2017
DOI: 10.21077/ijf.2017.64.3.59243-08
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Effects of meal and body sizes on gastric evacuation rate in brooktrout Salvelinus fontinalis (Mitchill, 1814) fed commercial pellets in group feeding

Abstract: The effects of meal and body sizes on gastric evacuation (GE) of brook trout Salvelinus fontinalis (Mitchill, 1814) were determined following group feeding instead of feeding individually maintained fish. The GE experiments included small (ranging from 64.75 to 69.72 g) and large fish (ranging from 161.59 to 170.95 g). Fish in each size group was fed with three different meal sizes under similar conditions. The stomach contents were then recovered at predetermined postprandial times by serial slaughtering. The… Show more

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Cited by 5 publications
(7 citation statements)
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“…Three different regression models were used to describe the relationship between the stomach contents and time (Bascinar, Bascinar, Khan, & Seyhan, ):Linear model:St=a-ρtSquare root model:St=a-0.5ρtExponential model:St=ae-ρxwhere S t is the stomach content at postprandial time, a is the intercept and ρ rate parameter.…”
Section: Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…Three different regression models were used to describe the relationship between the stomach contents and time (Bascinar, Bascinar, Khan, & Seyhan, ):Linear model:St=a-ρtSquare root model:St=a-0.5ρtExponential model:St=ae-ρxwhere S t is the stomach content at postprandial time, a is the intercept and ρ rate parameter.…”
Section: Methodsmentioning
confidence: 99%
“…Three different regression models were used to describe the relationship between the stomach contents and time (Bascinar, Bascinar, Khan, & Seyhan, 2017):…”
Section: Ge Modellingmentioning
confidence: 99%
See 1 more Smart Citation
“…Three GE models were applied to the GE data of A . gueldenstaedtii (Bascinar, Bascinar, Khan, & Seyhan, ):Linermodel:St=a-ρtSquarerootmodel:St=a-0.5ρtExponentialmodel:St=ae-ρxwhere a is the intercept and ρ rate parameter.…”
Section: Methodsmentioning
confidence: 99%
“…gueldenstaedtii was selected using the residual sum of squares ( RSS ) and adjusted r 2 . The one consistently provided the lowest RSS and highest Adjust r 2 was selected as a best fit model to the GE data (Bascinar, Bascinar, Seyhan, & Khan, ). The square root model meets this criterion and was applied to the combined data to determine the effects of fish size on GER:dStdt=-ρLLλStwhere L T fish total length and λ is the length exponent to be estimated.…”
Section: Methodsmentioning
confidence: 99%