Fisheries and Aquaculture Journal

Fisheries and Aquaculture Journal
Open Access

ISSN: 2150-3508

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Research Article - (2012) Volume 3, Issue 1

Effect of Different Salinity and Ration Levels on Growth Performance and Nutritive Physiology of Milkfish, Chanos chanos (Forsskal) – Field and Laboratory Studies

UK Barman1, SK Garg2 and A Bhatnagar3*
1Department of Zoology, CCS Haryana Agricultural University, Hisar, Haryana, India
2Akal School of Life Sciences, Baru Sahib, Via Raj Garh (Distt. Sirmour), Himachal Pradesh, Eternal University, India
3Department of Zoology, Kurukshetra University, Kurukshetra, Haryana, India
*Corresponding Author: A Bhatnagar, Department of Zoology, Kurukshetra University, Kurukshetra, Haryana, India Email:

Abstract

To investigate the effect of inland groundwater salinity, and two ration levels on growth performance and nutrition physiology in milkfish, Chanos chanos, two experiments (Experiment 1 and 2) were conducted. In the first experiment (Expt. 1), a 100-day monoculture of Chanos chanos at two different salinities (10 and 25‰) was carried out in ponds and the fish were fed on two different (4% and 6% BW d-1) ration levels. Irrespective of the salinity treatment, low ration favored high growth in fish grown at 25 ppt salinity. Carcass composition revealed high accumulation of protein, fat, energy and phosphorus in fish fed at low ration level and maintained at 25 ppt salinity. Irrespective of the salinity treatment, DO, BOD, pH and nutrients remained significantly (P<0.05) higher in ponds where the fish were fed at low ration level. Multivariate analysis revealed a significant positive correlation of nutrients and productivity indicating parameters with fish weight gain. The second experiment (Expt. 2) was conducted under laboratory conditions and the milkfish fry were exposed to five different salinity levels (10.0, 15.0, 20.0, 25.0 and 30.0 ‰) for 100 days. A control in fresh water (0.0 ppt) was also maintained. Irrespective of the salinity treatment, significantly (P<0.05) high growth, feed conversion efficiency and intestinal enzyme activity were observed in fish maintained at low (4%) ration level. Carcass composition, muscle and liver glycogen levels, muscle protein, viscero-somatic index (VSI) and hepato-somatic index (HSI) values were also significantly (P<0.05) affected not only by the salinity treatment but also by the ration level. Studies indicated that low ration level and high salinity favored high growth in milkfish.

Keywords: Different ration levels, growth, inland saline water, milkfish, nutrition

Introduction

Inland saline groundwater has been successfully used in the United States and Middle East to culture a range of algae, crustaceans and finfish species such as tilapia, red drum, sea bream, eels and channel catfish [1-3]. In Australia also, inland saline groundwater from shallow and deep aquifers has also been found suitable for the growth and survival of a number of euryhaline finfish species [4]. Fish culture studies utilizing inland saline groundwaters were also carried out in India for the culture of common carp as well as the Indian major carps [5]. Since these fish species are stenohaline, therefore they do not perform well at higher salinities (>7.5 ppt). Our recent studies have revealed that inland saline groundwater with higher salinities (10 ppt and above) can be profitably utilized for the culture of certain euryhaline fish species such as mullets [6], milkfish [7], pearl spot and Nile Tilapia [8-10]. Water salinity has been shown to affect feed intake, protein requirements, feed conversion efficiency, digestibility and many other physiological functions in aquatic animals. The effect of salinity on feed utilization in fishes is not well understood. Lall and Bishop [11] and Macleod [12] observed that feed absorption efficiency in rainbow trout (Salmo gairdneri) decreased in high salinities, while DeSilva and Perera [13] found that salinity had no significant effect on digestibility in Sarotherodon niloticus. On the other hand, Ferraries et al. [14] and Conides et al. [15] in gilthead sea bream and Partridge and Jenkins [16] in black bream and Jana et al. [7] in milkfish observed a marked effect of salinity on digestibility. Ration size alters nutrient intake and feed efficiency as excess feeds may lead to nutrient leaching. Limited feeding, however, suppresses growth. Information on these lines in milkfish is scant with particular reference to inland saline groundwaters whose chemical composition is very different from sea water because of its high hardness and low contents of sodium, potassium and chlorides [17].

Many of the world's cultured species are euryhaline, additional information on the effects of salinity on nutritional physiology can therefore shed light on the possible interactions between osmoregulation and feed utilization and thus increase our understanding on the nutritional and ecological physiology of euryhaline fish species such as milkfish. Among cultivable marine finfishes, milkfish Chanos chanos is known to grow quickly in coastal ponds and attain harvestable size in 6-12 months. Most of the studies on milkfish culture and its growth in India and elsewhere have been conducted in coastal areas using sea water/brackish water [18]. No attempts on milkfish culture have been made in semi-arid areas where plenty of high salinity (up to 30 ppt) inland saline groundwater is available. Since the effects of salinity on growth and feed conversion efficiency and digestibility are poorly known in milkfish, therefore present investigations are an attempt to, i) study the effect of inland saline ground water salinity and two (low and high) different ration levels on growth performance of milkfish under field conditions and, ii) study the effect of five different salinity levels on growth performance, feed utilization and digestive enzyme activity in fish maintained under laboratory conditions.

Methods

Experimental set up/design (Table 1)

fisheries-aquaculture-experimental-treatments

Table 1: Protocol of experimental treatments.

Two experiments (1 and 2) were conducted to evaluate the effect of inland water salinity on growth performance and some aspects of nutritional physiology in Chanos chanos. In first experiment (Expt. 1), a 100 day’s monoculture of milkfish (mean BW 0.02g) at two different salinities (10 and 25 ppt) was carried out in ponds fertilized with cow dung (10,000 kg ha-1 yr-1). In each salinity treatment, the fish were fed on two (4% and 6% BW) different ration levels (on a compounded supplementary diet containing 40% protein.

Experiment 1: Effect of two different salinities (10 ppt and 25 ppt) and two different ration levels (4% and 6%) on growth performance and carcass composition of milkfish fry under field conditions

Studies were conducted at the brackish water fish pond facility of the Department of Zoology and Aquaculture, CCS Haryana Agricultural University, Hisar (latitude 29010/N; longitude 75046/E), India. The experiment was conducted in 15×25m (area 375 m2) and 1.2m deep ponds from May to August 2005.

One month prior to the commencement of treatments, the ponds were cleaned; quick lime (CaO) at 200 kg ha-1 y-1 was applied and the ponds were then filled with inland saline groundwater. Two different salinities (10 and 25 ppt) in replicate of two were obtained from two aquifers discharging water of 10 and 25 ppt salinity, respectively. To maintain the desired level (90 cm), water was replenished as often as required. To fertilize the ponds, decomposed semi-dry cow dung @ 10,000 kg ha-1 yr-1 was applied at biweekly intervals, so that each treatment received about 580 kg of nitrogen ha-1 y-1. Cow dung was dissolved in pond water before application.

Stocking

Four week-old fry (average weight and length 0.02 g and 1.36 cm respectively) pre-adapted to 15 ppt seawater (SW) were obtained from the southern coastal areas (wild catch) of India. Before initiating the experimental treatments, fry were adapted to the desired salinity of the inland saline groundwater by gradually lowering or raising the salinity level over a 7-day period. Stocking rate was kept at 10,000 ha-1. Fish were fed twice daily (between 09.00-10.00 and 15.00-16.00 hours) on a diet containing approximately 40% protein [See 19 for details]. The feeding rate was adjusted every 15th day after weighing a representative sample of about 25-30 fish per treatment.

Water quality monitoring

Water samples were obtained in replicate of four from each treatment before sunrise for the study of physico-chemical characteristics and planktonic flora and fauna. Water temperature (oC), salinity and pH were recorded daily; dissolved oxygen (DO) and conductivity were monitored at weekly intervals using multiline microprocessor (F/set-3, E-Merck). All other water quality parameters were monitored only thrice (30, 60 and 100 days) during the experimental period of 100 days [20].

Biotic communities and chlorophyll

For qualitative and quantitative estimations of planktonic flora and fauna, water samples were collected in replicate of four from each treatment at the end of the 45 and 100 days intervals. Plankton samples were obtained by passing 20 L water from five different locations through plankton net (mesh size 125 μm). Plankton densities were estimated using a Sedgwick Rafter cell under a binocular microscope. Plankton species diversity (d) was determined using Shannon and Weaver's diversity index formula [21]. Identification of planktons to genus level was carried out using suitable keys and monographs.

Net primary productivity (NPP) was determined by light and dark bottle method [20]. For chlorophyll a, a known amount of water was filtered through Whatman filter paper (No. 40) and determined following Boyd [22]. The filter papers along with the sample were put into a plastic tube. Thereafter, 5 ml 90% cold acetone was added in each tube and the filter paper was ground with a tissue grinder. After the filter paper was crushed, a further 5 ml of 90 per cent cold acetone was added, stirred and the tubes were transferred to a refrigerator for 24h. Thereafter, the tubes were centrifuged for ten minutes at 3000 rpm and the supernatant was decanted in glass cuvettes and absorption was read at 665 and 750 nm.

Chlorophyll a = 11.9 (E665-E775) V/L × 1000/S (μg L-1)

E665 = optical density of samples at 665 nm

E750 = optical density of sample at 750 nm

V = acetone volume used (ml)

L = volume of sample filtered (ml)

S = length of light path in the spectrophotometer (cm) =1cm

Fish growth and energy assimilation

Fish growth (length and weight) was monitored thrice at the end of 30 and 60 days taking a representative sample of 40-50 fish from each treatment; and at the end of 100 days post-stocking when the ponds were completely drained and all the fish harvested and counted. Individual lengths (cm) and weights (g) were recorded from each treatment. To evaluate the well being of the fish, condition factor (k) and LWR were also determined.

Energy assimilation was computed based on the caloric content of fish at initial sampling and at harvest as follows:

equation

F = Energy in feed utilized
= Energy in feed (kCal g-1) × Total feed consumed

Experiment 2: Effect of five different (10, 15, 20, 25 and 30 ppt) salinity treatments at low (4%) and high (6%) ration levels on growth performance and feed conversion efficiency in milkfish fry under laboratory conditions

The experiment was conducted under laboratory conditions (25.0±1°C; LD 12:12) in transparent glass aquaria (60×30×30cm) with an aeration facility. Each aquarium was filled with 30 L water of the desired salinity, which was made, by mixing water from two different aquifers (discharging water of 10 and 30 ppt salinity, respectively). Each aquarium was then stocked with 15 fish (average BW and length 0.18 g and 2.89 cm, respectively). Four replicates of each treatment were maintained. All groups were fed daily at 4 or 6 per cent BW in two installments at 08.00 and 15.00 hours for 100 days on the formulated diet containing 40% protein [see 19 for details]. Fish were exposed to the diet for 4h during each ration; thereafter the uneaten food was siphoned out, stored and dried for calculating FCR. Fish were bulk weighed thrice during the experiment, with the feeding rate adjusted accordingly. Water in the aquaria was replenished daily with the desired salinity level. Faecal matter voided by the fish was collected each morning by siphoning approximately 12h after removal of the uneaten food. Faeces were oven dried (at 60°C) for subsequent analysis. Individual weights of the fingerlings were recorded at the beginning and at the end of the experiment with the help of a top pan electronic balance. Viscera of the fish were extirpated for the calculation of viscero-somatic index (VSI) and hepato-somatic index (HSI). Liver and muscle tissue were processed for the estimation of glycogen and muscle protein. The intestine was processed for the determination of protease enzyme activity, amylase, cellulase and lipase activity.

At the end of feeding trials, water samples from each aquarium were collected at 2-h interval for the estimation of excretory levels of total ammonia (N-NH+4) and reactive phosphate (o-PO-4) following APHA [20]. The concentrations of each metabolite obtained at the 2-h intervals were summed up and the quantity of nitrogen and phosphate excreted by the fish in aquaria water were calculated as follows:

equation

Feed ingredients, experimental diets, faecal samples, fish carcass (initial and final) were analysed following AOAC [23]. Dry matter (after desiccation in an oven at 105°C for 24 h), ash (incineration at 550°C for 4 h in a muffle furnace) and nitrogen were determined using the micro-Kjeldahl method. Crude protein contents were estimated by multiplying nitrogen by a factor of 6.25. Crude fat contents were determined by petroleum ether extraction (Soxhlet's apparatus). Phosphorus from the feed/carcass was determined spectrophotometrically after acid digestion (nitric acid:perchloric acid, 10:1), NFE % was calculated by subtracting the total percentage of crude protein, crude fat, ash, moisture and crude fibre from 100. Chromic oxide levels in the diets as well as in the faecal samples were estimated spectrophotometrically. Apparent protein digestibility (APD) of the diets was calculated as follows:

equation

Energy contents of the diets and fish were calculated using the average caloric conversion factors of 0.3954, 0.1715 and 0.2364 kJ g-1 for lipid, carbohydrate and protein respectively [24].

Statistical analysis

Data were subjected to multivariate analysis. Coefficient of correlation between different parameters and multiple regressions between independent (hydrochemical parameter) and dependent variables (biological/productivity indicating parameters) were determined by computer. Length-weight relationship was calculated according to the equation:

W = cLn or log W = log c + n log L

where, W = weight in kg, c = constant, n = exponential value of length and, L = length of fish in cm. Plankton species diversity (d ) was determined using the diversity index formula of Shannon and Weaver [21].

equation

where, d = species diversity, ni = number of individuals of ith species, N = total number of individuals.

ANOVA followed by Duncan's multiple range test (1955) was applied to determine significant differences between different salinity treatments maintained under laboratory conditions.

Results

Experiment 1: Effect of two different salinities (10 and 25 ppt) and two different ration levels (4% and 6%) on growth performance and carcass composition of milkfish fry under field conditions

Fish growth

Survival was independent of salinity level and varied between 80-86%. ANOVA revealed that irrespective of the salinity levels, a significant increase in weight gain and specific growth rate (SGR% g day-1) were observed in groups fed at low ration level (4%) in comparison with the groups fed at high ration level (6%). Significantly (P<0.05) higher values in growth performance were observed in fish maintained at 25 ppt salinity where the fish attained a mean BW of 56.5 g (mean length = 20.19 cm) in a culture period of 100 days. Growth rate per day at 4% ration level was 0.27g and 0.56g at 10 and 25 ppt respectively (Table 2).

fisheries-aquaculture-sanity-levels

Table 2: Effect of two different salinity levels (10 and 25 ppt) and two different ration levels (4% and 6% BWD-1) on growth performance of chanos chanos under field conditons-100 day treatment.

At the end of 100-day culture period, no significant variations in 'k' values were observed; however, highest values of ‘k’ were observed in fish grown at 25 ppt salinity and fed at low ration level. LWR indicate that 'n' values were found to obey cube law; however, highest values were observed in fish grown at 25 ppt salinity fed at low ration (Table 2). VSI and HSI values also followed growth patterns in the fish (Table 3).

fisheries-aquaculture-proximate-carcass

Table 3: Effect of two different salinity levels (10 and 25 ppt) and two different ration levels (4% and 6% BWD-1) on proximate carcass composition (% wet weight basis),viscero-somatic index (VSI) and hepato-somatic index (HSI) in chanos chanos under field conditions-100 day treatment.

Proximate carcass composition revealed a significant (P<0.05) increase in protein, fat, energy and phosphorus in fish fed at 4% ration level and the values of these parameters were higher in fish grown at 25 ppt (Table 3). Assimilated energy was also significantly (P<0.05) higher in fish maintained at 25 ppt salinity (Table 3) and fed on low ration level. With regard to fish weight (% Kcal g-1 fish), percentage assimilation varied significantly (P<0.05) with ration and salinity levels.

Water quality characteristics

Irrespective of the salinity levels, DO, BOD, pH and release of nutrients (total Kjeldahl nitrogen, NO3-N, SO4) were significantly (P<0.05) higher in treatment where the fish were fed at 4% ration level (Table 4). Higher values of chlorophyll a, Net primary productivity (NPP), and phytoplankton and zooplankton population coincided with the highest values of alkalinity, turbidity and TDS in ponds where the fish were fed at 4% ration level.

fisheries-aquaculture-pond-water-stocked

Table 4: Physico-chemical and biological characteristics of pond water stocked with Chanos chanos fry at two different salinity levels (10 and 25 ppt) and fed on two different ration levels (4% and 6% BW d-1) under field conditions - overall mean of three sampling dates.

Multivariate analysis revealed a significant positive correlation of Kjeldahl nitrogen (r=0.64), turbidity (r=0.70), TDS (r=0.38), phytoplankton (r=0.58), zooplankton (r=0.32) and chlorophyll a (r=0.58) with fish growth. Productivity indicating parameters viz., NPP (r=0.58), GPP (r=0.61), No3-N (r=0.50) also showed a significant positive correlation with fish weight gain. Plankton population remained significantly higher (Table 4) where the fish were fed on low ration level. Phytoplankton were represented by Chlorophyceae (5 Taxa), Bacillariophyceae (5 taxa) and Cyanophyceae (1 taxa). Zooplankton were represented by Copepoda (4 taxa) and Rotifera (3 taxa).

Experiment 2: Effect of five different (10, 15, 20, 25 and 30 ppt) salinity treatments at low (4% BW) and high (6% BW) ration levels on growth performance and feed conversion efficiency in milkfish fry under laboratory conditions

Differences in survival rate among different salinity treatments within each trial were very low (data not shown). In contrast, differences in growth rate were observed among various salinity treatments and the two ration levels. Growth performance of milkfish increased with each increase in the salinity from 10-25 ppt and thereafter a depression in growth with reduced digestibility and feed conversion efficiency were observed in fish maintained at 30 ppt. Among the two ration levels, growth performance, nutrient retention and digestibility parameters were significantly higher in the group fed at 4% BW d-1 than the groups fed at 6% BW d-1 (Table 5). Even excretion of metabolites (N-NH+4 and o-PO-4) remained low in fish fed at low ration level and more so at 25 ppt (Table 5).

fisheries-aquaculture-nutrient-retention

Table 5: Effect of five different salinity levels (10, 15, 20, 25 and 30 ppt) and two different ration levels (4% and 6% BWd-1) on growth performance, nutrient retention, digestibility and excretion of metabolites in Chanos chanos fry under laboratory conditions (LD 12:12 at 25±1oC) – 100 day treatment.

The concentration of metabolites (N-NH+4 and o-PO-4) excreted in the holding water decreased significantly with increase in salinity. Low values in total ammonia excretion and reactive phosphate production (mg kg-1 BW day-1) were recorded in fish maintained at 25 ppt. Peak values in N-NH+4 excretions occurred approximately 7 h post-feeding and the levels gradually declined thereafter. The concentration of reactive phosphate (o-PO4-) in the water was high when the samples were analysed 2h post-feeding, declining to the lowest level thereafter and reaching a peak approximately 20 h post-feeding. Thereafter, the levels again declined and remained low.

Body composition revealed significantly (P<0.05) higher values for protein, fat, energy and phosphorus, while those of moisture and ash contents remained significantly (P<0.05) lower in fish maintained at 25 ppt salinity and at low ration level (Table 6).

fisheries-aquaculture-laboratory-condition

Table 6: Effect of Five different salinity levels (10,15,20,25and 30 ppt) and two different ration levels (4% and 6% BW d-1) on proximate carcass composition (% wet weight basis) in chanos chanos fry under laboratory conditions (LD 12:12 at 25±10C)-100 day treatment

Determination of proteolytic, amylolytic and cellulolytic enzyme activity also revealed significantly (P<0.05) higher values (Table 7) in the digestive tract of fish maintained at 25 ppt and at low ration level. Muscle protein, HSI and VSI values also followed a similar trend. However, muscle glycogen and liver glycogen remained significantly (P<0.05) lower in fish maintained at 25 ppt and at low ration level, their levels increased with further increase in salinity (30 ppt, Table 7).

fisheries-aquaculture-muscle-glycogen

Table 7: Effect of five different salinity levels (10, 15, 20, 25 and 30 ppt) and two different ration levels (4% and 6% BW d-1) on muscle protein, muscle glycogen, liver glycogen, enzyme activities (protease, amylase, cellulase and lipase), viscero-somatic index (VSI) and hepato-somatic index (HSI) in Chanos chanos fry under laboratory conditions (LD 12:12 at 25±10C) – 100 day treatment.

Discussion

Growth performance (growth day-1 and SGR) increased significantly (P<0.05) with each increase in water salinity more so in fish fed at low ration level. Highest values however, were observed at 25 ppt salinity. High APD (83.57 at 4% ration level), nutrient retention, feed conversion efficiency and high intestinal enzyme activity coupled with high growth were also observed at 25 ppt salinity even in fish maintained under controlled conditions at low ration level, thus also supporting our field results. Low excretory levels of N-NH+4 and o-PO4 by fish maintained at 25 ppt, further support high nutrient retention and less energy expenditure by the fish at 25 ppt salinity level.

Growth performance of milkfish in inland saline groundwater at 25 ppt salinity in a culture period of 60-100 days is comparably rather higher than most of the studies reported in the literature [7,25]. Walsh et al. [26] were of the view that when natural food is supplemented with artificial/supplementary feed, higher growth is obtained. They also reported that formulated diet containing 50% crude protein enhanced weight gain in milkfish in brackish water ponds after 28 days. Studies of Jana et al. [25], however, have suggested that milkfish require about 40% dietary protein for high growth irrespective of the protein source (fishmeal/processed full fat soyabean). Higher growth in the present study may, therefore, be attributed either to the favourable salinity levels of inland saline groundwater and/or to the optimum protein (40%) or fat (9%) contents [25] of the diet.

Condition factor 'k' indicative of the well-being of the fish varied between 0.66 and 0.68 at the end of 100 days; however, significantly (P<0.05) higher values (0.68) were observed in fish maintained at 25 ppt. Bishara [27] reported that the values of condition factor decreased with age. In the present studies, highest values of 'n' (3.32) in LWR were observed in fish maintained at 25 ppt further support the highest growth attained by the fish at 25 ppt salinity at low (4%) ration level.

Feeding levels and protein contents appear to affect the amount of energy assimilated by fish [28]. In the present study, two ration levels (4% and 6%) were used and thus the assimilated energy appears to be a function of the both ration and salinity of the water. These results are in agreement with the observations of Sumagaysay and Borlongan [28] and Jana et al. [25] in milkfish and other fish species.

These studies have further revealed that exposure of milkfish to higher salinity (>25 ppt) not only repressed growth but also affected digestibility and other physiological parameters such as feed conversion efficiency, digestive enzyme activity, liver and muscle glycogen levels, VSI and carcass composition. As the intestine plays a major role in osmoregulation, salinity-mediated decrease in digestibility may therefore be due in part to a higher rate of food movement in the fish maintained at high salinities and thus reducing the time required for more and complete digestion and absorption of nutrients. These results are similar to those reported by Ferraris et al. [14] and Jana et al. [7] in milkfish. De Silva and Perera [13] found that food intake in mullets increased in high salinities, a finding which might be related to a higher rate of food movement and lower digestibility under these conditions. As marine fish drink water for osmoregulatory reasons, it is possible that digestive efficiency is compromised in sea water because of the food motility changes necessitated by osmoregulatory processes. A fish exposed to higher salinities has to expend more energy to meet the metabolic cost for ionic and osmotic regulation [29], it is thus presumed that growth and feed conversion might be improved if the external environment is manipulated by maintaining optimum salinity levels in order to reduce these costs. Growth retardation at high salinity treatments in milkfish can probably also be related to habitat preference, since the wild fry cease their pelagic mode of life and start migrating toward the estuarine environments where the salinity is lower than in the open sea.

Fish maintained at 25 ppt salinity and fed at low ration level had large accumulations of fat, as revealed by high VSI. Low values in muscle and liver glycogen in fish at 25 ppt salinity indicate utilization by the fish thus sparing protein for accumulation. High values of muscle and carcass protein and also of fat in fish at 25 ppt salinity also lend support to these findings. High retention of nutrients and low excretion of metabolites (N-NH+4 and o-PO4) at 25 ppt salinity treatments further support the field results. Although milkfish is a euryhaline species, higher salinity treatments (>25 ppt) not only repressed growth performance but also affected FCR, digestibility and other physiological parameters. These results are similar to those obtained on milkfish [25] and gilthead sea bream, Sparus auratus, which are euryhaline species [15]. Their studies indicated better daily growth rate and feed conversion efficiency in sea bream grown at 28 ppt salinity then at low or at high salinities. Deacon and Hecht [30] also observed low growth rate and low feed conversion in juvenile spotted grunter, Pomadasys commersonii, at low salinity (5 ppt) than in iso-osmotic or hyper-osmotic (>12 ppt) salinity. Partridge and Jenkins [16] also obtained high SGR and improved FCR in juvenile black bream when exposed to 24 ppt than to 60 ppt.

The effects of salinity are also well reflected in the physico-chemical and biological characteristics of the pond water. Although no marked variations in DO concentrations were observed at the end of 100 days. DO concentrations deceased with increased salinity and statistically showed a significantly negative correlation with fish weight gain. Statistically, fish weight gain, growth percentage gain and SGR showed a significantly positive correlation with most of the water quality parameters including nutrients and productivity indicating parameters (NPP and GPP) except with BOD5 (r= -0.64), carbonates (r= –0.53), bicarbonates (r=-0.48), chlorides (r= -0.3), magnesium (r= -0.21) and NH4-N (r= -0.55), clearly revealing that high salinity (upto 25 ppt) of inland saline groundwater favours high growth of milkfish.

Available nitrogen (NO3-N), NO2-N, NH4-N, turbidity and NPP, in general, increased significantly (P<0.05) with increased water salinity and showed a positive correlation with fish weight gain (growth percentage gain and SGR), indicating that fish growth is also influenced by the trophic status of the ponds. Many other studies [31] also showed that fish growth is positively correlated with the trophic status of pond waters.

Application of multiple regression models indicated that fish growth (weight gain) is significantly (P<0.05) correlated with NO3-N, Kjeldahl nitrogen, o-PO4, SO4, TDS, hardness, conductivity, alkalinity and turbidity, clearly revealing that milkfish is a euryhaline fish species, highly tolerant to high hardness and thus its growth appears to be significantly correlated with the trophic status of the ponds.

Conclusion

From aquaculture point of view, present studies have revealed that inland saline groundwater of high salinity can be profitably utilized for the culture of milkfish. Highest growth and feed utilization were observed when the fish were cultured at 25‰ salinity and fed at 4% ration level.

Competing Interests

None declared.

Authors’ Contributions

UKB: Looked after the experiment, collected samples and analysed physico-chemical characteristics; SKG: Planned the experiment, arranged the basic requirements, and drafted the manuscript; AB: Carried out analysis of biological characteristics, performed statistical analysis and finalized the manuscript.

Acknowledgement

The research work of Dr SK Garg was supported from the research grant “Fish production using brackish water in arid ecosystem” [C(b) Zoo-9-ICAR-NATP] (World Bank).

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