Flex Conference (Physical / Digital)

International Conference on Quantitative Genetics in Livestock Populations - (ICQGLP-27)

25th - 26th June 2027 , Plovdiv - Bulgaria

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Call For Papers

The (ICQGLP-27) 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:

  • Quantitative genetics in livestock improvement
  • Statistical methods for genetic analysis
  • Genetic parameters estimation in populations
  • Breeding value prediction techniques
  • Genetic mapping of quantitative traits
  • Role of genomics in quantitative genetics
  • Applications of QTL mapping in breeding
  • Genetic diversity and quantitative traits
  • Sustainable practices in quantitative genetics
  • Impact of environmental factors on genetics
  • Collaborative research in quantitative genetics
  • Future trends in quantitative genetics research
  • Integrating phenotypic data with genetics
  • Ethical considerations in quantitative genetics
  • Genetic architecture of complex traits
  • Use of machine learning in genetics
  • Quantitative genetics and animal performance
  • Genetic improvement through selection indices
  • Challenges in quantitative genetics methodologies
  • Public engagement in genetics research

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.