Microbiability – new insights into (genetic) modelling methane emissions of cattle

Publikation: Bidrag til bog/antologi/rapport/proceedingKonferencebidrag i proceedingsForskningpeer review

Methane produced by methanogenic archaea in ruminants contributes significantly to anthropogenic greenhouse gas emissions. Inter-individual differences in methane (CH4) emission are affected by the individual’s genetics, environment (primarily feed and fodder) and also its rumen microbiome. Unlike other economic traits, controlling microbial CH4 production in dairy cattle through genetic selection strategies is in formative stages. Here we adapt existing quantitative methods to quantify the microbial contribution to CH4 emission and investigate the host genetics by microbiome interaction. The heritability (h2) of CH4 emissions was 0.19 ± 0.09 and the estimated proportion of rumen microbial variation to phenotypic variation (microbiability) was 0.15 ± 0.08. Estimating both effects jointly revealed a small interaction between the two sources of information. The moderate correlation (0.32) between estimates of individual’s genetic component and rumen microbial components confirmed this interaction. However, the correlation between an index of CH4 estimated breeding values (EBVS) with a combined index of CH4 EBVS and microbial values
was 0.87, demonstrating that naivety of the rumen microbiome does not result in sever reranking of animals for this trait.
OriginalsprogEngelsk
TitelProceedings of the World Congress on Genetics Applied to Livestock Production, 2018 : Volume Challenges - Environmental
Antal sider5
Vol/bind11
Udgivelsesår2018
Artikelnummer405
StatusUdgivet - 2018
BegivenhedThe 11th World Congress on Genetics Applied to Livestock Production - Aotea Centre, Auckland 1010, Auckland, New Zealand
Varighed: 11 feb. 201816 feb. 2018
Konferencens nummer: 11

Konference

KonferenceThe 11th World Congress on Genetics Applied to Livestock Production
Nummer11
LokationAotea Centre, Auckland 1010
LandNew Zealand
ByAuckland
Periode11/02/201816/02/2018

Se relationer på Aarhus Universitet Citationsformater

Download-statistik

Ingen data tilgængelig

ID: 127395252