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首页> 外文期刊>Spanish Journal of Agricultural Research >Discriminant analysis using fatty acids profile, stable carbon isotopes and tocopherols content as tool for feeding system prediction in Iberian pigs
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Discriminant analysis using fatty acids profile, stable carbon isotopes and tocopherols content as tool for feeding system prediction in Iberian pigs

机译:使用脂肪酸型材,稳定的碳同位素和生育酚含量作为伊比利亚猪喂养系统预测的工具判别分析

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Aim of study: The application of three analytical methods (fatty acids: FA, tocopherols: TOC, and isotope ratio: ISO) to distinguish the feeding type received by Iberian pigs during the fattening stage. Area of study : This distinction is very important for the labelling of Iberian high-quality products in the Quercus forest located on the southwest of Iberian Peninsula, where several production systems coexist. Material and methods : Discriminant analysis on fat samples with unknown background obtained from commercial pigs was applied. The feasibility of the combination method to determine the authentication of feeding background was studied on samples from different fattening system: free-range feeding with acorn and pastures (BE); free-range feeding acorn and pastures plus commercial feeds (RE); open-air feeding with commercial feeds (CA); standard feeding with commercial feeds (CE). Main results : In a first application of the methods, the overall success rate was 60.1% for FA, 49.7% for ISO and 49.3% for TOC. When some of the batches were reclassified attending to those previous results and additional information available about farm characteristics, ISO and TOC analyses had a 70% of success rate in the four categories, whereas FA showed 40.5%, attributable to the use of high-oleic commercial diets. The predictions improved with the method combination. The ISO+TOC combination achieved a 84.1% of success in prediction. When it was reduced to just two categories (acorn vs non-acorn), the success reached a 95% for FA+TOC and ISO+TOC. Research highlights: The use of these methods as a complementary tool for quality controls is highly recommended to avoid undesirable misclassifications.
机译:研究目的:三种分析方法的应用(脂肪酸:Fa,生育酚:TOC和同位素比率:ISO)在育肥期间区分伊伯利亚猪接收的饲养型。研究领域:这种区别对于位于伊比利亚半岛西南部的紫荆林中的伊比利亚高品质产品的标签非常重要,其中几种生产系统共存。材料和方法:施加了从商业猪获得的未知背景的脂肪样本的判别分析。采用不同育肥系统的样品研究了饲料背景认证的组合方法的可行性:用橡子和牧场的自由射水;自由放养橡子和牧场加商用饲料(RE);与商用饲料(CA)露天喂食;配商用饲料(CE)的标准喂养。主要结果:在第一次应用方法中,FA的总体成功率为60.1%,ISO为49.7%,49.3%。当一些批次被重新分类到上一个结果和关于农场特征的其他信息时,ISO和TOC分析有四个类别的70%的成功率,而FA表现出40.5%,归因于使用高油酸商业饮食。预测随方法组合而改进。 ISO + TOC组合在预测中取得了84.1%的成功。当它减少到两类(橡子VS非橡子)时,FA + TOC和ISO + TOC的成功达到了95%。研究亮点:强烈建议使用这些方法作为质量控制的补充工具,以避免不期望的错误分类。

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