








































American Journal of Agricultural Science, Engineering and Technology 

OPTIMIZING THE PLANTING DENSITY OF LETTUCE (Lactuca sativa) WITH 

TILAPIA (Oreochromis niloticus) IN A RECIRCULATION AQUAPONIC SYSTEM 

A.Q.M. Robiul Kawser*1, MD. Amzad Hossain1, MST. Fahamida Yeasmin1 

ABSTRACT 

An experiment was conducted for a period of 60 days to optimize the planting density of 

Lettuce (Lactuca sativa) with Tilapia in a shallow water recirculation aquaponic system. Four 

different planting density/m2 i.e. 15 plants/m2, 20 plants/m2, 25 plants/m2 and 30 plants/m2 of 

hydroponic trough was used as four different treatments whereas, the stocking density of 

Tilapia (Oreochromis niloticus) was 100 fish/m3 for all the treatments. Fish was reared in 300 

L size tank and fed up to satiation twice a day with commercially available floating pellet with 

30% protein level. The size of each of the hydroponic trough was 30 L which were made up 

with GI steel sheet. Styrofoam was used to cover up the hydroponic trough and made necessary 

number of hole according to the planting density of different treatment to support the plants in 

water medium. During the experimental period different water quality parameters were 

monitored regularly. Growth and yield of Lettuce were measured by means of number of leafs, 

plant height (cm), leaf area (cm2), dry matter (g) and wet yield (kg/m2). Whereas, Tilapia’s 

growth performances were evaluated on the basis of weight gain (g), production (kg/m3), 

specific growth rate (% per day) and feed conversion ratio. At the end of the experiment, it was 

observed that Lettuce production were highest in T3 (25 plants/m2), although the growth 

performance was significantly better in T1 and T2 because of higher nutrient availability in these 

hydroponic trough. Fish production was significantly higher in T3 and T4 compared to T1 and 

T2, although, highest production were observed in T4. Regarding both Lettuce and Tilapia 

production with suitable water quality parameters, it was therefore, optimized that, 25 plants/m2 

area of hydroponic trough was ideal to support 100 Tilapia/m3 in a shallow water based 

recirculation aquaponic system. 

Key words: Aquaponic, Lettuce (Lactuca sativa), Tilapia (Oreochromis niloticus), Production 

______________________________________________________________________________ 
1*Departement of Aquaculture, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur 

1706, Bangladesh, E-mail: robiulkawser@bsmrau.edu.bd 

*Corresponding Author

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INTRODUCTION 

Aquaculture is the fastest growing food production sector in the world. Compare to poultry and cattle, fish 

provide protein of high quality (Sargent and Tacon, 1999). Therefore, fish and other fishery products can 

be the key to combat malnutrition problem in Bangladesh.  Fish provides 60% of national animal protein 

consumption and 11 percent of the total population are engaged in fisheries sector in Bangladesh (DoF, 

2014). The per capita fish consumption in Bangladesh was 19.30 kg whereas the requirement is 21.90 kg 

(DoF, 2014). Bangladesh is facing serious problem of loss of agricultural land due to horizontal expansion 

of aquaculture. In that case development of recirculating aquaponic system can reduce the pressure on land 

and utilized the resource properly.  

Aquaponics is a sustainable food production system that combines conventional aquaculture, with 

hydroponics (cultivating plants in water) in a symbiotic environment. The production of fish and vegetables 

through the integration of fish aquaculture and plant production has been demonstrated (Fitzsimmons, 1991; 

Fitzsimmons, 1992; Rakocy et al., 2004; McMurtry et al., 1997; Chaves, 2000; Sabidov, 2004; Castro et 

al., 2006; Diver, 2006). In aquaculture, effluents accumulate in the water, increasing toxicity for the fish. 

This water is led to a hydroponic system where the by-products from the aquaculture are broken down by 

nitrogen fixing bacteria, then filtered out by the plants as nutrients, after which the cleaned water is 

recirculate back to the animals. Recirculation aquaculture systems (RAS) represent a new and unique way 

to farm fish. Instead of the traditional method of growing fish outdoors in open ponds and raceways, this 

system rears fish at high densities, in indoor tanks with a controlled environment. Recirculating systems 

filter and clean the water for recycling back through fish culture tanks. New water is added to the tanks 

only to make up for splash out and evaporation and for that used to flush out waste materials. Recirculated 

water can be passed through a hydroponic system. Plants are grown as in hydroponics systems, with their 

roots immersed in the nutrient-rich effluent water. This enables them to filter out the ammonia that is toxic 

to the aquatic animals, or its metabolites. After the water has passed through the hydroponic subsystem, it 

is cleaned and oxygenated, and can return to the aquaculture vessels. This cycle is continuous. Now a day, 

the natural production of fish has been decreased alarmingly for various factors. The practitioners 

implemented improved technology to increase fish production per unit area within minimum period of time. 

They also introduced various culture methods on the basis of varying characteristics of water bodies. All 

those aquaculture effort are mainly conducted in ponds. However, land available for construction of ponds 

is limited in our country. Therefore, new aquaculture techniques need to be introduced. In Bangladesh, the 

world's most densely populated country, most farmers use agrochemicals to enhance food production and 

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American Journal of Agricultural Science, Engineering and Technology 

storage life, though the country lack oversight on safe levels of chemicals in foods for human consumption. 

To combat these issues efforts have been made in Bangladesh to produce low-cost aquaponics system. 

Although popular articles are available in this regards however, scientific information on the aquaponic 

system in Bangladesh is limited. But it is important to determine the number of plants/ m2 of a specific 

species is optimum to neutralize the waste materials produced in fish rearing tank. This study aimed to find 

out the optimum planting density of lettuce (Lactuca sativa) for a definite fish stock without compromising 

the vegetable production. 

MATERIALS AND METHODS 

Experimental design 

The experiment was conducted for a period of 60 days from 20th September to 20th November, 2015 in 

department of aquaculture field research area of Bangabandhu Sheikh Mujibur Rahman Agricultural 

University (BSMRAU). The experiment was designed into four treatment groups (T1, T2, T3 and T4) consist 

of four different planting density of Lettuce (Lectuca sativa) each having three replications (Table 1). Size 

of the fish rearing tanks was 300 liter where fish were stocked at a density of 100 fish/m3 in each of these 

tanks. Commercially made floating pellets (30% protein) was used to fed the fish. 

Table 1: The experiment was conducted with four treatments, each treatment having three replicates as 

follow. 

Treatment Planting Density 

of Lettuce 

Replication Tilapia 

stocking 

density 

Tilapia tank 

size 

Vegetable 

tray size 

T1 15  plants/m2 3 100 fish/m3 300 L 30 L 

T2 20 plants/ m2 3 100 fish/m3 300 L 30 L 

T3 25 plants/ m2 3 100 fish/m3 300 L 30 L 

T4 30 plants/ m2 3 100 fish/m3 300 L 30 L 

Stocking and rearing of fish species 

Juveniles of Nile tilapia (Oreochoromis niloticus) of 10.0 ± 0.7 g size was collected from a commercial 

nursery and transported to BSMRAU campus and reared in a 500L tank until use. In the beginning of the 

experiment, fish was weighed individually, selected and distributed into each of the 300L tanks at a stocking 

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American Journal of Agricultural Science, Engineering and Technology 

density of 100 fish/m3. Each of the tanks was connected to a vegetable culture tray. Fish was fed with 

commercially available pellet.  The fish was fed to satiation within 10 minute twice daily (0900 and 1500 

hr.), six days a week. All tanks were uniformly aerated. Tank was connected to a recirculation system with 

a suitable recirculation speed of 2 L/min.   

Setting vegetable tray 

Vegetables were grown in trays made of GI sheets. A general floating bed hydroponic method was followed 

(Lennard and Leonard, 2006).  The rectangular size trays were of 300 L capacity.   The trays were filled 

with 20 L of water as a growing media. Then trays were covered by Styrofoam sheet which was used to 

support the plant in aquaponic system. A water pump of 12 watt capacity was used in each fish rearing 

tanks to lift the water into the vegetable tray. Appropriate tubing was used to connect the vegetable trays 

with the fish culture tanks. Lettuces seeds were sown in nursery beds and allow growing for 15 days in 

traditional ways before transplanting into the experimental aquaponic systems. Plantlets of lettuce were 

then transplanted from the nursery beds to vegetable tray at the planting densities mentioned in the 

experimentation design in the previous section.   

Fish Sampling  

Fish was sampled fortnightly and growth and survival monitored.  At the end of the rearing period, all fish 

in a tank was counted for survival data. Length and weight of 10 fish from each tank was taken to know the 

growth performance.  

Growth parameters of fish 

Growth of fry in length (cm) and weight (g) was measured and the following parameters were used to 

evaluate fry growth: 

The specific growth rate (SGR) was calculated as: SGR = 100 (ln mean final weight) - (ln mean initial 

weight) ÷ culture days. Feed conversion ratio (FCR) was calculated as: FCR = total feed given ÷ total wet 

weight gain.  % Weight gain (g) was calculated as: 100 ((Mean final weight - Mean initial weight)/ Mean 

initial weight).   

Growth of vegetable 

Lettuce growth was monitored on the basis of number of leaf, plant height (cm), leaf area (cm2), dry matter 

(g) and fresh vegetables production (kg/m2).

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American Journal of Agricultural Science, Engineering and Technology 

Monitoring water quality 

Maximum-minimum temperatures were recorded daily in each tank. For water parameters, samples from 

the inflow pipe and fish culture tanks were collected.  Dissolved oxygen (DO) and pH was measured using 

Hach Oxygen and pH meters, respectively (Hach Co., Loveland, Colorado). Total ammonia nitrogen (NH3-

N), nitrite nitrogen (NO2-N), nitrate nitrogen (NO3-N) and total phosphorus (TP) was determined following 

the methodology of APHA (1989). 

Data analysis 

Data obtained from this experiment were subjected to one-way analysis of variance (ANOVA) while least 

significant difference (LSD) test was used to compare treatment means. All statistical analyses were 

performed using the statistical software package (Statistics 10). 

RESULTS AND DISCUSSIONS 

Water Quality Parameters  

During the experimental period the average temperature of fish rearing tanks and vegetables growing 

medium was ranges from 24 to 280C. pH of the fish rearing tank and vegetables growing medium was 

ranges from 6.4 to 6.8 and 5.2 to 5.8, respectively. Percentage removal of dissolved oxygen (DO), total 

ammonia nitrogen (TAN), nitrite nitrogen (NO2-N), nitrate nitrogen (NO3-N) and total phosphorus (TP) 

was measured to determine the water quality (Table 2). Dissolved oxygen level during this experimental 

period was ranges from 5.1 to 5.8 mg/l. Significant difference was observed in TAN, nitrite–N, nitrate–N 

and total phosphorus concentrations among different planting density of Lactuca sativa. The percentage 

removal of water quality parameters was increased with increasing in plants number/m2 of hydroponic bed 

until the maximum was reached at 25 plants/ m2 in T3. Further increasing plant number did not significantly 

increase the percent removal of ammonia and phosphorus level. Highest ammonia level during this 

experimental period was 2.1±0.4 mg/l at a planting density of 15 plants/ m2. DoF (2008) have reported that 

the range of suitable dissolved oxygen for fish culture would be 5-8 mg/1. Aminul (1996) has stated that 

the pH values from 6.7 to 7.5 and water temperature of 25°C to 35°C was the best suited for fish production. 

El-Sayed (1999) has reported that O. niloticus can tolerate ammonia level up to 3.5ppm. Therefore, the 

ammonia level during the present study was within the suitable range for fish production. Considering the 

above discussion it can be conclude that T3 was the best among different planting density to remove harmful 

products from fish rearing tank. 

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Table 2: Different water quality parameter of recirculation aquaponic system. 

Treatment Water quality parameters 

DO TAN NO2-N NO3-N TP 

T1 

Influent (mg/l) 

Effluent (mg/l) 

Removal (%) 

5.1 

1.4 

72.5b 

13.4 

2.1 

84.3c 

0.71 

0.32 

54.9d 

20.2 

6.3 

68.8b 

16.6 

6.8 

59.0c 

T2 

Influent (mg/l) 

Effluent (mg/l) 

Removal (%) 

5.8 

1.4 

75.8a 

13.1 

1.9 

85.5b 

0.65 

0.23 

64.6c 

20.1 

6.1 

69.7b 

16.5 

6.1 

63.0b 

T3 

Influent (mg/l) 

Effluent (mg/l) 

Removal (%) 

6.1 

1.7 

72.1b 

13.3 

1.0 

92.5a 

0.66 

0.16 

75.8b 

20.2 

5.5 

72.8a 

16.5 

5.7 

65.5a 

T4 

Influent (mg/l) 

Effluent (mg/l) 

Removal (%) 

5.8 

1.5 

74.1c 

13.6 

1.1 

91.9a 

0.62 

0.16 

74.2a 

19.7 

5.5 

72.1a 

16.1 

5.6 

65.2a 

Means with different superscript in a column are significantly different (P≤0.5) 

Growth and Yield of Lettuce (Lactuca sativa) 

Growth of Lettuce (Lactuca sativa) was determined on the basis of number of leaves, plant height (cm), 

leaf area (cm2) and dry matter content. It was observed that, the growth of lettuce was significantly different 

at different planting density. The growth rate of plants was significantly higher in T1 and T2 compare to T3 

and T4. This was due to higher amount of nutrient availability to each plant from fish rearing tanks at a low 

planting density in T1 and T2 compare to T3 and T4. But the total production/m2 area of hydroponic bed was 

significantly higher in T3 and T4 (Table 3). This was due to higher planting density per m2 area of 

hydroponic bed in T3 and T4 compare to T1 and T2. As the number of plants per m2 increases, it reduces the 

nutrient availability to each plant. So the balance between nutrient availability and number of plants/m2 is 

crucial although critical. Without hampering the total production of vegetables, a stocking density of 100 

Tilapia/m3 can support 25 plants/m2 of hydroponic unit where the maximum yield was 2.2 kg of Lettuce/m2 

in T3. Further increase in the number of plants did not yield higher production. This may be due to less 

nutrient availability to each plant as the higher planting density and nutrient availability is inversely 

correlated.  

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Table 3: Effect of planting density on the growth and yield of Lettuce (Lactuca sativa). 

Growth parameters Yield (kg/m2) 

Treatment No. of leaves 
Plant height 

(cm) 

Leaf area 

(cm2) 

Dry matter 

(g) 

T1 16.6a 18.4a 78.5a 117.7a 1.5b 

T2 15.9ab 16.3bc 74.2b 117.3a 1.7b 

T3 15.2b 16.7bc 73.5b 115.1b 2.2a 

T4 15.0b 15.9c 71.4c 111.8c 1.9a 

Means with different superscript in a row are significantly different (P≤0.5) 

Wilson (2006) has reported that, in floating bed system Lettuce (Lactuca sativa) production was 4.47 kg/m2 

from 80 L size hydroponic unit. Plants grow best and uptake nutrients at a lower pH (5.5-6.5) (Resh 2001). 

Specifically, lettuce will grow well in a pH range of 5.5-6.5 (Resh, 2001). At a stocking density of 2 kg/m3 

of Tilapia, the lettuce production was 4.32 kg/m2 (Licamele, 2009).   

Growth and Survival of Tilapia (O. niloticus) 

The average initial weight of O. niloticus was 10±0.70 g in all the treatments (Table 1). The average final 

weight of O. niloticus connected with different hydroponic trough differ significantly (P≤0.05). Maximum 

final weight, % weight gain and production were highest in T3 where plants were stocked at 25 numbers/m2 

and did differ significantly (P≤0.05) with T1. Although, no significant difference (P≥0.05) was observed in 

SGR and FCR value of different treatments. 100 percent survival rate was observed in T3 and T4 which was 

significantly higher (P≤0.05) than T1 and T2.  

Table 4: Fish growth performance and survival rate at different planting density after 60 days of rearing 

period. 

T1 T2 T3 T4 

Initial Weight (g) 10±0.7a 10±0.7a 10±0.7a 10±0.7a 

Final Weight (g) 65.5±2.2b 66.8±1.7b 70.7±1.5a 71.0±1.1a 

Weight gain (g) 55.5±1.5b 56.8±1.0b 60.7±0.8a 61.0±0.4a 

Weight gain (%) 555±2.8d 567±1.0c 607±1.0b 610±1.0a 

Production (kg/m3) 6.1±1.1b 6.4±1.3ab 7.07±1.1a 7.1±1.4a 

Survival rate (%) 96±2.0c 98±1.0b 100±1.0a 100±1.0a 

SGR (% per day) 3.13±0.8a 3.17±1.0a 3.25±0.6a 3.26±0.9a 

FCR 1.8±0.5a 1.6±0.7a 1.6±0.7a 1.7±0.6a 

Means with different superscript in a row are significantly different (P≤0.5) 

Cruz and Laudencia (1978) have studied the protein requirements of Nile tilapia (Oreochromis niloticus) 

fingerlings and concluded that 20-30% crude protein required in the ration for optimum growth. Production 

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of O. niloticus in a recirculating aquaponic system was 6.38 kg/m3 during 10 weeks of experimental period 

(Rakocy et al., 2006). Cruz and Ridha (2001) have conducted an experiment on growth and survival rates 

of Nile tilapia (Oreochromis niloticus) juveniles reared in a recirculating system and found that the survival 

rate was 100% in both cases. Mohamed (2009) has conducted an experiment on the effect of dietary protein 

level on the growth performance and body composition of monosex Nile tilapia (O. niloticus) reared in 

fertilized tank and observed 97% survival. Resley et al. (2009) have obtained SGR value of 4.7 (% day-1) 

in the growth and survival of juvenile cobia, in a recirculating aquaculture system. Kamal et al. (2006) have 

obtained SGR value of 1.6 (% day-1) in an aquaponic production of Nile tilapia (Oreochromis niloticus) 

and Bell pepper (Capsicum annuum) in recirculating aquaponic system. Rakocy et al. (2006) have found 

SGR value of 4.4 (% day-1) in an intensive Nile tilapia and basil aquaponic production system. 

Figure 1: Correlation between Lettuces planting density/m2 with total ammonia removal (%) and total 

phosphorus removal (%) in fish rearing tanks. 

Figure 2: Correlation between Lettuces planting density/m2 with lettuce leaf area (m2) and fish production 

(kg/m3). 

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Correlation coefficient of lettuce planting density/m2 and percentage removal of total ammonia and total 

phosphorus was + 0.86 and + 0.91, respectively (Figure 1). Therefore, a strong correlation exists between 

planting density of lettuce and removal of harmful product for fish. So, with the increase of number 

plants/m2, the water quality parameters tend to become favorable for fish culture. But with the increase of 

planting density/m2 of hydroponic trough the amount of available nitrogen and phosphorus required for 

lettuce growth reduce which is signify by the strong negative correlation between planting density/m2 and 

lettuce leaf area (cm2) and the value of correlation coefficient was - 0.94 (figure 2). As planting density/m2 

and water quality is positively correlated there a positive correlation is exists between the planting density 

of lettuce and production (kg/m3) of fish and the value observed in this experiment was + 0.79. 

CONCLUSIONS 

Lettuce (Lactuca sativa) growth was significantly higher in T1 and T2 but the total production (kg/m2) was 

highest in T3. Although, no significant difference was observed in the lettuce production of T3 and T4. 

However, grayish color of the leaves in T4 indicates the deficiency of nitrogen and phosphorus availability 

in hydroponic unit was started to prominent. Production of Tilapia (O. niloticus) was highest in T4 but did 

not differ significantly with T3. Therefore, it can be conclude that, a lettuce density of 25 plants/m2 can 

efficiently utilize the waste product produce from 100 Tilapia/m3 stocking density in a shallow water 

recirculation aquaponic system.   

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