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427 results for “Dairy”
Supplementary Material to article "Molecular Diversity of Mycobacterium avium subsp. paratuberculosis in Four Dairy Goat Herds from Thuringia (Germany)"
<p>These data (supplementary material) belong to the publication "Molecular Diversity of <i>Mycobacterium avium</i> subsp. <i>paratuberculosis</i> in Four Dairy Goat Herds from Thuringia (Germany)". The study determined the diversity of <i>Mycobacterium avium</i> subsp. <i>paratuberculosis</i> (MAP) isolated from four goat herds affected by paratuberculosis in Thuringia (Germany), as well as the detailed distribution of MAP genotypes among the animals and their environment in one herd (herd 1). A combination of three methods was used to genotype isolates from fecal samples of infected goats, from various intestinal and other tissues of clinically affected goats, and from environmental samples. The six MAP-C genotypes identified could be assigned to five different phylogenetic subgroups. The results suggest individual infection strains within each herd. In herd 1, one predominant strain was found, and two strains occurred sporadically. The identified genotypes were not goat specific.</p>
Dataset for "Fertilizer value of dairy processing waste materials and contributions of soil microorganisms towards phosphorus uptake in grasses."
<p>This file includes the dataset used for the analysis of the fertilizer value from dairy processing waste materials and the contribution of soil microorganisms towards P uptake. More information in the linked future publication</p>
A diet containing mango peel silage impacts upon feed intake, energy supply and growth performances of dairy male calves
<p>The major challenges for disposal of waste from fruit processing factories are high transportation costs, limited landfill availability and environmental pollution. Therefore, developing efficient waste management techniques to reduce transportation costs and environment pollution is important. Mango peels (MP) are abundant during the mango season and high in fermentable carbohydrate, which can easily breakdown and pollute the environment if a proper waste management method is not implemented. Thus, in this study, fresh MP were ensiled after sun-dried for one day and then fed to dairy male calves as the roughage source to evaluate its effect on feed intake, digestibility, energy balance, body weight gain, feed efficiency and blood metabolites. Eight growing crossbred dairy male calves (Holstein Friesians × Zebu) were allocated into two groups [Control (n = 4) and mango peel silage (MPS, n = 4)]. This experiment lasted for 12 weeks and daily feed offered and refusal were recorded to determine the daily feed intake. Digestion trial was performed at the last five days of experiment. Body weight and measurement were recorded every two weeks interval to determine the weight gain and body physical improvement. Blood was collected at the end of experiment to analyze the serum biochemical parameters. Ensiling improved the energy and protein contents and decreased fibre content of MP, thereby improving the forage quality. Feeding MPS to calves increased (<i>P</i> < 0.05) feed intake, energy supply and energy balance, changes in body measurements, weight gain, feed efficiency, and glucose concentration, as well as lowered (<i>P</i> < 0.05) the urea nitrogen concentration. Ensiling fresh MP after sun-drying for one day improved silage quality, and feeding MPS to dairy male calves as a roughage source improved feed intake, energy supply and growth performances. Therefore, ensiling fresh MP could improve the feed supply for ruminant production and be an effective waste management strategy for fruit processing businesses. </p>
Underlying Data for Manuscript titled "Hydrothermal Carbonization (HTC) of Dairy Waste: Effect of Temperature and Initial Acidity on the composition and quality of solid and liquid products"
<p>The embodied files include the raw data and initial calculations used to generate the extended data for Manuscript titled "Hydrothermal Carbonization (HTC) of Dairy Waste: Effect of Temperature and Initial Acidity on the composition and quality of solid and liquid products". The files include calculations for Phosphorus Recovery from Hydrochar, as well as Heavy Metals Fractions retrieved by the hydrochar (solid product of Hydrothermal Carbonization).</p>
Phenotypes of beef-on-dairy calves
<p><strong>Phenotypes from three different cattle F1 crossbreds obtained during three fattening trials. </strong></p> <p>calfID: individual calf ID</p> <p>dnaID: individual calf ID of genomic data</p> <p>Trial: fattening trial</p> <p>RatLot: treatment</p> <p>Breed: breed of sire, Angus (AAN), Limousin (LIM), Simmental (SIM); breed of dam is always Brown Swiss</p> <p>Sex: bull (B), heifer (H), steer (S)</p>
Data from: Cubicle design and dairy cow rising and lying down behaviours in free stalls with insufficient lunge space
<p>Original data from: "Cubicle design and dairy cow rising and lying down behaviours in free-stalls with insufficient lunge space" <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.animal.2024.101314" target="_blank" rel="noreferrer noopener"><span><span>https://doi.org/10.1016/j.animal.2024.101314</span></span></a></p>
Data for "Meat and dairy substitutes – better for health and the environment? Impacts on nutrition and sustainability; consumer perspectives; ethical and legal considerations"
<p>Combined data reposatory for the output of the project "Meat and dairy substitutes – better for health and the environment? Impacts on nutrition and sustainability; consumer perspectives; ethical and legal considerations"</p> <p><em>Kombiniertes Datenarchiv für die Ergebnisse des Projekts "Fleisch- und Milchersatzprodukte – besser für Gesundheit und Umwelt? Auswirkungen auf Ernährung und Nachhaltigkeit, die Sicht der Konsumentinnen und Konsumenten sowie ethische und rechtliche Überlegungen"</em></p> <p>The project was funded by the Foundation for Technology Assessment (TA-Swiss) "<a href="https://ror.org/02shtak05">ror.org/02shtak05</a>".</p> <p><em>Das Projekt wurde von der Stiftung für Technologiefolgen-Abschätzung (TA-Swiss) finanziert "<a href="https://ror.org/02shtak05">ror.org/02shtak05</a>". </em></p>
Ammonia emissions from a Swiss dairy housing
<p>These data contain ammonia concentration measurements using line-integrated miniDOAS instruments and emission calculations using an inverse dispersion method applying the bLS model at an experimental dairy housing operated by Agroscope in Tänikon, Switzerland during several months from September to December 2018. The data are described in a manuscript titled "Ammonia emissions from a dairy housing and wastewater treatment plant quantified with an inverse dispersion method accounting for deposition loss" submitted to the Journal of Air & Waste Management in 2023.</p> <p>These measurements were funded by the Swiss Federal Office for the Environment (Contract 00.5082.P2I R254-0652).</p>
Characterization of dairy processing waste in the north of France
<p>Dataset containing the characterization of dairy processing waste from 10 different dairy factories in the north of France.</p>
Dataset and Code: Pain and sickness behavior associated with corneal lesions in dairy calves
<p>This is the dataset and code for the analysis of sickness behaviors in calves within corneal lesions (IBK or pinkeye). </p>
Assessment of dairy cow welfare in small-scale farming systems dataset
<p>This database was created as preparatory work for the Scientific Opinion on the assessment of dairy cow welfare in small-scale farming systems (EFSA, 2015) to collect data for the description and the categorisation of European Small-Scale Dairy Farms (SSDF) based on size, farming system and husbandry practices and (ii) to analyse the feasibility in SSDF of animal-based measures usually used for intensive farming. The Scientific Opinion was necessary to address specific expectations of consumers on locally produced food and acceptable animal welfare conditions in the context of the EU Strategy for the protection and welfare of animals 2012-2015.</p> <p>The on-farm survey was run to collect data for welfare assessment covering Austria, France, Italy and Spain. A total of 124 farms with up to 75 cows were selected based on three criteria reflecting use of local resources or enrolment in a certification scheme: (1) the type of enterprise (ownership and workers), (2) the use of inputs in the production process, including the use of local feed and local breeds, and (3) the production type (certification schemes). From 124 dairy farms visited 119 were considered as SSDF. Among the 119 farms included in the survey as non-conventional, some of them had a very small herd size (44 had less than 25 cows and one had only 10 cows) and some of them had more animals (19 farms had between 51 and 75 dairy cows).</p> <p>The database includes 53 continuous and categorical farm descriptor variables, 23 continuous and categorical risk-factor variables and 47 animal-based measures in small-scale farms. The final data model used was based on data collection at farm/herd level, pen level and animal level.</p>
Dairy cow dry matter intake for multiverse analysis and Bradley-Terry modeling
<p>The palatability of feed for dairy cows is an important consideration but is difficult to measure, particularly when considering more than two feeds. We outline how a combination of multiverse analysis and Bradley-Terry modeling, two methodological tools that have rarely been applied in dairy science, can be adapted to address this problem. Specifically, we propose to apply multiverse analysis as a way to consider a range of thresholds for how much of a mixed grass-legume (MGL) silage had to be consumed (as a percent of the total DMI) to be designated as preferred. Each threshold gives rise to a separate dataset and a corresponding fitted Bradley-Terry model. Bradley-Terry models attribute to each feed what is commonly referred to as an "ability" in the context of sports or other competitions but can be interpreted as palatability when applied to feeds. This combined approach is a way of estimating palatabilities that appropriately reflect the degree of preference cows express through their feeding behavior. It has the advantages of being transparent and relatively easy to implement. A possible disadvantage is that this method is limited to a paired comparison approach and has difficulties with main-effects statistical inference. We demonstrate the use of this methodology on an example dataset comparing MGL silages under different ensiling conditions and exposed to oxygen for different durations.</p>
Metadata for Confocal Laser Scanning Microscopy Images of Monoculture and Mixed-Species Biofilms Formed by Bacterial Isolates of Dairy Origin
<p>In a project conducted by ILVO (Belgium), a wide variety of bacterial species were recovered from the surface of a dairy pasteurizer after cleaning and disinfection (C&D). The biofilm-forming ability of these bacteria was determined in both single-species and various mixed-culture combinations. Some work related to this study has been published in Frontiers: "Synergistic interactions in multispecies biofilm combinations of bacterial isolates recovered from diverse food processing industries". Bacterial species were mixed in different combinations to assess the community biofilm mass and growth dynamics of individual species. ILVO and the University of Copenhagen conducted experiments aimed at revealing the structural characteristics and spatial organization of bacterial species within different mixed-species biofilms. In our research, we employed oligonucleotide FISH probes, each conjugated with a unique fluorescent dye: Cy5 for <em>Stenotrophomonas rhizophila</em> (B68), Cy3 for <em>Bacillus licheniformis</em> (B65), and FAM for <em>Microbacterium lacticum</em> (B30). C1 combination refers to a combination containing B68 and B30. </p> <p><span>Images of the biofilms formed on the coupons were captured using a confocal laser scanning microscope (LSM 800, Zeiss) with a Plan-Apochromat 63x/1.4 oil-immersion objective. Z-stacks were recorded to obtain three-dimensional (3D) images. Standard images were made with an image size of 1024 × 1024 pixels, corresponding to physical dimensions of 101.4 × 101.4 μm for each image. For each image, two separate channels were applied to detect any dual-species combination using a flexible detector (GaAsP-PMT) in the LSM 800 system. Representative 3D views of images were generated using the 3D model function in the ZEN system 3.7.</span></p> <p>Biofilms were grown in BHI for 24 h on plastic coupons. The samples were imaged at different time points: 6h, 12h, 18h and 24h. Each samples had three replicates and for each replicate imaging was performed from 3-6 different positions. </p> <p>Details of the oligonucleotide probes are given below:</p> <table> <tbody> <tr> <td> <p><strong><span>Name of the species</span></strong></p> </td> <td> <p><strong><span>Sequences</span></strong></p> </td> <td> <p><strong><span>Max. excitation</span></strong></p> </td> <td> <p><strong><span>Max. emission</span></strong></p> </td> <td> <p><strong><span>Fluorophores</span></strong></p> </td> </tr> <tr> <td> <p><em><span>S. rhizophila</span></em><span> B68<span> </span></span></p> </td> <td> <p><span>GGGCCTTTACCCCGCCA</span></p> </td> <td> <p><span>649 nm</span></p> </td> <td> <p><span>670 nm</span></p> </td> <td> <p><span>Cy5</span></p> </td> </tr> <tr> <td> <p><em><span>B. licheniformis</span></em><span> B65</span></p> </td> <td> <p><span>ACCGCCTGCGCGCGCTT</span></p> </td> <td> <p><span>550 nm</span></p> </td> <td> <p><span>570 nm</span></p> </td> <td> <p><span>Cy3</span></p> </td> </tr> <tr> <td> <p><em><span>M. lacticum</span></em><span> B30</span></p> </td> <td> <p><span>CCCCACCCTTTCGCTCC</span></p> </td> <td> <p><span>495 nm</span></p> </td> <td> <p><span>520 nm</span></p> </td> <td> <p><span>FAM</span></p> </td> </tr> </tbody> </table>
Supporting dataset for: "Plasma essential amino acid concentration and profile are associated with performance of lactating dairy cows as revealed through meta-analysis and hierarchical clustering"
<p>This dataset was used in the meta-analysis and hierarchical clustering published in "Plasma essential amino acid concentration and profile are associated with performance of lactating dairy cows as revealed through meta-analysis and hierarchical clustering" in the Journal of Dairy Science. We searched Web of Science and Google Scholar databases through March 2020 with the terms “plasma EAA,” “milk urea” or “blood urea,” and “dairy” or lactating dairy”. To be included in our study, the papers must have met the following selection criteria: (1) been published in English in a peer-reviewed journal; (2) reported dietary ingredients on a DM basis and at minimum dietary CP concentration; (3) used treatments based on diet changes (e.g., no infusion trials were included); (4) reported DMI, lactation performance, and milk components yield; (5) reported all individual [EAA]p (excluding Trp); and (6) reported blood urea-N or plasma urea-N. Infusion studies were excluded to avoid possible effects of method of EAA supply (e.g., infusion vs. feeding) and to narrow the scope of application. The final dataset included 22 studies and 96 dietary treatments. For a more complete description of the methods, please refer to the published paper. </p>
REFLOW Products from Hydrothermal Carbonization of Dairy Waste- Yield Calculations
<p>Dataset involving yield calculations for the hydrochar produced from the hydrothermal carbonization of dairy waste to produce STRUBIAS material. Calculations are performed based on the collected data from the laboratory experiments performed in the University of Limerick.</p>
dairy_spatial_uwb_lying_behaviour
<p>Data that belongs to the manuscript "Detecting dairy cows' lying behavior using noisy 3D ultra-wide band positioning data" by Adriaens, Ouweltjes, Pastell, Ellen, Kamphuis.</p>
Fig. 6 Monthly anti-F in Patterns of Fasciola hepatica infection in Danish dairy cattle: implications for on-farm control of the parasite based on different diagnostic methods
Fig. 6 Monthly anti-F. hepatica antibody levels in bulk tank milk (BTM) (solid line) and average serum antibody levels of milking cows during the study period (triangle points with dashed line, error bars showing standard error of the mean) in the four farms
Fig. 5 in Patterns of Fasciola hepatica infection in Danish dairy cattle: implications for on-farm control of the parasite based on different diagnostic methods
Fig. 5 The summary of F. hepatica diagnostic test results according to farms and age during the study period (from spring 2015 to winter 2017). Colour indicates animals that were born in the same year. Coproantigen ELISA values are log-transformed (after adding a fixed constant of 1), and the cut-off defined as 1.89 (1.061 after transformation). Faecal egg counts in 5 g faeces were also log-transformed (after adding a fixed constant of 1) for the benefit of visualisation. Any post-treatment data are excluded
Fig. 4 in Patterns of Fasciola hepatica infection in Danish dairy cattle: implications for on-farm control of the parasite based on different diagnostic methods
Fig. 4 Danish climate data for the four farms for the study period (2015–2017: red) and 30 year average (1961–1990: blue). The climate in Denmark is a mixture of oceanic and continental temperate. The mean day highest and lowest temperatures of each month are shown above, while the total monthly precipitations are shown below
Fig. 3 in Patterns of Fasciola hepatica infection in Danish dairy cattle: implications for on-farm control of the parasite based on different diagnostic methods
Fig. 3 Schematic map and Gantt chart of grazing periods (grey shaded, time of sampling; green shaded, grazing; pasture areas are indicated by capital letters), pasture characteristics (refer to the common map legend) and treatment against Fasciola hepatica on farms O1 and O2, 2015–2017
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.