CBGW Tom Holm Panel

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This is a presentation from the Canadian Bovine Genomics Workshop held in Calgary, Alberta on Sept.14, 2009.
The workshop was the first step in developing a national bovine genomics strategy for Canada.

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CBGW Tom Holm Panel

  1. 1. Canadian Bovine Genomics Workshop Tom Holm Business Development Manager MMI Genomics
  2. 2. MMI Genomics Inc: Recognized Leader in Livestock Genomics DNA-based Testing Services • Industry Pioneer (over 20 years) • Over 3,000,000 samples tested • > 99% on-time delivery Genomics Discovery Assets • Whole genome sequences (livestock) • High-throughput genotyping platform • BioInformatics & data systems Staff and Facilities • Based in Davis, CA • 43 employees (7 PhD, 5 MS) • Strong customer base • Industry alliances
  3. 3. Cargill – MMI Genomics: Whole Genome Discovery Strategy 800,000 Putative Mapped SNPs 6,000 Validated SNPs Associated Diagnostic SNPs Marbling Tenderness Yield Grade ADG
  4. 4. Creating Value with MMI Genomics Breed-Tru™ Products Tru-Parentage™ Tru-Marbling™ Tru-Identity™ Tru-Tenderness™ Tru-Polled™ Tru-Finish™ Tru-CoatColor™ Tru-Gain™
  5. 5. Value Creation Opportunities Packer/ Breeder Producer Feedlot Processor • Breeders & Producers: Breeding Tools – Increase accuracy of selection – Target traits difficult to measure with traditional selection • Producers & Feeders: Animal Management Tools – Sort and manage animals based on genetic potential – Optimized marketing • Packers/Processors: Branded Beef Products – Create range of branded products with guaranteed palatability attributes – Forward marketing/sales of beef products based on predictable supply All Segments: Parent Verification, Identity & Traceability
  6. 6. Breed-Tru® Products Value Proposition for Seedstock & Producer Segments • MGVs can be used to rank animals genetically • MGVs can be used to mate specific animals • MGVs can be estimated at any time in an animal’s life • MGVs can increase the accuracy of selection and decrease the age at which animals can be selected.
  7. 7. Opportunity for Value Creation Supply Demand Standard Select Choice Prime Quality Grade
  8. 8. Value Paradox Weight Gain and Efficiency + + Harvest maturity Implants on Growth curve _ _ Quality Tenderness
  9. 9. Feedlot Animal Management Products Animal Sorting and Marketing Tools Based on Tru-Marbling & Tru-Gain • DNA Genotyping: to determine genetic potential • Sorting: into outcome groups based on genetic potential • Manage: to optimize the genetic potential of each group • Market: into grid-based program that provides greatest returns
  10. 10. Marker-Assisted Management • Reduced feed costs by feeding to the optimum end-point/growth curve, not beyond • Increased carcass value by hitting thresholds for quality, • Market to the optimum grid or pricing formula based on genetic potential and management scheme • Improved ability to forecast product mix between choice and select quality grades, • Enhanced ability to supply product for branded programs Sample Collected on EID cattle Feedlot MMI Genomics MGVs or Sort Programs for Tru-Finish Forecast on quality Tru-Gain grades 60-90 pre- Supply management for harvest branded programs Processor
  11. 11. Results in Commercial Feedlot Cattle – Quality Grade Number of Average Observations MGV SE Prime 3 34.53 5.10 High Choice 62 21.54 2.56 Medium Choice 785 15.04 0.78 Low choice 3128 9.49 0.40 Select 10881 -5.03 0.22 No Roll 1477 -18.68 0.52
  12. 12. Pre-Sort Accuracy of the Tru-Finish System Accuracy of Tru-Marbling Sort 1.20 1.00 Percentage of Grade 0.80 Top 25% 0.60 Middle 50% Bottom 25% 0.40 0.20 0.00 Prime High Medium Low Choice Select No Roll Choice Choice Quality Grade
  13. 13. Value Sharing Through the Chain: DNA diagnostics and Informatics holds it together Seedstock Genetic Evaluation Genetic Producer Evaluation Bulls MGV or genotypes and parentage information Cow-Calf DNA sample from calf Genomic analysis Producer (laboratory and informatics Tools for genetic and economic systems) management EID identified feeder cattle. •Parentage information Source, age and process verification. •Traceabillity Improved production •Breeding systems using computer efficiency through genetic information management •Improved resource management Phenotypes linked to EID Premiums for Quality Feedlot Processor

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