Size Dependent Cannibalism in Size Dependent Cannibalism in Juvenile - - PowerPoint PPT Presentation

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Size Dependent Cannibalism in Size Dependent Cannibalism in Juvenile - - PowerPoint PPT Presentation

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 ,


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SLIDE 1

Size Dependent Cannibalism in Size Dependent Cannibalism in Juvenile Nile Tilapia ( Juvenile Nile Tilapia (O. niloticus

  • O. niloticus)

)

Yonas Fessehaye Yonas Fessehaye1,2

1,2, M. A. Rezk

, M. A. Rezk2

2, H. Bovenhuis

, H. Bovenhuis1

1 and H. Komen

and H. Komen1

1 1 1 Wageningen University & Research Center, The Netherlands

Wageningen University & Research Center, The Netherlands

2 2 The WorldFish Center, Regional Office for Africa and West Asia,

The WorldFish Center, Regional Office for Africa and West Asia, Abbassa, Egypt Abbassa, Egypt

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SLIDE 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

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SLIDE 3

Introduction Introduction

  • Early stages

Early stages maximum variability of growth maximum variability of growth

  • size heterogeneity

size heterogeneity social dominance social dominance

  • aggressive behavior &

aggressive behavior & cannibalism cannibalism 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

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SLIDE 4

Objectives Objectives

  • To test the hypothesis that prey size in

To test the hypothesis that prey size in O. O. niloticus niloticus is a function of predators’ oral gape and is a function of predators’ oral gape and 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

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SLIDE 5

Materials and Methods Materials and Methods

Predator Predator-

  • prey linear regression model

prey linear regression model

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

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SLIDE 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

  • f 140 fingerlings
  • f 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

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SLIDE 7

Materials and Methods Materials and Methods

Linear regressions Linear regressions

  • Body weight/Gape:

Body weight/Gape: Log Log10

10G

Gpredator

predator = a

= a1

1 + ß

+ ß1

1Log

Log10

10W

Wpredator

predator................(1)

................(1)

  • Body weight/body depth:

Body weight/body depth: Log Log10

10D

Dprey

prey = a

= a2

2 + ß

+ ß2

2Log

Log10

10W

Wprey

prey ………………..(2)

………………..(2) Where: ß Where: ß1

1, ß

, ß2

2 = regression coefficients &

= regression coefficients & a a1

1, a

, a2

2 = intercepts

= intercepts

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SLIDE 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

Gpredator

predator <

< D Dprey

prey

Equation 1= Equation 2 Equation 1= Equation 2

  • Maximum prey size for a given predator size:

Maximum prey size for a given predator size: Log Log10

10W

Wprey

prey = (a

= (a1

1-

  • a

a2

2)/ß

)/ß2

2 +

+ ( (ß ß1

1/ß

/ß2

2)Log

)Log10

10W

Wpredator

predator....(3)

....(3)

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SLIDE 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

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SLIDE 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)

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SLIDE 11

Results Results

Predator Predator-

  • prey model

prey model

0.2 0.4 0.6 0.8 1 1.2 1.4 1.6

  • 1
  • 0.5

0.5 1 1.5 Log W (g) Log D & G (mm) D G Predator prey D = Body depth G = Oral gape

Fig 1 Regression of D & G on W Fig 1 Regression of D & G on W

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SLIDE 12

Results Results

Linear regressions: Linear regressions:

  • Body weight/Gape:

Body weight/Gape: Log Log10

10G

Gpredator

predator =

= 0.65 0.65 + + 0.37Log 0.37Log10

10W

Wpredator

predator (R

(R2

2 = 0.963, n =

= 0.963, n = 140) 140)

  • Body weight/body depth:

Body weight/body depth: Log Log10

10D

Dprey

prey = 1.06 + 0.36Log

= 1.06 + 0.36Log10

10W

Wprey

prey (R

(R2

2 = 0.981 , n = 140)

= 0.981 , n = 140)

  • Regression model for maximum prey size is given by:

Regression model for maximum prey size is given by: Log Log10

10W

Wprey

prey = 1.03Log

= 1.03Log10

10W

Wpredator

predator –

– 1 .13 …..........(4) 1 .13 …..........(4)

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SLIDE 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 Log10

10W

Wprey

prey = Log

= Log10

10W

Wpredator

predator –

– 1.18 …………(5) 1.18 …………(5)

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SLIDE 14

Results Results

Model verification Model verification

  • 1.8
  • 1.6
  • 1.4
  • 1.2
  • 1
  • 0.8
  • 0.6
  • 0.4
  • 0.2

0.2

  • 0.4
  • 0.2

0.2 0.4 0.6 0.8 1 1.2 1.4

Log predator weight (g) Log prey weight (g)

  • Fig. 2 Relationship between predator and prey weight in Tilapia
  • Fig. 2 Relationship between predator and prey weight in Tilapia
  • -- = Predicted

__ = Observed

  • Fig. 2 observed & predicted maximum prey weight for a given weig
  • Fig. 2 observed & predicted maximum prey weight for a given weight of predator

ht of predator

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SLIDE 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

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SLIDE 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 margin reduces cannibalism further reduces cannibalism further

  • 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

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SLIDE 17

Thank You Thank You