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 papers:

  • 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 papers:

  • 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 papers:

  • Avian
  • Aquaculture
  • Bovine
  • Caprine/Ovine
  • Companion animals
  • Equine
  • Bees and other insects
  • Porcine
  • Shell fish

Recurrent sessions: focus on sharing methods and results with peers working in the same area

Parallel scientific sessions based on submitted papers:

  • Breeding programs
  • Genetic diversity and inbreeding
  • Genetic diversity and inbreeding: Genebanking
  • 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
  • Novel traits: health and well-being
  • Novel phenotyping tools: computer vision
  • Novel phenotyping tools: sensor devices
  • Novel phenotyping tools: deep phenotyping
  • Novel phenotyping tools: 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.