Flex Conference (Physical / Digital)

International Conference on Genomic Selection in Livestock Breeding - (ICGSLB-26)

1st - 2nd October 2026 , Beijing - China

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Call For Papers

The (ICGSLB-26) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Animal Genetics are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Genomic selection methodologies in breeding
  • Impact of genomics on livestock productivity
  • Genetic evaluation using genomic data
  • Applications of genomics in disease resistance
  • Future trends in genomic selection
  • Ethical considerations in genomic research
  • Integrating genomics into breeding programs
  • Role of bioinformatics in genomic selection
  • Genomic prediction of breeding values
  • Challenges in implementing genomic technologies
  • Public perception of genomic selection
  • Case studies in successful genomic applications
  • Genomic tools for improving animal health
  • Collaboration between genomics and breeding
  • Genetic diversity and genomic selection
  • Use of high-throughput sequencing in breeding
  • Genomic selection for climate adaptation
  • Education on genomic technologies in agriculture
  • Innovations in genomic breeding strategies
  • Genomic selection and animal welfare

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.