Exposing Proximate Components of Some Selected Fishes Available in Coast of the Bay of Bengal
Exposing Proximate Components of Some Selected Fishes Available in Coast of the Bay of Bengal
Skeikh Mustafizur Rahman1*, Mst. Shirin Sharmin Khan1, Yousef Ahmed Alkhamis2,3, Roshmon Thomas Mathew2, Md. Moshiur Rahman1, Mohammed Monirul Islam4, Md. Asadujjaman5 and Md. Golam Sarower1
The Canonical Variates Analysis (CVA) of proximate components of raw fish of 11 different species collected from the coastal regions of Bangladesh. A. density plot showing their distribution based on all proximate components and B. the biplots of the canonical variates scores based on these proximate components. For names of species of fish, see Table I.
Proximate components (%) of raw fish of 11 species collected from the coastal regions of Bangladesh. The figure also shows the variation in proximate composition among different body parts within a species. For names of species of fish, see Table I.
Regression analysis between fish price and protein level. Each dot represents the value of individual fish, while the solid line indicates the linear fit of data. Fish price was calculated as Bangladesh Taka (BDT). 1 USD = 85 BDT. For names of species of fish, see Table I.
Proximate components of raw, boiled and fried fish of different species collected from the coastal regions of Bangladesh. All values represent as mean±SE of three replicates. Differences in small letters indicate significant variation between species at P < 0.05 level of significance. Here, Species-1, Johnius argentatus; Species-2, Sillaginopsis panijus; Species-3, Johnius elongates; Species-4, Pomadasys hasta; Species-5, Setipinna phasa; Species-6, Megalaspis cordyla; Species-7, Rita rita; Species-8, Gonialosa manmina; Species-9, Scatophagus argus; Species-10, Harpodon nehereus; Species-11, Cynoglossus lingua.
Variation in proximate components among different body parts within the same species. Differences in small letters indicate significant variation between species at P < 0.05 level of significance.
