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Improvement of feed pellet characteristics by dietary pre-gelatinized starch and their subsequent effects on growth and physiology in tilapia

Overview of attention for article published in Food Chemistry, July 2017
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Title
Improvement of feed pellet characteristics by dietary pre-gelatinized starch and their subsequent effects on growth and physiology in tilapia
Published in
Food Chemistry, July 2017
DOI 10.1016/j.foodchem.2017.07.061
Pubmed ID
Authors

Naga Kanmani, Nicholas Romano, Ebrahimi, S.M. Nurul Amin, Mohd Salleh Kamarudin, Ali Karami, Vikas Kumar

Abstract

A 9-week study was conducted to compare dietary corn starch (CS) or tapioca starch (TS), with or without being pre-gelatinized (PG), on the growth, feeding efficiencies, plasma and muscle biochemistry, intestinal short chain fatty acids (SCFA), and liver glycogen of triplicate groups of 20 red hybrid tilapia (Orecohromis sp.). Various pellet characteristics were evaluated, along with their surface and cross sectional microstructure. The PG diets had significantly higher water stability, bulk density, and protein solubility, along with a smoother surface. Tilapia fed the TS diet had lower growth than had all other tilapia, but were significantly improved when diet was pre-gelatinized. In the PG treatments, intestinal SCFA significantly decreased while plasma glucose, cholesterol and triglycerides, as well as liver glycogen, significantly increased. Fish fed the CS diet had significantly more long chain polyunsaturated fatty acid than had those fed by other treatments. Pre-gelatinization may improve fish productivity and offer greater flexibility during aquafeed production.

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Mendeley readers

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 87 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 22%
Student > Bachelor 12 14%
Student > Ph. D. Student 8 9%
Researcher 7 8%
Student > Doctoral Student 4 5%
Other 11 13%
Unknown 26 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 34%
Engineering 5 6%
Medicine and Dentistry 5 6%
Biochemistry, Genetics and Molecular Biology 3 3%
Economics, Econometrics and Finance 1 1%
Other 9 10%
Unknown 34 39%