首页> 外文OA文献 >Up-scaling validation of a dummy regression approach for predictive modelling the fillet fatty acid composition of cultured European sea bass (Dicentrarchus labrax)
【2h】

Up-scaling validation of a dummy regression approach for predictive modelling the fillet fatty acid composition of cultured European sea bass (Dicentrarchus labrax)

机译:用于模拟模拟养殖欧洲鲈鱼(Dicentrarchus labrax)鱼片脂肪酸成分的虚拟回归方法的放大验证

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

The aim of the study was to validate a dummy regression approach for predictive modelling the fillet fatty acid (FA) composition of cultured European sea bass with dietary FA composition and lipid fillet content as independent variables. The model used our own data on gilthead sea bream as reference subgroup dataset and data from turbot, sole and European sea bass as dummy variables. Most of the observed variance within and among species was explained by the regression model without statistical significant interactions on blocks between diet composition and fish species subgroups. For the validation of European sea bass FA descriptors, predictive values derived from data on fish reared at laboratory scale were plotted against those obtained in farmed fish harvested at commercial size. A close linear association near to equality was found for 12 representative FAs, including saturated FAs, monoenenes and polyunsaturated FAs. This finding reinforces the possibility to produce tailored and healthy seafood products according to the guidelines of essential FA requirements in humans. FA algorithms for all the species in the model are hosted at www.nutrigroup-iats.org/aquafat as a multispecies tool to interrogate the nutritionally regulated FA composition of four cultured marine fish species of a high added value.
机译:该研究的目的是验证一种虚拟回归方法,该方法可用于以饮食FA成分和脂质鱼片含量为自变量对养殖的欧洲鲈鱼的鱼片脂肪酸(FA)成分进行预测建模。该模型使用我们自己在金头鲷上的数据作为参考子组数据集,并使用大菱t,海底和欧洲鲈鱼的数据作为虚拟变量。回归模型解释了物种内部和物种之间观察到的大多数差异,但在饮食组成和鱼类物种亚组之间没有统计学显着的相互作用。为了验证欧洲鲈鱼FA描述符,将以实验室规模饲养的鱼类数据得出的预测值与以商业规模收获的养殖鱼类获得的预测值作图。发现包括饱和FA,单烯和多不饱和FA在内的12个代表性FA接近于近似的线性关联。这一发现增强了根据人类必需的FA要求生产定制的健康海鲜产品的可能性。该模型中所有物种的FA算法都托管在www.nutrigroup-iats.org/aquafat上,作为一种多物种工具,可以对四种高附加值养殖海水鱼的营养调节FA组成进行研究。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号