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Fillet Yield, Dress-out Percentage and Phenotypic Relationship Between Different Traits of Grey Mullet (liza Parsia, Hamilton 1822)

Muhammad Yousuf Ali
Fisheries and Marine Resource Technology Discipline, Khulna University, Khulna – 9208, Bangladesh

Foyez Ibn Shams
Fisheries and Marine Resource Technology Discipline, Khulna University, Khulna – 9208, Bangladesh

Al-Imran
Fisheries and Marine Resource Technology Discipline, Khulna University, Khulna – 9208, Bangladesh

Momotaz Khanom
Fisheries and Marine Resource Technology Discipline, Khulna University, Khulna – 9208, Bangladesh

Md. Golam Sarower
Fisheries and Marine Resource Technology Discipline, Khulna University, Khulna – 9208, Bangladesh

Abstract/ Executive Summary:

Phenotypic relationships between different traits of Grey mullet (Liza parsia) were estimated from a sample of 100 individuals having size range 10-15 cm in length and 17-62 g in weight. Fillet percentage and dressout percentage were also calculated. Data were recorded and analyzed for total weight (TW), trunk weight (TrW) standard length (L), body depth (BD), dress-out weight (DW) and fillet weight (FW). The mean condition factor (K) of the samples was computed as 1.1±0.13 suggesting that the specimens were in good condition having normal shape. The average fillet yield and dress-out yield were calculated as 60.73(±4.67) % and 64.70(±4.64)% respectively. There was no significant variation (p>0.05) in condition factor, fillet % and dress-out % between male and female. All the true traits were strongly and positively correlated (r>0.8) with one another. The correlations of fillet % and dress-out % with other traits were moderately low (r<0.5), because these two were calculated traits which are quite independent of the size and weight of the fish. Both bi-variate and multi-variate regression analysis were done to estimate the regression coefficient between the traits and to find out the best fitted model. The value of regression coefficient of logTW as a function of logL was calculated as 2.74.. Bivariate linear regression (arithmetic) analysis showed that the regression coefficient of total weight on L, BD, TrW and DW were estimated as 7.6, 30.16, 1.19 and 1.35 respectively. The arithmetic regression coefficient of fillet weight on L, TW, BD, TrW and DW were 4.93, 0.66, 20.04, 0.79 and 0.94 respectively. In case of multiple regression analysis of TW, FW and DW, the best fitted model gave the equations as TW= - 64.4 + 3.76 L+ 18.1 BD, FW = - 43.9 + 2.14 L + 13.2 BD and DW=-47.3+2.30L+14.1 BD respectively.

Keywords: Grey mullet, Liza parsia, Dress out %, Fillet weight

Location: Fish Biology laboratory of Fisheries and Marine Resource Technology Discipline, Khulna University

Start Date: 00-00-2011

End Date: 00-00-2011

Program Area: Animal Health and Management

Commodity: Marine fish

Objectives:

To know the phenotypic relationship between some economically important traits of Liza parsia and
To find out the best-fitted model that express the relationships between the traits with high accuracy.

Methodology:

Sample collection: The study was conducted in April of 2011. A total of 100 fishes were collected as sample. Samples of L. parsia were collected directly from the different local market of Khulna region. After collection, samples were brought immediately to the Fish Biology laboratory of Fisheries and Marine Resource Technology Discipline, Khulna University. The samples were kept as fresh condition without icing or freezing. Sex identification: Fish were identified by using the identification key of Soljan. Sexes of all fishes of the sample were determined by striping the bally of fish or observing the internal sex organ. In case of external sex determination for the reason of striping egg for female and milt for male were come out while in internal sex determination by observing testis and ovary it was determined whether the fish was male or female. Out of total size 100, 50 were identified as male and 50 as female. Data collection and measurement: Data were recorded on the traits Total weight (TW), Standard length (SL), Body depth (BD), Head length (HL), Head weight (HW), Dress-out weight (DW) and Fillet weight (FW). Dress-out percentage, fillet percentage and coefficient of condition (K) were also calculated. Standard length (SL) was measured as the length from the tip of the snout to the posterior end of the last vertebra or to the posterior end of the midlateral portion of the hypural plate. Simply, this measurement excludes the length of the caudal fin. Dress-out percentage was calculated as:(the weight of the fish without head, viscera, and skin/divided by total weight) x100 % Fillet percentage was calculated as:{the weight of muscle (removed with an sharp knife from the vertebra of the dressed fish)/divided by total weight} x100 % The coefficient of condition or condition factor of the fish was measured. In the laboratory important phenotypic data were collected using different tools such as cm scale, slide calipers, electric weight machine (Model: AND GF-300), scissors, knife, forceps etc. Length measurements were taken using a slide calipers and a ruler for all individuals. Weight was measured with 2 decimals precision by electric weight machine of Fish Nutrition Laboratory of Fisheries and Marine Resource Technology Discipline. Then it was dissected by sharp knife and scissor and weighted. Fish were gutted in order to remove and measure the dressing weight. The body depth was collected by using slide calipers. Then the weight of the fish was measured by electric weight machine of Fish Nutrition Laboratory of Fisheries and Marine Resource Technology Discipline. Then it was dissected by sharp knife and scissor and weighted. Data analysis and model setting: All the data were analyzed by using statistical software Minitab-15. Other softwares SAS 9.1 and SPSS 12.0 were used to check the consistency of the results.

Source of Information: International Journal of Engineering and Applied Sciences July 2013. Vol. 4, No. 1, 49-58. ISSN2305-8269

Article Link (Online Journal):

Funding Source:

Budget:

Total Budget (Tk.) :

Achievement/Findings:

The mean condition factor (K) of the samples was computed as 1.1±0.13 suggesting that the specimens were in good condition having normal shape. The average fillet yield and dress-out yield were calculated as 60.73(±4.67) % and 64.70(±4.64)% respectively. There was no significant variation (p>0.05) in condition factor, fillet % and dress-out % between male and female. All the true traits were strongly and positively correlated (r>0.8) with one another. The correlations of fillet % and dress-out % with other traits were moderately low (r<0.5), because these two were calculated traits which are quite independent of the size and weight of the fish. Both bi-variate and multi-variate regression analysis were done to estimate the regression coefficient between the traits and to find out the best fitted model. The value of regression coefficient of logTW as a function of logL was calculated as 2.74.. Bivariate linear regression (arithmetic) analysis showed that the regression coefficient of total weight on L, BD, TrW and DW were estimated as 7.6, 30.16, 1.19 and 1.35 respectively. The arithmetic regression coefficient of fillet weight on L, TW, BD, TrW and DW were 4.93, 0.66, 20.04, 0.79 and 0.94 respectively. In case of multiple regression analysis of TW, FW and DW, the best fitted model gave the equations as TW= - 64.4 + 3.76 L+ 18.1 BD, FW = - 43.9 + 2.14 L + 13.2 BD and DW=-47.3+2.30L+14.1 BD respectively.

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