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Prediction of fatty acid content and composition of forages in the new INRA feed tables

机译:预测新型INRA饲料表中脂肪酸含量及饲料组成

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Forages may contribute to the nutritional value of milk and meat through their content and composition in fatty acids (FA). To optimise a ruminant diet for a target milk or meat FA composition, we need to know the FA content and composition of feedstuffs. However, no detailed FA composition of forages is available in feed tables. The objective of this study was to develop predictive models of FA content and composition of forages, from a database of published studies post-dated 1970. Models were developed for fresh forages, for estimating total FA content and FA composition from crude protein (CP) content and from total FA content, respectively. For conserved forages, total FA content and composition were estimated from the corresponding fresh forage using models integrating the effects of conservation and harvest conditions. Models were also established to estimate their FA content and profile from their CP content when the laboratory analysis is performed on conserved forages. Overall, these models enable the estimation of FA content and composition for different types of forages and were applied to complete the characterisation of forages in the new INRA feed tables.
机译:饲料可能通过脂肪酸(FA)中的含量和组成有助于牛奶和肉的营养价值。为了优化目标牛奶或肉类组成的反刍动物饮食,我们需要了解饲料的FA内容和组成。但是,饲料表中没有详细的饲料组成。本研究的目的是从1970年后的发布研究数据库制定FA内容和缺少组成的预测模型。用于估计粗蛋白(CP)的全部FA含量和FA组成的模型开发了模型。内容分别和总FA内容。对于保守的饲料,使用集成保护和收获条件影响的模型,从相应的新鲜饲料估计总FA含量和组合。当实验室分析对保守的饲料进行实验室分析时,还建立了模型来估计他们的CP内容和概况。总的来说,这些模型能够估计不同类型的缺口的FA内容和组合,并应用于在新的InRA馈电表中完成伪造的特征。

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