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Optimization of Aquaponics System in Hawaii: Preliminary data

Optimization of Aquaponics System in Hawaii: Preliminary data. Marissa Lee University of Hawaii, Manoa: College of Tropical Agriculture and Human Resources Department: Molecular Bioscience and Bio-Engineering November 21, 2009 Bilger Hall 150. Presentation Agenda. Project Rationale

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Optimization of Aquaponics System in Hawaii: Preliminary data

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  1. Optimization of Aquaponics System in Hawaii: Preliminary data Marissa Lee University of Hawaii, Manoa: College of Tropical Agriculture and Human Resources Department: Molecular Bioscience and Bio-Engineering November 21, 2009 Bilger Hall 150

  2. Presentation Agenda • Project Rationale • Experiment 1: Effects of Lighting • Shade • No Shade • Experiment 2: Effects of Different Feeds • Protein Content • Fat Content

  3. Project Rationale • Partial fulfillment of MBBE graduation requirement • Senior thesis • Partial fulfillment of CTAHR vision and mission • Generate and transfer science based information for stake holders to make informed decisions.

  4. Experiment 1: Test the effects of light • How are nutrients in fish effluent affected? • How are the fish’s growth affected? • What is the crop output per treatment?

  5. The experiment was held at UH Freshwater Aquaculture Facility at Windward Community College

  6. Experiment 1 • Fish:Oreochromis sp. • Plant:Lactuva sativa- Red sail Lettuce

  7. Treatment 1 Treatment 2 Experiment 1:Test the effects of light-Two treatments

  8. Each tank stocked with 323 Tilapia. Average body weight = 1.64g Stocking density = 0.28 kg/m3 Salmon Starter Feed 52% crude protein 16% crude fat Biofilm Experimental Design: Tank Setup

  9. Lettuce Trays Flow rate = 1.35 seconds to fill 1 Liter

  10. Air Lift

  11. Experiment 1

  12. Temporal Changes in Dissolved Oxygen in Covered and Uncovered Tanks p < 0.01 =Difference is statistically significant

  13. Temporal Changes in pH in Covered and Uncovered Tanks p < 0.01 =Difference is statistically significant

  14. Turbidity tube  measuring the amount of particles. p < 0.01 =Difference is statistically significant

  15. P < 0.0001 =Difference is statistically significant

  16. Summary: Experiment 1

  17. Results: Experiment 1

  18. Experiment 2: Effects of different feeds • How are nutrients in fish effluent affected? • Is fish growth affected? • Is crop out put affected?

  19. Experiment 2 Plant:Lactuva sativa- Red sail Lettuce Fish:Oreochromis sp.-Tilapia Plant:Brassica juncea- Mustard Cabbage Plant: Lactuva sativa-Manoa Lettuce

  20. Treatment 1- Rangen 350 Treatment 2- Silver Cup Experiment 2:Two treatments Silver Cup Rangen 350

  21. Rangen: Crude Protein………35.0% Crude Fat…………….5.0% Crude Fiber…………..5.0% Ash…………………..10.0% Phosphorus…………..1.0% Silver Cup: Crude Protein…….45.0% Crude Fat………...16.0% Crude Fiber.……….3.0% Ash………………..12.0% Phosphorus………..1.2% Different Treatments $ 0.77/ lb $ 0.63/ lb

  22. Each tank was stocked with 200 Tilapia Tank average = 26.4 g Stocking density = 2.78 kg/ m3 Bioflim Experiment Design: Tank Setup

  23. Experiment 2

  24. Water Quality

  25. Trace Minerals in Water • Rangen • N = 14.9 ppm • P = 1.0 • K = 10.6 • Ca = 6.0 • Mg = 5.1 • Na = 10.9 • Fe = 0.1** • Mn = 0.1** • Zn = 0.04 • Cu = 0.01 • B = 0.03 • Silver Cup • N = 17.8 ppm • P = 1.9 • K = 7.7 • Ca = 9.8 • Mg = 5.0 • Na = 6.3 • Fe = 0.1** • Mn = 0.1** • Zn = 0.1 • Cu = 0.0 • B = 0.0 Agricultural Diagnostic Service, ** = supplmented

  26. Analysis of Covariance p > 0.05 =not statistically different T-Test for last sampling day p > 0.05 =not statistically different

  27. p < 0.05 Silver Cup Rangen

  28. p< 0.01 Silver Cup Rangen

  29. p>0.05 Silver Cup Rangen

  30. Potassium Hydroxide

  31. Summary: Experiment 2

  32. Experiment 2 Summary

  33. Acknowledgements • Clyde Tamaru • Kathy McGovern-Hopkins • Harry Ako • Mom and Dad • My friends

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