Prediction of fillet yield in hatchery populations of Asian sea bass, Lates calcarifer (Bloch, 1790) using body weight and measurements

Abstract

The purpose of this study was to develop and validate prediction equations for fillet traits in Asian sea bass. Ninety-day old fish (average weight = 9.48 ± 0.35 g; length = 8.78 ± 0.6 cm) from four hatchery stocks (Chachoengsao, Chon Buri, Chumphon, and Samut Songkram) were raised in earthen ponds. After 300 days, weight and body measurement data of live fish (n = 400) were collected. Mean individual weight was greatest for the Chacheongsao stock (1166.32 ± 23.42 g) and was similar for the other stocks, ranging from 982.96 ± 25.07 to 997.44 ± 24.71 g. Fillet percentage varied slightly from 47.33 to 49.88%. Positive high correlations were observed for weight and body measurements with fillet weight, whereas there were significant but weak correlations for body measurements with fillet yield. Prediction equations developed from body weight using simple linear regression models yielded R 2 values of 0.97-0.98 for fillet weight for each stock. Correlations between values predicted from the body weight models and actual values were 0.98-0.99 for fillet weight. Stepwise regression was performed to develop prediction models for fillet yield from body measurements. The best fillet yield prediction models identified length and an additional 2-3 measurement as potential predictors depending on the population. Prediction biases were close to zero despite low to moderate (r values of 0.20-0.51) degrees of predictive power of the models. However, prediction models for fillet yield should be further developed to increase predictability and be applicable to new data.

Optimization of the Enzymatic Protein Hydrolysis of By-Products from Seabream (Sparus aurata) and Seabass (Dicentrarchus labrax), Chemical and Functional Characterization

“…However, growing interest by consumers in convenience products has produced an increase in fillet production [ 3 ]. By-products of seabream and seabass account for around 60% and 50% respectively of total weight [ 4 , 5 , 6 ], therefore a significant amount of processing waste can be expected in the near future.…”

Fillet Yield and Length-Weight Relationship of Five Fish Species From Lower River Benue, Makurdi, Nigeria

“…(1992) and Galvão et al (2010) had earlier opined that species with large heads and skeleton relative to their musculature gave lower filleting yield than those with smaller heads and skeletons. However, Yenmak et al (2018) suggested that the relationship between fish size and fillet yield is positive, meaning, larger fishes provided higher fillet yield percentages than smaller fish size. From the findings of this study, it is clear that this assumption does not hold when different species are considered.…”

“…Filleting was done by four skilled fish processors. The procedure for filleting was according to the report of Yenmak et al (2018) following the few modifications made by Okomoda et al . (2020) .…”

Hydrothermal Processing of Clarias gariepinus (Burchell, 1822) Filets: Insights on the Nutritive Value and Organoleptic Parameters

“…Fileting of the fish was then done by four skilled fish processors. The procedure for fileting was a modification of the method previously reported by Yenmak et al [ 13 ]. The fish were cut from the top of the head, down the side behind the pectoral fins, and along the side of the dorsal fins with the aid of a sterilized sharp knife.…”