Int. J. Aquat. Biol. (2021) 9(2): 105-114 ISSN: 2322-5270; P-ISSN: 2383-0956 Journal homepage: www.ij-aquaticbiology.com © 2021 Iranian Society of Ichthyology Original Article Life history parameters of Yellowfin hind, Cephalopholis hemistiktos (Rüppell, 1830) in the coast of United Arab Emirates Elsayed Farrag*1, Walid Aly2, Ahmed El-Zaabi1 1Marine Environment Research Department, Ministry of Climate Change and Environment, United Arab Emirates. 2National Institute of Oceanography and Fisheries, NIOF, Egypt. s Article history: Received 5 January 2021 Accepted 20 Februry 2021 Available online 2 5 April 2021 Keywords: Age Growth Mortality Recruitment Exploitation rate Abstract: The life history parameters, including age, growth, mortality and recruitment of Yellowfin hind, Cephalopholis hemistiktos were studied in monthly collected samples from January to December 2018. Otolith was used for age determination. Mean size by the end of each year of life was estimated and showed that, the highest annual increment was identified at the end of the first year of life then gradually decreased with increase of fish age. The estimated von Bertalanffy growth parameters were L∞=43.51 cm, K=0.26 per year, t0=-0.74 year. Asymptotic weight W∞ was estimated as 1375.23 g. The length-weight relationship was W=0.0126 L3.0746 with R2=0.94 for both sexes. The instantaneous rates of total mortality and natural mortality were estimated as 0.77 and 0.49 per year, respectively. The gonado-somatic index showed increasing from April to August with a peak in June for both sexes. Size at first capture (Lc) was estimated as 24.30 cm, which was smaller than the mean size at first sexual maturity 25.31 cm. The value of fishing mortality (F=0.28y-1) was slightly higher than the optimum (Fopt=0.25y-1) and smaller than the limit (Flimit=0.33y-1) biological reference point, indicating that species was exploited within sustainable limit. Estimated parameters and the relative yield-per-recruit analysis showed that this species is not over-exploited. Introduction The fisheries of the United Arab Emirates are typically multi-species in nature with over 100 species being exploited (Grandcourt et al., 2010). They provide a source of income, employment and recreation contributing to the cultural heritage and food security of the inhabitants of the littoral states (Grandcourt, 2008). Groupers are of great importance in the marine ecosystems of all of the subtropical and tropical seas, and they play a basic role in the food chain, since they are one of the largest carnivores of the ecosystems (Grandcourt et al., 2009; Erisman et al., 2010; Craig et al., 2011). They are important to both commercial and recreational fisheries worldwide (Heemstra and Randall, 1999). Grouper populations have been depleted by overfishing, destruction of both juvenile and adult habitats, ineffective management plans for their fisheries or lack of any management policies (Sadovy et al., 2013). Grouper ecology is well-known *Correspondence: Elsayed Farrag DOI: https://doi.org/10.22034/ijab.v9i2.1089 E-mail: eefarrag@moccae.gov.ae in general, but detailed information on biological characteristics is scarce for many species. Cephalopholis, Bloch & Schneider is the most common genus of the family Serranidae in the aquarium trade and some species of this genus feature colorful bodies (Abied et al., 2014). The genus comprises 22 species (FAO, 2002), of these, C. hemistiktos is one of the most abundant species that have a disjunctive distribution, being known with certainty only from the northern part of the Red Sea to the Coast of the Pakistan (Randall, 1995). Cephalopholis hemistiktos is primarily caught using traps, and to a lesser degree hand lines (Hartmann, 2013). In the Emirates fisheries, C. hemistiktos has a minor components of the demersal species and represents 3.30% of the secondary commercial species caught by traps (Farrag et al., 2020). Due to the scarcity of published information on C. hemistiktos, this study was carried out to shed the light on the its 106 Farrag et al./ Life history parameters of Yellowfin hind life history and provide its status assessments as one of the subordinate species in the United Arab Emirates fisheries. Materials and Methods Study area and samples collection: Monthly size frequency data and biological samples were collected from four locations along the Coast of the United Arab Emirates namely Ras Al-Kheima, Umm Alqwain, Ajman and Sharjah from January to December 2018 (Fig. 1). Fishes were mainly captured by traps and selected random from landings. Age and growth parameters: Total length was recorded to the nearest mm by measuring board. Whole wet weight was measured with an electronic balance and recorded to the nearest g. The sex was determined by macroscopic examination of the gonad, which was removed and weighed to 0.1 g with electronic balance. Sagittal otoliths were extracted, cleaned, dried, weighed to 0.1 mg. One of each pair of sagittae embedded in epoxy resin and transverse sections through the nucleus were obtained using a twin blade saw. Sections were mounted on glass slides and examined using a low power microscope and transmitted light. Two different observers recorded the number of alternating opaque and translucent bands. The counts of the two observers were then compared, and any that differed by more than one zone were removed from further analysis. Parameters of the length-weight relationship were estimated by fitting the power function to length and weight data according to the equation W=a*Lb (Ricker, 1975), where W is the wet weight, a is a constant, L is the total length and b is close to 3.0 for species with isometric growth. In order to verify if calculated b was significantly different from 3, the Students t-test was employed (Froese, 2006). Fatness of fish was described by calculating the coefficient of condition (Fulton, 1904) from the formula K=100*W/L3 where W is the total weight in g and L is the total length cm. Growth was investigated by fitting the von Bertalanffy growth function (von Bertalanffy, 1938) as follows: Lt=L∞*1-exp-K (t-to), where Lt is length at age t, L∞ is the asymptotic length, k is the growth coefficient and to is the hypothetical age at which length is equal to 0. The parameters of von Bertalanffy were estimated according to Ford (1933) and Walford (1946), and age at length 0 was calculated using empirical formula (Pauly, 1984). Growth performance index Ø=LogK+2logL∞ and Ø=K+2/3logW∞ for length and weight, respectively was calculated according to Pauly and Munro (1984). The potential longevity Tmax was estimated based on the formula of Beverton (1992) as Tmax=3/K. Reproductive biology: Gonado-somatic index (GSI) was calculated using the following equation according to Anderson and Gutreuter (1983): GSI=100* Wt/WG, where Wt is the gonad weight and WG is the gutted weight g. Sex ratio and its percentage was estimated as the number of females to the number of males in the catch, the significant differences from the theoretical ratio (1:1) were tested by Chi-squared test X2. The mean size (Lm) at first sexual maturity was estimated by fitting the logistic function to the proportion of mature fish in 10.0 mm size categories (King, 1995). The corresponding age at first sexual maturity was estimated based on Froese and Binohlan (2000). Juvenile retention was calculated as the proportion of fish in landings that were below the mean size at first maturity. Fisheries assessment and Per-recruit analysis: The annual instantaneous rate of total mortality (Z) was determined using methods of length converted catch curve (Pauly, 1983) and linearized catch curve Figure 1. Map showing the sampling sites. 107 Int. J. Aquat. Biol. (2021) 9(2): 105-114 (Ricker, 1975) and the mean rate of the total mortality was used for further analysis. Backwards extrapolation of length converted catch curve were used to determine probability of capture (Lc) and the corresponding age at first capture (tc) was estimated based on Beverton and Holt (1957). The mean annual natural mortality (M) was calculated by three different methods according to Rikhter and Efanov (1976), Pauly (1980) and Hoening (1983). Fishing mortality was estimated from the equation F=Z–M. The biological reference point BRP was estimated by the formula of Patterson (1992) as Fopt=0.5*M and Flimit=2/3*M. The exploitation rate E was calculated as the proportion of the fishing mortality relative to total mortality E=F/Z (Gulland, 1971). The exploitation rate producing maximum yield Emax, the exploitation rate at which the marginal increase of Y'/R is 10% of its virgin stock E0.1 and the exploitation rate which the stock is reduced to 50% of its unexploited biomass (E0.5) were estimated. The relative yield per recruit Y’/R and relative biomass per recruit B’/R were calculated using the model of (Beverton and Holt, 1966) and modified by Pauly et al. (1996). Results Age and growth: A total of 1504 length frequency samples were collected ranging 16.0-42.0 cm and the length groups of 25, 26, 27 and 28 cm were the most frequent in the catch while the terminal length groups of 16, 17 and 41 cm were the least frequent ones (Fig. 2). A total of 578 C. hemistiktos were used to estimate the length weight relationship (511 females and 67 males). The relationship between fish total length and total weight of male, female and sexes combined shows in Table 1. The t-test analysis showed a non- significant difference (t