首页> 外文期刊>African Journal of Biotechnology >Proximate composition of fresh water bighead carp, Aristichthys nobilis, in relation to body size and condition factor from Islamabad, Pakistan
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Proximate composition of fresh water bighead carp, Aristichthys nobilis, in relation to body size and condition factor from Islamabad, Pakistan

机译:巴基斯坦伊斯兰堡淡水big鱼的近期组成与体型和病情因子的关系,

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摘要

Seventy-six Bighead carp,?Aristichthys nobilis, of different body sizes were selected for analysis of body composition parameters’ variables in relation to body size and condition factor. Each fish was measured, weighed, dried and powdered for the analysis of water, ash, fat and protein contents. It was observed that for?Aristichthys nobilis, significant inverse correlation existed between water content (%), fat content (%wet weight) (r = 0.906) and protein content (%wet weight) (r = 0.847). Body weight has a positive influence on fat (%wet weight) (r = 0.453) and protein content (%wet weight) (r = 0.497) and a negative influence on water content (%) (r = 0.595). Total length has a positive influence on fat (%wet weight) (r = 0.507) and protein content (%wet weight) (r = 0.539) and a negative influence on water content (%) (r = 0.649). Condition factor has a significant inverse correlation on water content (%) (r = 0.701) and a significant positive correlation between fat (%wet weight) (r = 0.655) and protein content (%wet weight) (r = 0.581). However, equations were derived to describe these relationships. The equations of each constituent were estimated and were found to be highly significant (P < 0.001). The predictive equations can be used to estimate values of body composition with a fair amount of accuracy.
机译:选择了不同体型的七十六头for鱼,用于分析与体型和条件因子有关的体成分参数变量。对每条鱼进行测量,称重,干燥和粉化,以分析水,灰分,脂肪和蛋白质含量。观察到对于阿里氏A,水含量(%),脂肪含量(%湿重)(r = 0.906)和蛋白质含量(%湿重)(r = 0.847)之间存在显着的反相关关系。体重对脂肪(湿重%)(r = 0.453)和蛋白质含量(湿重%)(r = 0.497)有积极影响,而对水分含量(%)(r = 0.595)有不利影响。总长度对脂肪(湿重%)(r = 0.507)和蛋白质含量(湿重%)(r = 0.539)有积极影响,而对水分含量(%)(r = 0.649)有不利影响。条件因子与水含量(%)呈显着负相关(r = 0.701),脂肪(%湿重)(r = 0.655)与蛋白质含量(%湿重)(r = 0.581)之间呈显着正相关。但是,衍生出方程式来描述这些关系。估计每个组成部分的方程式,发现这些方程式非常重要(P <0.001)。预测方程式可用于以相当高的准确性估算身体成分的值。

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