1 / 32

Cost-Benefit analysis of NAIS implementation in California Jim Oltjen 4/2/2009 W-2177 Committee

Cost-Benefit analysis of NAIS implementation in California Jim Oltjen 4/2/2009 W-2177 Committee NCBA, Denver. Project At a Glance. Coordinators Jim Oltjen & Bees Butler UC, John Evans & Victor Velez CDFA Cooperators Dave Daley CSU-Chico, Mike Hall Cal Poly San Luis Obispo

india-kelly
Download Presentation

Cost-Benefit analysis of NAIS implementation in California Jim Oltjen 4/2/2009 W-2177 Committee

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Cost-Benefit analysis of NAIS implementation in California Jim Oltjen 4/2/2009 W-2177 Committee NCBA, Denver

  2. Project At a Glance • Coordinators Jim Oltjen & Bees Butler UC, John Evans & Victor Velez CDFA • Cooperators Dave Daley CSU-Chico, Mike Hall Cal Poly San Luis Obispo • Species Beef, Dairy, Sheep, Goats • Survey CSU-Chico & Cal Poly-San Luis • Model UC-Davis

  3. Survey Process • Survey design • Survey data • Summary statistics

  4. Survey Process • Survey design • Survey data • Summary statistics

  5. UC Model to compare identification methods • Visual identification • RFID identification – tagsStatic – hand held reader Dynamic – panel reader

  6. Costs Benefits • Equipment • Materials • Service Fees • Labor • Compliance - Health • Marketing • Management

  7. Cost Model (excerpt, Beef cow-calf size=350)

  8. Cost Model (con’t) • Equipment costs • Handheld (HH) reader lifetime (yr) • Stationary (panel) reader lifetime (yr) • Applicator lifetime (yr) • IT lifetime (yr) • Readers ownership sharing (%) • Applicator No. & price ($) • HH reader No. & price ($) • Stationary (panel) reader No. & price ($)

  9. Cost Model (con’t)

  10. NAIS Scenario 10: Beef cow-calf, 350 herd size

  11. Beef Cow-calf: Visual ID & Voluntary Beef Cow-calf: Visual ID & Mandatory

  12. Cost Findings ID in general:Labor costs are relatively minor compared to the costs of equipment and materials (ear-tags).ID-Most of the variation is due to size--the larger operations have reduced costRFID-Most of the variation is due to the costs of equipment – the RFID readers you have.(Most of the variation for the VID is also due to equipment - in this case computer )

  13. Beef Cow-calf: RFID handheld & Mandatory

  14. Animal ID May Aid in Production Efficiencies Individual animal identification systems Provide the information on an animal’s performance from weaning to harvest Enables the identification of individuals with the most profitable genetic merit Use performance measurements Manage animals Sell off low performing cattle before spending additional dollars

  15. UC Beef Production Research Update • Supplement composition for dry range • Fat depot modeling • Parentage via DNA • Beef System Records Integration • Western Quality Assurance Recertification • Management Model for use of ID • Beef Feedlot Emissions

  16. Carcass characteristics Davis Growth Model 12/13th Rib fat (mm) Net energy Sub (kg) Fat Maintenance IMF (%) Intra (kg) Visceral (kg) Protein Inter (kg) KPH (kg) KPH (%)

  17. Bull output varies a lot !

  18. Introduction BQA History The BQA program connects producers with animal scientists, veterinarians, feed suppliers, animal health companies, packers, retailers, and state and federal regulators. The program encourages producers to use the latest science and technology so their beef will meet quality and safety standards.

  19. Management Model for Use of ID A management decision support tool (modifying a cowherd simulation model) to use in educational (extension) settings. Thus, for whatever the variables that describe a particular operation's management, the estimated value of the benefits is projected into the future.

  20. Feedlot Air Emissions

  21. UC Beef Production Research Update • Supplement composition for dry range • Fat depot modeling • Parentage via DNA • Beef System Records Integration • Western Quality Assurance Recertification • Management Model for use of ID • Beef Feedlot Emissions

  22. Questions ?

More Related