INTRODUCTION
⌅Due to the large variation in food availability in the natural environment, fish can suffer food deprivation, which causes variation in growth rates (Chappaz et al., 1996; Cavalli et al., 1997; Motta et al., 2021). In aquaculture, food deprivation can occur as a consequence of attempts to save on labor costs (Oh et al., 2013), environmental concerns (Cho et al., 2006) or unpredictable events, e.g. storms; wind (Dempster et al., 2002; Morro et al., 2021). Therefore, understanding the effect of fasting on fish would be of great interest to producers (Tunçelli & Pirhonen, 2021; Le François et al., 2023).
Ending food deprivation (resumption of feeding) can lead animals to present a phenomenon called compensatory growth. According to Ali et al. (2003), this consists of a phase of accelerated growth, until normal conditions are restored. This characteristic has already been observed in several animals, including fish.
The characteristics of compensatory growth are species-dependent, i.e. each species of fish exhibits behavior differing from the others (Tian & Qin, 2003). According to Ali et al. (2003), several studies have shown that compensatory growth can occur consequent to total or partial deprivation of food. This growth can occur in different ways: a) full compensation – the animals deprived of feeding manage to reach the same size as the control group after resumption of feeding; b) partial compensation – the animals are unable to reach the same size, but show accelerated growth rates or better feed conversion rates; or c) overcompensation – the animals reach a larger size than those fed normally.
The cobia (Rachycentron canadum) was first described in 1766 by Linnaeus as Gasterosteus canadus and gained its current name after several taxonomic revisions. It is a pelagic coastal fish species that can be found in tropical and subtropical waters around the world, except in the eastern Pacific Ocean (Shaffer & Nakamura, 1989). It is a fast-moving carnivorous fish (Ditty & Shaw, 1992; Fraser & Davies, 2009) that feeds on crustaceans, fish and squid (Franks et al., 1996).
It presents rapid growth of 4 to 6 kg per year, with excellent feed conversion rates, and larviculture is highly successful (Chou et al., 2001). Moreover, it has good acceptance in the market. These features make this fish an excellent species for cultivation. However, despite the enormous potential of this fish, many studies still need to be carried out. One of the issues still to be resolved formed the objective of this study, which was to evaluate fasting as a possible way to obtain accelerated growth during cultivation and, to analyze the effect of fasting on the development of juveniles regarding periods of food deprivation resulting from unpredictable events.
MATERIAL AND METHODS
⌅Fish specimens (both males and females) were obtained from a specialized laboratory and had an average weight of approximately 15 g (Table 1). After undergoing a one-day acclimation process, the fish were homogenously distributed into the experimental units. In total, six treatments were performed, each with three replications, thus totaling eighteen experimental units. Each experimental unit received six fish and therefore a total of 108 fish were used. The experimental units were distributed in an entirely randomized design.
The experimental system involved closed continuous recirculation with mechanical and biological filtration. A centrifugal pump (BOYU spf-18000; 450 W) ensured a water flow of 110 L h-1 in each experimental unit. The 18 experimental units (glass aquariums of dimensions 50 × 50 × 50 cm and capacity 125 liters) were siphoned daily and the water parameters of dissolved oxygen (mg L-1), temperature (ºC), ammonia (mg L-1) and pH were monitored twice a day throughout the experimental period. These water quality parameters remained unchanged throughout the experimental period, with the following values: dissolved oxygen (5.61 ± 0.38 mg L-1), temperature (26.7 ± 1.4 ºC), ammonia (0.12 ± 0.09 mg L-1) and pH (7.83 ± 0.22).
The trial period was 45 days. The different protocols used for organizing the feeding were as follows: C, fish fed to satiety twice a day (09:00 and 16:00) throughout the experimental period; U1, fish fed to satiety twice a day (09:00 and 16:00) on alternate days during the 45 days of the experiment (total of 23 days of feeding); U2, fish fed to satiety twice daily (09: 00 and 16:00) for five consecutive days, followed by two days of food deprivation, cyclically during the 45 days of the experiment; U5, fish subjected to food deprivation for five days and then fed to satiety twice a day (09:00 and 16:00) for 40 days; (U10) fish subjected to food deprivation for ten days and then fed to satiety twice a day (09:00 and 16:00) for 35 days; and U15, fish subjected to food deprivation for fifteen days and then fed to satiety twice a day (09:00 and 16:00) for 30 days.
During the experimental period, the fish were fed with extruded feed (48.3 g/100g of crude protein; 13.33 g/100g of ether extract; and 11.8 g/100g of moisture). The diet was formulated with the following ingredients: flattened rice (20.0 g/100g), poultry byproducts (20.0 g/100g), soy protein concentrate (16.94 g/100g), corn (15.5 g/100g), meat meal (10.0 g/100g), soy protein (6.1 g/100g), fish meal (5.0 g/100g), marine fish oil (4.46 g/100g), vitamin premix (1.0 g/100g) and mineral premix (1.0 g/100g).
To control feed consumption, for each repetition a vessel was used that was initially weighed with its volume full of extruded feed. Daily (after the second feeding of the day), each vessel was weighed to control feed consumption. The vessels were stored in a refrigerator to maintain the quality of the extruded feed.
At the beginning of the experiment, all the fish were anesthetized with eugenol and then weighed on an analytical balance with an accuracy of 0.001 g and measured with the aid of a caliper. At that time, the livers and intestines of ten juveniles were collected for initial analyses of these organs.
After 15, 30 and 45 days of the experiment, all the fish were weighed and measured. At each weighing, two fish from each experimental unit were necropsied to obtain the weight of the viscera and liver. These were firstly anesthetized and were then sacrificed by means of sectioning of the spinal cord immediately posterior to the occipital region.
The growth and feed utilization parameters were calculated as follows: weight gain WG (g) = Wt – W0; weight-specific growth rate SGRW (% day-1) = (lnWt − lnW0) × 100/t; length-specific growth rate SGRL (% day-1) = (lnLt − lnL0) × 100/t; feed conversion efficiency FCE (%) = 100*(wet weight gain (g)/FI (g)); daily feed consumption FID (FI/days of feeding); viscerosomatic index VSI (%) = (visceral weight (g)/body weight (g)) × 100; and hepatosomatic index HSI (%) = (liver weight (g)/body weight (g)) × 100; where W0 and Wt are the initial and final body weights of the fish, t (days) is the duration of the experiment; L0 and Lt (cm) are the initial and final lengths of the fish; FI is the dry feed intake (g).
The weight-length ratio of the fish was expressed in terms of the equation proposed by Pauly (1984): W = aLb. The linear transformation proposed by Zar (1984) was then used, following the equation: Log W = b log L + log a; where “W” is the weight (g) of the fish, “L” is the total length (cm) of the fish, “a” is the exponent describing the rate of change of weight with length (intercept) and “b” is the weight per unit length (slope).
To obtain data on fish wellbeing, the condition factor (CF) and the liver-weight ratio (LWR) were calculated (Gomiero & Braga, 2005; Omogoriola et al., 2011). The condition factor is represented by the letter “K” when fish are measured and weighed, following the equation proposed by Pauly (1984): K = 100W/Lb; where K is the condition factor, W is the weight (g) of the fish, L is the total length (cm) of the fish and b is the value obtained from the length-weight equation. For the CF, this value “K” can basically be interpreted as “higher values represent better welfare condition”; and for LWR, “higher values show that the weight of the liver is decreasing at a higher rate than the body of the animal”.
The analysis was performed using the theory of generalized linear models for the variables SGRW, SGRL, FCE, VSI, and HSI. The normal, lognormal, exponential and gamma distributions were evaluated using the GLIMMIX procedure of the Statistical Analysis System software (SAS System, Inc., Cary, NC, USA) (Stokes et al., 1995). The distribution was chosen using the Akaike criterion (Sugiura, 1978). After choosing the most plausible distribution, the Tukey test was applied when significance was observed (5%).
For the characteristics of weight, weight gain, length, FI, and FID, the analysis was performed using the theory of mixed linear models, using the PROC MIXED procedure of the SAS software (SAS System, Inc., Cary, NC, USA) (Stokes et al., 1995), and the Tukey test was applied when significance was observed (5%).
The livers were fixed in 10% buffered formalin for one week. They were then dehydrated in an increasing series of ethyl alcohol, clarified with xylol and, lastly, embedded in paraffin, following the routine histopathological techniques (Motta et al., 2021). Serial sections of 5 μm in thickness were obtained with the aid of a microtome and these were then subjected to routine dewaxing, hydration and staining techniques (Humason, 1972). Subsequently, the histological slides were analyzed under an optical microscope (Leica DM500) and were photographed using a camera coupled to this microscope. The degree of vacuolization was quantified by counting hepatocytes, per maximum area visible when looking through the microscope eyepiece at each microscope field of view (100X), per histological slide, using the Image J software (Schneider et al., 2012). The relationship observed related to the increase in the volume of hepatocytes when accumulation of energy reserves occurred, and the consequent decrease in the number of hepatocytes possibly observed in one field of view of the microscope, as adapted from Motta et al. (2021).