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Size Dependent Cannibalism in Size Dependent Cannibalism in Juvenile Nile Tilapia ( O. niloticus O. niloticus ) ) Juvenile Nile Tilapia ( 1 and H. Komen Yonas Fessehaye 1,2 , M. A. Rezk 2 , H. Bovenhuis 1 and H. Komen 1 Yonas Fessehaye 1,2 ,


  1. Size Dependent Cannibalism in Size Dependent Cannibalism in Juvenile Nile Tilapia ( O. niloticus O. niloticus ) ) Juvenile Nile Tilapia ( 1 and H. Komen Yonas Fessehaye 1,2 , M. A. Rezk 2 , H. Bovenhuis 1 and H. Komen 1 Yonas Fessehaye 1,2 , M. A. Rezk 2 , H. Bovenhuis 1 1 Wageningen University & Research Center, The Netherlands Wageningen University & Research Center, The Netherlands 1 2 The WorldFish Center, Regional Office for Africa and West Asia, 2 The WorldFish Center, Regional Office for Africa and West Asia, Abbassa, Egypt Abbassa, Egypt

  2. Introduction Introduction Cannibalism in fish Cannibalism in fish � Cannibalism is wide spread & common in fish Cannibalism is wide spread & common in fish � � Various sizes or ages, between cohorts or age Various sizes or ages, between cohorts or age � classes classes � size variation, food availability, high population size variation, food availability, high population � density, limited refuge areas & light conditions density, limited refuge areas & light conditions � Is more intense in early life stages Is more intense in early life stages �

  3. Introduction Introduction � Early stages Early stages � � maximum variability of growth maximum variability of growth � � � size heterogeneity � social dominance � � social dominance � size heterogeneity aggressive behavior & cannibalism cannibalism aggressive behavior & Cannibalism in O. niloticus Cannibalism in O. niloticus � Major problem in tilapia hatcheries Major problem in tilapia hatcheries � � It has received little attention It has received little attention � � Factors underlying it have not been investigated in Factors underlying it have not been investigated in � detail detail

  4. Objectives Objectives � To test the hypothesis that prey size in To test the hypothesis that prey size in O. O. � niloticus is a function of predators’ oral gape and is a function of predators’ oral gape and niloticus prey body depth prey body depth � To predict cannibalism based on body To predict cannibalism based on body � measurements of both prey and predator measurements of both prey and predator

  5. Materials and Methods Materials and Methods Predator- -prey linear regression model prey linear regression model Predator Assumptions: Assumptions: � Oral gape of a predator largely determines Oral gape of a predator largely determines � maximum prey size maximum prey size � A predator could swallow a fish with a body A predator could swallow a fish with a body � depth smaller or equal to its maximum oral gape depth smaller or equal to its maximum oral gape

  6. Materials and Methods Materials and Methods � A predictive model for maximum prey size was A predictive model for maximum prey size was � developed based on morphometric dimensions developed based on morphometric dimensions of 140 fingerlings of 140 fingerlings � All individuals were measured for total weight All individuals were measured for total weight � (W), total length (L) oral gape (G) & body depth (W), total length (L) oral gape (G) & body depth (D) (D) � Linear regressions were developed between Linear regressions were developed between � body measurements body measurements

  7. Materials and Methods Materials and Methods Linear regressions Linear regressions � Body weight/Gape: Body weight/Gape: � Log 10 G predator = a 1 + ß 1 Log 10 W predator ................(1) Log 10 G predator = a 1 + ß 1 Log 10 W predator ................(1) � Body weight/body depth: Body weight/body depth: � Log 10 D prey = a 2 + ß 2 Log 10 W prey ………………..(2) Log 10 D prey = a 2 + ß 2 Log 10 W prey ………………..(2) Where: ß 1 , ß 2 = regression coefficients & Where: ß 1 , ß 2 = regression coefficients & a 1 , a 2 = intercepts a 1 , a 2 = intercepts

  8. Materials and Methods Materials and Methods � A predator can consume a prey with body depth A predator can consume a prey with body depth � (D) smaller or equal to predator’s Gape (G) (D) smaller or equal to predator’s Gape (G) � G G predator < D D prey � Equation 1= Equation 2 Equation 1= Equation 2 predator < prey � � � Maximum prey size for a given predator size: Maximum prey size for a given predator size: � Log 10 W prey = (a 1 -a a 2 )/ß 2 + ( ( ß ß 1 /ß 2 )Log 10 W predator ....(3) Log 10 W prey = (a 1 - 2 )/ß 2 + 1 /ß 2 )Log 10 W predator ....(3)

  9. Materials and Methods Materials and Methods Model Verification Model Verification � 76 trials conducted to: 76 trials conducted to: � � Verify the regression model Verify the regression model � � estimate the actual max prey size estimate the actual max prey size � � Trials were carried out in a 20L aquaria (26 Trials were carried out in a 20L aquaria (26- - � 28°C and 12L:12D) 28°C and 12L:12D) � One prey & one predator of known length were One prey & one predator of known length were � paired in an aquarium fish & were checked daily paired in an aquarium fish & were checked daily

  10. Materials and Methods Materials and Methods � If a prey had been eaten If a prey had been eaten � prey size within the � prey size within the � predation range & the predator was given a predation range & the predator was given a slightly bigger prey slightly bigger prey � If the prey had not been consumed with in two If the prey had not been consumed with in two � days it is considered too large for that predator days it is considered too large for that predator (upper limit for the predator) (upper limit for the predator)

  11. Results Results Predator- -prey model prey model Predator 1.6 D = Body depth D 1.4 G = Oral gape 1.2 Log D & G (mm) G 1 0.8 0.6 0.4 Predator prey 0.2 0 -1 -0.5 0 0.5 1 1.5 Log W (g) Fig 1 Regression of D & G on W Fig 1 Regression of D & G on W

  12. Results Results Linear regressions: Linear regressions: � Body weight/Gape: Body weight/Gape: � Log 10 G predator = 0.65 0.65 + + 0.37Log 0.37Log 10 W predator Log 10 G predator = 10 W (R 2 2 = 0.963, n = = 0.963, n = predator (R 140) 140) � Body weight/body depth: Body weight/body depth: � Log 10 D prey = 1.06 + 0.36Log 10 W prey Log 10 D prey = 1.06 + 0.36Log 10 W (R 2 = 0.981 , n = 140) prey (R 2 = 0.981 , n = 140) � Regression model for maximum prey size is given by: Regression model for maximum prey size is given by: � Log 10 W prey = 1.03Log 10 W predator – 1 .13 …..........(4) 1 .13 …..........(4) Log 10 W prey = 1.03Log 10 W predator –

  13. Results Results � Verification showed that the model slightly over Verification showed that the model slightly over � estimates prey size estimates prey size � The model should be revised as: The model should be revised as: � Log 10 W prey = Log 10 W predator – 1.18 …………(5) 1.18 …………(5) Log 10 W prey = Log 10 W predator –

  14. Results Results Model verification Model verification 0.2 0 -0.4 -0.2 0 0.2 0.4 0.6 0.8 1 1.2 1.4 -0.2 Log prey weight (g) -0.4 -0.6 --- = Predicted --- -0.8 __ = Observed -1 -1.2 -1.4 -1.6 -1.8 Log predator weight (g) Fig. 2 Relationship between predator and prey weight in Tilapia Fig. 2 observed & predicted maximum prey weight for a given weight of predator ht of predator Fig. 2 Relationship between predator and prey weight in Tilapia Fig. 2 observed & predicted maximum prey weight for a given weig

  15. Discussions Discussions � The model approach can prove useful for The model approach can prove useful for � predicting cannibalism between larvae of known predicting cannibalism between larvae of known size distribution size distribution � The model verification yielded observed values The model verification yielded observed values � slightly higher than expected slightly higher than expected � Other features might play a role in limiting Other features might play a role in limiting � maximum prey size e.g. pharyngeal gape maximum prey size e.g. pharyngeal gape � Actual mouth elasticity might be smaller Actual mouth elasticity might be smaller � than our measurements indicated than our measurements indicated

  16. Conclusions Conclusions Practical implications Practical implications � The model can be of practical use in size The model can be of practical use in size � grading which is a key step in controlling grading which is a key step in controlling cannibalism cannibalism � Over estimation of prey size Over estimation of prey size � � higher safety higher safety � margin � � reduces cannibalism further reduces cannibalism further margin � Cannibalism could be kept minimal if predator to Cannibalism could be kept minimal if predator to � prey weight ratio is less than 13 times prey weight ratio is less than 13 times

  17. Thank You Thank You

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