Genomic predictions for enteric methane production are improved by metabolome and microbiome data in sheep (Ovis aries).

ABSTRACT: Methane production from rumen methanogenesis contributes approximately 71% of greenhouse gas emissions from the agricultural sector. This study has performed genomic predictions for methane production from 99 sheep across 3 yr using a residual methane phenotype that is log methane yield corrected for live weight, rumen volume, and feed intake. Using genomic relationships, the prediction accuracies (as determined by the correlation between predicted and observed residual methane production) ranged from 0.058 to 0.220 depending on the time point being predicted. The best linear unbiased prediction algorithm was then applied to relationships between animals that were built on the rumen metabolome and microbiome. Prediction accuracies for the metabolome-based relationships for the two availabl

SUBMITTER: Ross EM 

PROVIDER: S-EPMC7751162 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature