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Evaluation of muscle growth of rainbow trout strain

Abstract

In Brazil, most trout farms are small as a result of the limited availability of cold water. Adding value and diversifying products have been used as an alternative to improve the profitability of this activity. In this context, the establishment of different skin colors strain has deserved attention, both in research and potential phenotypic markers, and commercially by fish farms that practice recreational fishing. Thus, the objective of this study is to characterize the growth of inbred trout strains (by the color pattern) under the following aspects: to evaluate the body morphometry and allometric growth; fit the growth model to weight x age data; evaluate the hyperplasia and hypertrophy of white muscle fibers; evaluate the specific dynamic action of amino acids on muscle growth; determine the expression of genes related to muscle growth. Trout of four different colors will be obtained from crossing albino white trout with wild-type. The eggs will be incubated under the same condition and the fingerlings will be cultivated in circular tanks of 1 m³ in an open system with constant water flow, reaching a commercial weight of 350 g. Samples of fish and body tissues will be taken during growth and various histological analysis, gene expression and amino acid profile of feed, liver and muscle tissue will be performed on HPLC, mainly consisting in the analysis of diameter and density of muscle fibers, gene expression of IGF, mTOR and myostatin and specific dynamic action of amino acids, especially arginine. The allometric equation y=axb will be adopted for each component part of the body and, at the end of the experiment, the processing yield will also be determined. Data analysis will be performed considering 4 treatments (strains), four replications (tanks) in different growing seasons. The fit of the Gompertz growth model will allow evaluation of absolute growth rates, weight and age at inflection point. Analysis will be performed using SAS OnDemand for Academics, Copyright © 2020 SAS Institute Inc. (AU)

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VEICULO: TITULO (DATA)
VEICULO: TITULO (DATA)