AgResearch Limited, Ruakura Research Centre, Private Bag 3123, Hamilton, New Zealand.
AgResearch Limited, Grasslands Research Centre, Palmerston North, New Zealand.
Sci Total Environ. 2022 Apr 20;818:151681. doi: 10.1016/j.scitotenv.2021.151681. Epub 2021 Nov 15.
Nitrogen (N) excreted in urine by grazing ruminants is the main source of N loss from pasture-based agriculture. In this study we used cow-attached urine sensors to measure the between-cow, between-day, within day diel and between-season patterns in the urination events from grazing cattle. The urine sensor was deployed for four days to estimate the time, frequency, duration, flow rate, volume, N concentration and N load of individual urination events from 13 to 15 cows per trial in autumn, winter, and spring. Repeat measurements were also obtained on cows in the autumn, winter, and spring trials. There was seasonal variation in the urination traits, with lower N output per event and N output per day in autumn. The urination events exhibited significant diel patterns, with a 2 to 5-fold diel variation in all urination traits. The diel patterns for each urination trait also displayed three distinct peaks and three distinct minima at times that were approximately consistent between seasons. We also established between-cow variability in the diel amplitude of each urination trait. Low amplitude diel cows are likely to have a lower N loss potential as they excrete a lower proportion of very large N load events, which far exceed the ability of pasture to utilize the excreted N. The duration of urination can predict event volume (RMSE = 0.8 L) and the combination of duration and frequency can predict event N load (R = 0.67). The between-cow variability in the urination event traits had coefficients of variation that range from 10 to 20% (ratio of standard deviation to the mean), and the between-day variation in the urination traits ranged from 7 to 20%. There is therefore potential to identify cows that for a fixed N intake excrete a lower N load per urination event over an entire season.
反刍动物通过尿液排泄的氮(N)是草原农业中 N 损失的主要来源。在这项研究中,我们使用牛附着式尿液传感器来测量放牧牛的个体排尿事件的个体间、个体内、日内昼夜和季节间变化。在秋季、冬季和春季的每个试验中,我们使用尿液传感器进行了四天的测量,以估算每个试验中 13 至 15 头奶牛的排尿时间、频率、持续时间、流速、尿量、N 浓度和 N 负荷。在秋季、冬季和春季试验中还对奶牛进行了重复测量。排尿特征存在季节性变化,秋季每排尿事件和每天的 N 输出量较低。排尿事件表现出明显的昼夜模式,所有排尿特征的昼夜变化均为 2 至 5 倍。每个排尿特征的昼夜模式在季节之间基本一致的时间内也显示出三个明显的高峰和三个明显的低谷。我们还确定了每个排尿特征昼夜振幅的个体间变异性。低振幅昼夜牛的 N 损失潜力可能较低,因为它们排泄的非常大的 N 负荷事件比例较低,远远超过了草原利用排泄 N 的能力。排尿持续时间可以预测事件的尿量(RMSE=0.8L),而持续时间和频率的组合可以预测事件的 N 负荷(R=0.67)。排尿事件特征的个体间变异性的变异系数范围为 10%至 20%(标准差与平均值的比值),排尿特征的日间变异性范围为 7%至 20%。因此,有可能确定在整个季节内,对于固定的 N 摄入量,每排尿事件排泄的 N 负荷较低的奶牛。