Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 548210
Title Ranking cows’ methane emissions under commercial conditions with sniffers versus respiration chambers
Author(s) Difford, G.F.; Olijhoek, D.W.; Hellwing, A.L.F.; Lund, P.; Bjerring, M.A.; Haas, Y. de; Lassen, J.; Løvendahl, P.
Source Acta Agriculturae Scandinavica Section A-Animal Science 68 (2019)1. - ISSN 0906-4702 - p. 25 - 32.
DOI https://doi.org/10.1080/09064702.2019.1572784
Department(s) Animal Breeding & Genomics
WIAS
Publication type Refereed Article in a scientific journal
Publication year 2019
Availibility Full text available from 2020-02-08
Keyword(s) breath concentration - Methane - respiration chambers - sniffers
Abstract

This study assessed the ranking of dairy cows using individual-level correlations for methane (CH 4 ) emission on-farm using sniffers and in respiration chambers. In total 20 lactating dairy cows, ten Holstein and ten Jerseys were recorded using sniffers installed in milking robots for three weeks of lactation and subsequently in respiration chambers (RC) where they were each recorded on three occasions within the RC. Bivariate linear mixed models were used to determine the individual-level correlations (r I ) between sniffer and RC phenotypes as proxies for genetic correlations. Despite differences in feeding and management, the predicted CH 4 production from sniffers correlated highly with RC CH 4 production r I = 0.77 ± 0.18 and CH 4 breath concentration correlated nearly as well with RC CH 4 production r I = 0.75 ± 0.20. These correlations between sniffers on-farm and RC demonstrate the potential of sniffers measurements as large-scale indicator traits for CH 4 emissions in dairy cattle.

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