Genome-wide association studies for methane emission and ruminal volatile fatty acids using Holstein cattle sequence data.

ABSTRACT:

Background

Methane emission by ruminants has contributed considerably to the global warming and understanding the genomic architecture of methane production may help livestock producers to reduce the methane emission from the livestock production system. The goal of our study was to identify genomic regions affecting the predicted methane emission (PME) from volatile fatty acids (VFAs) indicators and VFA traits using imputed whole-genome sequence data in Iranian Holstein cattle.

Results

Based on the significant-association threshold (p < 5 × 10^- 8), 33 single nucleotide polymorphisms (SNPs) were detected for PME per kg milk (n = 2), PME per kg fat (n = 14), and valeric acid (n = 17). Besides, 69 genes were identified for valeric acid (n = 18), PME per kg milk (n =

SUBMITTER: Jalil Sarghale A 

PROVIDER: S-EPMC7684878 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature