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The Scientific World Journal
Volume 2014, Article ID 541278, 6 pages
Research Article

Seasonality Influence on Biochemical and Hematological Indicators of Stress and Growth of Pirarucu (Arapaima gigas), an Amazonian Air-Breathing Fish

1Universidade Federal de Pernambuco (UFPE), Centro de Ciências Biológicas, Departamento de Bioquímica, Rua Professor Nelson Chaves s/n, Cidade Universitária, 50670-901 Recife, PE, Brazil
2Universidade Federal Rural de Pernambuco (UFRPE), Departamento de Engenharia de Pesca, Rua Dom Manoel de Medeiros, s/n, Dois Irmãos, 52171-900 Recife, PE, Brazil

Received 13 August 2013; Accepted 14 November 2013; Published 21 January 2014

Academic Editors: C. Cameselle, K. F. Chang, and A. D’Annibale

Copyright © 2014 Rosiely Felix Bezerra et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Environmental factors such as seasonal cycles are the main chronic stress cause in fish increasing incidence of disease and mortality and affecting productive performance. Arapaima gigas (pirarucu) is an Amazonian air-breathing and largest freshwater fish with scales in the world. The captivity development of pirarucu is expanding since it can fatten up over 1 kg per month reaching 10 kg body mass in the first year of fattening. This work was conducted in three periods (April to July 2010, August to November 2010, and December 2010 to March 2011) defined according to rainfall and medium temperatures. Seasonality effect analysis was performed on biochemical (lectin activity, lactate dehydrogenase, and alkaline phosphatase activities) and hematological (total count of red blood cells, hematocrit, hemoglobin, and hematimetric Wintrobe indexes) stress indicators, as well as on growth and wellbeing degree expressed by pirarucu condition factor developed in captivity. All biochemical and hematological stress indicators showed seasonal variations. However, the fish growth was allometrically positive; condition factor high values indicated good state of healthiness in cultivation. These results reinforce the robust feature of pirarucu and represent a starting point for understanding stress physiology and environmental changes during cultivation enabling identification and prevention of fish adverse health conditions.

1. Introduction

Pirarucu, Arapaima gigas (Shinz 1822), is the largest Amazonian and freshwater fish with scales in the world. It is considered an air-breathing fish and constitutes a species with great potential for farming due to interesting features such as excellent taste of meat and high growth rate with extraordinary weight development [1]; in captivity the fish can fatten up over 1 kg per month reaching 10 kg body mass in the first year of fattening [2]. Pirarucu has been a target of fishermen, due to its occurrence in lakes and isolated environments, which allows a disorderly intense exploration depreciating their natural stocks [3]. The expansion of the creation of pirarucu in captivity around the world, for commercial exploitation, was too an alternative to reduce the risk of extinction.

The increase of fish farming has developed a growing interest by producers in respect to the search for solutions to avoid the losses caused by mortality and production problems. Stress caused by common farming practices (acute stress) as well as environmental factors (chronic stress) such as seasonal changes increases the incidence of disease and mortality affecting the productive performance of animals [4]. The seasonal cycles can affect fishes in several biological activities, such as behavior, nutrition, metabolism, immunity, and reproduction [5]. The immunocompetence is often affected by seasonal variations and, in general, biochemical, hematological, and immunological parameters such as levels of various blood cells, hematocrit percentages [6], lysozyme activity [7], respiratory burst levels of head-kidney macrophages [8], and lectin activity [9]. The biochemical and hematological parameters are useful tools to determine the characteristics of fish blood in different situations such as stress or normality. The relative robustness or degree of wellbeing from a fish is expressed by the coefficient of condition or condition factor (CF), considered basically as the quotient between observed mass and theoretical mass estimated through the length-mass relationship. Variations in fish’s coefficient of condition primarily reflect the state of sexual maturity and degree of nourishment; they provide relevant information about physiological and health characteristics of individual or population, which are very important in captive fish to their management and maintenance [10].

The aim of this work was to analyze the effects of seasonality (temperature and rainfall) on biochemical (lectin activity; lactate dehydrogenase; and alkaline phosphatase activities) and hematological parameters (hematocrit, hemoglobin, and hematimetric indexes of Wintrobe) that can be used as physiological indicators of stress. Also the influence of seasonality on growth of pirarucu developed in captivity as well as the state of wellbeing of the fish was analyzed. This is a first study that relates chronic stress with biochemical and hematological indicators of seasonal stress as well as health and growth in A. gigas fish farming.

2. Material and Methods

2.1. Weather Data Obtention: Rainfall and Temperature

Weather data was provided by the Instituto Nacional de Meteorologia (INMET, Brazil), collected from weather station 82900 (08°03′S 34°57′W) Recife, PE, Brazil, according to international standards of the World Meteorological Organization. Medium rainfall (mm3) as well as medium temperature (°C) was calculated to each period, respectively: 9.99 mm3 and 26.14°C to period 1—P1 (April to July 2010); 2.74 mm3 and 25.46°C to period 2—P2 (August to November 2010); 5.8 mm3 and 26.94°C to period 3—P3 (December 2010 to March 2011) (Figure 1).

Figure 1: Medium rainfall and medium temperature for each period. Period 1 (April–July, 2010); Period 2 (August–November, 2010); Period 3 (December 2010 to March 2011). Data were obtained from Instituto Nacional de Meteorologia (INMET, Brazil). (*) Significant difference in rainfall among the periods ().
2.2. Obtaining Fish Blood

Fish were provided by the Estação de Aquicultura Continental Prof. Johei Koike, Departamento de Pesca da Universidade Federal Rural de Pernambuco (UFRPE) and developed in earth pond. The juvenile animals () were anesthetized by hypothermia on ice; immediately after blood collection procedure the fishes returned to earth pond. Blood was obtained from caudal vein with syringes 5 mL, 21 G, 23 G, or 25 G needles (BD Precision Glide, PN, Brazil), according to fish size. To obtain whole blood tubes containing EDTA 1.8 mg/mL as anticoagulant (Vacuette, Greiner bio-one, Brazil) were used. Serum was collected from tubes without anticoagulant; the blood was centrifuged at 3000 ×g for 10 min at 4°C.

2.3. Lectin Activity and Protein Evaluation

Serum lectin activity (LA) was evaluated as specific hemagglutinating activity in microtiter plates with 96 wells [11]. Specific hemagglutinating activity was defined as the ratio between titer and protein concentration (mg/mL) and expressed with hemagglutinating activity units for protein milligrams (HAU/mg). Protein concentrations were determined by Bradford [12].

2.4. Lactate Dehydrogenase Activity

Lactate dehydrogenase activities (LDH) were determined following the oxidation of NADH (340 nm, 25°C). The reaction mixture contained a total volume of 1 mL, 50 mM imidazol, 1 mM KCN buffer pH 7.4 at 25°C, 0.13 mM of NADH, and different concentrations of pyruvate for LDH saturation plots. One unit of enzyme activity is defined as the amount of enzyme using 1 μmol of substrate per min (340 nm, 25°C). Each value represents the mean of three measurements.

2.5. Alkaline Phosphatase Activity

The serum alkaline phosphatase activity (AP) was performed with modifications [13]. Briefly, enzyme activity was measured using p-nitrophenyl phosphate (pNPP) as substrate (5.0 mM) in 1 M diethanolamine (pH 9.8) containing 1 mM MgCl2 (405 nm, 25°C, 1 min).

2.6. Total Count of Red Blood Cells

To determine the total count of red blood cells (RBC), a 1 in 1000 dilution was made in 0.02 M phosphate saline buffer (PBS, pH 7.3). Counts were carried out using a Neubauer haemocytometer (INLAB, Brazil) and expressed as cell/mm3 [14].

2.7. Hematocrit, Hemoglobin, and Hematimetric Indexes of Wintrobe

The hemoglobin (Hb) levels were obtained using a kit for determination of hemoglobin in whole blood (Doles, Brazil) following the manufacturer’s instructions. The hematocrit (Htc) was determined by the microhematocrit technique and result was expressed as percentage of erythrocytes compared to whole blood. Hematimetric indexes of Wintrobe were calculated as follows: MCV (mean corpuscular volume) = Htc/RBC × 10 (fl); MCH (mean corpuscular hemoglobin) = Hb/RBC × 10 (pg); and MCHC (mean corpuscular hemoglobin concentration) = Hb/Htc × 100 (g/dL).

2.8. Condition Factor

Mass (g) and length (cm) were used to determine CF and constant regression (), which reveals the rate of growth in mass. Empirical point ratios (mass/length) for each period were submitted to regression analysis and adjusted by power function, , where is the dependent variable, is the independent variable, “” is the CF, and “” is the constant associated with the type of growth in mass of animals. These constants were estimated by linear regression of the transformed equation: , where = mass (g), = total length (cm), = constant, and = growth exponent or constant regression [10].

2.9. Statistical Analysis

Data shown represent the mean values of each parameter in the specified periods. Statistical significance of data between groups (mean ± s.e.) was determined with analysis of variance (ANOVA) and Tukey test using OriginPro 8.0 (OrginLab Corporation, USA). A value of was considered significant.

3. Results

Significant difference was observed to serum lectin in the periods (); activity increased in P2 (28.45 HAU/mg) while in P1 (8.26 HAU/mg) and P3 (12.8 HAU/mg) values were lower, indicating some seasonal influence on LA (Figure 2(a)). The activity of the serum enzyme LDH was significantly higher in P3 (444.0 U/L) than in P1 (184.0 U/L) and P2 (115.0 U/L); in addition, there was a greater decrease in LDH activity in P2 than in P1 (Figure 2(b)). Serum AP activity in the studied periods showed a gradual increase (5.83 U/L P1, 13.0 U/L P2, and 18.0 U/L P3) and was significantly different from one period to another (Figure 2(b)).

Figure 2: Variations in serum of A. gigas in Period 1 (9.99 mm3, 26.14°C), Period 2 (2.74 mm3, 25.46°C), and Period 3 (5.8 mm3, 26.94°C) to lectin activity (specific hemagglutinating activity) and serum protein concentration (a); LDH: lactate dehydrogenase activity and AP: alkaline phosphatase activity (b). (*) Significant ().

RBC (/mm3 P1, /mm3 P2, and /mm3 P3), Hb levels (10.6 g/dL P1, 8.55 g/dL P2, and 9.7 g/dL P3), and Htc percentages (24.6% P1, 18.75% P2, and 27.9% P3) revealed values decreasing in P2; however this decrease was significant to Hb and Htc and not to RBC (Figure 3(a)). MCV showed seasonal variation with values significantly lower in P2 (198.4 fl P1, 164.4 fl P2, and 188.5 fl P3); no significant difference was showed between the other periods. MCH decreased gradually from P1 to P3 (85.5 pg P1, 75.05 pg P2, and 65.5 pg P3). MCHC (43.08 g/dL P1, 45.6 g/dL P2, and 34.75 g/dL P3) was significantly lower in P3, while P1 to P2 did not reveal significant difference (Figure 3(b)).

Figure 3: Variations in serum of A. gigas in Period 1 (9.99 mm3, 26.14°C), Period 2 (2.74 mm3, 25.46°C), and Period 3 (5.8 mm3, 26.94°C) to RBC: red blood cell counts, Hb: hemoglobin, and Htc: hematocrit (a); hematimetric indexes of Wintrobe—MVC, MCH, and MCHC (b). (*) Significant ().

The constant values of linear regression “” obtained in P1 (), P2 (), and P3 () revealed a positive allometrically growth to pirarucu; this can be observed by a progressive increase in body mass in grams ( P1, P2, and P3, mean values per period) throughout the periods (Figure 4(a)). The values of the constant linear regression “” may vary from 2.50 to 3.50 [15]. This wide variation of “” is a function of biotic and abiotic factors; when growth is isometric, is positive allometric, and is negative allometric. Isometric growth () suggests an increase in mass and length at the same rate which is theoretically ideal for fish, especially in cultivation. CF average showed high values, in P1, in P2, and in P3; progressive increase in fish length (cm) over the periods was observed ( P1, P2, and P3, mean values per period) (Figure 4(b)).

Figure 4: Variations in mass and estimated values for the regression constant “”, rate of growth in mass (a); variations in length and condition factor (CF), (b) to A. gigas in Period 1 (9.99 mm3, 26.14°C), Period 2 (2.74 mm3, 25.46°C), and Period 3 (5.8 mm3, 26.94°C).

4. Discussion

Lectins are proteins or glycoproteins involved in innate immunity and are therefore considered as the first line of immune defense of fish [16]. These proteins have been found in serum, mucus skin, and eggs of several fish species [17, 18].

The seasonal variation found for A. gigas LA in P2 can be displayed in response to increased concentrations of specific potential pathogens in the environment due to lower rainfall and lowering temperature. Some pathogens have higher occurrence in winter, although the presence of pathogens generally is higher with increasing temperature, in summer [19]. Stress situations increased the levels of lectin; in this case it can function as an acute phase protein [20]. Seasonal variation too was found in activity of lectin present in serum of Colossoma macropomum, showing higher activity in summer and lower activity in winter [9].

The enzyme lactate dehydrogenase (LDH, EC: has been approached in several studies with fish since it is directly linked to the glycolytic pathway and anaerobic metabolism, responsible for environmental stress responses. In this work the levels of LDH in pirarucu serum were significantly lower in P2 () that demonstrates the relation with environmental change processes, such as changes in oxygen levels, even for air-breathing fish. The highest LDH levels were found in P3 showing that, probably, the enzyme activity in pirarucu is more sensitive to variation on temperature than on rainfall. Alkaline phosphatase (EC; AP) has been approached as a potential indicator of stress in the epidermal mucus of Atlantic salmon (Salmo salar); high levels of AP were observed in the mucosa of Atlantic salmon infected with the ectoparasite Lepeophtheirus salmon [21]. However, AP activity in pirarucu could be related with the fish growth. Human serum AP may provide an index of bone formation rate and probably plays a role in the mineralization of newly formed bone [22].

The seasonal variation observed in the RBC, Hb, and Htc in pirarucu may be due to a compensatory effect between rainfall and temperature. Thus, with more oxygen available in water, fewer red blood cells are needed to carry oxygen around the fish body; consequently, the hematocrit and amount of hemoglobin available are lower [23]. Similar results were obtained for RBC of Oncorhynchus mykiss [23], however with higher rates, probably due to higher seasonal variations in temperature experienced in the northern hemisphere, as well as the type of A. gigas breathing. Hematocrit values for O. mykiss were low in the summer (higher temperatures) and high in winter (lower temperatures) [24] demonstrating the differences in the physiological response to environmental stimuli into distinct species. Decrease in MCV in P2 is strongly related to low hematocrit percentage at this period indicating the possible development of anemia in response to seasonal variation, a chronic stress situation. The low Htc levels exhibit hemoconcentration as a help to cope with the stress related to oxygen demand, corroborating with the results obtained by Gomes [25]. Lower levels of dissolved oxygen should not be detrimental to the creation of pirarucu, especially juveniles, which during its development should provide breathing air, due to a change in its swim bladder [26]. This may be explained since A. gigas is considered an obligatory air-breathing fish; however, 10% of its breath still depends on the oxygen dissolved in water [24].

The type of growth observed for pirarucu was allometric positive () indicating a greater increase in mass than in length. Growth-type isometric was observed to A. gigas in semi-intensive fish farming in central Amazonia [27]. Studies suggest that allometry should be used to characterize the different growth strategies of fish associated with ecological, behavioral and physiological characteristics [28]. CF is an index widely used in the bioecology of fish; it reflects the physiological status of the animal conditioned to interaction of biotic and abiotic factors [29]. The values of CF, in this work, did not show seasonal variation; however, the values were high indicating a good state of fish healthiness in cultivation. Furthermore, the progressive increase in CF having the highest value in P3 may be an indicator of onset gonadal development in A. gigas since it can also be used as an indicator of sexual maturation [10].

5. Conclusions

Lectin activity decreases in period of lower medium rainfall and temperature. LDH activity is more sensitive to changes in temperature than rainfall. AP could be related to bone growth of fish since length (cm), body mass (g), and enzyme activity increased progressively. Hb, Htc, and RBC decreased in response to dissolved oxygen in water and reflect changes in hematimetric indexes of Wintrobe. Pirarucu growth was allometrically positive; good healthiness in cultivation was indicated by CF.

Regulation of seasonal effects in fish has not yet been satisfactorily elucidated but surely constitutes a complex defense mechanism in these animals. A. gigas physiological information under stress caused by environmental factors, beside expanding the biological knowledge of the species, may also be useful in developing better techniques to increase the success of cultivation and improve fish production in different periods of the year.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.


Authors express their gratitude to the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) for research grants, postdoctoral support (EVMMC), and fellowship (LCBBC). They are also deeply grateful to Maria Barbosa Reis da Silva for technical assistance. The Estação de Aqüicultura Continental Prof. Johei Koike, Departamento de Pesca da Universidade Federal Rural de Pernambuco (UFRPE) is acknowledged for fish availability; also, the meteorological data from the Instituto Nacional de Meteorologia (INMET, Brazil) is acknowledged.


  1. E. A. Ono, R. Roubach, and M. F. Pereira, “Pirarucu production—advances in Central Amazon, Brazil,” Global Aquaculture Advocate, vol. 6, pp. 44–46, 2003. View at Google Scholar
  2. F. H. Dos Santos Fogaça, E. G. De Oliveira, S. E. Q. Carvalho, and J. F. De Seixas Santos, “Yield and composition of pirarucu fillet in different weight classes,” Acta Scientiarum, vol. 33, no. 1, pp. 95–99, 2011. View at Publisher · View at Google Scholar · View at Scopus
  3. E. G. Oliveira, A. B. Pinheiro, V. Q. Oliveira et al., “Effects of stocking density on the performance of juvenile pirarucu (Arapaima gigas) in cages,” Aquaculture, vol. 370-371, pp. 96–101, 2012. View at Google Scholar
  4. G. B. Skomal and J. W. Mandelman, “The physiological response to anthropogenic stressors in marine elasmobranch fishes: a review with a focus on the secondary response,” Comparative Biochemistry and Physiology, vol. 162, no. 2, pp. 146–155, 2012. View at Publisher · View at Google Scholar · View at Scopus
  5. R. F. Bezerra, M. C. F. Soares, A. J. G. Santos, E. V. MMaciel Carvalho, and L. C. B. B. Coelho, “Secondary indicators of seasonal stress in the amazonian pirarucu fish (Arapaima gigas),” in Advances in Environmental Research, J. A. Daniels, Ed., vol. 28, pp. 233–244, Nova Science Publishers, New York, NY, USA, 2013. View at Google Scholar
  6. F. Pascoli, G. S. Lanzano, E. Negrato et al., “Seasonal effects on hematological and innate immune parameters in sea bass Dicentrarchus labrax,” Fish and Shellfish Immunology, vol. 31, no. 6, pp. 1081–1087, 2011. View at Publisher · View at Google Scholar · View at Scopus
  7. T. J. Bowden, “Modulation of the immune system of fish by their environment,” Fish and Shellfish Immunology, vol. 25, no. 4, pp. 373–383, 2008. View at Publisher · View at Google Scholar · View at Scopus
  8. S. M. Reppert and D. R. Weaver, “Coordination of circadian timing in mammals,” Nature, vol. 418, no. 6901, pp. 935–941, 2002. View at Publisher · View at Google Scholar · View at Scopus
  9. E. V. M. Maciel Carvalho, R. F. Bezerra, R. S. Bezerra et al., “Detection of the first lectin with antimicrobial activity present in Serum of the Amazonian Fish Tambaqui (Colossoma macropomum),” Fisheries Science, vol. 78, no. 4, pp. 866–879, 2012. View at Google Scholar
  10. A. A. Ayoade and A. O. O. Ikulala, “Length weight relationship, condition factor and stomach contents of Hemichromis bimaculatus, Sarotherodon melanotheron and Chromidotilapia guentheri (Perciformes: Cichlidae) in Eleiyele Lake, Southwestern Nigeria,” International Journal of Tropical Biology and Conservation, vol. 55, no. 3-4, pp. 969–977, 2007. View at Google Scholar · View at Scopus
  11. M. T. S. Correia and L. C. B. B. Coelho, “Purification of a glucose/mannose specific lectin, isoform 1, from seeds of Cratylia mollis mart. (Camaratu Bean),” Applied Biochemistry and Biotechnology, vol. 55, no. 3, pp. 261–273, 1995. View at Publisher · View at Google Scholar · View at Scopus
  12. M. M. Bradford, “A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein dye binding,” Analytical Biochemistry, vol. 72, no. 1-2, pp. 248–254, 1976. View at Google Scholar · View at Scopus
  13. G. N. Bowers Jr. and R. B. McComb, “A continuous spectrophotometric method for measuring the activity of serum alkaline phosphatase,” Clinical Chemistry, vol. 12, no. 2, pp. 70–89, 1966. View at Google Scholar · View at Scopus
  14. M. Saravanan, K. Prabhu Kumar, and M. Ramesh, “Haematological and biochemical responses of freshwater teleost fish Cyprinus carpio (Actinopterygii: Cypriniformes) during acute and chronic sublethal exposure to lindane,” Pesticide Biochemistry and Physiology, vol. 100, no. 3, pp. 206–211, 2011. View at Publisher · View at Google Scholar · View at Scopus
  15. S. Dirican and S. Çilek, “Condition factors of seven Cyprinid fish species from Çamligöze dam lake on central Anatolia, Turkey,” African Journal of Agricultural Research, vol. 7, no. 31, pp. 4460–4464, 2012. View at Google Scholar
  16. G. R. Vasta, M. Nita-Lazar, B. Giomarelli et al., “Structural and functional diversity of the lectin repertoire in teleost fish: relevance to innate and adaptive immunity,” Developmental and Comparative Immunology, vol. 35, no. 12, pp. 1388–1399, 2011. View at Publisher · View at Google Scholar · View at Scopus
  17. M. A. S. Lino, R. F. Bezerra, C. D. C. Silva, E. V. M. Maciel Carvalho, and L. C. B. B. Coelho, “Fish lectins: a brief review,” in Advances in Zoology Research, O. P. Jenkins, Ed., vol. 5, pp. 95–114, Nova Science Publishers, New York, NY, USA, 2013. View at Google Scholar
  18. A. F. S. Santos, T. H. Napoleão, R. F. Bezerra et al., “Strategies to obtain lectins from distinct sources,” in Advances in Medicine and Biology, L. V. Berhardt, Ed., vol. 63, pp. 33–60, Nova Science Publishers, New York, NY, USA, 2013. View at Google Scholar
  19. A. A. Khidr, A. E. Said, O. A. A. Samak, and S. E. A. Shere, “The impacts of ecological factors on prevalence, mean intensity and seasonal changes of the monogenean gill parasite, Microcotyloides sp., infesting theTerapon puta fish inhabiting coastal region of Mediterranean Sea at Damietta region,” The Journal Basic Applied Zoology, vol. 65, no. 2, pp. 109–115, 2012. View at Google Scholar
  20. B. Magnadottir, B. Gisladottir, S. S. Audunsdottir, B. T. Bragason, and S. Gudmundsdottir, “Humoral response in early stages of infection of cod (Gadus morhua L.) with atypical furunculosis,” Icelandic Agricultural Sciences, vol. 23, no. 1, pp. 23–35, 2010. View at Google Scholar · View at Scopus
  21. N. W. Ross, K. J. Firth, A. Wang, J. F. Burka, and S. C. Johnson, “Changes in hydrolytic enzyme activities of naive Atlantic salmon Salmo salar skin mucus due to infection with the salmon louse Lepeophtheirus salmonis and cortisol implantation,” Diseases of Aquatic Organisms, vol. 41, no. 1, pp. 43–51, 2000. View at Google Scholar · View at Scopus
  22. J. R. Farley, S. L. Hall, D. Ilacas et al., “Quantification of skeletal alkaline phosphatase in osteoporotic serum by wheat germ agglutinin precipitation, heat inactivation, and a two-site immunoradiometric assay,” Clinical Chemistry, vol. 40, no. 9, pp. 1749–1756, 1994. View at Google Scholar · View at Scopus
  23. J. Cerezo Valverde and B. García García, “Suitable dissolved oxygen levels for common octopus (Octopus vulgaris cuvier, 1797) at different weights and temperatures: analysis of respiratory behaviour,” Aquaculture, vol. 244, no. 1–4, pp. 303–314, 2005. View at Publisher · View at Google Scholar · View at Scopus
  24. P. R. Rauta, B. Nayak, and S. Da, “Immune system and immune responses in fish and their role in comparative immunity study: a model for higher organisms,” Immunology Letters, vol. 148, no. 1, pp. 23–33, 2012. View at Google Scholar
  25. L. D. C. Gomes, “Physiological responses of pirarucu (Arapaima gigas) to acute handling stress,” Acta Amazonica, vol. 37, no. 4, pp. 629–634, 2007. View at Google Scholar · View at Scopus
  26. G. V. F. Drumond, A. P. de Almeida Caixeiro, M. Tavares-Dias, J. L. Marcon, and E. G. Affonso, “Biochemical and hematological characteristics of the pirarucu Arapaima gigas Schinz, 1822 (Arapaimidae) from semi-intensive culture in the Amazon,” Acta Amazonica, vol. 40, no. 3, pp. 591–596, 2010. View at Google Scholar · View at Scopus
  27. M. Tavares-Dias, C. S. O. Araújo, A. L. S. Gomes, and S. M. S. Andrade, “Weight-length relationship and relative condition factor (Kn) of the pirarucu Arapaima gigas Schinz, 1822 (Arapaimidae) in semi-intensive culture in Amazonas State, Brazil,” Revista Brasileira De Zoociências, vol. 12, no. 1, pp. 59–65, 2010. View at Google Scholar
  28. S. Dutta, S. Maity, A. Chanda, A. Akhand, and S. Hazra, “Length weight relationship of four commercially important marine fishes of Northern Bay of Bengal, West Bengal, India,” Journal of Applied Environmental and Biological Science, vol. 2, no. 1, pp. 52–58, 2012. View at Google Scholar
  29. E. O. Ahmed, M. E. Ali, and A. A. Aziz, “Length-weight relationships and condition factors of six fish species in atbara river and khashm el-Girba Reservoir, Sudan,” International Journal Agricultural Science, vol. 3, no. 1, pp. 65–70, 2011. View at Google Scholar