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      Comparison of Methods to Measure Methane for Use in Genetic Evaluation of Dairy Cattle

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          Abstract

          Simple Summary

          Methane is a greenhouse gas with a global warming potential 28 times that of CO 2. Enteric methane accounts for 17% of global methane emissions and 3.3% of total global greenhouse gas emissions from human activities. There is, therefore, significant research interest in finding ways to reduce enteric methane emissions by ruminants. Partners in Expert Working Group 2 (WG2) of the European Cooperation in Science and Technology (COST) Action METHAGENE have used several methods for measuring methane output by individual dairy cattle under various environmental conditions. Methods included respiration chambers, the sulphur hexafluoride (SF 6) tracer technique, breath sampling during milking or feeding, the GreenFeed system, and the laser methane detector. Respiration chambers are considered the ‘gold standard’, but are unsuitable for large-scale measurements of methane emissions, which are needed for genetic evaluations. In this study, the suitability of methods for large-scale studies was reviewed and compared. All methods showed high correlations with respiration chambers, but comparisons among alternative methods generally had lower correlations. Results confirm, however, that there is sufficient correlation between methods for measurements from all methods to be combined, with appropriate weightings, for use in international genetic studies. This will pave the way for breeding cattle with lower methane emissions.

          Abstract

          Partners in Expert Working Group WG2 of the COST Action METHAGENE have used several methods for measuring methane output by individual dairy cattle under various environmental conditions. Methods included respiration chambers, the sulphur hexafluoride (SF 6) tracer technique, breath sampling during milking or feeding, the GreenFeed system, and the laser methane detector. The aim of the current study was to review and compare the suitability of methods for large-scale measurements of methane output by individual animals, which may be combined with other databases for genetic evaluations. Accuracy, precision and correlation between methods were assessed. Accuracy and precision are important, but data from different sources can be weighted or adjusted when combined if they are suitably correlated with the ‘true’ value. All methods showed high correlations with respiration chambers. Comparisons among alternative methods generally had lower correlations than comparisons with respiration chambers, despite higher numbers of animals and in most cases simultaneous repeated measures per cow per method. Lower correlations could be due to increased variability and imprecision of alternative methods, or maybe different aspects of methane emission are captured using different methods. Results confirm that there is sufficient correlation between methods for measurements from all methods to be combined for international genetic studies and provide a much-needed framework for comparing genetic correlations between methods should these become available.

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          Most cited references38

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          Influence of hydrogen on rumen methane formation and fermentation balances through microbial growth kinetics and fermentation thermodynamics

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            Nutritional management for enteric methane abatement: a review

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                Author and article information

                Journal
                Animals (Basel)
                Animals (Basel)
                animals
                Animals : an Open Access Journal from MDPI
                MDPI
                2076-2615
                21 October 2019
                October 2019
                : 9
                : 10
                : 837
                Affiliations
                [1 ]School of Biosciences, University of Nottingham, Sutton Bonington Campus, Loughborough LE12 5RD, UK; Matthew.Bell@ 123456nottingham.ac.uk
                [2 ]Department of Molecular Biology and Genetics—Center for Quantitative Genetics and Genomics, Aarhus University, Blichers Allé 20, 8830 Tjele, Denmark; garethdifford@ 123456gmail.com (G.F.D.); jan.lassen@ 123456mbg.au.dk (J.L.)
                [3 ]Animal Breeding and Genomics, Wageningen University & Research, P.O. Box 338, 6700 AH Wageningen, The Netherlands; marleen.visker@ 123456frieslandcampina.com
                [4 ]Milk Production, Production Systems, Natural Resources Institute Finland (Luke), FI 31600 Jokioinen, Finland; alireza.bayat@ 123456luke.fi
                [5 ]Department of Agricultural Research for Northern Sweden, Swedish University of Agricultural Sciences, SE-901 83 Umeå, Sweden; Pekka.Huhtanen@ 123456slu.se
                [6 ]Institute of Nutritional Physiology “Oskar Kellner”, Leibniz Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany; b.kuhla@ 123456fbn-dummerstorf.de
                [7 ]Flanders Research Institute for Agriculture, Fisheries and Food, Animal Sciences Unit, Scheldeweg 68, 9090 Melle, Belgium; Nico.Peiren@ 123456ilvo.vlaanderen.be
                [8 ]Department of Genetics and Animal Breeding, Poznan University of Life Sciences, Wolynska 33, 60-637 Poznan, Poland; mbee@ 123456up.poznan.pl
                [9 ]Institute of Agricultural and Nutritional Sciences, Martin Luther University Halle-Wittenberg, Animal Breeding, Theodor-Lieser-Str. 11, 06120 Halle, Germany; dianasorg@ 123456yahoo.de
                [10 ]German Environment Agency (Umweltbundesamt), Wörlitzer Platz 1, 06844 Dessau-Roßlau, Germany
                [11 ]Agri-Food and Biosciences Institute, Hillsborough, Co. Down BT26 6DR, UK; Tianhai.Yan@ 123456afbini.gov.uk
                Author notes
                [* ]Correspondence: phil.garnsworthy@ 123456nottingham.ac.uk ; Tel.: +44-115-951-6100
                Author information
                https://orcid.org/0000-0001-5131-3398
                https://orcid.org/0000-0002-6792-8722
                https://orcid.org/0000-0003-2833-5083
                https://orcid.org/0000-0002-4831-5031
                Article
                animals-09-00837
                10.3390/ani9100837
                6826463
                31640130
                6e25fad2-0227-4a9d-9dd7-05c066097a83
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 30 August 2019
                : 15 October 2019
                Categories
                Article

                methane,dairy cows,genetic evaluation,greenhouse gases,environment

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