Project Details
Description
The project aims to predict breeding values for methane emission in cows by integrating complex multi-layer data, including the host genome, rumen microbiome, gene expression, and metabolome. To successfully carry out this project, the following steps will be taken.
- Identify the rumen microbial genes that interact with feed additives and influence feed digestion, and feed conversion efficiency using metagenomic sequencing.
- Identify the rumen microbes which have high heritability and investigate the interaction between the cow genome and rumen microbiome.
- Employ advanced statistical techniques to develop a prediction model that integrates multi-layer data.
- Use the developed models to accurately predict breeding values and genetically select animals that produce less methane.
- Identify the rumen microbial genes that interact with feed additives and influence feed digestion, and feed conversion efficiency using metagenomic sequencing.
- Identify the rumen microbes which have high heritability and investigate the interaction between the cow genome and rumen microbiome.
- Employ advanced statistical techniques to develop a prediction model that integrates multi-layer data.
- Use the developed models to accurately predict breeding values and genetically select animals that produce less methane.
| Status | Active |
|---|---|
| Effective start/end date | 01/06/2024 → 31/05/2027 |