Interchangeability between methane measurements in dairy cows assessed by comparing precision and agreement of two non-invasive infrared methods
作者： G.F. Difford , J. Lassen , P. Løvendahl
DOI: 10.1016/J.COMPAG.2016.04.010
关键词: Non invasive 、 Statistics 、 Noise reduction 、 Statistical power 、 Interchangeability 、 Mathematics 、 Population 、 Effective algorithm 、 Fixed time 、 Time series
摘要: Developed an algorithm for detecting and correcting time shifts between series.Compared instruments simultaneously to identify correct sources of disagreement.Demonstrated the effect averaging readings over a longer period reduce error. In this study we assess interchangeability statistical agreement two prevalent from non-invasive "sniffer" method compare their precision. Furthermore, develop validate effective aligning series data multiple remove effects variable fixed instrument comparison. The CH4 CO2 gas concentrations both were found differ population means (P<0.05) intra-cow variation (precision) inter-cow (P<0.05). can be used interchangeably increase power example, in genetic evaluations, provided disagreement are corrected through calibration standardisation. Additionally, cows (one week) is noise reduction technique which provides phenotypes with considerable variation.
core.ac.uk 
sci-hub.se 参考文章(25)
Bendix Carstensen, Comparing Clinical Measurement Methods: A Practical Guide ,(2010)
G. Tempio, C. Opio, B. Henderson, P. J. Gerber, A. Mottet, A. Falcucci, H. Steinfeld, J. Dijkman, Tackling climate change through livestock : a global assessment of emissions and mitigation opportunities Tackling climate change through livestock: a global assessment of emissions and mitigation opportunities.. ,(2013)
Julien Ridoux, Darryl Veitch, A Methodology for Clock Benchmarking testbeds and research infrastructures for the development of networks and communities. pp. 1- 10 ,(2007) , 10.1109/TRIDENTCOM.2007.4444689
Michael G. Kenward, James H. Roger, Small Sample Inference for Fixed Effects from Restricted Maximum Likelihood Biometrics. ,vol. 53, pp. 983- 997 ,(1997) , 10.2307/2533558
P. Løvendahl, M.A. Bjerring, Detection of carryover in automated milk sampling equipment Journal of Dairy Science. ,vol. 89, pp. 3645- 3652 ,(2006) , 10.3168/JDS.S0022-0302(06)72404-3
P.C. Garnsworthy, J. Craigon, J.H. Hernandez-Medrano, N. Saunders, Variation among individual dairy cows in methane measurements made on farm during milking. Journal of Dairy Science. ,vol. 95, pp. 3181- 3189 ,(2012) , 10.3168/JDS.2011-4606
Anuradha Roy, An application of linear mixed effects model to assess the agreement between two methods with replicated observations. Journal of Biopharmaceutical Statistics. ,vol. 19, pp. 150- 173 ,(2009) , 10.1080/10543400802535141
P. Huhtanen, E.H. Cabezas-Garcia, S. Utsumi, S. Zimmerman, Comparison of methods to determine methane emissions from dairy cows in farm conditions. Journal of Dairy Science. ,vol. 98, pp. 3394- 3409 ,(2015) , 10.3168/JDS.2014-9118
P.C. Garnsworthy, J. Craigon, J.H. Hernandez-Medrano, N. Saunders, On-farm methane measurements during milking correlate with total methane production by individual dairy cows Journal of Dairy Science. ,vol. 95, pp. 3166- 3180 ,(2012) , 10.3168/JDS.2011-4605
J. Martin Bland, DouglasG. Altman, Statistical methods for assessing agreement between two methods of clinical measurement. The Lancet. ,vol. 327, pp. 307- 310 ,(1986) , 10.1016/S0140-6736(86)90837-8