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International Conference on Quantitative Genetics in Livestock Populations

📅 31–1 Jun 2027 📍 Rome, Italy 👤 Standard / Listener

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$165

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Conference session tracks

Key research areas covered across the sessions — tap a track to read more.

This track focuses on the latest methodologies in quantitative genetics, emphasizing innovative statistical techniques and computational tools. Researchers are encouraged to present novel approaches that enhance the accuracy of genetic evaluations in livestock.

This session will explore the estimation of heritability in various livestock species, highlighting the implications for breeding programs. Presentations will cover both traditional and modern approaches to heritability assessment.

This track examines the role of genomic selection in livestock breeding, focusing on its potential to improve genetic gain. Discussions will include case studies and the integration of genomic data into breeding strategies.

This session aims to delve into trait analysis methodologies and the estimation of genetic variance in livestock populations. Participants will present findings on the genetic architecture of economically important traits.

This track highlights the use of predictive breeding techniques and genomic tools to enhance livestock improvement. Researchers will share insights on the application of machine learning and big data analytics in breeding decisions.

This session focuses on the principles of population genetics as they apply to livestock management and conservation. Presentations will address genetic diversity, inbreeding, and strategies for maintaining healthy populations.

This track will cover the application of statistical genetics in animal breeding, emphasizing the development of models for predicting breeding values. Researchers are invited to share their work on statistical methods that enhance breeding efficiency.

This session will showcase computational genetics tools and their applications in livestock research. Participants will discuss software developments and computational methods that facilitate genetic analysis.

This track focuses on the integration of phenotypic and genomic data to enhance the understanding of complex traits in livestock. Presentations will explore methodologies for combining these data types to improve breeding outcomes.

This session addresses the ethical implications of genetic manipulation in livestock populations. Discussions will center on the balance between technological advancements and animal welfare concerns.

This track aims to explore future directions in livestock genetic research, including emerging technologies and innovative breeding strategies. Participants are encouraged to discuss visionary ideas that could shape the future of animal genetics.