School of Natural Sciences, Bangor University, Bangor, Gwynedd LL57 2UW, UK; Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, Victoria 3010, Australia.
Department of Biosciences, College of Science, Swansea University, Singleton Park, Swansea SA2 8PP, UK.
Animal. 2021 Jun;15(6):100234. doi: 10.1016/j.animal.2021.100234. Epub 2021 Jun 4.
Urine patches deposited in pasture by grazing animals are sites of reactive nitrogen (N) loss to the environment due to high concentrations of N exceeding pasture uptake requirements. In order to upscale N losses from the urine patch, several urination parameters are required, including where, when and how often urination events occur as well as the volume and chemical composition. There are limited data available in this respect, especially for sheep. Here, we seek to address this knowledge gap by using non-invasive sensor-based technology (accelerometers) on ewes grazing in situ, using a Boolean algorithm to detect urination events in the accelerometer signal. We conducted an initial study with penned Welsh Mountain ewes (n = 5), with accelerometers attached to the hind, to derive urine flow rate and to determine whether urine volume could be estimated from ewe squat time. Then accelerometers attached to the hind of Welsh Mountain ewes (n = 30 at each site) were used to investigate the frequency of sheep urination events (n = 35 946) whilst grazing two extensively managed upland pastures (semi-improved and unimproved) across two seasons (spring and autumn) at each site (35-40 days each). Sheep urinated at a frequency of 10.2 ± 0.2 and 8.1 ± 0.3 times per day in the spring and autumn, respectively, while grazing the semi-improved pasture. Urination frequency was greater (19.0 ± 0.4 and 15.3 ± 0.3 times per day in the spring and autumn, respectively) in the unimproved pasture. Ewe squat duration could be reliably used to predict the volume of urine deposited per event and was thus used to estimate mean daily urine production volumes. Sheep urinated at a rate of 16.6 mL/s and, across the entire dataset, sheep squatted for an average of 9.62 ± 0.03 s per squatting event, producing an estimated average individual urine event volume of 159 ± 1 mL (n = 35 946 events), ranging between 17 and 745 mL (for squat durations of 1 to 45 s). The estimated mean daily urine volume was 2.15 ± 0.04 L (n = 2 669 days) across the entire dataset. The data will be useful for modelling studies estimating N losses (e.g. ammonia (NH) volatilisation, nitrous oxide (NO) emission via nitrification and denitrification and nitrate (NO) leaching) from urine patches.
尿液斑是放牧动物在牧场上排泄的部位,由于氮(N)浓度超过牧草吸收要求,因此是向环境中释放活性氮(N)的地点。为了扩大尿液斑的 N 损失,需要几个排尿参数,包括排尿事件发生的地点、时间和频率,以及体积和化学成分。在这方面,特别是对于绵羊,可用的数据有限。在这里,我们使用基于传感器的非侵入性技术(加速度计)来解决这个知识空白,在现场放牧的母羊身上使用布尔算法来检测加速度计信号中的排尿事件。我们进行了一项初步研究,将加速度计附着在圈养的威尔士山地羊(n = 5)的臀部上,以得出尿流量,并确定是否可以根据母羊蹲坐时间来估计尿量。然后,在每个地点的两个季节(春季和秋季)中,将附着在威尔士山地羊臀部上的加速度计(每个地点各 30 只)用于研究绵羊排尿事件的频率(n = 35946),同时在两个广泛管理的高地牧场(半改良和未改良)上放牧(每个地点 35-40 天)。春季和秋季,绵羊在半改良牧场上的排尿频率分别为 10.2 ± 0.2 和 8.1 ± 0.3 次/天,而在未改良牧场上的排尿频率更高(春季和秋季分别为 19.0 ± 0.4 和 15.3 ± 0.3 次/天)。母羊蹲坐时间可用于可靠地预测每次排尿的尿量,因此可用于估计每日平均排尿量。绵羊的排尿速度为 16.6 mL/s,在整个数据集内,绵羊每次蹲坐的平均时间为 9.62 ± 0.03 s,估计每次排尿事件的平均个体尿量为 159 ± 1 mL(n = 35946 次事件),范围在 17 到 745 mL 之间(蹲坐时间为 1 到 45 s)。整个数据集的平均每日尿液量估计为 2.15 ± 0.04 L(n = 2669 天)。这些数据将有助于对估计尿液斑中 N 损失(例如氨(NH)挥发、硝化和反硝化产生的一氧化二氮(NO)排放以及硝酸盐(NO)淋失)的模型研究。