We performed genome-wide association study for daily methane emission recorded on 281 Polish Holstein-Friesian cows. In total, 25,871 daily CH4 emission repeated records spanning across lactation were obtained using non-invasive Fourier Transform Infrared Spectroscopy breath analyzer during milking in automated milking system. Cows were genotyped using Illumina BovineSNP50 v2.0 BeadChip and the multi-SNP genome-wide association was used with application of Bayesian Variable Selection to identify SNP affecting methane emission. Our analyses revealed 50 SNP associated with the daily methane emission (Bayes Factor >10) of which three had “very strong” association (Bayes Factor >30). The identified SNP explained, however, only 0.154% of the total genetic variance. Therefore, no genomic regions with a major effect on the emission level have been found. Nonetheless, several identified candidate genes were potentially related to methane emission. Keywords: methane emission, gwas
Proceedings of the World Congress on Genetics Applied to Livestock Production, Volume Challenges - Environmental, , 477, 2018
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