This title slide is titled "The Evolution of Livestock Genetic Evaluation." Its subtitle reads "From Simple Tools to Complex Desires."

Evolution of Livestock Genetic Evaluation

From Simple Tools to Complex Desires

Source: Thesis Presentation

The slide outlines the agenda for a presentation on livestock genetic evaluation advancements. It covers eras of evolution, key concepts like BLUP and genomic selection, global trends, Iran's case study, and future outlook.

Presentation Agenda

1. Introduction to Eras

Evolution from Simple Tools to Precision Biology Frontier.

2. Key Concepts

BLUP models, Genomic Selection, Multi-Omics, AI integration.

3. Global Trends

Worldwide advancements in livestock genetic evaluation.

4. Iran Case Study

Localized indexes and economic implications in Iran.

5. Conclusion & Future Outlook

Summary of transformations and prospects ahead. Source: Thesis: The Evolution of Livestock Genetic Evaluation: From Simple Tools to Complex Desires

This section header slide, titled "The Evolution of Livestock Genetic Evaluation: From Simple Tools to Complex Desires," introduces Era 1. It describes simple early tools like visual appraisal and pedigree records that marked the start of livestock breeding.

The Evolution of Livestock Genetic Evaluation: From Simple Tools to Complex Desires

01

Era 1: Simple Tools

Basic measurement tools like visual appraisal and pedigree records marked early livestock breeding.

Source: Thesis Presentation

Early breeding methods relied on visual selection using observable traits, pedigree tracking for family lineages, and simple progeny testing of offspring. These techniques were limited by low accuracy and slow progress.

Early Breeding Methods

• Visual selection using observable traits
• Pedigree tracking for family lineages
• Simple progeny testing of offspring
• Limitations: low accuracy, slow progress

This slide serves as the section header for Era 2: Durability Phase (section 02). It highlights a focus on robust traits to promote longevity and resilience in livestock populations.

Era 2: Durability Phase

02

Era 2: Durability Phase

Focus on robust traits for longevity and resilience in livestock populations.

The slide presents a timeline of key eras in livestock breeding, from the pre-1950 Simple Tools Era using basic pedigrees and visuals, to the 1950s-1970s Durability Phase emphasizing growth and yield. It progresses through the 1980s Health Revolution with BLUP models, 1990s-2000s Efficiency Era for feed optimization, and 2010s+ Precision Biology Frontier leveraging genomics, multi-omics, and AI.

Key Eras Timeline

Pre-1950: Simple Tools Era Basic pedigree records and visual appraisals guided initial livestock selection efforts. 1950s-1970s: Durability Phase Emphasis on growth, yield, and robustness using early quantitative genetics principles. 1980s: Health Revolution BLUP models introduced for disease resistance and accurate genetic evaluations. 1990s-2000s: Efficiency Era Focus on feed efficiency with advanced statistical and phenotypic selection methods. 2010s+: Precision Biology Frontier Genomic selection, multi-omics, and AI transform breeding for complex traits.

Source: Thesis: The Evolution of Livestock Genetic Evaluation

This section header slide is titled "Health Revolution & Efficiency Era." Its subtitle describes a shift to disease resistance and production efficiency via advanced stats.

Health Revolution & Efficiency Era

Shift to disease resistance and production efficiency via advanced stats.

• 📊 BLUP: Best Linear Unbiased Prediction models for breeding values
• 🧬 Genomic Selection: Marker-assisted breeding using genome-wide markers
• 📈 Accelerates genetic gain by 50% in livestock populations

The slide's left column outlines multi-omics layers—genomics for DNA variants, transcriptomics for gene expression, and proteomics for protein analysis—integrating data for holistic livestock biology and precision breeding. The right column describes AI integration via predictive modeling of polygenic traits, automated phenotyping, and scalable genetic evaluations to boost breeding efficiency and sustainability.

Multi-Omics & AI Integration

The Precision Biology Frontier Stats slide showcases three key metrics: 2-3x faster genomic gain via accelerated breeding cycles, 90%+ AI trait prediction accuracy, and 20% resource reduction for sustainability. These stats emphasize breakthroughs in speed, precision forecasting, and efficient resource use.

Precision Biology Frontier Stats

• 2-3x: Faster Genomic Gain

Accelerated breeding cycles

• 90%+: AI Trait Prediction

Precision in forecasting

• 20%: Resource Reduction

Sustainability improvement

The slide "Global Trends in Livestock Genetics" illustrates upward global trends in precision breeding. It highlights high adoption in North America and Europe, rapid genomic growth in Asia, and emerging AI integration in Africa.

Global Trends in Livestock Genetics

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• High adoption in North America and Europe
• Rapid genomic growth across Asia
• Emerging AI integration in Africa
• Upward global trends in precision breeding

Source: Photo by mostafa jamei on Unsplash

In Iran's case study, localized breeding indexes were developed for dairy and meat livestock. This achieved +15% productivity with strong economic impact, overcoming data integration and policy support challenges.

Case Study: Iran

• Localized breeding indexes for dairy and meat livestock
• Achieved +15% productivity with strong economic impact
• Overcame challenges in data integration and policy support

The slide summarizes the evolution from simple tools to AI frontiers, enabling sustainable and efficient breeding, with Iran as a key example of localized success. It ends with an invitation: "Questions? Let's discuss!"

Conclusion & Future Outlook

From simple tools to AI frontiers: Sustainable, efficient breeding. Iran exemplifies localized success.

Questions? Let's discuss!

Source: Thesis: The Evolution of Livestock Genetic Evaluation