Animal - Open Space最新文献

{"title":"Data Paper: HotPig, a behavioural dataset of pigs under heat stress","authors":"L. Bonneau de Beaufort ,&nbsp;C. Xavier ,&nbsp;D. Renaudeau ,&nbsp;C. Largouet ,&nbsp;F. Gondret","doi":"10.1016/j.anopes.2025.100112","DOIUrl":"10.1016/j.anopes.2025.100112","url":null,"abstract":"<div><div>The widespread use of videos in modern indoor livestock facilities coupled with the availability of efficient and low-cost computer vision algorithms provides strong incentives for continuously monitoring farm animal behaviour. Deciphering how pigs behave when experiencing prolonged heat stress is particularly important for animal welfare, as it helps us to better understand how animals use various thermoregulation and heat dissipation mechanisms. Data were collected on 24 pigs that were video-monitored day and night under two contrasted conditions: thermoneutral (<strong>TN</strong>, 22 °C) and heat stress (<strong>HS</strong>, 32 °C). All pigs were housed individually and had free access to an automatic feeder delivering pellets four times a day, and to water. After acquisition, videos were processed using YOLOv11, a real-time object detection algorithm that uses a convolutional neural network (<strong>CNN</strong>), to extract the following behavioural traits: drinking, willingness to eat, lying down, standing up, moving around, curiosity towards the littermate housed in the neighbouring pen, and contact between the two animals (cuddling). A minute frequency sampling rate was applied (each minute corresponds to 150 frames processed) for a continuous period of 16 days, spanning the two different thermal conditions (9 days on TN, 6 days on HS, 1 day back to TN). Consistency with the automatic electronic feeder’s data (also provided) was thoroughly checked. The dataset allows quantitative criterion to be analysed to decipher inter-individual differences in animal behaviour and their dynamic adaptation to heat stress. This dataset can be used to train any machine learning methods for behaviour prediction from videos in conventional growing pigs.</div></div>","PeriodicalId":100083,"journal":{"name":"Animal - Open Space","volume":"5 ","pages":"Article 100112"},"PeriodicalIF":0.0,"publicationDate":"2026-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145705857","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":"Dataset of zootechnical, biological, oocyte and embryo production indicators, from ewes with contrasted metabolic status and submitted to chronic bisphenol S exposure","authors":"A. Desmarchais ,&nbsp;S. Fréret ,&nbsp;S. Uzbekova ,&nbsp;V. Maillard ,&nbsp;S. Elis","doi":"10.1016/j.anopes.2024.100088","DOIUrl":"10.1016/j.anopes.2024.100088","url":null,"abstract":"<div><div>This dataset consists of raw data from an experimental design in the ovine model: zootechnical traits, biological indicators, oocyte collection and embryo production from ewes with contrasted metabolic status and submitted to chronic Bisphenol S (<strong>BPS</strong>) exposure. For 2 consecutive years, 120 primiparous ewes (60 different ewes for each year) were managed in a loose sheepfold, assigned to two diet groups − Restricted (<strong>R</strong>, n = 30) and Well-fed (<strong>WF</strong>, n = 30) − and supplemented with or without BPS (0, 4 or 50 μg/kg/day), generating six experimental groups named R-0, R-4, R-50, WF-0, WF-4, and WF-50 (n = 10 ewes/group). Oocyte collection was carried out during the breeding season of sheep between September and December. Diet management started in May and BPS treatment started in June, that is to say at least 3 months before oocyte collection. The dataset presents zootechnical traits (age, live weight, body condition score), metabolic indicators and hormones concentrations measured in plasma (non-esterified fatty acids, glucose, thyroid hormones, Anti-Mullerian hormone, progesterone, oestradiol and other steroids) as well as in follicular fluid for some of them (progesterone, oestradiol and others steroids), BPS and BPS-glucuronide concentrations in plasma and urine, data from follicular puncture and oocyte collection by ovum pick-up followed by <em>in vitro</em> embryo production (during the 2nd year of experiment). This large dataset can be re-used on the one hand by researchers working on reproductive physiology in interaction with energy metabolism in ruminants, to further investigate the effects of a restricted diet; on the other hand, by toxicologists and endocrinologists to investigate the effects of BPS (potential endocrine disruptor) on several hormones (i.e. steroids) and metabolites.</div></div>","PeriodicalId":100083,"journal":{"name":"Animal - Open Space","volume":"4 ","pages":"Article 100088"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143182051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effects of dietary oregano essential oil on production, blood parameters, and egg quality of laying hens during the early lay phase","authors":"A.M. Johnson ,&nbsp;M.G. Anderson ,&nbsp;M. Arguelles-Ramos ,&nbsp;A.B.A. Ali","doi":"10.1016/j.anopes.2024.100090","DOIUrl":"10.1016/j.anopes.2024.100090","url":null,"abstract":"<div><div>Essential oils can be used as an alternative to antibiotics for health promotion in livestock. The essential oil of oregano (<strong>EOO</strong>) can have positive effects on poultry. This study aimed to explore the effects of EOO on performance, blood lipid profile, antioxidant capacity, and egg quality in Hy-line Brown layers during the peak laying phase. A total of 270 hens at 24 weeks of age were given, at random, a corn-soybean-based control diet, or the diet supplemented with a commercial EOO product (275 mg/1 kg control diet). Feed and bird weights and egg quality were measured at 24, 30, 36, and 40 weeks while blood samples were taken at 24, 36, and 40 weeks. Differences were measured between treatments and across weeks using generalised linear mixed models and Tukey’s posthoc test for significant differences (α = 0.05) in R 3.3.1. Feed conversion ratio was lower in EOO at 30 and 40 weeks than in control birds (<em>P</em> &lt; 0.05). At 24 and 36 weeks, certain blood lipids- triglycerides and cholesterol- were significantly lower while high-density lipoproteins were significantly higher in hens supplemented with EOO (<em>P</em> &lt; 0.05). Antioxidant parameters, including total antioxidant capacity and antioxidant enzymes, were higher at all timepoints in the oregano group compared to the control at all timepoints (<em>P</em> &lt; 0.05). The measure of lipid peroxidation was statistically lower at all timepoints in EOO birds (<em>P</em> &lt; 0.05). Indicators of liver health were significantly lower at certain ages in the EOO group compared to the control group. Indicators of internal egg quality were significantly higher in eggs from the EOO group (<em>P</em> &lt; 0.05), but no differences in external quality were identified. Lastly, levels of egg yolk lipid peroxidation were lower in EOO eggs compared to the control at all timepoints (<em>P</em> &lt; 0.05). In conclusion, oregano essential oil has many benefits, and it may be one potential source of health enhancement in laying hens. Oregano essential oil may be a good option for producers to maximise their flock longevity and enhance potential profit from eggs.</div></div>","PeriodicalId":100083,"journal":{"name":"Animal - Open Space","volume":"4 ","pages":"Article 100090"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143182044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","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":"2025-12-01","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":"Using respiratory gas flux and backward dietary energy partitioning to estimate energy intake by beef cattle when fed a high-concentrate diet","authors":"E.J. Friend ,&nbsp;S.A. Gunter ,&nbsp;A. Stamps ,&nbsp;P.A. Beck","doi":"10.1016/j.anopes.2025.100113","DOIUrl":"10.1016/j.anopes.2025.100113","url":null,"abstract":"<div><div>Twelve Charolais steers (initial shrunk BW = 223 ± 21.5 kg) were used in a 73-d feeding experiment to evaluate the use of CH₄ and CO₂ emissions, and O₂ consumption as biomarkers in the estimation of energy intake by growing beef cattle fed a high-concentrate diet when integrated with backward dietary energy partitioning calculations. Steers were housed in a pen equipped with Calan gates with access to an automated head-chamber system (<strong>AHCS</strong>). Steers were randomly assigned to 1 of 3 treatments according to DM intake as a multiple of maintenance, which are 1.1 (<strong>1.1M</strong>, n = 4), 1.4 (<strong>1.4M</strong>, n = 4), and 1.8 (<strong>1.8M</strong>, n = 4) of a 13.0 MJ/kg diet. The diet fed was 350 g of chopped sorghum hay (CP = 64 g/kg of DM; <em>in vitro</em> digestibility = 578 g/kg of organic matter (<strong>OM</strong>)) and 650 g of concentrate (CP = 191 g/kg of DM; <em>in vitro</em> digestibility = 918 g/kg of OM)/kg of DM. The concentrate consisted of 418 g of flaked corn, 85 g of cottonseed meal, 130 g of distillers’ grain, and 175 g of limestone/kg of DM. Steers were supplemented daily with 1.0 kg of alfalfa pellets (<em>Medicago sativa;</em> CP = 166 g/kg of DM; <em>in vitro</em> digestibility = 870 g/kg of OM) that were fed through the AHCS as bait. Methane tended (<em>P</em> = 0.07), and CO₂ emissions and O₂ consumption (<em>P</em> &lt; 0.01) increased with the increasing feeding rates. Calculated intake for gross energy (<strong>GE</strong>; 71.4, 86.9, and 106.7 MJ/d, respectively), digestible energy (<strong>DE</strong>; 61.1, 72.1, 86.7 MJ/d, respectively), and metabolisable energy (<strong>ME</strong>; 50.35, 60.19, 73.30 MJ/d, respectively) increased concurrently with the increases in energy retention and heat production. The predicted intake rates for GE (63.1, 78.3, and 93.9 MJ/d, respectively), DE (52.8, 63.9, and 73.6 MJ/d, respectively), and ME (42.0, 52.0, and 60.2 MJ/d, respectively) increased concurrently with the increase from 1.1M to 1.8M. Pearson correlations of calculated and predicted GE, DE, and ME intake rates agreed closely (r = 0.95, 0.88, and 0.85, respectively). This experiment shows that with multiple short-term breath measurements from an AHCS, BW, and an estimate of average daily gain that GE, DE, and ME intakes by cattle consuming a high-concentrate diet can be predicted.</div></div>","PeriodicalId":100083,"journal":{"name":"Animal - Open Space","volume":"4 ","pages":"Article 100113"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145527899","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":"2025-12-01","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":"Method: Using a commercial precision livestock farming activity collar to automatically record and classify dairy cow activity at pasture","authors":"M. Bouchon ,&nbsp;H. Chanel ,&nbsp;L. Rouchez ,&nbsp;B. Martin ,&nbsp;M. Coppa","doi":"10.1016/j.anopes.2025.100099","DOIUrl":"10.1016/j.anopes.2025.100099","url":null,"abstract":"<div><div>Precision livestock farming technologies are increasingly being implemented on farms to enhance the management of key processes such as reproduction and feeding. Accelerometer technologies are the most spread and are able to provide a large quantity of data on animal activity. However, these data need to be validated against gold standards before being used further in research. We aim at validating the output from Axel Medria® device, a three-axis accelerometer sensor that automatically processes the raw data and classifies the main activity by 5−min epoch, for which the manufacturer does not disclose the classification algorithm. Two groups of six cows were observed during 30 h each, grazing on pasture, during two trials. The objective was to compare the agreement between sensor data and visual observations at different time windows. We used a confusion matrix analysis to assess the correspondence between visual observation and the output of the Medria algorithm and linear regressions associated along with a Bland-Altman analysis to compare the time budgets retrieved from the two sources. We focused on three activities (grazing, ruminating and resting) and on the posture of the animal (standing/lying). Sensitivity was &gt;73.5% for all activities except for resting (48.8%). Specificity reached 87.6–91.9% for all activities but posture showed a poorer result (67.0%). Nevertheless, accuracy was above 80% for the three activities and the posture and precision were more variable, the best results being obtained for posture (88.3%) and for grazing (93.6%). Linear regressions showed slopes between 0.73 and 0.99 for all activities and of 0.81 for posture, but differences between observers across the two trials have been observed for resting. <em>R</em>² were more variable, ranging from 0.30 (for resting in second year) to 0.84 for grazing. The Bland-Altman analysis showed good results despite significant bias for grazing, rumination and resting (only the first year). Due to the technology embedded in Axel Medria ® sensors, their performances were slightly lower than that of other devices which technologies are more precise for estimating specific behaviour (e.g. recording jaw movements is more precise to detect rumination). Nevertheless, Axel Medria ® sensors can provide indicators on different activities and over longer periods of time. The tested device, largely applied on commercial farms, showed good agreement with visual observation. Data can thus be used as a proxy to study dairy cow behaviour at pasture, on large cow groups over a long time, in experimental or commercial farms.</div></div>","PeriodicalId":100083,"journal":{"name":"Animal - Open Space","volume":"4 ","pages":"Article 100099"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144168758","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":"2025-12-01","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":"Apparent zinc absorption in Ayrshire and Holstein lactating cows","authors":"M. Duplessis ,&nbsp;F. Hassanat ,&nbsp;C. Côrtes ,&nbsp;C. Benchaar","doi":"10.1016/j.anopes.2025.100096","DOIUrl":"10.1016/j.anopes.2025.100096","url":null,"abstract":"<div><div>There is a lack of data about potential differences in trace mineral absorption within dairy cow breeds. The objective of this study was to evaluate if apparent zinc absorption between Ayrshire and Holstein lactating cows differs. A total of 12 multiparous cows (six Ayrshire and six Holstein) were used in a replicated 3 × 3 Latin square design with periods of 35-day duration (26 days of diet adaptation followed by data collection). Daily intake and total fecal collection were performed on 7 consecutive days. Daily samples of total mixed ration, refusals, and feces were composited by week and analysed for zinc concentration by atomic absorption spectrometry. Apparent absorption was calculated as daily dietary intake minus excretion in feces over dietary intake. The percentage of inclusion of the mineral and vitamin supplement was 1.56 and 1.47% for Ayrshire and Holstein cows, respectively, accounting for different milk production, BW, and DM intake between the two breeds. Dry matter intake of Ayrshire cows averaged 20.5 (standard error (<strong>SE</strong>): 0.8) kg/day and 25.8 (SE: 0.8) kg/day for Holstein cows resulting in a tendency for Holstein cows to ingest greater quantity of zinc. Zinc excretion was significantly greater for Holstein compared to Ayrshire cows but this was not translated into different apparent absorption. Averaged apparent zinc absorption did not differ between breeds and was 21 and 16% for Ayrshire and Holstein, respectively, with a range from −15–31%, regardless of the breed. In summary, averaged apparent zinc absorption was similar between breeds and was in line with the values reported in the literature. However, under the current experimental conditions, the technique using dietary intake minus fecal output to measure apparent zinc absorption led to an important variation between animals.</div></div>","PeriodicalId":100083,"journal":{"name":"Animal - Open Space","volume":"4 ","pages":"Article 100096"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143527435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","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":"2025-12-01","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}