</sup>) showed a switch from positive to negative CO<sub>2</sub>-eq. (CO<sub>2</sub> + CH<sub>4</sub>) fluxes (i.e., negative radiative balance), indicating a positive contribution to reducing atmospheric warming. Our results demonstrate that simple management actions can dramatically improve water quality and decrease methane emissions while contributing to more productive and sustainable farming.</p>
Labels for land cover classification for Sentinel 2 images in livestock farms
<p>Land cover data labeling for 2022 Sentinel 2 images in livestock farms, mostly in different agroclimatic regions of Spain. The data has a resolution of 10m and the label values correspond to:</p> <ul> <li>0: Unproductive.</li> <li>1: Woodland.</li> <li>2: Pasture.</li> </ul> <p>Dataset produced within the <a href="https://ai4copernicus-project.eu/">AI4Copernicus</a> European H2020 project.</p>
Fencing farm dams to exclude livestock halves methane emissions and improves water quality
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Intensified livestock farming increases antibiotic resistance genotypes and phenotypes in animal feces
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Data from: Highly diversified crop-livestock farming systems reshape wild bird communities
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Data from: Long livestock farming history and human landscape shaping revealed by lake sediment DNA
The reconstruction of human-driven, Earth-shaping dynamics is important for understanding past human/environment interactions and for helping human societies that currently face global changes. However, it is often challenging to distinguish the effects of the climate from human activities on environmental changes. Here we evaluate an approach based on DNA metabarcoding used on lake sediments to provide the first high-resolution reconstruction of plant cover and livestock farming history since the Neolithic Period. By comparing these data with a previous reconstruction of erosive event frequency, we show that the most intense erosion period was caused by deforestation and overgrazing by sheep and cowherds during the Late Iron Age and Roman Period. Tracking plants and domestic mammals using lake sediment DNA (lake sedDNA) is a new, promising method for tracing past human practices, and it provides a new outlook of the effects of anthropogenic factors on landscape-scale changes.
ArMoR Cluster: 7 research projects fight Antimicrobial Resistance in livestock farming (updated version)
<p>Supported by the European Commission, Horizon Dissemination Booster (HRB) contributes to an effective transfer of research and innovation project results to policy makers, industry and society by offering various services as dissemination, exploitation strategy and business plan development to projects. Within Horizon Results Booster programme (HRB), 7 research projects AMRILS, AVANT, BM-FARM, FARMCARE, DISARM, HealthyLivestock and ROADMAP have formed the "ArMoR Cluster" to develop a conceptual framework to improve understanding of AMR in livestock systems.</p> <p>The video is available on YouTube: <a href="https://www.youtube.com/watch?v=ACbnyu3PhOY">https://www.youtube.com/watch?v=ACbnyu3PhOY</a></p> <p>For any further questions please contact us at:</p> <ul> <li><strong><a href="https://zenodo.org/record/avant@rtds-group.com">avant@rtds-group.com</a></strong> (project AVANT)</li> </ul>
Data from: Simulating the distribution of individual livestock farms and their populations in the united states: an example using domestic swine (Sus scrofa domesticus) farms
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Data from: Long livestock farming history and human landscape shaping revealed by lake sediment DNA
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