Partial replacement of fishmeal by Azolla cristata in diets for fingerling common carp, Cyprinus carpio var. communis

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Common carp fed diets with up to 10% Azolla cristata replacement for fishmeal showed no significant differences in growth, while higher levels reduced growth and altered hematological and biochemical parameters.

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This study evaluated whether partially replacing fishmeal with graded levels of the aquatic macrophyte Azolla cristata in iso-nitrogenous and isocaloric diets (42% crude protein) would affect growth and physiological indices in fingerling common carp (Cyprinus carpio var. communis) over a 12-week (84-day) feeding trial with triplicate groups per diet. Fishmeal replacement at 0% and up to 10% Azolla showed no significant differences in growth performance, but higher inclusion levels (20–50%) progressively reduced live weight gain, specific growth rate, feed conversion ratio, and protein retention efficiency; hematological parameters and fish protein content also showed linear declines with increasing Azolla. Serum biochemical parameters decreased with higher Azolla inclusion except glucose, cholesterol, ALT, and AST, which increased, and a key limitation is that the preprint does not present peer-reviewed validation. This paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

A 12-week growth experiment was conducted to evaluate the suitability of Azolla cristata as fish meal substitute for fingerling Cyprinus carpio var Communis . Six iso-nitrogenous and isocaloric (16.17 kJ g − 1 GE) diets were formulated to contain 42% crude protein and each treatment had three replicates with a mean initial weight of 3.4 ± 0.2 g. A. cristata in gradation of 0, 10, 20, 30, 40 and 50% were fed in order to check possible replacement of fish meal. No significant ( P  > 0.05) differences in growth performance of fish fed on diets containing up to 10% inclusion and the control were seen. However, further increase in Azolla meal resulted in progressively reduced growth performance of fish in terms of live weight gain (LWG), specific growth rate (SGR), feed conversion ratio (FCR) and protein retention efficiency (PRE). All hematological parameters had a linear declining trend as the proportion of Azolla meal in the diet was increased. Protein content was found significantly (P < 0.05) reduced in the fish fed higher inclusion of Azolla meal. Serum biochemical parameters were also found to reduce with increasing inclusion of Azolla meal, except for glucose, cholesterol, alanine aminotransferase (ALT) and aspartate aminotransferase (AST) which showed higher concentration with increasing inclusion of Azolla meal. Based on the above results, it is suggested that 10% Azolla meal can be added as a replacement of fishmeal in practical diets for C. carpio communis , which would be helpful in reducing the cost of the feed as well as the appropriate use of aquatic macrophytes.
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Shah This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-1767137/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract A 12-week growth experiment was conducted to evaluate the suitability of Azolla cristata as fish meal substitute for fingerling Cyprinus carpio var Communis . Six iso-nitrogenous and isocaloric (16.17 kJ g − 1 GE) diets were formulated to contain 42% crude protein and each treatment had three replicates with a mean initial weight of 3.4 ± 0.2 g. A. cristata in gradation of 0, 10, 20, 30, 40 and 50% were fed in order to check possible replacement of fish meal. No significant ( P > 0.05) differences in growth performance of fish fed on diets containing up to 10% inclusion and the control were seen. However, further increase in Azolla meal resulted in progressively reduced growth performance of fish in terms of live weight gain (LWG), specific growth rate (SGR), feed conversion ratio (FCR) and protein retention efficiency (PRE). All hematological parameters had a linear declining trend as the proportion of Azolla meal in the diet was increased. Protein content was found significantly (P < 0.05) reduced in the fish fed higher inclusion of Azolla meal. Serum biochemical parameters were also found to reduce with increasing inclusion of Azolla meal, except for glucose, cholesterol, alanine aminotransferase (ALT) and aspartate aminotransferase (AST) which showed higher concentration with increasing inclusion of Azolla meal. Based on the above results, it is suggested that 10% Azolla meal can be added as a replacement of fishmeal in practical diets for C. carpio communis , which would be helpful in reducing the cost of the feed as well as the appropriate use of aquatic macrophytes. C. carpio. Azolla cristata Growth Replacement Protein retention Serum hematological parameters Introduction In intensive aquaculture, feeding constitute more than 50% of operating cost with protein recognized as the most costly component of formulated feeds. Fish meal (FM) is conventionally used as the main ingredient in formulated feeds due to its known nutritional profile and high palatability, making it the most expensive protein source not only in aquaculture feeds but also in various animal feeds (Shpigel et al. 2017 ). However, due to upsurge of FM utilization in livestock and poultry, the global demand will soon exceed the production, thereby, further raising the price of FM (Hardy 2010 ). It is apparent that developing countries will be inept to depend on FM as a chief protein source in aquafeeds and the traditional ingredients used in formulated feeds like cottonseed meal, soybean meal groundnut oil and mustard oil cake are scanty, and thus not easily available to fish farmers and aquafeed producers. This has hampered the growth and cost of aquaculture industry in most of the developing countries (Ghosh et al. 2019 ). Therefore, research in this line is going on from past several decades to find out the possible replacement for FM with locally available and cheaper protein sources. In the past, several attempts have been made to incorporate plant protein sources in fish feed and these sources have a great success in replacement of FM for the diets of fish up to some extent. The aquatic free-floating fern Azolla cristata often referred to as “super plant” due to its high productivity, has attracted attention as a nitrogen fertilizer and source of dietary nitrogen for herbivorous fish (Das et al. 2018 ). It is regarded as a superior ingredient in fish feed industry due to its excellent nutritional profile, growth promoter mediators and easy to cultivate (Sheeno and Sahu 2006 ; Das et al. 2018 ). The crude protein content of Azolla is found in the range from 20–30% (Basak et al. 2002 ; Das et al. 2018 ; Magouz et al. 2020 ) and found optimum for growth. Besides good protein content it is naturally rich in vitamins, minerals, biopolymers and often some probiotics (Pillai et al 2002 ). It is well documented that Azolla can be used as carp feed which convert its raw protein into best edible protein (Maity and Patra 2008 ; Datta 2011 ). It has been suggested that feeding dried and processed Azolla improved growth and feed utilization in rohu, common carp, silver carp, mrigal, Tilapia mossambica , and Nile tilapia (Fiogbe et al. 2004 ; Gangadhar et al. 2017 ). However, Sheeno and Sahu, ( 2006 ) reported that protein utilization ability of rohu fry was diminished after fed diet containing higher inclusion of Azolla . Moreover, it has also been suggested by some workers that Azolla meal should be used to replace sizeable quantity of FM from the diets of some cultured fish species such as 20% in O. niloticus (Abou, et al. 2007 ), 45% in Cirrhinus mrigala fry (Gangadhar et al. 2014 ) and 10–20% FM can be replaced in the diet of GIFT tilapia (Magouz et al. 2020 ), respectively. Cyprinus carpio communis ranks third among thoroughly cultivated and economically significant fresh water fish species in the world (Odegard et al. 2010 ). It is commonly called as scale carp and is hardy in nature and can tolerate a wide variety of conditions (Flajshans and Hulata 2006 ). C. carpio communis is the dominant pond culture fish with great economic value in domestic market in India. The fish is very nutritious, tasty and easily digested and more affordable and accessible, therefore highly preferred in locality (Ahmad et al. 2011 ). However, due to population expansion and increasing understanding that capture fisheries are depleting, therefore it is mandatory to find out possibilities offered by aquaculture through extensive/semi-intensive techniques for providing substitute to animal protein in the region. Being economically significant plus agreeable to aquaculture, the nutritional research on this valuable species is still going on. Since, the culture of scale carp mostly depends on FM as a feed input, there is currently no report available on the substitution of FM by Azolla meal for this species. Therefore, the present experiment was firstly designed to investigate whether dietary inclusion of Azolla meal can partially replace dietary fish meal and secondly to evaluate the effect of graded levels of Azolla meal on growth performance of fingerling C. carpio . Materials And Methods Sample collection In this study, an attempt was made to utilize the aquatic macrophyte for feed preparation. Azolla cristata was freshly collected from the Dal Lake, Srinagar (Latitude 340 07′ N and longitude 740 52′ E, Altitude. 1580 m) and transported to Departmental wet laboratory in clean plastic bags. To eradicate residual soil and debris, the collected weed was thoroughly washed using tap water followed by sun-drying (32–35°C) and crushed homogenously into fine meal (200 µm) which was stored in air-tight plastic polythene bags and kept in refrigerator (4°C) until used for diet preparation. Experimental Diets Six dry diets were prepared in which fishmeal was replaced with Azolla meal at 0%, 10%, 20%, 30%, 40% and 50% levels. The diets were fortified with vitamins and mineral salts prepared as per Halver ( 2002 ). 42% dietary protein was fixed which is reported optimum for the growth of fingerling C.carpio with a gross energy fixed at 16.17 kJ g − 1 for each diet. A mixture of corn and cod liver oil was used as the dietary lipid source to provide n-3 and n-6 fatty acids. The diets were prepared by our earlier adopted protocol (Ahmed 2007 ). Briefly, for preparing the test diets, gelatin was dissolved separately in a volume of water with constant heating and stirring followed by the addition of casein at 80°C. The mixer bowl was removed from heating and attached to a Hobart electric mixer (Hobart Corp., Troy, Ohio, U.S.A.) and dextrin was added. Other ingredients including vitamin and oil premixes were added to the lukewarm bowl (40°C) one by one with constant mixing. Lastly, carboxymethyl cellulose was added to the above mixture and the speed of the blender was gradually increased as the diet started to harden. The final diet obtained was poured into a Teflon-coated pan, air dried and stored at 4 0 C until used. Feeding trial Fingerlings of C. carpio var. communis in healthy state were collected from the Union Teritory, Government Fishery, Department, fish hatchery (Manasbal). These fingerlings were transported to fish feeding trial laboratory at the Department of Zoology, University of Kashmir in polythene bags filled with oxygen. The obtained fingerlings were first up all offered a preventive dip in KMnO 4 (1:3000) for about thirty seconds to rule out any possible infection and afterwards they were transferred to aqua blue coloured indoor circular plastic fish tanks (water volume capacity = 600L), where they were acclimatized for two weeks. The fingerlings were sorted out from the acclimatized lot and were distributed in to triplicate groups in 70-liter circular polyvinyl tanks (water volume 60 liter) fitted with a continuous water flow-through (1-1.5 l min − 1 ) system with 20 fish each group (n = 3) having average body weight of 3.4 ± 0.2 g. The study was conducted for 84 days. Test diets in the form of semi-moist balls (5 mm in diameter) were fed to apparent satiation twice daily at 08:00 and 18:00 hours. Consumption of diet was carefully monitored and the faecal matter was siphoned daily before and after feeding. Fish were not given any feed on the day of weekly measurements and their mass weight was recorded on a top-loading balance (Sartorus CPA- 224S 0.1 mg sensitivity, Goettingen, Germany) for calculating other growth parameters. All applicable international, national, and/or institutional guidelines for the care and use of animals were followed. All the protocols used have been approved by Animal Ethical Committee registered under R. No. 801/Go/RE/S/2003/CPCSEA. Water Quality Parameters Standard methods of APHA ( 1992 ) were used to calculate water parameters and the average water temperature, dissolved oxygen, free carbon dioxide, pH and total alkalinity based on daily measurements were 22.8–24.5 °C, 5.9–6.7, 3.5–5.7, 7.1–7.4 and 93.3–114 mg L − 1 , respectively. Sample collection and biochemical analyses For biochemical analysis 40 fishes at the start of the experiment were collected, sacrificed (MS-222) and pooled. Six subsamples were used from the pooled samples to analyze the initial whole body composition. At the end of the experiment, we took 10 fish from each replicate, sacrificed them, pooled and six subsamples of the pooled samples (n = 3×6) were analyzed for final carcass composition. Test diets, initial and final carcass were done using standard methods of AOAC ( 2005 ). Moisture content using thermostat (Yorko Instruments, New Delhi, India) at 105°C, crude protein by Kjeltec (8400, FOSS, Denmark), crude fat using soxlet extraction technique (FOSS Avanti automatic 2050, Sweden) gross energy content of test diets was determined using Parr calorimeter (Model 6400; USA) and ash was measured by combustion in a muffle furnace for 4–6 hrs (650°C). Blood Collection and serum biochemical parameters For hematological measurements, blood from six fish (n = 3×6) were collected from the caudal vein of anesthetized fish using heparinized syringe, pooled and three subsamples (n = 3×3) were used for analysis (hemoglobin; Hb g dL − 1 , hematocrit; Hct% and red blood cells (RBCs×10 6 µL − 1 ). Erythrocyte count was determined by an improved Neubauer hematocytometer with Dacies fluid as the diluting medium. Blood haemoglobin was estimated following the cyanmethaemoglobin method using Drabkins fluid. Hematocrit levels were determined using a microhematocrit centrifuge (REMI RM-12C, India) (Del Rio-Zaragoza et al. 2008 ). Blood plasma were analyzed for blood enzymes such as alanine aminotransaminase (ALT), aspartate aminotransaminase (AST), glucose, total protein, albumin, globulin, cholesterol, calcium, sodium, potassium and phosphorus by using veterinary biochemistry analyzer (VS2 Abaxis, USA). Statistical Analyses All growth data were subjected to one-way analysis of variance (ANOVA; Snedecor and Cochran 1968 ; Sokal and Rohlf 1981 ). Differences among the treatment means were determined by Tukey’s significant difference test (Tukey 1953 ) at a P < 0.05 level of significance. SPSS software was used for all statistical analysis. Results Growth response Growth performance and percentage survival of fingerling C. carpio communis are shown in Table 2 . No apparent deficiency symptoms or any morphological deformities have been observed in all the treatment groups. However, little mortality was recorded in fish fed higher inclusion levels of dietary Azolla . No significant (P > 0.05) differences were observed in growth performance among fish fed 0–10% Azolla incorporated diets. However, replacement of fishmeal with Azolla meal in diets D 3 (20%), D 4 (30%), D 5 (40%) and D 6 (50%) produced a significant (P < 0.05) difference with respect to growth rate, feed conversion, specific growth rate, protein gain and protein retention efficiency. Although maximum growth was achieved in fish fed the basal diet D 1 (0%), however, almost similar growth rate was also achieved with fish fed 10% Azolla diet (D 2 ). Significant (P < 0.05) decline in all growth parameters was recorded with fish fed diet having higher replacement of fishmeal with Azolla meal (D 3 to D 6 ) indicating that a maximum of 10% fishmeal can be replaced by Azolla meal without affecting the growth and conversion efficiencies . Table 1 Formulation and proximate composition of experimental diets Diets Ingredients (g 100g − 1 , dry diet) D 1 (0) D 2 (10) D 3 (20) D 4 (30) D 5 (40) D 6 (50) Fishmeal 1 24.19 21.77 19.35 16.93 14.51 12.09 Azolla 2 - 6.52 13.04 19.56 26.08 32.60 Casein 3 22.5 18.75 18.75 18.75 18.75 18.75 Gelatin 4 10 5.38 5.38 5.38 5.38 5.38 Corn oil 1.0 1.0 1.0 1.0 1.0 1.0 Cod liver oil 1.0 1.0 1.0 1.0 1.0 1.0 Mineral mix 2.0 2.0 2.0 2.0 2.0 2.0 Vitamin mix 5 3.0 3.0 3.0 3.0 3.0 3.0 Dextrin white 27.6 24.0 20.3 16.6 12.9 9.2 Carboxy methyl cellolose 4.0 4.0 4.0 4.0 4.0 2.0 Cellulose 4.8 4.3 4.0 3.4 3.0 2.6 Total 100 100 100 100 100 100 Calculated Crude Protein 42.0 42.0 42.0 42.0 42.0 42.0 Analysed Crude Protein 41.75 41.12 40.95 41.38 41.56 41.24 Analysed lipid content 2.23 2.20 2.20 2.21 1.98 1.99 Analysed moisture content 10.25 10.78 11.21 12.63 10.09 9.98 Analysed ash content 20.95 21.23 23.56 23.12 24.31 24.08 Gross energy (kJ/g, dry diet) 6 16.17 16.17 16.17 16.17 16.17 16.17 1 Fishmeal 62%; 2 Azolla 23%, 3 Casein 80%; 4 Gelatin 93% crude protein; 5 1g Vitamin mix + 2g œ-cellulose; 6 Calculated on the basis of fuel values 16.8, 14.11, 21.84, 20.28, 15.96 and 37.8 kJ g − 1 for fishmeal, azolla, casein, gelatin, dextrin and oils, respectively, as estimated on Gallenkamp ballistic bomb calorimeter. Table 2 Growth and conversion efficiencies of fingerling Cyprinus carpio communis fed fishmeal replaced diets a,b Varying levels of Azolla (mg kg − 1 dry diet) D 1 (0) D 2 (10) D 3 (20) D 4 (30) D 5 (40) D 6 (50) Average initial weight (g) 3.51±0.07 3.42±0.06 3.45±0.06 3.49±0.04 3.44±0.05 3.42±0.03 Average final weight (g) 12.98±0.52 a 12.48±0.41 a 11.55±0.56 b 10.64±0.48 c 9.63±0.63 d 9.06±0.47 d Live weight gain (%) c 270±4.15 a 265±3.67 a 235±3.15 b 205±2.27 c 180±3.09 d 165±3.41 e Specific growth rate d 1.16±0.07 a 1.15±0.05 a 1.07±0.03 b 0.99±0.04 b 0.91±0.06 b 0.87±0.07 c Feed conversion ratio e 1.91±0.57 d 1.75±0.48 e 1.98±0.39 d 2.4±0.37 c 2.6±0.29 b 2.7±0.36 a Protein efficiency ratio f 1.50±0.08 b 1.63±0.06 a 1.44±0.07 c 1.19±0.09 d 1.09±0.05 e 1.05±0.07 e Protein gain g 1.58±0.07 a 1.47±0.05 a 1.28±0.03 b 1.10±0.05 c 0.90±0.06 d 0.77±0.04 e Percentage survival 100 100 100 94 92 91 a Mean values of 3 replicates±SEM; b Mean values sharing the same superscripts in the same row are insignificantly different (P > 0.05). c Live weight gain (%) = Final body weight (g)-Initial body weight (g)/Initial body weight × 100. d Specific growth rate = 100 × ln (mean final weight) − ln (mean initial weight)/No. of days. e Feed conversion ratio (FCR) = Feed given (dry weight basis)/Body weight gain (wet weight basis) f Protein efficiency ratio (PER) = Wet weight gain (g)/ Protein fed (g). g Protein gain = (Final body protein × final body weight)−(Initial body protein × initial body weight). Carcass composition and hematological parameters Carcass composition and hematological parameters of C. carpio communis fed diets with different ratios of Azolla meal is depicted in Table 3 . Body protein remained unaffected for the groups fed dietary aquatic macrophyte up to 10% (D 2 ), however, a significant decrease ( P < 0.05) in the body protein was noted for the groups receiving diets with higher doses of fishmeal (D 3 -D 6 ) indicating that rate of protein synthesis could remain maximum at the inclusion of 10% Azolla meal. Body moisture content remained almost unchanged with the increasing inclusion of aquatic weed up to 20% (D 3 ) and, thereafter at D 4 -D 6 replacement of fishmeal with aquatic macrophyte, a significant increase ( P 0.05) change in fish fed diets containing varying proportions of fishmeal with Azolla meal. The hematological parameters remained almost insignificant ( P > 0.05) with the increase in the replacement of dietary fishmeal with Azolla meal up to 10% (D 2 ) indicating that replacement of fishmeal with aquatic weed up to this ratio is feasible for this fish. The RBC counts and Hb content decreased significantly ( P < 0.05) when more than 10% fishmeal was replaced with Azolla meal (D 3 -D 6 ) and such reduction in the hematological features was very high for the groups fed diet D 5 -D 6 where 40 and 50% of the dietary fishmeal was replaced by Azolla meal indicating that these diets become deficient in some essential micronutrients when fishmeal was replaced beyond 40%. Table 3 Carcass composition and hematological parameters of fingerling Cyprinus carpio communis fed fishmeal replaced diets a,b Varying levels of Azolla (mg kg − 1 dry diet) Initial D 1 (0) D 2 (10) D 3 (20) D 4 (30) D 5 (40) D 6 (50) Moisture (%) 78.61±5.21 75.47±3.4 e 76.73±2.7 d 76.15±2.4 d 77.51±2.9 c 78.68±2.6 b 79.12±4.6 a Crude protein(%) 13.92±0.6 15.96±0.4 a 15.64±0.1 a 15.24±0.4 ab 14.92±0.4 c 14.38±0.2 d 13.81±0.6 e Crude fat (%) 3.98± 0.14 4.91± 0.06 a 4.47± 0.08 b 3.85± 0.04 c 3.38±0.09 d 3.21±0.08 e 2.97± 0.05 f Crude ash (%) 2.68± 0.09 2.41±0.02 a 2.42±0.05 a 2.36± 0.07 a 2.38±0.03 a 2.40±0.02 a 2.37± 0.02 a Hemoglobin (g dL − 1 ) 8.51±0.13 a 7.64±0.16 b 7.12±0.12 c 6.52±0.25 d 5.71±0.11 e 5.17±0.17 f Hematocrit value (%) 34.81±0.23 a 31.17±0.39 b 27.66±0.17 c 23.85±0.15 d 19.23±0.19 e 16.11±0.13 f RBC (× 10 6 mm − 3 ) 3.68±0.13 a 3.09±0.15 b 2.81±0.17 c 2.56±0.15 d 2.13±0.18 e 1.59±0.17 f a Mean values of 3 replicates±SEM. b Mean values sharing the same superscripts in the same row are insignificantly different (P > 0.05). Serum biochemical parameters Serum biochemical parameters of fish fed with varying levels of aquatic macrophyte are presented in Table 4 . Dietary fishmeal replacement with Azolla meal significantly impacted serum biochemical parameters which decreased significantly (P < 0.05) in groups fed diets with higher inclusion of fishmeal (D 3 -D 6 ), except for AST, ALT, glucose and cholesterol content which showed a significant (P < 0.05) increase with incremental inclusion of Azolla meal. Maximum albumin, globulin, calcium, phosphorus, sodium, potassium and total protein content was obtained in fish fed basal diet (D 0 ) followed by D 2 (10%) inclusion of fishmeal indicating that replacement of fishmeal with Azolla meal up to this ratio could be possible without affecting the fish growth. Table 4 Serum biochemical parameters of fingerling Cyprinus carpio fed fishmeal replaced diets a,b Varying levels of Azolla (mg kg − 1 dry diet) D 1 (0) D 2 (10) D 3 (20) D 4 (30) D 5 (40) D 6 (50) Glucose (mmol L − 1 ) 4.94±0.07 d 5.42±0.06 c 6.86±0.06 b 5.91±0.04 c 6.39±0.05 b 7.72±0.03 a Albumin (g L − 1 ) 13.98±0.52 a 12.78±0.41 a 11.14±0.56 c 10.64±0.48 d 9.63±0.63 e 9.06±0.47 e Globulin (g L − 1 ) 14.76±1.15 e 13.23±1.67 b 11.98±1.15 c 10.36±1.27 d 10.08±1.15 d 9.97±1.24 d Total protein (g L − 1 ) 26.89±1.46 a 24.63±1.51 b 21.91±1.32 c 20.06±1.41 d 18.71±1.28 e 17.64±1.37 f Alanine aminotransferase (UL − 1 ) 0.87±0.07 d 0.91±0.05 bc 0.99±0.03 bc 1.07±0.04 b 1.13±0.06 b 1.17±0.07 a Aspartate aminotransferase (UL − 1 ) 2.45 ± 0.40 e 3.15 ± 0.33 d 3.37 ± 0.27 d 3.81 ± 0.57 c 4.03 ± 0.42 b 4.57 ± 0.35 a Calcium (mg dL − 1 ) 1.91±0.57 d 1.75±0.48 e 1.98±0.39 d 2.4±0.37 c 2.6±0.29 b 2.7±0.36 a Cholesterol (mmol L − 1 ) 2.09±0.08 a 2.34±0.06 b 2.58±0.07 ab 2.72±0.09 c 2.79±0.05 ab 2.86±0.07 b Phosphorus (mg dL − 1 ) 1.63±0.08 b 1.50±0.06 a 1.44±0.07 c 1.19±0.09 d 1.09±0.05 e 1.05±0.07 e Potassium (mmol L − 1 ) 1.58±0.07 a 1.42±0.05 b 1.28±0.03 c 1.10±0.05 d 0.90±0.06 d 0.77±0.04 e a Mean values of 3 replicates±SEM. b Mean values sharing the same superscripts in the same row are insignificantly different (P > 0.05). Discussion For sustainable aquaculture practice, use of cost-effective and alternate plant protein sources in replacement studies is still on its infancy. The probable causes of considering non-conventional plant feedstuffs not suitable as feed ingredient for fishes include meager nutritive potential in terms of poor digestibility and presence of anti-nutritional factors (Li et al. 2021 ). Cruz-Velasquez (2014) pointed out that aquatic macrophytes are imperative nutritional sources for herbivorous-omnivorous fishes and could replace 25% of formulated diets and 50% of commercial feeds without any detrimental effects on growth and body composition of fishes. The aquatic fern Azolla proliferate at high rates in freshwater bodies have modest protein content (19–31%) depending on their sources, strain and growing media (Fasakin et al. 2001 ). Water fern has gained attention as natural sources of food for fish species, either directly in fresh forms or in combination with other feedstuffs. Our results reveal the inadequacy of total replacement of fish meal with water fern at high levels of incorporation in practical diets for C. carpio communis fingerlings. The results of the present study are in conformity with the findings of El-Sayed, (1992) and Almazan et al. ( 1986 ) who reported that growth of fish decreases with increasing levels of added aquatic plant ingredients. Fasakin et al. ( 1999 ) also reported similar growth retardation and poor FCR when increased levels of dried water fern and duckweed meals were incorporated in the Nile tilapia diets. In the present study, it was evident that Azolla could be a good substitute for fish meal, where the replacement up to 10% of fish meal has no effect on growth performance of C. carpio communis fingerlings. Earlier reports suggested that inclusion of 25% Azolla microphylla and A. pinnata mixture in the diet of Labeo rohita significantly improved the growth and SGR (Datta 2011 ). Similarly in our study, incorporation of fish meal along with Azolla meal satisfied the nutritional requirement of C. carpio fingerlings. However, reduced feed efficiency at higher inclusion of Azolla meal (D 5 (40) and D 6 (50)) may be because of presence of anti-nutritional factors (ANFs) and high dietary fiber content which in turn reduced the growth performance (Kamali-Sanzighi et al. 2019 ; Magouz et al. 2020 ). It has been reported that higher dietary Azolla inclusion reduces the weight gain by increasing both the metabolic rate and energy expenditure, while decreasing the digestibility of ingredients, due to its ANF content (Ahmed et al. 2017 ; Mohammadi et al. 2018 ; Magouz et al. 2020 ).Nevertheless, the study of chemical and amino acid composition of water fern basically displayed the nutritional characteristics of these ingredients as fish feed (Chakrabarti et al. 2018 ). Azolla can be used as a potential replacer of expensive FM in herbivorous species because of complementary digestive enzyme profile and the presence of ω-6 fatty acids from Azolla diet (Mosha 2018 ). In addition, fish fed Azolla supplemented diet resulted in improved protein conversion, mobilization and utilization of glycogenic amino acids. However, excess Azolla supplementation reduced fish growth and conversion efficiency, possibly due to the presence of high fiber content and low protein digestibility (Mosha 2018 ). O. niloticus and T. mozambicuss exhibited better growth performance in a range of 20–42% of dietary Azolla inclusion (Fiogbe et al. 2004 , Ebrahim et al. 2007 ). Besides these, some reports propose positive growth even at 50% inclusion of Azolla meal (Almazan et al. 1986 ; El-Sayeed 1992). Nevertheless, despite being a microphagous omnivore fish, poor growth performance was reported in Tilapia zillii fed Azolla meal (Abdel-Halim et al. 1998 ). Similarly, O. niloticus and T. rendalli exhibited reduced growth pattern when fed Azolla incorporated diets (Micha et al. 1988 ). Literature suggests that various grades of Azolla levels have been incorporated in species belonging to family Cyprinidae . Improved feed utilization and growth rate was reported in rohu fed 10–50% Azolla meal in the diet (Tuladhar 2003 ; Datta 2011 ; Panigrahi 2014). While Orange fin labeo (Gangadhar et al. 2017 ), Catla (Umalatha 2018), silver carp and mrigal (Tuladhar 2003 ) and grass carp (Majhi et al. 2006 ) reported to have a range between 10–25% Azolla inclusion level in the diet (Kumari 2017). Our results from the current investigation are in line with the findings reported on above fish species with the inclusion levels of Azolla meal up to 10% that resulted in best growth performance of the candidate fish species. Carcass composition is altered by numerous endogeneous and exogenous factors that often indicate quality of cultured fish species (Khan and Khan 2020a , b ). Both protein and ash are controlled endogenously while as lipid values are altered by both of these factors. It is widely acknowledged that carcass protein and fat are the main attributes of interest and contribute to the suitability of fish meat for processing and storage. Further it has been suggested that feeding nutrient deficient diets results in impaired protein accretion and surplus fat deposition in liver, fillet or peritoneal cavity. In the present study, body protein decreased with higher inclusion of fishmeal with Azolla meal. This could be due to poor quality of plant protein compared to that of fish meal. However, the diets containing higher level of Azolla weed inclusion resulted in significantly high carcass moisture and lower lipid content. The high moisture and low lipid content of C. carpio communis fingerlings fed Azolla incorporated diets may be credited to the elevated plant protein derived from aquatic weed. Similarly, tilapia and common carp fed plant protein diets resulted in improved carcass moisture and reduced lipid content (Hassan and Edwards 1992 ; Hossain and Jauncey 1989 ). Datta ( 2011 ) reported that incorporation of Azolla resulted in reduction of body lipid content but their body protein content remained unaffected among all the treatments. Micha et al. ( 1988 ) reported the similar trend of body protein and lipid content in O. niloticus and T. rendalli fed Azolla supplemented diets in both the species. One of the effective tools for understanding the physiological and pathological changes in fishes is ample knowledge of blood parameters. The blood parameters offer information on health status of a fish like metabolic disorders, deficiencies and chronic stress in response to changes related to diet, quality of water and ill health (Denson et al. 2003 ; Banaee et al. 2008 ; Khan and Khan 2021 a,b,c,). Hematological parameters such as Hb, Hct%, RBCs showed an insignificant relationship with increase in dietary Azolla meal up to 10% (D 2 ) beyond which significant decline was apparent. The highest values of these data were observed in D 1 followed by D 2 group. It is well known fact that Hb, Hct and RBC count are related to the non-specific immune function, where high Hb and RBC count can be taken as an indication of good health. Earlier studies on fish fed diet rich in plant protein sources exhibited reduced blood Hct and Hb (Pham et al. 2008; Lim and Lee 2008 ). It is a well-known fact that hematological parameters are drastically affected by imbalanced diets, presence of anti-nutritional factors and environmental conditions (Garrido et al. 1990 ; Lim and Lee, 2009 ). The results of current research work determined that a reduction in haematological values corresponds with the poor growth performance, especially in the D 4 (30%) -D 6 (50%) group. Serum biochemical parameters are one of the useful indices for monitoring the health and physiological condition of fishes and are widely been used to determine the effects of feed additives on fish health (Fanouraki et al. 2007 ; Shi et al. 2006 ; Hoseinifar et al. 2010 ; Parrino et al. 2018 ; Fazio et al. 2019 ). These serum parameters can prove a pivotal tool for detecting illness and response to therapy. In aquaculture it is necessary to evaluate the serum biochemical parameters which enable us to know the normal physiological condition of the fish under study (Patrichi et al. 2011). Proteins are among the leading sources of energy in fishes and play a significant role in the blood glucose level in fishes (Shweta et al. 2012). In our study dietary inclusion of Azolla meal decreased total serum protein of C. carpio communis fingerlings which may be due to reduced rate of protein synthesis in fish fed higher levels of dietary Azolla meal. Potassium, phosphorous, calcium etc, are some of the commonly analyzed blood electrolytes. Calcium is a component of bones and also regulates nerve and muscle functions in fish. Potassium ion is majorly found in intercellular fluid and possesses an important function of carbohydrate metabolism in nerve fibers of animals including fish. Alteration in potassium concentration affects heart function and causes neurotoxic damage to the central nervous system of the fish (Adediji 2010). Potassium level in our study shows significant variation. Similarly significant variation was also found in calcium and phosphorous activity of fingerling C. carpio communis when compared with the group of fish fed basal diet (D 0 ). On the other hand cholesterol shows the reverse trend means it starts to increase on higher inclusion of dietary Azolla . Alanine aminotransferase (ALT) and aspartate aminotransferase (AST) are enzymes found in the different tissues of liver, kidneys, heart, skeletal muscle, pancreas, spleen, erythrocyte, brain and gills (Hadi et al. 2009 ). These blood plasma enzymes are calculated clinically as biomarkers for liver health. On injury these enzymes are being released directly into blood hence provide information about liver dysfunction. In our study serum ALT and AST increased significantly as FM was replaced with Azolla meal. It indicates that Azolla replacement of FM had negative impact on the liver. However, Xu et al. ( 2018 ) found that serum ALT and cholesterol levels were significantly lower than that of control group in C. carpio fed FM replaced diets. Serum glucose reflected the status of normal metabolism in the body and the healthy degree of liver function (Zhao 2006 ; Xu et al. 2018 ). Serum glucose levels were also found to increase with higher inclusion levels of dietary Azolla among all the groups. Our results suggested that fish was not able to maintain normal glucose metabolism at higher inclusion levels and causing burden to the liver metabolism which was also supported by the higher values of AST and ALT levels. Conclusions The present study demonstrated acceptable nutritional value of Azolla meal as an ingredient in the diets for C. carpio communis fingerling. The aquatic macrophyte seems to be a good replacer of fishmeal in practical diets for this fish at 10% inclusion level without any adverse effect on growth, conversion, hematological and serum biochemical parameters of C. carpio communis . Azolla meal could also be well incorporated to make eco-friendly, cost-effective practical feeds for mass production of fingerling C. carpio communis through its intensification. Declarations Acknowledgements The authors are grateful to the Head, Department of Zoology,University of Kashmir, Hazratbal, Srinagar, India, for providing the laboratory facilities. We are also pleased to Department of Fisheries, Seed Hatchery, Manasbal, Ganderbal (Jammu & Kashmir) for providing carp fingerlings to carry out this experiment. Author contribution Imtiaz Ahmed: Provided expert assistance and is a scientific advisor for designing this study. He also contributed to the drafting of the paper; Younis Mohd Khan; The second author, Younis Mohd Khan conducted the feeding trial and substantially contributed to the writing of the manuscript, statistical analysis and interpretation of the data; Anzar Lateef: The third author, Anzar Lateef contributed to the writing of the manuscript and interpretation of the data; Aamir Majeed: The fourth author, Aamir Majeed contributed to the writing of the manuscript and interpretation of the data; Manzoor A. Shah; The fifth author, Manzoor A. Shah contributed for the identification and collection of aquatic macrophytes. Funding This study was supported by Ministry of Environment, Forest & Climate Change (MoEF & CC) under its program National Mission on Himalayan Studies (NMHS), G.B. Pant National Institute of Himalayan Environment (NIHE), Kosi-Katarmal, Almora in its order No. GBPNI/NMHS-2020-21/MG/TSP/39 Data availability statement The data used in this is including within the manuscript. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-1767137","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":114715093,"identity":"d7d1fe01-94fb-48f8-a51b-b00da277d855","order_by":0,"name":"Imtiaz Ahmed","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAz0lEQVRIiWNgGAWjYBACNiA+AGYxMx9gYGwgSgszVAs7WwJxWoCmQ2l+HgPitPCJnT944Mcfu2iDwzzfJH7usJFjYD98dANeh0knMxzs4UnO3XCYd5tk75k0YwaetLQbhLQc4JFgBmuR4G07nNggwWNGUMvBPwb1QC08zyT/EqvlME/CYZAWNmlibTE4LHPgeO7Mw2zG1rJtacZshPwiPzvx8cc3f6pz+84ffnjzbZuNHD/74WN4tSADFgmwvcQqBwHmD6SoHgWjYBSMgpEDAD45SXSu3gRSAAAAAElFTkSuQmCC","orcid":"","institution":"University of Kashmir","correspondingAuthor":true,"prefix":"","firstName":"Imtiaz","middleName":"","lastName":"Ahmed","suffix":""},{"id":114715095,"identity":"ea571b74-1f25-4e83-8847-d05ac885d8e5","order_by":1,"name":"Younis Mohd Khan","email":"","orcid":"","institution":"University of Kashmir","correspondingAuthor":false,"prefix":"","firstName":"Younis","middleName":"Mohd","lastName":"Khan","suffix":""},{"id":114715098,"identity":"ec3a15c6-a292-4822-8c9c-198c2f86bc9f","order_by":2,"name":"Anzar Lateef","email":"","orcid":"","institution":"University of Kashmir","correspondingAuthor":false,"prefix":"","firstName":"Anzar","middleName":"","lastName":"Lateef","suffix":""},{"id":114715100,"identity":"cb2ba899-429c-4ae8-a365-0c10a0fe2b0c","order_by":3,"name":"Aamir Majeed","email":"","orcid":"","institution":"University of Kashmir","correspondingAuthor":false,"prefix":"","firstName":"Aamir","middleName":"","lastName":"Majeed","suffix":""},{"id":114715101,"identity":"dbee43fe-ceac-4170-94ba-392ebafbcddb","order_by":4,"name":"Manzoor A. Shah","email":"","orcid":"","institution":"University of Kashmir","correspondingAuthor":false,"prefix":"","firstName":"Manzoor","middleName":"A.","lastName":"Shah","suffix":""}],"badges":[],"createdAt":"2022-06-17 04:59:17","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-1767137/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-1767137/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":23215926,"identity":"e174dbbd-f20a-4c2f-8183-2927ed15bdee","added_by":"auto","created_at":"2022-06-29 07:44:23","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":345051,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-1767137/v1/0fa178a6-a5b9-4570-9692-2831d220ea3a.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Partial replacement of fishmeal by Azolla cristata in diets for fingerling common carp, Cyprinus carpio var. communis","fulltext":[{"header":"Introduction","content":"\u003cp\u003eIn intensive aquaculture, feeding constitute more than 50% of operating cost with protein recognized as the most costly component of formulated feeds. Fish meal (FM) is conventionally used as the main ingredient in formulated feeds due to its known nutritional profile and high palatability, making it the most expensive protein source not only in aquaculture feeds but also in various animal feeds (Shpigel et al. \u003cspan citationid=\"CR60\" class=\"CitationRef\"\u003e2017\u003c/span\u003e). However, due to upsurge of FM utilization in livestock and poultry, the global demand will soon exceed the production, thereby, further raising the price of FM (Hardy \u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e2010\u003c/span\u003e). It is apparent that developing countries will be inept to depend on FM as a chief protein source in aquafeeds and the traditional ingredients used in formulated feeds like cottonseed meal, soybean meal groundnut oil and mustard oil cake are scanty, and thus not easily available to fish farmers and aquafeed producers. This has hampered the growth and cost of aquaculture industry in most of the developing countries (Ghosh et al. \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). Therefore, research in this line is going on from past several decades to find out the possible replacement for FM with locally available and cheaper protein sources.\u003c/p\u003e \u003cp\u003eIn the past, several attempts have been made to incorporate plant protein sources in fish feed and these sources have a great success in replacement of FM for the diets of fish up to some extent. The aquatic free-floating fern \u003cem\u003eAzolla cristata\u003c/em\u003e often referred to as \u0026ldquo;super plant\u0026rdquo; due to its high productivity, has attracted attention as a nitrogen fertilizer and source of dietary nitrogen for herbivorous fish (Das et al. \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). It is regarded as a superior ingredient in fish feed industry due to its excellent nutritional profile, growth promoter mediators and easy to cultivate (Sheeno and Sahu \u003cspan citationid=\"CR58\" class=\"CitationRef\"\u003e2006\u003c/span\u003e; Das et al. \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). The crude protein content of \u003cem\u003eAzolla\u003c/em\u003e is found in the range from 20\u0026ndash;30% (Basak et al. \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e2002\u003c/span\u003e; Das et al. \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e2018\u003c/span\u003e; Magouz et al. \u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e2020\u003c/span\u003e) and found optimum for growth. Besides good protein content it is naturally rich in vitamins, minerals, biopolymers and often some probiotics (Pillai et al \u003cspan citationid=\"CR57\" class=\"CitationRef\"\u003e2002\u003c/span\u003e). It is well documented that \u003cem\u003eAzolla\u003c/em\u003e can be used as carp feed which convert its raw protein into best edible protein (Maity and Patra \u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e2008\u003c/span\u003e; Datta \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2011\u003c/span\u003e). It has been suggested that feeding dried and processed \u003cem\u003eAzolla\u003c/em\u003e improved growth and feed utilization in rohu, common carp, silver carp, mrigal, \u003cem\u003eTilapia mossambica\u003c/em\u003e, and Nile tilapia (Fiogbe et al. \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2004\u003c/span\u003e; Gangadhar et al. \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e2017\u003c/span\u003e). However, Sheeno and Sahu, (\u003cspan citationid=\"CR58\" class=\"CitationRef\"\u003e2006\u003c/span\u003e) reported that protein utilization ability of rohu fry was diminished after fed diet containing higher inclusion of \u003cem\u003eAzolla\u003c/em\u003e. Moreover, it has also been suggested by some workers that \u003cem\u003eAzolla\u003c/em\u003e meal should be used to replace sizeable quantity of FM from the diets of some cultured fish species such as 20% in \u003cem\u003eO. niloticus\u003c/em\u003e (Abou, et al. \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2007\u003c/span\u003e), 45% in \u003cem\u003eCirrhinus mrigala\u003c/em\u003e fry (Gangadhar et al. \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e2014\u003c/span\u003e) and 10\u0026ndash;20% FM can be replaced in the diet of GIFT tilapia (Magouz et al. \u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e2020\u003c/span\u003e), respectively.\u003c/p\u003e \u003cp\u003e \u003cem\u003eCyprinus carpio communis\u003c/em\u003e ranks third among thoroughly cultivated and economically significant fresh water fish species in the world (Odegard et al. \u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e2010\u003c/span\u003e). It is commonly called as scale carp and is hardy in nature and can tolerate a wide variety of conditions (Flajshans and Hulata \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2006\u003c/span\u003e). \u003cem\u003eC. carpio communis\u003c/em\u003e is the dominant pond culture fish with great economic value in domestic market in India. The fish is very nutritious, tasty and easily digested and more affordable and accessible, therefore highly preferred in locality (Ahmad et al. \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2011\u003c/span\u003e). However, due to population expansion and increasing understanding that capture fisheries are depleting, therefore it is mandatory to find out possibilities offered by aquaculture through extensive/semi-intensive techniques for providing substitute to animal protein in the region. Being economically significant plus agreeable to aquaculture, the nutritional research on this valuable species is still going on. Since, the culture of scale carp mostly depends on FM as a feed input, there is currently no report available on the substitution of FM by \u003cem\u003eAzolla\u003c/em\u003e meal for this species. Therefore, the present experiment was firstly designed to investigate whether dietary inclusion of \u003cem\u003eAzolla\u003c/em\u003e meal can partially replace dietary fish meal and secondly to evaluate the effect of graded levels of \u003cem\u003eAzolla\u003c/em\u003e meal on growth performance of fingerling \u003cem\u003eC. carpio\u003c/em\u003e.\u003c/p\u003e"},{"header":"Materials And Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eSample collection\u003c/h2\u003e \u003cp\u003eIn this study, an attempt was made to utilize the aquatic macrophyte for feed preparation. \u003cem\u003eAzolla cristata\u003c/em\u003e was freshly collected from the Dal Lake, Srinagar (Latitude 340 07\u0026prime; N and longitude 740 52\u0026prime; E, Altitude. 1580 m) and transported to Departmental wet laboratory in clean plastic bags. To eradicate residual soil and debris, the collected weed was thoroughly washed using tap water followed by sun-drying (32\u0026ndash;35\u0026deg;C) and crushed homogenously into fine meal (200 \u0026micro;m) which was stored in air-tight plastic polythene bags and kept in refrigerator (4\u0026deg;C) until used for diet preparation.\u003c/p\u003e \u003c/div\u003e\n\u003ch2\u003eExperimental Diets\u003c/h2\u003e\u003cp\u003eSix dry diets were prepared in which fishmeal was replaced with \u003cem\u003eAzolla\u003c/em\u003e meal at 0%, 10%, 20%, 30%, 40% and 50% levels. The diets were fortified with vitamins and mineral salts prepared as per Halver (\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e2002\u003c/span\u003e). 42% dietary protein was fixed which is reported optimum for the growth of fingerling \u003cem\u003eC.carpio\u003c/em\u003e with a gross energy fixed at 16.17 kJ g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e for each diet. A mixture of corn and cod liver oil was used as the dietary lipid source to provide n-3 and n-6 fatty acids. The diets were prepared by our earlier adopted protocol (Ahmed \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2007\u003c/span\u003e). Briefly, for preparing the test diets, gelatin was dissolved separately in a volume of water with constant heating and stirring followed by the addition of casein at 80\u0026deg;C. The mixer bowl was removed from heating and attached to a Hobart electric mixer (Hobart Corp., Troy, Ohio, U.S.A.) and dextrin was added. Other ingredients including vitamin and oil premixes were added to the lukewarm bowl (40\u0026deg;C) one by one with constant mixing. Lastly, carboxymethyl cellulose was added to the above mixture and the speed of the blender was gradually increased as the diet started to harden. The final diet obtained was poured into a Teflon-coated pan, air dried and stored at 4 \u003csup\u003e0\u003c/sup\u003eC until used.\u003c/p\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003eFeeding trial\u003c/h2\u003e \u003cp\u003eFingerlings of \u003cem\u003eC. carpio\u003c/em\u003e var. \u003cem\u003ecommunis\u003c/em\u003e in healthy state were collected from the Union Teritory, Government Fishery, Department, fish hatchery (Manasbal). These fingerlings were transported to fish feeding trial laboratory at the Department of Zoology, University of Kashmir in polythene bags filled with oxygen. The obtained fingerlings were first up all offered a preventive dip in KMnO\u003csub\u003e4\u003c/sub\u003e (1:3000) for about thirty seconds to rule out any possible infection and afterwards they were transferred to aqua blue coloured indoor circular plastic fish tanks (water volume capacity\u0026thinsp;=\u0026thinsp;600L), where they were acclimatized for two weeks. The fingerlings were sorted out from the acclimatized lot and were distributed in to triplicate groups in 70-liter circular polyvinyl tanks (water volume 60 liter) fitted with a continuous water flow-through (1-1.5 l min\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e) system with 20 fish each group (n\u0026thinsp;=\u0026thinsp;3) having average body weight of 3.4\u0026thinsp;\u0026plusmn;\u0026thinsp;0.2 g. The study was conducted for 84 days. Test diets in the form of semi-moist balls (5 mm in diameter) were fed to apparent satiation twice daily at 08:00 and 18:00 hours. Consumption of diet was carefully monitored and the faecal matter was siphoned daily before and after feeding. Fish were not given any feed on the day of weekly measurements and their mass weight was recorded on a top-loading balance (Sartorus CPA- 224S 0.1 mg sensitivity, Goettingen, Germany) for calculating other growth parameters. All applicable international, national, and/or institutional guidelines for the care and use of animals were followed. All the protocols used have been approved by Animal Ethical Committee registered under R. No. 801/Go/RE/S/2003/CPCSEA.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003eWater Quality Parameters\u003c/h2\u003e \u003cp\u003eStandard methods of APHA (\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e1992\u003c/span\u003e) were used to calculate water parameters and the average water temperature, dissolved oxygen, free carbon dioxide, pH and total alkalinity based on daily measurements were 22.8\u0026ndash;24.5 \u0026deg;C, 5.9\u0026ndash;6.7, 3.5\u0026ndash;5.7, 7.1\u0026ndash;7.4 and 93.3\u0026ndash;114 mg L\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e, respectively.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec7\" class=\"Section2\"\u003e \u003ch2\u003eSample collection and biochemical analyses\u003c/h2\u003e \u003cp\u003eFor biochemical analysis 40 fishes at the start of the experiment were collected, sacrificed (MS-222) and pooled. Six subsamples were used from the pooled samples to analyze the initial whole body composition. At the end of the experiment, we took 10 fish from each replicate, sacrificed them, pooled and six subsamples of the pooled samples (n\u0026thinsp;=\u0026thinsp;3\u0026times;6) were analyzed for final carcass composition. Test diets, initial and final carcass were done using standard methods of AOAC (\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2005\u003c/span\u003e). Moisture content using thermostat (Yorko Instruments, New Delhi, India) at 105\u0026deg;C, crude protein by Kjeltec (8400, FOSS, Denmark), crude fat using soxlet extraction technique (FOSS Avanti automatic 2050, Sweden) gross energy content of test diets was determined using Parr calorimeter (Model 6400; USA) and ash was measured by combustion in a muffle furnace for 4\u0026ndash;6 hrs (650\u0026deg;C).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003eBlood Collection and serum biochemical parameters\u003c/h2\u003e \u003cp\u003eFor hematological measurements, blood from six fish (n\u0026thinsp;=\u0026thinsp;3\u0026times;6) were collected from the caudal vein of anesthetized fish using heparinized syringe, pooled and three subsamples (n\u0026thinsp;=\u0026thinsp;3\u0026times;3) were used for analysis (hemoglobin; Hb g dL\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e, hematocrit; Hct% and red blood cells (RBCs\u0026times;10\u003csup\u003e6\u003c/sup\u003e \u0026micro;L\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e). Erythrocyte count was determined by an improved Neubauer hematocytometer with Dacies fluid as the diluting medium. Blood haemoglobin was estimated following the cyanmethaemoglobin method using Drabkins fluid. Hematocrit levels were determined using a microhematocrit centrifuge (REMI RM-12C, India) (Del Rio-Zaragoza et al. \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2008\u003c/span\u003e). Blood plasma were analyzed for blood enzymes such as alanine aminotransaminase (ALT), aspartate aminotransaminase (AST), glucose, total protein, albumin, globulin, cholesterol, calcium, sodium, potassium and phosphorus by using veterinary biochemistry analyzer (VS2 Abaxis, USA).\u003c/p\u003e \u003c/div\u003e\n\u003ch2\u003eStatistical Analyses\u003c/h2\u003e\u003cp\u003eAll growth data were subjected to one-way analysis of variance (ANOVA; Snedecor and Cochran \u003cspan citationid=\"CR62\" class=\"CitationRef\"\u003e1968\u003c/span\u003e; Sokal and Rohlf \u003cspan citationid=\"CR63\" class=\"CitationRef\"\u003e1981\u003c/span\u003e). Differences among the treatment means were determined by Tukey\u0026rsquo;s significant difference test (Tukey \u003cspan citationid=\"CR64\" class=\"CitationRef\"\u003e1953\u003c/span\u003e) at a P\u0026thinsp;\u0026lt;\u0026thinsp;0.05 level of significance. SPSS software was used for all statistical analysis.\u003c/p\u003e"},{"header":"Results","content":"\u003cdiv id=\"Sec11\" class=\"Section2\"\u003e \u003ch2\u003eGrowth response\u003c/h2\u003e \u003cp\u003eGrowth performance and percentage survival of fingerling \u003cem\u003eC. carpio communis\u003c/em\u003e are shown in Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e. No apparent deficiency symptoms or any morphological deformities have been observed in all the treatment groups. However, little mortality was recorded in fish fed higher inclusion levels of dietary \u003cem\u003eAzolla\u003c/em\u003e. No significant (P\u0026thinsp;\u0026gt;\u0026thinsp;0.05) differences were observed in growth performance among fish fed 0\u0026ndash;10% \u003cem\u003eAzolla\u003c/em\u003e incorporated diets. However, replacement of fishmeal with \u003cem\u003eAzolla\u003c/em\u003e meal in diets D\u003csub\u003e3\u003c/sub\u003e (20%), D\u003csub\u003e4\u003c/sub\u003e (30%), D\u003csub\u003e5\u003c/sub\u003e (40%) and D\u003csub\u003e6\u003c/sub\u003e (50%) produced a significant (P\u0026thinsp;\u0026lt;\u0026thinsp;0.05) difference with respect to growth rate, feed conversion, specific growth rate, protein gain and protein retention efficiency. Although maximum growth was achieved in fish fed the basal diet D\u003csub\u003e1\u003c/sub\u003e (0%), however, almost similar growth rate was also achieved with fish fed 10% \u003cem\u003eAzolla\u003c/em\u003e diet (D\u003csub\u003e2\u003c/sub\u003e). Significant (P\u0026thinsp;\u0026lt;\u0026thinsp;0.05) decline in all growth parameters was recorded with fish fed diet having higher replacement of fishmeal with \u003cem\u003eAzolla\u003c/em\u003e meal (D\u003csub\u003e3\u003c/sub\u003e to D\u003csub\u003e6\u003c/sub\u003e) indicating that a maximum of 10% fishmeal can be replaced by \u003cem\u003eAzolla\u003c/em\u003e meal without affecting the growth and conversion efficiencies .\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eFormulation and proximate composition of experimental diets\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"7\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colspan=\"7\" nameend=\"c7\" namest=\"c1\"\u003e \u003cp\u003eDiets\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIngredients\u003c/p\u003e \u003cp\u003e(g 100g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e, dry diet)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eD\u003csub\u003e1\u003c/sub\u003e(0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eD\u003csub\u003e2\u003c/sub\u003e(10)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eD\u003csub\u003e3\u003c/sub\u003e(20)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eD\u003csub\u003e4\u003c/sub\u003e(30)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eD\u003csub\u003e5\u003c/sub\u003e(40)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eD\u003csub\u003e6\u003c/sub\u003e(50)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFishmeal\u003csup\u003e1\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e24.19\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e21.77\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e19.35\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e16.93\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e14.51\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e12.09\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAzolla\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e6.52\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e13.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e19.56\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e26.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e32.60\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCasein\u003csup\u003e3\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e22.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e18.75\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e18.75\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e18.75\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e18.75\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e18.75\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGelatin\u003csup\u003e4\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e5.38\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e5.38\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e5.38\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e5.38\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e5.38\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCorn oil\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCod liver oil\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMineral mix\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e2.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e2.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e2.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVitamin mix\u003csup\u003e5\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e3.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e3.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e3.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e3.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDextrin white\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e27.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e24.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e20.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e16.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e12.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e9.2\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCarboxy methyl cellolose\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e4.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e4.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e4.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e4.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e4.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e2.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCellulose\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e4.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e4.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e4.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e3.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e3.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e2.6\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTotal\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e100\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e100\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e100\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e100\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e100\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e100\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCalculated Crude Protein\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e42.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e42.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e42.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e42.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e42.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e42.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAnalysed Crude Protein\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e41.75\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e41.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e40.95\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e41.38\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e41.56\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e41.24\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAnalysed lipid content\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2.23\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2.20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2.20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e2.21\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.98\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.99\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAnalysed moisture content\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e10.25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e10.78\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e11.21\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e12.63\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e10.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e9.98\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAnalysed ash content\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e20.95\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e21.23\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e23.56\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e23.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e24.31\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e24.08\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGross energy (kJ/g, dry diet)\u003csup\u003e6\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e16.17\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e16.17\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e16.17\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e16.17\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e16.17\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e16.17\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"7\"\u003e\u003csup\u003e1\u003c/sup\u003eFishmeal 62%; \u003csup\u003e2\u003c/sup\u003eAzolla 23%, \u003csup\u003e3\u003c/sup\u003eCasein 80%; \u003csup\u003e4\u003c/sup\u003eGelatin 93% crude protein; \u003csup\u003e5\u003c/sup\u003e1g Vitamin mix\u0026thinsp;+\u0026thinsp;2g œ-cellulose; \u003csup\u003e6\u003c/sup\u003eCalculated on the basis of fuel values 16.8, 14.11, 21.84, 20.28, 15.96 and 37.8 kJ g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e for fishmeal, azolla, casein, gelatin, dextrin and oils, respectively, as estimated on Gallenkamp ballistic bomb calorimeter.\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eGrowth and conversion efficiencies of fingerling \u003cem\u003eCyprinus carpio communis\u003c/em\u003e fed fishmeal replaced diets \u003csup\u003ea,b\u003c/sup\u003e\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"8\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colspan=\"6\" nameend=\"c7\" namest=\"c2\"\u003e \u003cp\u003eVarying levels of \u003cem\u003eAzolla\u003c/em\u003e (mg kg\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e dry diet)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eD\u003csub\u003e1\u003c/sub\u003e(0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eD\u003csub\u003e2\u003c/sub\u003e (10)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eD\u003csub\u003e3\u003c/sub\u003e (20)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eD\u003csub\u003e4\u003c/sub\u003e (30)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eD\u003csub\u003e5\u003c/sub\u003e (40)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003eD\u003csub\u003e6\u003c/sub\u003e (50)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eAverage initial weight (g)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3.51\u0026plusmn;0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e3.42\u0026plusmn;0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e3.45\u0026plusmn;0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e3.49\u0026plusmn;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e3.44\u0026plusmn;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e3.42\u0026plusmn;0.03\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eAverage final weight (g)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e12.98\u0026plusmn;0.52\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e12.48\u0026plusmn;0.41\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e11.55\u0026plusmn;0.56\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e10.64\u0026plusmn;0.48\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e9.63\u0026plusmn;0.63\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e9.06\u0026plusmn;0.47\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eLive weight gain (%)\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e270\u0026plusmn;4.15\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e265\u0026plusmn;3.67\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e235\u0026plusmn;3.15\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e205\u0026plusmn;2.27\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e180\u0026plusmn;3.09\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e165\u0026plusmn;3.41\u003csup\u003ee\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eSpecific growth rate\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.16\u0026plusmn;0.07\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.15\u0026plusmn;0.05\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.07\u0026plusmn;0.03\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.99\u0026plusmn;0.04\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.91\u0026plusmn;0.06\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.87\u0026plusmn;0.07\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eFeed conversion ratio\u003csup\u003ee\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.91\u0026plusmn;0.57\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.75\u0026plusmn;0.48\u003csup\u003ee\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.98\u0026plusmn;0.39\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e2.4\u0026plusmn;0.37\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e2.6\u0026plusmn;0.29\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e2.7\u0026plusmn;0.36\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eProtein efficiency ratio\u003csup\u003ef\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.50\u0026plusmn;0.08\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.63\u0026plusmn;0.06\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.44\u0026plusmn;0.07\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.19\u0026plusmn;0.09\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.09\u0026plusmn;0.05\u003csup\u003ee\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e1.05\u0026plusmn;0.07\u003csup\u003ee\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eProtein gain\u003csup\u003eg\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.58\u0026plusmn;0.07\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.47\u0026plusmn;0.05\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.28\u0026plusmn;0.03\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.10\u0026plusmn;0.05\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.90\u0026plusmn;0.06\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.77\u0026plusmn;0.04\u003csup\u003ee\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003ePercentage survival\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e100\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e100\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e100\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e94\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e92\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e91\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"8\"\u003e\u003csup\u003ea\u003c/sup\u003eMean values of 3 replicates\u0026plusmn;SEM;\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"8\"\u003e\u003csup\u003eb\u003c/sup\u003eMean values sharing the same superscripts in the same row are insignificantly different (P\u0026thinsp;\u0026gt;\u0026thinsp;0.05).\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"8\"\u003e\u003csup\u003ec\u003c/sup\u003eLive weight gain (%)\u0026thinsp;=\u0026thinsp;Final body weight (g)-Initial body weight (g)/Initial body weight \u0026times; 100.\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"8\"\u003e\u003csup\u003ed\u003c/sup\u003eSpecific growth rate\u0026thinsp;=\u0026thinsp;100 \u0026times; ln (mean final weight)\u0026thinsp;\u0026minus;\u0026thinsp;ln (mean initial weight)/No. of days.\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"8\"\u003e\u003csup\u003ee\u003c/sup\u003eFeed conversion ratio (FCR)\u0026thinsp;=\u0026thinsp;Feed given (dry weight basis)/Body weight gain (wet weight basis)\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"8\"\u003e\u003csup\u003ef\u003c/sup\u003eProtein efficiency ratio (PER)\u0026thinsp;=\u0026thinsp;Wet weight gain (g)/ Protein fed (g).\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"8\"\u003e\u003csup\u003eg\u003c/sup\u003eProtein gain = (Final body protein \u0026times; final body weight)\u0026minus;(Initial body protein \u0026times; initial body weight).\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec12\" class=\"Section2\"\u003e \u003ch2\u003eCarcass composition and hematological parameters\u003c/h2\u003e \u003cp\u003eCarcass composition and hematological parameters of \u003cem\u003eC. carpio communis\u003c/em\u003e fed diets with different ratios of \u003cem\u003eAzolla\u003c/em\u003e meal is depicted in Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e. Body protein remained unaffected for the groups fed dietary aquatic macrophyte up to 10% (D\u003csub\u003e2\u003c/sub\u003e), however, a significant decrease (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.05) in the body protein was noted for the groups receiving diets with higher doses of fishmeal (D\u003csub\u003e3\u003c/sub\u003e-D\u003csub\u003e6\u003c/sub\u003e) indicating that rate of protein synthesis could remain maximum at the inclusion of 10% \u003cem\u003eAzolla\u003c/em\u003e meal. Body moisture content remained almost unchanged with the increasing inclusion of aquatic weed up to 20% (D\u003csub\u003e3\u003c/sub\u003e) and, thereafter at D\u003csub\u003e4\u003c/sub\u003e-D\u003csub\u003e6\u003c/sub\u003e replacement of fishmeal with aquatic macrophyte, a significant increase (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.05) in moisture content was noted. Body fat showed continued decline with the increasing ratio of dietary aquatic macrophyte. However, the body ash showed insignificant (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026gt;\u0026thinsp;0.05) change in fish fed diets containing varying proportions of fishmeal with \u003cem\u003eAzolla\u003c/em\u003e meal. The hematological parameters remained almost insignificant (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026gt;\u0026thinsp;0.05) with the increase in the replacement of dietary fishmeal with \u003cem\u003eAzolla\u003c/em\u003e meal up to 10% (D\u003csub\u003e2\u003c/sub\u003e) indicating that replacement of fishmeal with aquatic weed up to this ratio is feasible for this fish. The RBC counts and Hb content decreased significantly (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.05) when more than 10% fishmeal was replaced with \u003cem\u003eAzolla\u003c/em\u003e meal (D\u003csub\u003e3\u003c/sub\u003e-D\u003csub\u003e6\u003c/sub\u003e) and such reduction in the hematological features was very high for the groups fed diet D\u003csub\u003e5\u003c/sub\u003e-D\u003csub\u003e6\u003c/sub\u003e where 40 and 50% of the dietary fishmeal was replaced by \u003cem\u003eAzolla\u003c/em\u003e meal indicating that these diets become deficient in some essential micronutrients when fishmeal was replaced beyond 40%.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eCarcass composition and hematological parameters of fingerling \u003cem\u003eCyprinus carpio communis\u003c/em\u003e fed fishmeal replaced diets \u003csup\u003ea,b\u003c/sup\u003e\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"8\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colspan=\"8\" nameend=\"c8\" namest=\"c1\"\u003e \u003cp\u003eVarying levels of \u003cem\u003eAzolla\u003c/em\u003e (mg kg\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e dry diet)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eInitial\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eD\u003csub\u003e1\u003c/sub\u003e (0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eD\u003csub\u003e2\u003c/sub\u003e (10)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eD\u003csub\u003e3\u003c/sub\u003e (20)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eD\u003csub\u003e4\u003c/sub\u003e (30)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eD\u003csub\u003e5\u003c/sub\u003e (40)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003eD\u003csub\u003e6\u003c/sub\u003e (50)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMoisture (%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e78.61\u0026plusmn;5.21\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e75.47\u0026plusmn;3.4\u003csup\u003ee\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e76.73\u0026plusmn;2.7\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e76.15\u0026plusmn;2.4\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e77.51\u0026plusmn;2.9\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e78.68\u0026plusmn;2.6\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e79.12\u0026plusmn;4.6\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCrude protein(%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e13.92\u0026plusmn;0.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e15.96\u0026plusmn;0.4\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e15.64\u0026plusmn;0.1\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e15.24\u0026plusmn;0.4\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e14.92\u0026plusmn;0.4\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e14.38\u0026plusmn;0.2\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e13.81\u0026plusmn;0.6\u003csup\u003ee\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCrude fat (%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3.98\u0026plusmn; 0.14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e4.91\u0026plusmn; 0.06\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e4.47\u0026plusmn; 0.08\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e3.85\u0026plusmn; 0.04\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e3.38\u0026plusmn;0.09\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e3.21\u0026plusmn;0.08\u003csup\u003ee\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e2.97\u0026plusmn; 0.05\u003csup\u003ef\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCrude ash (%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2.68\u0026plusmn; 0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2.41\u0026plusmn;0.02\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2.42\u0026plusmn;0.05\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e2.36\u0026plusmn; 0.07\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e2.38\u0026plusmn;0.03\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e2.40\u0026plusmn;0.02\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e2.37\u0026plusmn; 0.02\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHemoglobin (g dL\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e8.51\u0026plusmn;0.13\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e7.64\u0026plusmn;0.16\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e7.12\u0026plusmn;0.12\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e6.52\u0026plusmn;0.25\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e5.71\u0026plusmn;0.11\u003csup\u003ee\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e5.17\u0026plusmn;0.17\u003csup\u003ef\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHematocrit value (%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e34.81\u0026plusmn;0.23\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e31.17\u0026plusmn;0.39\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e27.66\u0026plusmn;0.17\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e23.85\u0026plusmn;0.15\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e19.23\u0026plusmn;0.19\u003csup\u003ee\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e16.11\u0026plusmn;0.13\u003csup\u003ef\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRBC (\u0026times; 10\u003csup\u003e6\u003c/sup\u003e mm\u003csup\u003e\u0026minus;\u0026thinsp;3\u003c/sup\u003e)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3.68\u0026plusmn;0.13\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e3.09\u0026plusmn;0.15\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e2.81\u0026plusmn;0.17\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e2.56\u0026plusmn;0.15\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e2.13\u0026plusmn;0.18\u003csup\u003ee\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e1.59\u0026plusmn;0.17\u003csup\u003ef\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"8\"\u003e\u003csup\u003ea\u003c/sup\u003eMean values of 3 replicates\u0026plusmn;SEM.\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"8\"\u003e\u003csup\u003eb\u003c/sup\u003eMean values sharing the same superscripts in the same row are insignificantly different (P\u0026thinsp;\u0026gt;\u0026thinsp;0.05).\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec13\" class=\"Section2\"\u003e \u003ch2\u003eSerum biochemical parameters\u003c/h2\u003e \u003cp\u003eSerum biochemical parameters of fish fed with varying levels of aquatic macrophyte are presented in Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e. Dietary fishmeal replacement with \u003cem\u003eAzolla\u003c/em\u003e meal significantly impacted serum biochemical parameters which decreased significantly (P\u0026thinsp;\u0026lt;\u0026thinsp;0.05) in groups fed diets with higher inclusion of fishmeal (D\u003csub\u003e3\u003c/sub\u003e-D\u003csub\u003e6\u003c/sub\u003e), except for AST, ALT, glucose and cholesterol content which showed a significant (P\u0026thinsp;\u0026lt;\u0026thinsp;0.05) increase with incremental inclusion of \u003cem\u003eAzolla\u003c/em\u003e meal. Maximum albumin, globulin, calcium, phosphorus, sodium, potassium and total protein content was obtained in fish fed basal diet (D\u003csub\u003e0\u003c/sub\u003e) followed by D\u003csub\u003e2\u003c/sub\u003e (10%) inclusion of fishmeal indicating that replacement of fishmeal with \u003cem\u003eAzolla\u003c/em\u003e meal up to this ratio could be possible without affecting the fish growth.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab4\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eSerum biochemical parameters of fingerling \u003cem\u003eCyprinus carpio\u003c/em\u003e fed fishmeal replaced diets \u003csup\u003ea,b\u003c/sup\u003e\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"8\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colspan=\"6\" nameend=\"c7\" namest=\"c2\"\u003e \u003cp\u003eVarying levels of \u003cem\u003eAzolla\u003c/em\u003e (mg kg\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e dry diet)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eD\u003csub\u003e1\u003c/sub\u003e(0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eD\u003csub\u003e2\u003c/sub\u003e (10)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eD\u003csub\u003e3\u003c/sub\u003e (20)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eD\u003csub\u003e4\u003c/sub\u003e (30)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eD\u003csub\u003e5\u003c/sub\u003e (40)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003eD\u003csub\u003e6\u003c/sub\u003e (50)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eGlucose (mmol L\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e4.94\u0026plusmn;0.07\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e5.42\u0026plusmn;0.06\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e6.86\u0026plusmn;0.06\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e5.91\u0026plusmn;0.04\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e6.39\u0026plusmn;0.05\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e7.72\u0026plusmn;0.03\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eAlbumin (g L\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e13.98\u0026plusmn;0.52\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e12.78\u0026plusmn;0.41\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e11.14\u0026plusmn;0.56\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e10.64\u0026plusmn;0.48\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e9.63\u0026plusmn;0.63\u003csup\u003ee\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e9.06\u0026plusmn;0.47\u003csup\u003ee\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eGlobulin (g L\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e14.76\u0026plusmn;1.15\u003csup\u003ee\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e13.23\u0026plusmn;1.67\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e11.98\u0026plusmn;1.15\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e10.36\u0026plusmn;1.27\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e10.08\u0026plusmn;1.15\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e9.97\u0026plusmn;1.24\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eTotal protein (g L\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e26.89\u0026plusmn;1.46\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e24.63\u0026plusmn;1.51\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e21.91\u0026plusmn;1.32\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e20.06\u0026plusmn;1.41\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e18.71\u0026plusmn;1.28\u003csup\u003ee\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e17.64\u0026plusmn;1.37\u003csup\u003ef\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eAlanine aminotransferase (UL\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.87\u0026plusmn;0.07\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.91\u0026plusmn;0.05\u003csup\u003ebc\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.99\u0026plusmn;0.03\u003csup\u003ebc\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.07\u0026plusmn;0.04\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.13\u0026plusmn;0.06\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e1.17\u0026plusmn;0.07\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eAspartate aminotransferase (UL\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2.45\u0026thinsp;\u0026plusmn;\u0026thinsp;0.40\u003csup\u003ee\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e3.15\u0026thinsp;\u0026plusmn;\u0026thinsp;0.33\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e3.37\u0026thinsp;\u0026plusmn;\u0026thinsp;0.27\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e3.81\u0026thinsp;\u0026plusmn;\u0026thinsp;0.57\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e4.03\u0026thinsp;\u0026plusmn;\u0026thinsp;0.42\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e4.57\u0026thinsp;\u0026plusmn;\u0026thinsp;0.35\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eCalcium (mg dL\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.91\u0026plusmn;0.57\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.75\u0026plusmn;0.48\u003csup\u003ee\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.98\u0026plusmn;0.39\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e2.4\u0026plusmn;0.37\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e2.6\u0026plusmn;0.29\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e2.7\u0026plusmn;0.36\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eCholesterol (mmol L\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2.09\u0026plusmn;0.08\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2.34\u0026plusmn;0.06\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e2.58\u0026plusmn;0.07\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e2.72\u0026plusmn;0.09\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e2.79\u0026plusmn;0.05\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e2.86\u0026plusmn;0.07\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003ePhosphorus (mg dL\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.63\u0026plusmn;0.08\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.50\u0026plusmn;0.06\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.44\u0026plusmn;0.07\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.19\u0026plusmn;0.09\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.09\u0026plusmn;0.05\u003csup\u003ee\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e1.05\u0026plusmn;0.07\u003csup\u003ee\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003ePotassium (mmol L\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.58\u0026plusmn;0.07\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.42\u0026plusmn;0.05\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.28\u0026plusmn;0.03\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.10\u0026plusmn;0.05\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.90\u0026plusmn;0.06\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.77\u0026plusmn;0.04\u003csup\u003ee\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"8\"\u003e\u003csup\u003ea\u003c/sup\u003eMean values of 3 replicates\u0026plusmn;SEM.\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"8\"\u003e\u003csup\u003eb\u003c/sup\u003eMean values sharing the same superscripts in the same row are insignificantly different (P\u0026thinsp;\u0026gt;\u0026thinsp;0.05).\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e"},{"header":"Discussion","content":"\u003cp\u003eFor sustainable aquaculture practice, use of cost-effective and alternate plant protein sources in replacement studies is still on its infancy. The probable causes of considering non-conventional plant feedstuffs not suitable as feed ingredient for fishes include meager nutritive potential in terms of poor digestibility and presence of anti-nutritional factors (Li et al. \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). Cruz-Velasquez (2014) pointed out that aquatic macrophytes are imperative nutritional sources for herbivorous-omnivorous fishes and could replace 25% of formulated diets and 50% of commercial feeds without any detrimental effects on growth and body composition of fishes. The aquatic fern \u003cem\u003eAzolla\u003c/em\u003e proliferate at high rates in freshwater bodies have modest protein content (19\u0026ndash;31%) depending on their sources, strain and growing media (Fasakin et al. \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2001\u003c/span\u003e). Water fern has gained attention as natural sources of food for fish species, either directly in fresh forms or in combination with other feedstuffs. Our results reveal the inadequacy of total replacement of fish meal with water fern at high levels of incorporation in practical diets for \u003cem\u003eC. carpio communis\u003c/em\u003e fingerlings. The results of the present study are in conformity with the findings of El-Sayed, (1992) and Almazan et al. (\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e1986\u003c/span\u003e) who reported that growth of fish decreases with increasing levels of added aquatic plant ingredients. Fasakin et al. (\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e1999\u003c/span\u003e) also reported similar growth retardation and poor FCR when increased levels of dried water fern and duckweed meals were incorporated in the Nile tilapia diets. In the present study, it was evident that \u003cem\u003eAzolla\u003c/em\u003e could be a good substitute for fish meal, where the replacement up to 10% of fish meal has no effect on growth performance of \u003cem\u003eC. carpio communis\u003c/em\u003e fingerlings. Earlier reports suggested that inclusion of 25% \u003cem\u003eAzolla microphylla\u003c/em\u003e and \u003cem\u003eA. pinnata\u003c/em\u003e mixture in the diet of \u003cem\u003eLabeo rohita\u003c/em\u003e significantly improved the growth and SGR (Datta \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2011\u003c/span\u003e). Similarly in our study, incorporation of fish meal along with \u003cem\u003eAzolla\u003c/em\u003e meal satisfied the nutritional requirement of \u003cem\u003eC. carpio\u003c/em\u003e fingerlings. However, reduced feed efficiency at higher inclusion of \u003cem\u003eAzolla\u003c/em\u003e meal (D\u003csub\u003e5\u003c/sub\u003e (40) and D\u003csub\u003e6\u003c/sub\u003e (50)) may be because of presence of anti-nutritional factors (ANFs) and high dietary fiber content which in turn reduced the growth performance (Kamali-Sanzighi et al. \u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Magouz et al. \u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). It has been reported that higher dietary \u003cem\u003eAzolla\u003c/em\u003e inclusion reduces the weight gain by increasing both the metabolic rate and energy expenditure, while decreasing the digestibility of ingredients, due to its ANF content (Ahmed et al. \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2017\u003c/span\u003e; Mohammadi et al. \u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e2018\u003c/span\u003e; Magouz et al. \u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e2020\u003c/span\u003e).Nevertheless, the study of chemical and amino acid composition of water fern basically displayed the nutritional characteristics of these ingredients as fish feed (Chakrabarti et al. \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e2018\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003cem\u003eAzolla\u003c/em\u003e can be used as a potential replacer of expensive FM in herbivorous species because of complementary digestive enzyme profile and the presence of ω-6 fatty acids from \u003cem\u003eAzolla\u003c/em\u003e diet (Mosha \u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). In addition, fish fed \u003cem\u003eAzolla\u003c/em\u003e supplemented diet resulted in improved protein conversion, mobilization and utilization of glycogenic amino acids. However, excess \u003cem\u003eAzolla\u003c/em\u003e supplementation reduced fish growth and conversion efficiency, possibly due to the presence of high fiber content and low protein digestibility (Mosha \u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). \u003cem\u003eO. niloticus\u003c/em\u003e and \u003cem\u003eT. mozambicuss\u003c/em\u003e exhibited better growth performance in a range of 20\u0026ndash;42% of dietary \u003cem\u003eAzolla\u003c/em\u003e inclusion (Fiogbe et al. \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2004\u003c/span\u003e, Ebrahim et al. \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e2007\u003c/span\u003e). Besides these, some reports propose positive growth even at 50% inclusion of \u003cem\u003eAzolla\u003c/em\u003e meal (Almazan et al. \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e1986\u003c/span\u003e; El-Sayeed 1992). Nevertheless, despite being a microphagous omnivore fish, poor growth performance was reported in \u003cem\u003eTilapia zillii\u003c/em\u003e fed \u003cem\u003eAzolla\u003c/em\u003e meal (Abdel-Halim et al. \u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1998\u003c/span\u003e). Similarly, \u003cem\u003eO. niloticus\u003c/em\u003e and \u003cem\u003eT. rendalli\u003c/em\u003e exhibited reduced growth pattern when fed \u003cem\u003eAzolla\u003c/em\u003e incorporated diets (Micha et al. \u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e1988\u003c/span\u003e). Literature suggests that various grades of \u003cem\u003eAzolla\u003c/em\u003e levels have been incorporated in species belonging to family \u003cem\u003eCyprinidae\u003c/em\u003e. Improved feed utilization and growth rate was reported in rohu fed 10\u0026ndash;50% \u003cem\u003eAzolla\u003c/em\u003e meal in the diet (Tuladhar \u003cspan citationid=\"CR65\" class=\"CitationRef\"\u003e2003\u003c/span\u003e; Datta \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2011\u003c/span\u003e; Panigrahi 2014). While Orange fin labeo (Gangadhar et al. \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e2017\u003c/span\u003e), Catla (Umalatha 2018), silver carp and mrigal (Tuladhar \u003cspan citationid=\"CR65\" class=\"CitationRef\"\u003e2003\u003c/span\u003e) and grass carp (Majhi et al. \u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e2006\u003c/span\u003e) reported to have a range between 10\u0026ndash;25% \u003cem\u003eAzolla\u003c/em\u003e inclusion level in the diet (Kumari 2017). Our results from the current investigation are in line with the findings reported on above fish species with the inclusion levels of \u003cem\u003eAzolla\u003c/em\u003e meal up to 10% that resulted in best growth performance of the candidate fish species.\u003c/p\u003e \u003cp\u003eCarcass composition is altered by numerous endogeneous and exogenous factors that often indicate quality of cultured fish species (Khan and Khan \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e2020a\u003c/span\u003e,\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003eb\u003c/span\u003e). Both protein and ash are controlled endogenously while as lipid values are altered by both of these factors. It is widely acknowledged that carcass protein and fat are the main attributes of interest and contribute to the suitability of fish meat for processing and storage. Further it has been suggested that feeding nutrient deficient diets results in impaired protein accretion and surplus fat deposition in liver, fillet or peritoneal cavity. In the present study, body protein decreased with higher inclusion of fishmeal with \u003cem\u003eAzolla\u003c/em\u003e meal. This could be due to poor quality of plant protein compared to that of fish meal. However, the diets containing higher level of \u003cem\u003eAzolla\u003c/em\u003e weed inclusion resulted in significantly high carcass moisture and lower lipid content. The high moisture and low lipid content of \u003cem\u003eC. carpio communis\u003c/em\u003e fingerlings fed \u003cem\u003eAzolla\u003c/em\u003e incorporated diets may be credited to the elevated plant protein derived from aquatic weed. Similarly, tilapia and common carp fed plant protein diets resulted in improved carcass moisture and reduced lipid content (Hassan and Edwards \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e1992\u003c/span\u003e; Hossain and Jauncey \u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e1989\u003c/span\u003e). Datta (\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2011\u003c/span\u003e) reported that incorporation of \u003cem\u003eAzolla\u003c/em\u003e resulted in reduction of body lipid content but their body protein content remained unaffected among all the treatments. Micha et al. (\u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e1988\u003c/span\u003e) reported the similar trend of body protein and lipid content in \u003cem\u003eO. niloticus\u003c/em\u003e and \u003cem\u003eT. rendalli\u003c/em\u003e fed \u003cem\u003eAzolla\u003c/em\u003e supplemented diets in both the species.\u003c/p\u003e \u003cp\u003eOne of the effective tools for understanding the physiological and pathological changes in fishes is ample knowledge of blood parameters. The blood parameters offer information on health status of a fish like metabolic disorders, deficiencies and chronic stress in response to changes related to diet, quality of water and ill health (Denson et al. \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e2003\u003c/span\u003e; Banaee et al. \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2008\u003c/span\u003e; Khan and Khan \u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e2021\u003c/span\u003ea,b,c,). Hematological parameters such as Hb, Hct%, RBCs showed an insignificant relationship with increase in dietary \u003cem\u003eAzolla\u003c/em\u003e meal up to 10% (D\u003csub\u003e2\u003c/sub\u003e) beyond which significant decline was apparent. The highest values of these data were observed in D\u003csub\u003e1\u003c/sub\u003e followed by D\u003csub\u003e2\u003c/sub\u003e group. It is well known fact that Hb, Hct and RBC count are related to the non-specific immune function, where high Hb and RBC count can be taken as an indication of good health. Earlier studies on fish fed diet rich in plant protein sources exhibited reduced blood Hct and Hb (Pham et al. 2008; Lim and Lee \u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e2008\u003c/span\u003e). It is a well-known fact that hematological parameters are drastically affected by imbalanced diets, presence of anti-nutritional factors and environmental conditions (Garrido et al. \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e1990\u003c/span\u003e; Lim and Lee, \u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e2009\u003c/span\u003e). The results of current research work determined that a reduction in haematological values corresponds with the poor growth performance, especially in the D\u003csub\u003e4\u003c/sub\u003e (30%) -D\u003csub\u003e6\u003c/sub\u003e (50%) group.\u003c/p\u003e \u003cp\u003eSerum biochemical parameters are one of the useful indices for monitoring the health and physiological condition of fishes and are widely been used to determine the effects of feed additives on fish health (Fanouraki et al. \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2007\u003c/span\u003e; Shi et al. \u003cspan citationid=\"CR59\" class=\"CitationRef\"\u003e2006\u003c/span\u003e; Hoseinifar et al. \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e2010\u003c/span\u003e; Parrino et al. \u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e2018\u003c/span\u003e; Fazio et al. \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). These serum parameters can prove a pivotal tool for detecting illness and response to therapy. In aquaculture it is necessary to evaluate the serum biochemical parameters which enable us to know the normal physiological condition of the fish under study (Patrichi et al. 2011). Proteins are among the leading sources of energy in fishes and play a significant role in the blood glucose level in fishes (Shweta et al. 2012). In our study dietary inclusion of \u003cem\u003eAzolla\u003c/em\u003e meal decreased total serum protein of \u003cem\u003eC. carpio communis\u003c/em\u003e fingerlings which may be due to reduced rate of protein synthesis in fish fed higher levels of dietary \u003cem\u003eAzolla\u003c/em\u003e meal. Potassium, phosphorous, calcium etc, are some of the commonly analyzed blood electrolytes. Calcium is a component of bones and also regulates nerve and muscle functions in fish. Potassium ion is majorly found in intercellular fluid and possesses an important function of carbohydrate metabolism in nerve fibers of animals including fish. Alteration in potassium concentration affects heart function and causes neurotoxic damage to the central nervous system of the fish (Adediji 2010). Potassium level in our study shows significant variation. Similarly significant variation was also found in calcium and phosphorous activity of fingerling \u003cem\u003eC. carpio communis\u003c/em\u003e when compared with the group of fish fed basal diet (D\u003csub\u003e0\u003c/sub\u003e). On the other hand cholesterol shows the reverse trend means it starts to increase on higher inclusion of dietary \u003cem\u003eAzolla\u003c/em\u003e. Alanine aminotransferase (ALT) and aspartate aminotransferase (AST) are enzymes found in the different tissues of liver, kidneys, heart, skeletal muscle, pancreas, spleen, erythrocyte, brain and gills (Hadi et al. \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e2009\u003c/span\u003e). These blood plasma enzymes are calculated clinically as biomarkers for liver health. On injury these enzymes are being released directly into blood hence provide information about liver dysfunction. In our study serum ALT and AST increased significantly as FM was replaced with \u003cem\u003eAzolla\u003c/em\u003e meal. It indicates that \u003cem\u003eAzolla\u003c/em\u003e replacement of FM had negative impact on the liver. However, Xu et al. (\u003cspan citationid=\"CR67\" class=\"CitationRef\"\u003e2018\u003c/span\u003e) found that serum ALT and cholesterol levels were significantly lower than that of control group in \u003cem\u003eC. carpio\u003c/em\u003e fed FM replaced diets. Serum glucose reflected the status of normal metabolism in the body and the healthy degree of liver function (Zhao \u003cspan citationid=\"CR68\" class=\"CitationRef\"\u003e2006\u003c/span\u003e; Xu et al. \u003cspan citationid=\"CR67\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). Serum glucose levels were also found to increase with higher inclusion levels of dietary \u003cem\u003eAzolla\u003c/em\u003e among all the groups. Our results suggested that fish was not able to maintain normal glucose metabolism at higher inclusion levels and causing burden to the liver metabolism which was also supported by the higher values of AST and ALT levels.\u003c/p\u003e"},{"header":"Conclusions","content":"\u003cp\u003eThe present study demonstrated acceptable nutritional value of \u003cem\u003eAzolla\u003c/em\u003e meal as an ingredient in the diets for \u003cem\u003eC. carpio communis\u003c/em\u003e fingerling. The aquatic macrophyte seems to be a good replacer of fishmeal in practical diets for this fish at 10% inclusion level without any adverse effect on growth, conversion, hematological and serum biochemical parameters of \u003cem\u003eC. carpio communis\u003c/em\u003e. \u003cem\u003eAzolla\u003c/em\u003e meal could also be well incorporated to make eco-friendly, cost-effective practical feeds for mass production of fingerling \u003cem\u003eC. carpio communis\u003c/em\u003e through its intensification.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAcknowledgements\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors are grateful to the Head, Department of Zoology,University of Kashmir, Hazratbal, Srinagar, India, for providing the laboratory facilities.\u0026nbsp;We are also pleased to Department of Fisheries, Seed Hatchery, Manasbal, Ganderbal (Jammu \u0026amp; Kashmir) for providing carp fingerlings to carry out this experiment.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor contribution\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eImtiaz Ahmed:\u0026nbsp;Provided expert assistance and is a scientific advisor for designing this study. He also contributed to the drafting of the paper;\u0026nbsp;Younis Mohd Khan; The second author, Younis Mohd Khan conducted the feeding trial and substantially contributed to the writing of the manuscript, statistical analysis and interpretation of the data;\u0026nbsp;Anzar Lateef: The third author, Anzar Lateef contributed to the writing of the manuscript and interpretation of the data;\u0026nbsp;Aamir Majeed: The fourth author, Aamir Majeed contributed to the writing of the manuscript and interpretation of the data;\u0026nbsp;Manzoor A. Shah; The fifth author, Manzoor A. Shah contributed for the identification and collection of aquatic macrophytes.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study was supported by Ministry of Environment, Forest \u0026amp; Climate Change (MoEF \u0026amp; CC) under its program National Mission on Himalayan Studies (NMHS), G.B. Pant National Institute of Himalayan Environment (NIHE), Kosi-Katarmal, Almora in its order No. GBPNI/NMHS-2020-21/MG/TSP/39\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData availability statement\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe data used in this is including within the manuscript.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthical statement\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eDuring the present research work, all applicable international, national, and/or institutional guidelines for the care and use of animals were followed. All the protocols used have been approved by Animal Ethical Committee registered under R. No. 801/Go/RE/S/2003/CPCSEA.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interest\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare that they have no competing of interests.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n \u003cli\u003eAbdel-Halim AMM, Shanab SMM, Abdel-Tawwab M (1998) Evaluation of \u003cem\u003eAzolla pinnata\u003c/em\u003e meal as an ingredient in diets for Tilapia Zillii fry. Egypt J Agric Res 76:1307-1316.\u003c/li\u003e\n \u003cli\u003eAbou Y, Fiogbe ED,\u0026nbsp; Micha JC (2007) A preliminary assessment of growth and production of Nile tilapia, \u003cem\u003eOreochromis niloticus\u003c/em\u003e L., fed \u003cem\u003eAzolla\u003c/em\u003e-based-diets in earthen ponds. J Appl Aquac 19:55-69. https://doi.org/10.1300/J028v19n04_03\u003c/li\u003e\n \u003cli\u003eAdedeji OB (2010) Acute effect of diazinon on blood plasma biochemistry in the African catfish (\u003cem\u003eClarias gariepinus\u003c/em\u003e). 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J Appl Aquac 11:83-92. https://doi.org/10.1300/J028v11n04_09\u003c/li\u003e\n \u003cli\u003eFasakin EA, Balogun AM, Fasuru BE (1999) Use of duckweed,\u0026nbsp;Spirodela polyrrhiza\u0026nbsp;L. Schleiden, as a protein feedstuff in practical diets for tilapia,\u0026nbsp;Oreochromis niloticus. L. Aquac Res. 30:313-318. https://doi.org/10.1046/j.1365-2109.1999.00318.x\u003c/li\u003e\n \u003cli\u003eFazio F, Saoca C, Ferrantelli V, Cammilleri G, Capillo G, Piccione G (2019) Relationship between arsenic accumulation in tissues and hematological parameters in mullet caught in Faro Lake: a preliminary study. Environ Sci Pollut Res. 26,\u0026nbsp;pages8821\u0026ndash;8827.\u0026nbsp;https://doi.org/10.1007/s11356-019-04343-7\u003c/li\u003e\n \u003cli\u003eFiogbe E, Micha J, Van Hove C (2004) Use of a natural aquatic fern,\u0026nbsp;Azolla microphylla, as a main component in food for the omnivorous-phytoplanktonophagous tilapia,\u0026nbsp;Oreochromis niloticus\u0026nbsp;(L.). 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J Entomol Zool Stud. 5:1116-1119.\u003c/li\u003e\n \u003cli\u003eLi XY, Zheng\u0026nbsp;SX, Ma XK, Cheng\u0026nbsp;KM, Wu GY\u0026nbsp;(2021)\u0026nbsp;Use of alternative protein sources for fishmeal replacement in the diet of largemouth bass (\u003cem\u003eMicropterus salmoides\u003c/em\u003e). Part I: effects of poultry by-product meal and soybean meal on growth, feed utilization, and health. Amino Acids. 53:33-47. https://doi.org/10.1007/s00726-020-02920-6\u003c/li\u003e\n \u003cli\u003eLim SJ, Lee KJ (2009) Partial replacement of fish meal by cottonseed meal and soybean meal with iron and phytase supplementation for parrot fish \u003cem\u003eOplegnathus fasciatus\u003c/em\u003e. Aquaculture. 290:283\u0026ndash;289. https://doi.org/10.1016/j.aquaculture.2009.02.018\u003c/li\u003e\n \u003cli\u003eLim SJ, Lee KJ (2008) Supplementation iron and phosphorus increase dietary inclusion of cottonseed and soybean meal in olive flounder (\u003cem\u003eParalichthys olivaceus\u003c/em\u003e). Aquac Nutr 14:423\u0026ndash;430. https://doi.org/10.1111/j.1365-2095.2007.00546.x\u003c/li\u003e\n \u003cli\u003eMagouz FI, Dawood MAO, Salem MFI, Mohamed AAI (2020) The effects of fish feed supplemented with Azolla meal on the growth performance, digestive enzyme activity, and health condition of genetically-improved farmed tilapia (\u003cem\u003eOreochromis niloticus\u003c/em\u003e). Ann Anim Sci. \u0026nbsp;https://doi.org/10.2478/aoas-2020-0016.\u003c/li\u003e\n \u003cli\u003eMaity J, Patra BC (2008) Effect of replacement of fishmeal by \u003cem\u003eAzolla\u003c/em\u003e leaf meal on growth, food utilization, pancreatic protease activity and RNA/DNA ratio in the fingerlings of \u003cem\u003eLabeo rohita\u003c/em\u003e (Ham). Can J Pure Appl Sci. 2:323-333.\u003c/li\u003e\n \u003cli\u003eMajhi SK, Das A, Mandal BK (2006) Growth performance and production of organically cultured grass carp \u003cem\u003eCtenopharyngodon idella\u003c/em\u003e (Val.) Under Mid-Hill Conditions of Meghalaya; North Eastern India, Turkish J Fish Aquat Sci. 6:105-108.\u003c/li\u003e\n \u003cli\u003eMicha JC, Antoine T, Wery P, Van Hove C (1988) Growth, ingestion capacity, comparative appetency and biochemical composition of \u003cem\u003eOreochromis niloticus\u003c/em\u003e and \u003cem\u003eTilapia rendalli\u003c/em\u003e fed with Azolla. pp. 347\u0026ndash;355. In: Second International Symposium on Tilapia in Aquaculture, ICLARM Conference Proceedings 15.\u0026nbsp;\u003c/li\u003e\n \u003cli\u003eMosha SS (2018) A review on significance of \u003cem\u003eAzolla\u003c/em\u003e meal as a protein plant source in finfish culture. J. Aquac. Res. Develop., 9, 1-7. Doi:10.4172/2155-9546.1000544.\u003c/li\u003e\n \u003cli\u003eMohammadi M, Soltani M, Siahpoosh A, \u0026nbsp;Shekarabi \u0026nbsp; SPH, Mehrgan \u0026nbsp; MS, \u0026nbsp; Lymber \u0026nbsp; A (2018) \u0026nbsp;Effect of date palm (\u003cem\u003ePhoenix \u0026nbsp;dactylifera\u003c/em\u003e) \u0026nbsp;seed \u0026nbsp; extract \u0026nbsp;as \u0026nbsp; a dietary supplementation on growth performance immunological haematological biochemical parameters of common carp. Aquacult Res. 49:2903\u0026ndash;2912.\u0026nbsp;https://doi.org/10.1111/are.13760\u003c/li\u003e\n \u003cli\u003eMosha SS (2018) A review on significance of \u003cem\u003eAzolla\u003c/em\u003e meal as a protein plant source in finfish culture. J Aquac Res Develop. 9:1-7. Doi:10.4172/2155-9546.1000544.\u003c/li\u003e\n \u003cli\u003eOdegard J, Olesen I, Dixon P, Jeney Z, Nielsen HM, Way K, Gjerde B (2010) Genetic analysis of common carp (\u003cem\u003eCyprinus carpio\u003c/em\u003e) strains. II: Resistance to koi herpesvirus and \u003cem\u003eAeromonas hydrophila\u003c/em\u003e and their relationship with pond survival. Aquaculture. 304:7-13. https://doi.org/10.1016/j.aquaculture.2010.03.017\u003c/li\u003e\n \u003cli\u003ePanigrahi S, Choudhury D, Sahoo JK, Das SS, Rath RK (2014) Effect of dietary supplementation of Azolla on growth and survibility of \u003cem\u003eLabeo rohita\u003c/em\u003e fingerlings. Asian J Anim Sci. 9: 33\u0026ndash;37.\u003c/li\u003e\n \u003cli\u003e\u0026nbsp;Parrino V, Cappello T, Costa G, Cannav\u0026agrave; C, Sanfilippo M, Fazio F, Fasulo S (2018) Comparative study of haematology of two teleost fish (\u003cem\u003eMugil cephalus\u003c/em\u003e and \u003cem\u003eCarassius auratus\u003c/em\u003e) from different environments and feeding habits. 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Fish Sci.\u0026nbsp; 73:760\u0026ndash;769.\u0026nbsp;https://doi.org/10.1111/j.1444-2906.2007.01394.x\u003c/li\u003e\n \u003cli\u003ePillai KP, Premalatha S, Rajamony S (2002) \u0026ldquo;Azolla\u0026mdash;A Sustainable Feed Substitute for Livestock\u0026rdquo;, LEISA INDIA, Vol. 4, pp. 15-17.\u003c/li\u003e\n \u003cli\u003eSheeno TP, Sahu NP (2006) Use of Fresh water Aquatic plants as a substitute of fishmeal in the diet of \u003cem\u003eLabeo rohita\u003c/em\u003e fry. J Fish Aquat Sci. 1:126\u0026ndash;135.\u003c/li\u003e\n \u003cli\u003eShi X, Li D, Zhuang P, Nie F, Long L (2006) Comparative blood\u0026nbsp;biochemistry of Amur sturgeon (\u003cem\u003eAcipenser schrenckii\u003c/em\u003e) and Chinese\u0026nbsp;sturgeon (\u003cem\u003eAcipenser sinensis\u003c/em\u003e). 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(In Chinese).\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"C. carpio. Azolla cristata, Growth, Replacement, Protein retention, Serum hematological parameters, ","lastPublishedDoi":"10.21203/rs.3.rs-1767137/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-1767137/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eA 12-week growth experiment was conducted to evaluate the suitability of \u003cem\u003eAzolla cristata\u003c/em\u003e as fish meal substitute for fingerling \u003cem\u003eCyprinus carpio var Communis\u003c/em\u003e. Six iso-nitrogenous and isocaloric (16.17 kJ g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e GE) diets were formulated to contain 42% crude protein and each treatment had three replicates with a mean initial weight of 3.4\u0026thinsp;\u0026plusmn;\u0026thinsp;0.2 g. \u003cem\u003eA. cristata\u003c/em\u003e in gradation of 0, 10, 20, 30, 40 and 50% were fed in order to check possible replacement of fish meal. No significant (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026gt;\u0026thinsp;0.05) differences in growth performance of fish fed on diets containing up to 10% inclusion and the control were seen. However, further increase in \u003cem\u003eAzolla\u003c/em\u003e meal resulted in progressively reduced growth performance of fish in terms of live weight gain (LWG), specific growth rate (SGR), feed conversion ratio (FCR) and protein retention efficiency (PRE). All hematological parameters had a linear declining trend as the proportion of \u003cem\u003eAzolla\u003c/em\u003e meal in the diet was increased. Protein content was found significantly (P\u0026thinsp;\u0026lt;\u0026thinsp;0.05) reduced in the fish fed higher inclusion of \u003cem\u003eAzolla\u003c/em\u003e meal. Serum biochemical parameters were also found to reduce with increasing inclusion of \u003cem\u003eAzolla\u003c/em\u003e meal, except for glucose, cholesterol, alanine aminotransferase (ALT) and aspartate aminotransferase (AST) which showed higher concentration with increasing inclusion of \u003cem\u003eAzolla\u003c/em\u003e meal. Based on the above results, it is suggested that 10% \u003cem\u003eAzolla\u003c/em\u003e meal can be added as a replacement of fishmeal in practical diets for \u003cem\u003eC. carpio communis\u003c/em\u003e, which would be helpful in reducing the cost of the feed as well as the appropriate use of aquatic macrophytes.\u003c/p\u003e","manuscriptTitle":"Partial replacement of fishmeal by Azolla cristata in diets for fingerling common carp, Cyprinus carpio var. communis","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2022-06-23 17:05:30","doi":"10.21203/rs.3.rs-1767137/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"a902e941-084f-4566-8a7c-a446a33cfb57","owner":[],"postedDate":"June 23rd, 2022","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2022-06-29T07:44:13+00:00","versionOfRecord":[],"versionCreatedAt":"2022-06-23 17:05:30","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-1767137","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-1767137","identity":"rs-1767137","version":["v1"]},"buildId":"_2-kVJe1T_tPrBINL-cwx","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

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