ABSTRACT Uncertainty assessment of the breath methane concentration method to determine methane production of dairy cows
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Uncertainty assessment of the breath methane concentration method to determine methane production of dairy cows

机译:呼吸甲烷浓度法测定奶牛甲烷产量的不确定度评估

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ABSTRACTThe breath methane concentration method uses the methane concentrations in the cow's breath during feed bin visits as a proxy for the methane production rate. The objective of this study was to assess the uncertainty of a breath methane concentration method in a feeder and its capability to measure and rank cows' methane production. A range of controlled methane fluxes from a so-called artificial reference cow were dosed in a feed bin, and its exhaled air was sampled by a tube inside the feeder and analyzed. The artificial reference cow simulates the lungs, respiratory tract, and rumen of a cow and releases a variable methane flux to generate a concentration pattern in the exhaled breath that closely resembles a real cow's pattern. The strength of the relation between the controlled methane release rates of the artificial reference cow and the measured methane concentrations was analyzed by linear regression, using the coefficient of determination (R2) and the residual standard error as performance indicators. The effect of error sources (source-sampling distance, air turbulence, and cow's head movement) on this relation was experimentally investigated, both under laboratory and barn conditions. From the laboratory to the dairy barn at the 30-cm sampling distance, the R2-value decreased from 0.97 to 0.37 and the residual standard error increased from 75 to 86 ppm as a result of barn air turbulence, the latter increasing to a theoretical 94 ppm if modeled variability due to cow's head movement was accounted for as well. In practice, the effect of these random errors can be compensated by sampling strategies including repeated measurements on each cow over time, thus increasing the distinctive power between cows. However, systematic errors that may disturb the relation between concentration and production rate, such as cow variation in air exhalation rate and air flow patterns around sampling locations that differ between barns, cannot be compensated by repeated measurements. As a result, the methane concentrations of breath air will vary between cows with the same methane production. We conclude that the capability of the breath concentration measurement method to adequately measure and rank methane production rates among cows is highly uncertain and requires further investigation into variation sources with a systematic nature.
机译: 抽象 呼吸甲烷浓度法使用在饲料箱访问期间奶牛呼吸中的甲烷浓度作为甲烷产生速率的代表。这项研究的目的是评估饲喂器中呼吸甲烷浓度方法的不确定性及其测量和排名奶牛甲烷产量的能力。将一定范围内来自所谓的人工参比奶牛的受控甲烷通量分配到一个进料箱中,并通过进料器内的一根管对它的呼出空气进行采样并进行分析。人工参比牛模拟了牛的肺,呼吸道和瘤胃,并释放出可变的甲烷通量,以在呼出气中产生与真实牛的形态极为相似的浓度形态。使用确定系数,通过线性回归分析了人工参考母牛的受控甲烷释放​​速率与所测甲烷浓度之间的关系强度(R 2 ),并将残留标准误差作为性能指标。在实验室和谷仓条件下,通过实验研究了误差源(源采样距离,空气湍流和牛头运动)对这种关系的影响。从实验室到奶牛仓,在30厘米的采样距离处,R 2 值从0.97降低到0.37,残留标准误差从75增加到谷仓空气湍流的结果是86 ppm,如果考虑到由于牛头运动造成的模型可变性,后者也会增加到理论上的94 ppm。在实践中,这些随机误差的影响可以通过采样策略进行补偿,包括随时间对每头母牛进行重复测量,从而提高了母牛之间的独特能力。但是,可能干扰集中度与生产率之间关系的系统误差,例如奶牛的呼气率变化以及在各个谷仓之间采样位置不同的采样点周围的气流模式,无法通过重复测量来补偿。结果,在具有相同甲烷产生量的母牛之间,呼吸空气中的甲烷浓度会有所不同。我们得出的结论是,呼吸浓度测量方法能否正确测量和排名奶牛中的甲烷产生率尚不确定,因此需要对具有系统性质的变异源进行进一步研究。

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