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South Carolina Department of Natural Resources James A. Waddell Mariculture Center Bluffton, South Carolina Evaluation of Different Sampling Methods to Monitor Population Size in Biofloc- Based, Intensive Shrimp Culture Systems Jeffrey F. Brunson, Deliah Arrington, and John W. Leffler

Evaluation of Different Sampling Methods to Monitor

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South Carolina Department of Natural Resources James A. Waddell Mariculture Center Bluffton, South Carolina

Evaluation of Different Sampling Methods to Monitor Population Size in Biofloc-Based, Intensive Shrimp Culture Systems

Jeffrey F. Brunson, Deliah Arrington, and John W. Leffler

Population Assessment

Efficient feeding strategy Reduce feed costs Improve water quality Reduce solid waste disposal or treatment

Better predict crop size Marketing Satisfied customers

Increased profitability $$$ How many shrimp do I need to feed?

Population Estimation

In-situ Cast nets Feeding trays Standard mortality curve Side-scan sonar

Raceway advantages and limitations

Shrimp are more confined Space constraints

Sampling Methods

1 m³, ¼” (6 mm) plastic mesh cages

0.8 m², 1/8” sq mesh (3 mm) lift nets

60 L glass aquaria

30.5 m² raceways (66 cm mean depth => 20 m³ volume), linked.

122 cm mixing tank 48- 60L aquaria Common return line to raceways

Design

Stocking

Raceways- 150 shrimp/m² (250/m³), by weight

Cages 150/m², by weight 20 shrimp per aquarium, 333/m³ (112/m²), counted Size at stocking 2.31 ± 0.85 g

Management

Shrimp fed Zeigler HyperIntensive 35, three times per day at the same rate

Temperature, DO, pH and salinity checked twice daily Each raceway, 6 aquaria (randomly selected daily)

NH3-N, NO2-N, alkalinity, pH, turbidity, TSS, VSS, PO4, total chlorophyll and chlorophyll a checked weekly.

Harvest and Sampling

One raceway harvested every 4 weeks. Cages harvested one day prior to raceway harvest. 4 lift nets deployed, shrimp acclimated,

feed broadcast with seed spreader; after 10 minutes, raised nets, and shrimp counted and returned. Repeated twice for a total of 12 samples.

On day of raceway harvest, 12 aquaria (randomly selected at beginning) also harvested.

Survival and mean weight determined for raceways, cages and aquaria.

Daily Water Quality of Raceways

0

10

20

30

40

1 11 21 31 41 51 61 71 81

Tem

pera

ture

(⁰C

)

Days

Mean Daily Temperature of Individual Raceways

RRW2 RRW3 RRW4 RRW5

0.0

2.0

4.0

6.0

8.0

1 11 21 31 41 51 61 71 81

DO

(mg/

L)

Days

Mean Daily Dissolved Oxygen of Individual Raceways

6.0

6.5

7.0

7.5

8.0

1 11 21 31 41 51 61 71 81

pH

Days

Mean Daily pH of Individual Raceways

10 15 20 25 30 35 40

1 11 21 31 41 51 61 71 81

Sali

nity

(ppt

)

Days

Mean Daily Salinity of Individual Raceways

Daily Water Quality of Raceways and Aquaria

0

10

20

30

40

1 11 21 31 41 51 61 71 81

Tem

pera

ture

(°C

)

Days

Mean Daily Temperature of Raceways and Aquaria

Raceways Aquaria

0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0

1 11 21 31 41 51 61 71 81

DO

(mg/

L)

Days

Mean Daily Dissolved Oxygen of Raceways and Aquaria

6.0 6.5 7.0 7.5 8.0 8.5 9.0

1 11 21 31 41 51 61 71 81

pH

Days

Mean Daily pH of Raceways and Aquaria

28 30 32 34 36 38 40

1 11 21 31 41 51 61 71 81

Sali

nity

(ppt

)

Days

Mean Daily Salinity of Raceways and Aquaria

Weekly Water Quality

0

0.1

0.2

0.3

0.4

0.5

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17

NO

2-N

(mg/

L)

Week

Nitrite Nitrogen

0 200 400 600 800

1000 1200 1400

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17

TSS

(mg/

L)

Week

Total Suspended Solids

0

50

100

150

200

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17

Alk

alin

ity(

mg/

L)

Week

Alkalinity

0.0

1.0

2.0

3.0

4.0

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17

NH

3-N

(mg/

L)

Week

Ammonia Nitrogen

RRW2 RRW3 RRW4 RRW5 Aquaria

Shrimp Survival by Sampling Method 0-28 days

Days Raceways Cages (mean ± sd)

Aquaria (mean ± sd)

Lift Nets (mean ± sd)

28 97.2 93.0 ±1.4 n=2

88.3 ± 7.5* n=12, P=0.002**

55.4 ± 13.5* n= 11, P<0.001

Aquaria underestimate population by 9.2%

Lift nets underestimate population by 43%

Cages underestimate population by 4.3%

* Denotes a statistically significant difference from raceway survival using one-sample t-test (α=0.05).

**Failed Shapiro-Wilk Normality Test

Shrimp Survival by Sampling Method 0-56 days

Days Raceways Cages (mean ± sd)

Aquaria (mean ± sd)

Lift Nets (mean ± sd)

29 97.2 93.0 ±1.4 n=2

88.3 ± 7.5* n=12

55.4 ± 13.5* n= 11

56 97.3 94.4 ± 2.2 n=3

74.2 ± 13.6* n=12, P<0.001

53.1 ± 4.4* n=10, P<0.001

Aquaria underestimate population by 23.7% Lift nets underestimate population by 45.4%

Cages underestimate population by 3.0%.

* Denotes a statistically significant difference from raceway survival using one-sample t-test (α=0.05).

Shrimp Survival by Sampling Method 0-83 days

Days Raceways Cages (mean ± sd)

Aquaria (mean ± sd)

Lift Nets (mean ± sd)

28 97.2 93.0 ±1.4 n=2

88.3 ± 7.5* n=12

55.4 ± 13.5* n= 11

56 97.3 94.4 ± 2.2 n=3

74.2 ± 13.6* n=12

53.1 ± 4.4* n=10

83 91.5 92.7 ± 6.1 n=2

61.2 ± 11.5* n=12, P<0.001

57.8 ± 3.9* n=12, P<0.001

Aquaria underestimate population by 33.1% Lift nets underestimate population by 36.8%

Cages overestimate population by 1.3%.

* Denotes a statistically significant difference from raceway survival using one-sample t-test (α=0.05).

Shrimp Survival by Sampling Method 0-111

Days Raceway Cages (mean ± sd)

Aquaria (mean ± sd)

Lift Nets (mean ± sd)

28 97.2 93.0 ±1.4 n=2

88.3 ± 7.5* n=12

55.4 ± 13.5* n= 11

56 97.3 94.4 ± 2.2 n=3

74.2 ± 13.6* n=12

53.1 ± 4.4* n=10

83 91.5 92.7 ± 6.1 n=2

61.2 ± 11.5* n=12

57.8 ± 3.9* n=12

111 85.6 92.2 ± 5.4 n=3

55.8 ± 13.3* n=12,P<0.001

58.4 ± 3.3* n=12,P<0.001

Aquaria underestimate population by 34.8% Lift nets underestimate population by 31.8%

Cages overestimate population by 7.7%.

* Denotes a statistically significant difference from raceway survival using one-sample t-test (α=0.05).

Summary

Lift nets Aquaria

Cages Raceway

0

10

20

30

40

50

60

70

80

90

100

Lift nets Aquaria Cages Raceway

28 d 56 d 83 d 111 d

Shrimp Survival • Cages are most reliable method.

• Survival in cages remains high and stable.

• Survival in aquaria decreases over time and is highly variable.

• 60 L aquaria cannot support 20 shrimp; 10 may be better.

• Lift nets consistently estimate survival at 53-58% throughout the growout cycle.

Improving Cage Sampling Methods

Further investigate cage size Minimize obstructions to water flow

Increase number of cages to improve power Refine sampling protocol

Thank you

Daily Water Quality

20

22

24

26

28

30

32

34

1 11 21

31

41

51

61

71

81

91

101 111

121

131

141

151

161

171

Temperature RRW2

RRW3

RRW4

RRW5

2

3

4

5

6

7

1 11 21

31

41

51

61

71

81

91

101 111

121

131

141

151

161

171

Dissolved oxygen

6.2 6.4 6.6 6.8

7 7.2 7.4 7.6 7.8

8 8.2

1 11 21

31

41

51

61

71

81

91

101 111

121

131

141

151

161

171

pH

30 31 32 33 34 35 36 37 38

1 11 21

31

41

51

61

71

81

91

101 111

121

131

141

151

161

171

Salinity

Range 22.9-31.8 Range 3.50-6.61 mg/L

Range 6.84-7.96 Range 32.57-37.36

Daily Water Quality

20.00

22.00

24.00

26.00

28.00

30.00

32.00

34.00

1 12

23

34

45

56

67

78

89

100 111

12

2 13

3 14

4 15

5 16

6

Tem

pera

ture

(⁰C

)

Observation

Temperature

RRWs

Aquaria

2.00

3.00

4.00

5.00

6.00

7.00

1 12

23

34

45

56

67

78

89

100 111

12

2 13

3 14

4 15

5 16

6

Dis

solv

ed o

xyge

n (m

g/L)

Observation

Dissolved Oxygen

6.00

6.50

7.00

7.50

8.00

8.50

1 11 21

31

41

51

61

71

81

91

101 111

121

131

141

151

161

171

pH

Observation

pH

32.00

33.00

34.00

35.00

36.00

37.00

38.00

1 11 21

31

41

51

61

71

81

91

101 111

121

131

141

151

161

171

Sali

nity

(ppt

)

Observation

Salinity