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Genome wide association study of methane traits in Danish Holstein

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Selecting for lower methane emitting animals is one of the best approaches to reduce CH4 given that genetic progress is permanent and cumulative over generations. For this, identification of the genomic architecture of CH4 traits are required, as well as the percentage of variance explained by the number of markers in each trait. Therefore, the objectives of this study were to perform a GWAS to identify genes associated with several CH4 traits in Danish Holstein cattle including CH4cc (methane concentration), CH4 g/d, residual methane (RMet, CH4 regressed on MBW and ECM), methane intensity (MI1=CH4/ECM and MI2=CH4/BW) to determine if there are genes in common controlling these methane traits. Secondly, the aim was to calculate for each trait the percentage of genetic variance explained by windows of adjacent SNP. Approximately 2,000 cows with genotypes (50K Illumina Bovine Chip) and repeated records (7,227 phenotypes) of CH4 were analyzed. Strong associations with CH4cc and CH4 g/d were found on chromosomes 13 and 26, whereas, for RMet and MI1 and MI2 chromosomes 2 and 4. When using windows of 30 to 100 adjacent SNP up to 2.5% of the genetic variance could be explained for CH4cc and up to 4% of the genetic variance for CH4 g/d. Based on our results, we conclude that either CH4cc or CH4 g/d are feasible traits to select for lower emitting animals. The information resulting from this study could be used as extra information in the genomic prediction of CH4.
Udgivelsesår1 nov. 2021
StatusUdgivet - 1 nov. 2021
Begivenhed6th International Conference of Quantitative Genetics - The University of Queensland, Brisbane, Australien
Varighed: 2 nov. 202012 nov. 2020
Konferencens nummer: 6


Konference6th International Conference of Quantitative Genetics
LokationThe University of Queensland

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