Animal - Open Space最新文献

{"title":"Method: A standardised laboratory method for measuring ammonia volatilisation from pig slurry using a dynamic flux multichamber system","authors":"A. Antonacci ,&nbsp;G. Lazzari ,&nbsp;G. Bee","doi":"10.1016/j.anopes.2025.100111","DOIUrl":"10.1016/j.anopes.2025.100111","url":null,"abstract":"<div><div>Ammonia (<strong>NH₃</strong>) emissions generated by animal manure represent a challenge for the current livestock system, especially in the context of pig production. Standardised methods for measuring NH₃ concentration in pig slurry are needed to assess whether specific management strategies (e.g. low-protein diets and feed additives) can reduce NH₃ emissions. Therefore, the aim of this study was to provide a standardised procedure and test the repeatability in measuring NH₃ concentration in pig slurry using a laboratory-controlled method based on a dynamic flux multichamber system. Five slurry mixes of 348 g each were prepared using spot faecal and urine samples from a single pig. Every mix was composed of 87 g of faeces, 87 g of urine, and 174 g of distilled water. For each mix, three replicates of 100 g were realised, for a total of 15 slurry replicates of five slurry mixes. The 15 slurry replicates were contained in jars, placed in a water bath (21 °C), and injected with an even flow of synthetic air (approx. 0.3 L/min). The replicates were connected to a cavity ring-down spectrometer (<strong>CRDS</strong>), which, combined with a multichannel sampler, measured the NH₃ concentration of the outgoing air flow from the slurry replicates for 168.75 consecutive hours. Each slurry replicate was measured cyclically for 15 min, with a 10-min interval between two slurry replicates over 168.75 h of measurements. The values recorded during the final 60 s of each 15-min period were interpolated on an hourly basis, obtaining one NH₃ concentration value per hour. To test the repeatability of the method, CVs of area under the curve for NH₃ concentration (<strong>AUC NH</strong>_{<strong>3</strong>}, ppm × h), NH₃ concentration peak value (<strong>PV NH</strong>_{<strong>3</strong>}, ppm) and time to reach the peak (<strong>TTP</strong>, h) were calculated within pairs of replicates from the same mix and within pairs of mixes. For the slurry mixes, all the CVs calculated showed a variation lower than 10%. Among the replicates, only the CV related to the TTP registered a value higher than 10% for four pairs of replicates out of 15. These findings suggest that the proposed dynamic flux multichamber system provides a standardised and repeatable approach for measuring NH₃ concentration in pig slurry under controlled laboratory conditions.</div></div>","PeriodicalId":100083,"journal":{"name":"Animal - Open Space","volume":"4 ","pages":"Article 100111"},"PeriodicalIF":0.0,"publicationDate":"2025-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145361834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Method: Effect of light on microbial fermentation in an in vitro system using rumen fluid from lactating dairy cows","authors":"J.R. Vinyard ,&nbsp;R.R. Lobo ,&nbsp;E. Sarmikasoglou ,&nbsp;L.F. Roesch ,&nbsp;Z. Yuting ,&nbsp;K.C. Jeong ,&nbsp;A.P. Faciola","doi":"10.1016/j.anopes.2025.100110","DOIUrl":"10.1016/j.anopes.2025.100110","url":null,"abstract":"<div><div>Most <em>in vitro</em> assays used to evaluate ruminal fermentation are carried out using clear glass vessels that allow light penetration, unlike the rumen. Some bacterial species are light-sensitive, and any light stimuli may cause chemical reactions within the microbial cell that impact their survival, growth, and proliferation. Thus, this study’s objective was to evaluate light’s effects on ruminal fermentation in a dual-flow continuous culture. Using four fermenters and three experimental periods, the ruminal fluid of three lactating dairy cows was collected, pooled, and incubated for 10 days. Laboratory lights (234 ± 15 lux) were turned on 24 h per day for the entire experiment duration. Two of the fermenters were covered with aluminum foil to avoid light penetration within the jar. All fermenters were fed 106 g/day split into two feedings of the same diet that had 16% CP; 35% neutral detergent fiber; 31% starch, DM basis. After 7 days of adaptation, samples were collected for 3 days of each period for analyses of ruminal fermentation, nutrient degradation, and microbial analysis. Statistical analysis was performed with the MIXED procedure of SAS and the vegan and phyloseq packages of R. Significance was declared at <em>P</em> ≤ 0.05 and tendencies at 0.05 &lt; <em>P</em> ≤ 0.10. There was no effect of treatment on ruminal fermentation or nutrient degradation <em>in vitro</em>. However, light exposure decreased species richness and diversity, decreased abundances of Actinobacteria and Planctomycetes in the liquid fraction and Actinobacteria, Fibrobacteres, Planctomycetes, and Syngergistetes in the solid fraction. Light exposure increased Synergistetes in the liquid fraction and tended to increase Proteobacteria in the solid fraction. In summary, this pilot study demonstrated that light affects ruminal microbiota. Factors such as light intensity, exposure duration, and affected populations should be further investigated. Those results indicate that some ruminal microorganisms may be light-sensitive, and whenever possible, darker conditions should be practiced.</div></div>","PeriodicalId":100083,"journal":{"name":"Animal - Open Space","volume":"4 ","pages":"Article 100110"},"PeriodicalIF":0.0,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145104579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Method: open-source economic tool for dairy farmers planning extended cow-calf contact","authors":"A.H. Stygar ,&nbsp;M. Mughal ,&nbsp;L. Frondelius ,&nbsp;M. Pastell","doi":"10.1016/j.anopes.2025.100109","DOIUrl":"10.1016/j.anopes.2025.100109","url":null,"abstract":"<div><div>Extended cow-calf contact (<strong>CCC</strong>) is gaining popularity among European dairy farmers. Any change in farm management strategy should be preceded by economic considerations and an accurate assessment of the costs and benefits of the new management strategy. In this study, we have developed an economic tool for farmers planning extended cow-calf contact. The tool allows producers to calculate the costs and benefits of the new practice (CCC lasting from 1 to 3 months) and compare it with the current operation (conventional system with a maximum of 1 day of cow-calf contact). The tool has been developed using the free and open source R package Shiny and is accessible from the following link: <span><span>https://cowcalfeconomictool.github.io/</span><svg><path></path></svg></span>. The CowCalfEconomicTool consists of two tabs: calculator and user guide. The calculator tab has 7 distinct frames: language selection, housing, herd size, operational costs and revenues, milk production, calf parameters in the current system and expected CCC effect. Additionally, the calculator tab has one output frame which is dedicated to presenting an interactive cost-benefit table, a Gauge cost-benefit chart, net present value and a cost-benefit ratio. Finally, the user can download all input and output data. To test the economic model behaviour and determine which parameter has the biggest impact on the economic result, sensitivity analyses were conducted. Tool verification was performed with a group of experts. The source code for the tool as well as baseline variables and results of sensitivity analysis are available from the GitHub repository: <span><span>https://github.com/CowCalfEconomicTool/CowCalfApp</span><svg><path></path></svg></span>.</div><div>Sensitivity analyses indicated that building costs together with additional milk price premium for improved welfare were the most critical factors affecting the net present value of CCC operations. The user is encouraged to use the tool as a simulator by adjusting production variables accordingly. CowCalfEconomicTool is still in early stages of the development. As CCC research progresses, the default values should be adjusted and new fields could be added in the calculations. The tool assists farmers to make informed decisions on whether and how to adopt CCC, but the results of the analyses have to be used with caution. The final decision should be made after careful consideration and consultation with relevant experts (e.g. farm advisors, barn planning companies, veterinarians).</div></div>","PeriodicalId":100083,"journal":{"name":"Animal - Open Space","volume":"4 ","pages":"Article 100109"},"PeriodicalIF":0.0,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145104583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Method: An accurate method for detecting drinking bouts in dairy cows based on reticulorumen temperature","authors":"L. Aubé ,&nbsp;K. Pelletier ,&nbsp;B. Meunier ,&nbsp;A. de Boyer des Roches ,&nbsp;R. Lardy ,&nbsp;D. Ledoux","doi":"10.1016/j.anopes.2025.100107","DOIUrl":"10.1016/j.anopes.2025.100107","url":null,"abstract":"<div><div>This study evaluated the performances of three methods for detecting drinking bouts in dairy cows using reticulorumen temperature (<strong>RT</strong>): the ‘<strong>FixT</strong>’ method based on a fixed RT threshold, the ‘<strong>Cow-dT’</strong> method based on a cow-day-specific RT threshold, and the ‘<strong>FallST</strong>’ method based on RT fall slope. We observed the drinking behaviours of 28 dairy cows equipped with reticulorumenal sensors over 96 h to create a reference dataset. A total of 730 drinking bouts were observed. We matched detected drinking bouts against observed drinking bouts to obtain the number of true-positives, false-negatives, and false-positives, and then calculated the detection performances of the three methods in terms of sensitivity (<strong>Se</strong>), positive predictive value (<strong>PPV</strong>), and F-score. The performances of the three RT-based methods (Se ≥ 90%, PPV &gt; 96% and F-score ≥ 93%) were better than those from previous work using collar-attached accelerometers, but slightly lower than methods using drinking troughs connected to electronic identification systems or methods combining accelerometers with geomagnetic sensors or with ultra-wideband location. The FallST method showed slightly better performance (highest F-score) than the FixT and Cow-dT methods. The FallST method accurately detected drinking bouts lasting more than 30 s and at least 30 min apart, with a detection time accuracy of 10 min. The models using RT curve parameters failed to predict characteristics of the drinking bouts. In conclusion, the method developed here can accurately detect drinking bouts in dairy cows using RT, but without further characterisation of the drinking bouts (e.g. duration).</div></div>","PeriodicalId":100083,"journal":{"name":"Animal - Open Space","volume":"4 ","pages":"Article 100107"},"PeriodicalIF":0.0,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145060325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cartilage volume and body composition in fattening pigs in different housing systems using magnetic resonance imaging and dual-energy X-ray absorptiometry","authors":"T. Dölle ,&nbsp;M. Bernau ,&nbsp;A.M. Scholz","doi":"10.1016/j.anopes.2025.100108","DOIUrl":"10.1016/j.anopes.2025.100108","url":null,"abstract":"<div><div>Lameness and diseases of the cartilage and skeletal system in pigs are an important animal welfare issue in connection with the goal of high profitability. The aim of the study is therefore to investigate the influence of the housing system on the expression of cartilage tissue in relation to the body composition of fattening pigs. Magnetic resonance (<strong>MR</strong>) imaging was combined with dual−energy X-ray absorptiometry (<strong>DXA</strong>) to determine cartilage and body tissue characteristics. A total of 127 crossbred pigs (Piétrain × German Landrace) were examined in 3 different fattening rounds. After the first test at a live weight of 30 kg, half of the animals in each round were randomly assigned to a fully slatted housing system (multi-purpose barn = <strong>MPB</strong>) or an outdoor climate barn (<strong>OCB</strong>) with deep litter. In this step, the aim was to achieve a balanced sex ratio of female (n = 62) and male castrated pigs (n = 65). The animals remained in the respective housing system until the end of the fattening period. Each pig was examined three times during the fattening period: at 25–30 kg (scan 30), at 60–70 kg (scan 60) and at 90–100 kg (scan 90) BW. During the MR imaging examination with a Siemens Magnetom Open, two T1-weighted sequences were created of each pig at each examination time point: a sagittal sequence of the left elbow and shoulder joint and a coronary sequence of the left and right knee joint. Subsequently, a whole-body scan was performed on each pig using the GE Lunar <em>i</em>DXA scanner and the following values were automatically determined: bone mineral density [g/cm²], absolute bone mineral content [g] (<strong>BMC</strong>), bone mineral area projection [cm²], fat tissue percentage [%] (Fat_PC), fat tissue [g], and soft lean tissue [g]. In the knee joint, there were no significant differences in cartilage volume (<strong>CVo</strong>) in relation to the housing system. In the elbow joints, however, there were significant differences in CVo at the time of scan 30 that could not be explained. In contrast, the results of the DXA study show that pigs in the OCB have significantly higher BMC values than pigs from the MPB from scan 60 onwards. These differences indicate that the housing system has an effect on bone mineralisation, but possibly not on the CVo during pig fattening.</div></div>","PeriodicalId":100083,"journal":{"name":"Animal - Open Space","volume":"4 ","pages":"Article 100108"},"PeriodicalIF":0.0,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145060322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Method: Comparing averaging methods for gas flux data generated by automated head chamber systems","authors":"M.R. Beck ,&nbsp;L.R. Thompson ,&nbsp;C.A. Moffet ,&nbsp;R.R. Reuter ,&nbsp;S.A. Gunter","doi":"10.1016/j.anopes.2025.100106","DOIUrl":"10.1016/j.anopes.2025.100106","url":null,"abstract":"<div><div>Researchers are increasingly using automated head chamber systems (GreenFeed; C-Lock inc., Rapid City, SD) for estimating gaseous emissions, such as carbon dioxide and methane, and consumption, such as oxygen. Our objective was to explore different data preprocessing methods. For this investigation, we collated data from 5 previously published manuscripts – 3 from grazing studies and 2 from studies utilizing finishing beef steers. We compared simple arithmetic or time-bin (8, 3-h intervals) averaging and least-squares means (<strong>LSMEANS</strong>) methodologies to arrive at a single estimate for each animal from gas estimates for each visit. For the LSMEANS approach, a mixed effects model was fit for each gas as the dependent variable, animal ID as fixed effects, visit duration and average airflow as covariates, and date and hour of day by animal ID as random effects. If duration and average airflow were not significant, they were removed from the model. After fitting the model, LSMEANS were generated for each animal with a standard error of the mean for each animal estimate. We then analyzed the data for each experiment according to the model presented in its respective manuscript, to obtain residual standard deviation and to calculate the coefficient of variation. Time-bin averaging increased unexplained error relative to arithmetic averaging and the LSMEANS approach. The increased unexplained error resulted in time-bin averaging having a greater coefficient of variation by 11.2% for pasture and 6.1% for finishing trials compared with arithmetic averaging and by 13.5% for pasture and 6.1% for finishing trials compared with the LSMEANS approach. We conclude that the proposed LSMEANS approach controls for any potential diurnal variation in gas flux, without increasing unexplained error as seen by time-bin averaging.</div></div>","PeriodicalId":100083,"journal":{"name":"Animal - Open Space","volume":"4 ","pages":"Article 100106"},"PeriodicalIF":0.0,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145010175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data paper: Behavioural and production data of sows fed tailored diets over three consecutive gestations","authors":"C. Ribas ,&nbsp;A. Blanc ,&nbsp;M. Simon ,&nbsp;J. Thomas ,&nbsp;N. Quiniou ,&nbsp;C. Gaillard","doi":"10.1016/j.anopes.2025.100105","DOIUrl":"10.1016/j.anopes.2025.100105","url":null,"abstract":"<div><div>This database was created to better understand the long-term impact of precision feeding (<strong>PF</strong>, i.e. delivery of an individualised mix of different diets to meet estimated individual requirements) on the performances of gestating sows, compared to sows fed a conventional feeding strategy (i.e., delivery of a single diet throughout gestation). Two experiments were carried out with feed supplies to PF sows adjusted individually and daily when they were grouped, based on energy and amino acids requirements (trial 1) and additionally on minerals during the last month of gestation (trial 2). Sows were group-housed from day 3 (trial 1) or day 25 (trial 2) to day 108 of gestation. Data were collected from sows over one to three successive gestations cumulating 58 (trial 1) or 77 (trial 2) gestations. The gestation pens were equipped with electronic feeder and water dispensers to characterise the feeding and drinking behaviours, with an automated scale to characterise the BW and with cameras to characterise the behaviour and location of sows, on a daily and individual basis. An automatic video analysis software analysed sows’ physical activity at the group scale, on three different stages of gestation. Physical activity was also recorded individually with accelerometers for a few numbers of sows. Social interactions, activities, and pen location were characterised at the individual level on specific periods from video manual analysis. Backfat thickness (<strong>BT</strong>) was measured manually with an ultrasound portable device. Cleanliness, scratches and lameness were recorded weekly during gestation. Each gestation room was equipped with devices which enable to follow ambient temperature, relative humidity, and other parameters such as noise or methane concentration. At farrowing, litter size and birthweight were measured. Data were used to analyse the effect of feeding strategies on feeding behaviour, variation of BW and BT during gestation, health status, social interactions when sows were group-housed, and litter characteristics at farrowing. The database contains a large amount of data including feed composition and intakes, behaviours, ambient parameters, and sow performances of group-housed gestating sows enabling to use unsupervised data mining approaches. Longitudinal database may be used to correlate feeding behaviour with physical activity or ambient parameters. Common phenotypes (BW, BT) collected at different key stages of gestation may be used to extend the existing dataset to have a greater statistical power.</div></div>","PeriodicalId":100083,"journal":{"name":"Animal - Open Space","volume":"4 ","pages":"Article 100105"},"PeriodicalIF":0.0,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144829403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantification of the effect of reducing dietary crude protein in broiler chickens on nitrogen flows and litter characteristics by meta-analysis","authors":"T. de Rauglaudre ,&nbsp;B. Méda ,&nbsp;S. Fournel ,&nbsp;M.-P. Létourneau-Montminy","doi":"10.1016/j.anopes.2025.100104","DOIUrl":"10.1016/j.anopes.2025.100104","url":null,"abstract":"<div><div>In broiler chickens, reducing dietary CP content is an effective strategy to improve the efficiency of dietary nitrogen (<strong>N</strong>) utilisation by broilers while reducing N losses through volatilisation. The purpose of this study was to quantify the effect of lowering dietary CP on N flows (intake, retention, excretion, manure accumulation, and volatilisation). The database included studies that measured N volatilisation using a mass balance approach. A total of nine papers describing 16 trials and 46 observations were found. The effect of CP content on N flow variables was assessed using a linear mixed-effects model with the trial as a random effect. Broilers of the control treatments ingested an average of 4.2 g of N per day and retained an average of 55% of this N. Nitrogen intake that was not retained was excreted (1.9 g/d), and 33% of this excreted N was lost through volatilisation. Reducing dietary CP by 1% point (%-point) decreased N intake by 0.21 g/d (<em>P</em> &lt; 0.001) without any effect on N retention. Nitrogen excretion and the volatility of excreted N decreased by 0.20 g/d and 4.22%-points, respectively, for each 1%-point reduction in CP content (<em>P</em> &lt; 0.001). The synergy between the reduced excreted N and its volatility decreased the amount of volatilised N by 0.12 g/d (−23%) for every 1%-point reduction in CP content (<em>P</em> &lt; 0.001). Reducing CP content also decreased litter mass (<em>P</em> &lt; 0.05) and increased its DM (<em>P</em> &lt; 0.01). The data presented show that increasing litter DM content (<em>P</em> &lt; 0.05) and lowering pH (<em>P</em> &lt; 0.001) reduces the volatility of excreted nitrogen. The results of this meta-analysis highlight the benefits of this low-CP diet for reducing N losses, and the equations created can be used in future evaluations of the effects of reducing dietary CP content.</div></div>","PeriodicalId":100083,"journal":{"name":"Animal - Open Space","volume":"4 ","pages":"Article 100104"},"PeriodicalIF":0.0,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144522178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Erratum to “A workflow to study the microbiota profile of piglet’s umbilical cord blood: from sampling to data analysis” [Animal Open Space 2 (2023) 100031]","authors":"Francesco Palumbo ,&nbsp;Marion Girard ,&nbsp;Federico Correa ,&nbsp;Giuseppe Bee ,&nbsp;Paolo Trevisi","doi":"10.1016/j.anopes.2025.100102","DOIUrl":"10.1016/j.anopes.2025.100102","url":null,"abstract":"","PeriodicalId":100083,"journal":{"name":"Animal - Open Space","volume":"4 ","pages":"Article 100102"},"PeriodicalIF":0.0,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144212801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Erratum to “Method: Standard operating procedure for the administration of swallowable devices to study pig’s gut content in a non-invasive way” [Animal Open Space 3 (2024) 100076]","authors":"I. García Viñado ,&nbsp;G. Bee ,&nbsp;P. Trevisi ,&nbsp;C. Ollagnier","doi":"10.1016/j.anopes.2025.100101","DOIUrl":"10.1016/j.anopes.2025.100101","url":null,"abstract":"","PeriodicalId":100083,"journal":{"name":"Animal - Open Space","volume":"4 ","pages":"Article 100101"},"PeriodicalIF":0.0,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144212800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}