What is Precision Animal Nutrition & Health Powered by Gene Expression and AI?
Precision animal nutrition and health is an innovative approach that leverages gene expression analysis and artificial intelligence to transform how animal protein production is managed. By examining a single biological sample, this method uncovers hidden factors that limit animal productivity and wellbeing in the field. It’s all about understanding how an animal’s genes respond to environmental changes, using blood and tissue samples to gather crucial insights. This cutting-edge technique empowers nutritionists and veterinarians to develop tailored nutrition and health programs that are more precise, effective, and sustainable.
Main Benefits of Precision Nutrition & Health
Here are some eye-opening facts that highlight why this approach is so important:
- Animal protein production needs to double by 2050 to feed the growing global population.
- Shockingly, 1 in 10 meat-producing animals never makes it to the supermarket shelf.
- Animals typically reach only 60% to 70% of their productivity potential.
- Nutritionists and veterinarians often lack enough information about subclinical issues and nutritional constraints to make precise decisions.
Imagine the impact of having detailed, actionable data that fills these gaps and drives better outcomes.
Understanding Subclinical Issues in Animal Production
One of the biggest challenges in animal production is the presence of subclinical issues—problems that don’t show obvious symptoms but still drag down productivity and health. These hidden factors often go unnoticed because traditional diagnostics can’t detect them early enough. Precision nutrition and health powered by gene expression and AI introduces a new category called performance diagnostics. This approach detects and solves these subtle issues, helping producers tackle problems before they escalate and affect profitability or sustainability.
How Gene Expression and AI Work Together
Gene expression analysis reveals how an animal’s genes adapt to environmental changes, stress, nutrition, and health challenges. When combined with AI models and proprietary databases, this data becomes a powerful tool for diagnosis and prediction. It’s not just about spotting problems—it’s about understanding the animal’s physiological status in real time. This means nutritionists and veterinarians can make smarter, faster decisions that improve animal wellbeing and boost productivity.
Tailored Recommendations for Precision Programs
With insights from gene expression and AI, animal producers receive tailored recommendations that are specific to their animals’ unique needs. This personalized approach allows for the development and continuous improvement of precision nutrition and health programs. Instead of one-size-fits-all solutions, producers get actionable advice that targets the exact constraints limiting their animals’ performance. The result? Healthier animals, better yields, and more sustainable operations.
Project Impact on Sustainable Development Goals (SDGs)
- SDG 2: Zero Hunger – By increasing animal protein production sustainably to meet future food demands.
- SDG 3: Good Health and Well-being – Improving animal health through early detection and precise nutrition.
- SDG 12: Responsible Consumption and Production – Enhancing efficiency and reducing waste in animal production.
- SDG 13: Climate Action – Supporting sustainable farming practices that reduce environmental impact.
Looking Ahead: The Future of Animal Protein Production
As the world faces the challenge of feeding a population expected to double by 2050, precision animal nutrition and health powered by gene expression and AI offers a promising path forward. By unlocking the secrets hidden within a single biological sample, this approach equips producers with the knowledge they need to push animals closer to their full productivity potential. It’s a game-changer for sustainability, profitability, and animal welfare—one that could redefine how animal protein is produced worldwide.





















