Challenges for animal breeding: focus on the contribution to the challenge rather than the technical details of the methodology
Parallel scientific sessions based on submitted abstracts:
- Use of whole genome sequence information
- Improving genomic prediction
- Resource allocation and genetics of feed intake and efficiency
- Big data techniques in animal breeding
- Across-species and breed genetics
- Large-scale phenotyping
- Delivering genetic progress in systems around the world
- Genetic control of infectious disease transmission and impact
- Understanding and utilizing genetic diversity
- Use of multi-omics data
Animal breeding & societal challenges: focus on the challenges and the contribution to the challenge rather than the technical details of the research and applied methodology
Parallel scientific sessions based on submitted abstracts:
- Genetic solutions to achieve net-zero carbon emission in livestock systems
- Nature inclusive animal production and breeding
- Contribution animal breeding to animal welfare
- Gene-editing: ethics, economics, experiences
- Genetics in the tropics
Species-specific sessions: focus on sharing methods and results with peers working in the same area
Parallel scientific sessions based on submitted abstracts:
- Avian
- Aquaculture
- Bovine
- Caprine/Ovine
- Dog
- Equine
- Insects and bees
- Porcine
- Shell fish
Recurrent sessions: focus on sharing methods and results with peers working in the same area
Parallel scientific sessions based on submitted abstracts:
- Breeding programs
- Genetic diversity and inbreeding
- Genetic diversity and inbreeding: Genebanking
- Genetic diversity and inbreeding: Ecology and wild species
- Methods and tools: software and computing strategies
- Methods and tools: breeding goals
- Methods and tools: genomic prediction
- Methods and tools: breeding programmes
- Functional annotation of genomes: causal variants and gene discovery
- Functional annotation of genomes: epigenetics
- Functional annotation of genomes: structural variation and variants
- Molecular genetics: exploiting transcriptomics in applied animal breeding
- Molecular genetics: novel techniques
- Molecular genetics: complex cell systems
- Molecular genetics: gene editing
- Reproduction and repro-technologies
- Statistical genetics: genome wide association studies (GWAS)
- Statistical genetics: imputation
- Statistical genetics: machine learning, deep learning, artificial intelligence
- Novel traits: environment and greenhouse gas emissions
- Novel traits: health and well-being
- Novel traits: deep phenotyping
- Novel traits: machine learning
- Free communication
- Challenges and solutions in developing countries
- Challenges and solutions for education
- Challenges and solutions for young scientist
Note: final sessions depend on availability and the quality and number of actual submitted abstracts.
| Sunday | Monday | Tuesday | Wednesday | Thursday | Friday | |
|---|---|---|---|---|---|---|
| 08.30 – 09.30 | Plenary session | Plenary session | Discussion sessions | Plenary session | Plenary session | |
| 09.30 – 10.00 | Break | Break | Break | Break | Break | |
| 10.00 – 10.30 | 5x Poster pitching | 5x Poster pitching | 5x Poster pitching | 5x Poster pitching | 5x Poster pitching | |
| 10.30 – 12.00 | 5x Parallel sessions | 5x Parallel sessions | 5x Parallel sessions | 5x Parallel sessions | 5x Parallel sessions | |
| 12.00 – 13.30 | Lunch | Lunch | Lunch | Lunch | Lunch | |
| 13.30 – 15.30 | 5x Parallel sessions | 5x Parallel sessions | Excursion | 5x Parallel sessions | 5x Parallel sessions | |
| 15.30 – 16.00 | Break | Break | Excursion | Break | Break | |
| 16.00 – 18.00 | 5x Parallel sessions | Poster session | Excursion | Poster session | 5x Parallel sessions | |
| Evening | Welcome reception | Mid-conference dinner | Gala dinner |