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Practical Understanding of Aquafeed Formulation
Practical Understanding of Aquafeed Formulation
Practical Understanding of Aquafeed Formulation
Practical Understanding of Aquafeed Formulation
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Practical Understanding of Aquafeed Formulation
Practical Understanding of Aquafeed Formulation
Practical Understanding of Aquafeed Formulation
Practical Understanding of Aquafeed Formulation
Practical Understanding of Aquafeed Formulation
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Practical Understanding of Aquafeed Formulation
Practical Understanding of Aquafeed Formulation
Practical Understanding of Aquafeed Formulation
Practical Understanding of Aquafeed Formulation
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Practical Understanding of Aquafeed Formulation

  1. • ! " • # $ % • # & ' ( " ' ( " ! " #$ " % ! " % &'( )*+ ,- )./.0 )** ! 1 , * ( 2 31 4 567 " PHOTO Practical Understanding of Aquafeed Formulation Rodrigue Yossa, PhD, PMP WorldFish, Penang, Malaysia 3rd June 2021 Content 1. Introduction 2. Aquaculture Nutrition: Opportunities and Challenges 3. Nutrient Requirements of Fish 4. Databases (Ingredients & Nutrient requirements) 5. Principle of feed formulation
  2. 1. Introduction Aquaculture Nutrition is now a clear, specific field in the aquaculture sector/science: there is even a special journal, Aquaculture Nutrition Mr. Roy Palmer: “every other scientist that I meet is an aquaculture nutritionist” à Because feed is still the most expensive input à (50-70% in semi-intensive and intensive systems). 2. Aquaculture Nutrition: Opportunities and Challenges - Positives changes in aquaculture nutrition can affect the entire industry FCR Prod. Cost Make fish more affordable to feed the world - To indirectly feed people by directly feeding the fish Feed Fish Humans FC e fish m Formulation Ingredients Processing Novel / ”sexy” (insect meal, SCP) Non-conventional (HPSFM, concentrates, etc.) Conventional (maize, soybean, fishmeal, etc.) Nutrient requirements of fish Nutrients + Digestibility of ing. Species + Life stage Extrusion Pelleting Database + Software Commercial Vs farm made Lot of Data !!! No regulatory framework for the certification of aquaculturist (fish nutritionist versus human nutritionist) No (ins No co Co so Nu Nu Sp Da Ex Pe Co g. Predatory publications (industry, scientists, journals) Non optimum statistics à Exaggerated conclusions? Quality Assurance on Data? cs lusions? 2. Aquaculture Nutrition: Opportunities and Challenges (Cont’d) Quality control on data available??? 2. Aquaculture Nutrition: Opportunities and Challenges (Cont’d) 18 years 3. Nutrient requirements of fish Most of the experimental variable in aquaculture nutrition are quantitative Ex: level of protein (0%, 5%, 10%, 15% and 20%) à The right statistics to be used is the polynomial procedure 3. Nutrient requirements of fish (cond’t)
  3. 3. Nutrient requirements of fish (cond’t) 0 50 100 150 200 250 300 0 0.2 0.4 0.6 0.8 1 1.2 Fish growth (g) Dietary vitamin A level (mg/ kg diet) y = -240.3x2 + 294.2x + 125.16 r² = 0.89834 0 50 100 150 200 250 300 0 0.2 0.4 0.6 0.8 1 1.2 Fish growth (g) Dietary vitamin A level (mg/ kg diet) Vitamin level-max = 0.61 mg/kg diet Multiple comparison test Regression analysis 3. Nutrient requirements of fish (cond’t) Regression analysis 3. Nutrient requirements of fish (cond’t) A lot of Data is very good ! But need to know how to sort them out ! Consider “Quality Data & Relevant Information”! 3. Nutrient requirements of fish (cond’t) Consolidation of data and information on requirements, ingredients, diets and feeds Annual (and not every 2 decades) National or regional (not just the US) More nutritional modeling 3. Nutrient requirements of fish (cond’t) 4. Databases Local Ingredients Selection of 15 local sustainable ingredients: • Palm kernel cake conventional, palm kernel cake refined, sago flour, banana peel, cassava peel, cocoa husk, copra waste, sugarcane bagasse, azolla meal, rubber seed meal, sweet potato peel meal and whole black soldier larvae (Malaysia) • Rice bran and maize bran (Myanmar) • High quality cassava peel (Nigeria),
  4. 4. Databases Local Ingredients (cont’d) 1. Digestibility experiments with 15 local, sustainable ingredients in Tilapia • Data on 10 ingredients published • Data on 5 ingredients in manuscript under review 2. Open Access database for ingredients and feed formulation 4. Databases Local Ingredients (cont’d) 4. Databases Ingredients and nutrient requirements of fish 4. Databases Ingredients and nutrient requirements of fish (cont’d) 4. Databases Ingredients and nutrient requirements of fish (cont’d) 4. Databases Ingredients and nutrient requirements of fish (cont’d)
  5. 4. Databases Ingredients and nutrient requirements of fish (cont’d) 4. Databases Ingredients and nutrient requirements of fish (cont’d) 4. Databases Ingredients and nutrient requirements of fish (cont’d) 5. Principle of Feed Formulation Simple feed formulation software 5. Principle of Feed Formulation (cont’d) 5. Principle of Feed Formulation (cont’d)
  6. 5. Principle of Feed Formulation (cont’d) 5. Principle of Feed Formulation (cont’d) How to formulate tilapia diets (finisher stage) 5. Principle of Feed Formulation (cont’d) INGREDIENTS INCLUSION Fish meal (70% - Danish) 15 Gluten (corn) 13 Soybean meal (48 solv) 20.9 Corn (7.5% CP) 25 Wheat bran 16 Tapioca/sago flour 0 Palm oil 1 Fish oil 1.5 Dicalcium Phosphate 2 Trace mineral premix 2 Vitamin C 0.15 Vitamin premix 0.75 Lecithin - Soy (70%) 0.5 DL-Methionine 0.1 L-Lysine 0.1 TOTAL 100 DM% 89.37 Ash% 7.38 GE MJ/kg 18.12 DE MJ/kg 11.62 CP% 31.50 Dig CP% 27.60 Lipid% 7.88 Fibre% 3.21 LOA (18:2n-6)% 1.04 LNA (18:3n-3)% 0.11 ARA (20:4n-6)% 0.04 EPA (20:5n-3)% 0.21 DHA (22:6n-3)% 0.47 Total n-3% 0.78 Total n-6% 1.08 n3:n6 0.73 Total phospholipid% 2.58 Cholesterol% 0.08 Astaxanthin (mg/kg) 0.00 Arginine% 2.13 Histidine% 0.79 Isoleucine% 1.38 Leucine% 3.09 Lysine% 1.94 Methionine% 0.90 M+C% 1.12 Phenylalanine% 1.57 P+T% 2.77 Threonine% 1.29 Tryptophan% 0.35 Valine% 1.53 Ca% 1.33 Available P% 1.10 COST/kg 0 5. Principle of Feed Formulation (cont’d) Commercial feed formulation software 5. Principle of Feed Formulation (cont’d) Commercial feed formulation software FOR MORE PRACTICAL INFORMATION https://www.youtube.com/c/AllAboutAquacultur e
  7. Thank You In partnership with Discussion (Q&A, comments) The nutritious pond concept Nutrious Pond Introduction: finfish and crustaceans > 80% in ponds < 15 % in cages < 5% in tanks/raceways ↓ → → ! " # $ ! #
  8. Simple2Complex vs Complex2Simple Carbon source • Algae • Litter (OM) On land: • Lot of ‘C’ • Few nutrients (N. P) How to stimulate natural food production? Quick energy depletion ... natural food is limited Fish eats feed + natural food • % & & Partnerships ! " #
  9. $%$ &'' (( () %%$ *+ (%) +%% ,- %,- &,- $,- ',- (,- +,- .,- *,- ),- %,,- / / 0 # 0 1 2 .( *, *( ), )( %,, %,( %%, %%( %&, %&( / / 3 & 20 % higher biomass gain Pond set up Research question What is the effect of changing dietary nutrients on fish performance and natural food enhancement in pond? Algae Algae Algae Benthos Benthos Benthos , %, &, $, ', (, +, 2 2 2 2 2 2 / / 2 4 2 0 5 0 / 2 /62 6 666 !"
  10. Biomass gain N gain $+, $., $*, $), ',, '%, '&, '$, '', '(, '+, '., / / 3 & , & ' + * %, %& / / 3 & 2 ' ( ) * ( ) * # CHO:Lipid ratio $,% &.$ %%% $& %,3. %%3% &.$ $'. &', &+$ ,- %,- &,- $,- ',- (,- +,- .,- *,- ),- %,,- ! ! " " 1 2 !" # $ # % , (, %,, %(, &,, &(, ! ! 3 & 5 ,- %,- &,- $,- ',- (,- +,- .,- *,- ),- %,,- ! ! 2 2 &! # " &$* &.' (* *' .% .' $&$ &.. +' %&$ %& &% %*) &$* ,- %,- &,- $,- ',- (,- +,- .,- *,- ),- %,,- 7 / 8 7 / 8 0 1 1 0 " 1 2 '# ( ) ( ) * , (, %,, %(, &,, &(, $,, $(, 9 / 9 9 / 9 3 % 2 (*,, +,,, +&,, +',, ++,, +*,, .,,, .&,, .',, .+,, .*,, *,,, 7 / 8 7 / 8 3 % 5 ' ( ) * $ % * #
  11. * + # Very difficult: - quantitative observation – little difference - stomach content analysis – differs in vol. - stable isotope analysis: can’t trace we had limitations 2 # % + , & & • 2 – – – • # # • # - * " , & " $% ' ( ) * # + , &, ', +, *, %,, %&, %', %+, &,%( &,(, : 2 ,% # + + % " $ . . ." / 0 1 (+ ) , (+ )
  12. ,% # - "# . # 2 3 ' 4 . " 5 . " / 4 # # Thank You In partnership with --. /0$ -12- 23'24 5 6 -+ 4 , 7-4, 89 : ;; 9 2 <= 00 - ' >? @ >0><5 !" !" !" !"
  13. ! ! "#$ %&' () %*+*, , 4 A 5# B 5 , . C 5 B 5 B + 5 5
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