Interchangeability between methane measurements in dairy cows assessed by comparing precision and agreement of two non-invasive infrared methods

•Developed an algorithm for detecting and correcting time shifts between time series.•Compared instruments simultaneously to identify and correct sources of disagreement.•Demonstrated the effect of averaging readings over a longer period of time to reduce error. In this study we assess the interchan...

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Bibliographic Details
Published in:Computers and electronics in agriculture 2016-06, Vol.124, p.220-226
Main Authors: Difford, G.F., Lassen, J., Løvendahl, P.
Format: Article
Language:English
Subjects:
Algorithms
Calibration
Carbon dioxide
Equivalence
Genetics
Infrared
Instrument comparison
Interchangeability
Methane
Population (statistical)
Sniffer
Statistical agreement
Time series
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Summary:•Developed an algorithm for detecting and correcting time shifts between time series.•Compared instruments simultaneously to identify and correct sources of disagreement.•Demonstrated the effect of averaging readings over a longer period of time to reduce error. In this study we assess the interchangeability and statistical agreement of two prevalent instruments from the non-invasive “sniffer” method and compare their precision. Furthermore, we develop and validate an effective algorithm for aligning time series data from multiple instruments to remove the effects of variable and fixed time shifts from the instrument comparison. The CH4 and CO2 gas concentrations for both instruments were found to differ for population means (P
ISSN:0168-1699
1872-7107
DOI:10.1016/j.compag.2016.04.010