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用于测量放牧奶牛尿液体积和氮浓度的远程采样传感器的验证

Validation of a Remote Sampling Sensor for Measuring Urine Volume and Nitrogen Concentration in Grazing Dairy Cattle.

作者信息

Mangwe Mancoba C, Beale Nigel, Beckett Paige, Tey Lucas, Curtis Jeffery, Burgess Riki, Bryant Racheal H

机构信息

Faculty of Agriculture and Life Sciences, Lincoln University, Lincoln 7647, New Zealand.

出版信息

Animals (Basel). 2024 Oct 15;14(20):2977. doi: 10.3390/ani14202977.

Abstract

The purpose of this research was to validate a urine sensor (Lincoln University PEETER V2.0, Canterbury, New Zealand) that records the time and volume of urination events for dairy cows in addition to collecting a proportional urine sample from all urination events. Sixteen multiparous Holstein × Jersey mid-lactating cows (101 ± 5 days in milk, 498 ± 24.2 kg body weight, 26.2 ± 3.07 kg/d milk yield; mean ± standard deviation) were allocated herbage diets ranging in protein and sodium content to generate a range of urine volumes and urine nitrogen (UN) concentrations. Total collection of individual urination events occurred during a 72-h measurement period where PEETER V2.0 sensors were attached to cows. A mixed model ANOVA using lme4 package (version 1.1-35.5) in R (version 4.3.3) were used to compare the means. The average urine event size was 2.65 ± 1.1 L for total collection by observers and 2.68 ± 1.1 L as recorded by the sensor (mean ± standard deviation; = 0.730). The urine nitrogen concentration was 5.76 ± 1.2 g N/L for samples collected by observers and 5.85 ± 1.3 g N/L for the samples collected by the sensor ( = 0.583). The calculated UN excretion was 156 ± 45.1 g/day for direct measurements and 162 ± 40.0 g/day for the sensor ( = 0.539. Contrasts with simultaneously measured data were undertaken using Lin's Concordance Correlation Coefficient (CCC) and a Pearson correlation coefficient (r). Correlations between the actual values and sensor values were strong, with little to moderate variability in the urine volume (CCC = 0.936, r = 0.937; = 222), UN concentration (CCC = 0.840, r = 0.837, = 48) and total UN excretion (CCC = 0.827, r = 0.836, = 24). Considering the findings, the PEETER V2.0 urine sensor has the potential to reliably measure urine volumes and UN concentrations for estimations of the UN excretion of dairy cattle under grazing systems.

摘要

本研究的目的是验证一种尿液传感器(林肯大学PEETER V2.0,新西兰坎特伯雷),该传感器除了从所有排尿事件中采集一份比例尿液样本外,还能记录奶牛排尿事件的时间和尿量。16头经产荷斯坦×泽西中期泌乳奶牛(产奶101±5天,体重498±24.2千克,日产奶量26.2±3.07千克;均值±标准差)被分配到蛋白质和钠含量不同的牧草日粮中,以产生一系列尿量和尿氮(UN)浓度。在72小时的测量期内,将PEETER V2.0传感器连接到奶牛身上,对个体排尿事件进行全面收集。使用R(版本4.3.3)中的lme4包(版本1.1 - 35.5)进行混合模型方差分析来比较均值。观察者全面收集的平均尿量为2.65±1.1升,传感器记录的为2.68±1.1升(均值±标准差;P = 0.730)。观察者采集的样本尿氮浓度为5.76±1.2克氮/升,传感器采集的样本为5.85±1.3克氮/升(P = 0.583)。直接测量计算出的UN排泄量为156±45.1克/天,传感器测量的为162±40.0克/天(P = 0.539)。使用林氏一致性相关系数(CCC)和皮尔逊相关系数(r)与同步测量数据进行对比。实际值与传感器值之间的相关性很强,尿量的变异性较小到中等(CCC = 0.936,r = 0.937;P = 222),UN浓度(CCC = 0.840,r = 0.837,P = 48)和总UN排泄量(CCC = 0.827,r = 0.836,P = 24)。考虑到这些发现,PEETER V2.0尿液传感器有潜力可靠地测量尿量和UN浓度,以估计放牧系统下奶牛的UN排泄量。

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