Dardabou Laid, Martínez-Ávila José Carlos, Schmidt Markus Werner, Dublecz Károly, Schwarz Christiane, Ibáñez Miguel Angel, Gierus Martin
Institute of Animal Nutrition, Livestock Products, and Nutrition Physiology, University of Natural Resources and Life Sciences, 1190 Vienna, Austria.
Departamento de Economía Agraria, Estadística y Gestión de Empresas, Universidad Politécnica de Madrid, 28040 Madrid, Spain.
Animals (Basel). 2024 Jan 24;14(3):378. doi: 10.3390/ani14030378.
The shift in animal welfare standards towards free-range housing for laying hens in the EU has raised questions about changes in dietary composition. Accurate assessment of outdoor plant material intake is crucial for effective feeding strategies. This study introduces an approach using n-alkanes as markers to determine plant intake in laying hens, involving n-alkane recovery rate assessment, discriminant analysis and linear equation-solving for both qualitative and quantitative assessment, respectively, considering systematic n-alkane combinations. Two diets: a standard commercial diet and a diet incorporating 1% alfalfa were tested. Chemical analyses showed an altered n-alkane profile due to alfalfa inclusion, resulting a recovery rates ranging from 30-44% depending on the n-alkane type and diet. Statistical analysis revealed significant differences in recovery rates among the different alkanes for the same diets and between the diets for the same alkane, together with an interaction between n-alkane carbon chain length and initial concentration in the diet. The method accurately predicted plant inclusion, with a slight overestimation (2.80%) using the combination C25-C29-C33. Accurate qualitative classification of the animals based on fecal n-alkanes profiles was observed. The study successfully demonstrated the utility of n-alkanes for estimating dietary composition, providing a non-invasive approach for future free-range studies.
欧盟动物福利标准向蛋鸡散养模式的转变引发了关于饮食成分变化的问题。准确评估户外植物性物质的摄入量对于有效的喂养策略至关重要。本研究引入了一种使用正构烷烃作为标志物来测定蛋鸡植物摄入量的方法,该方法涉及正构烷烃回收率评估、判别分析以及分别用于定性和定量评估的线性方程求解,同时考虑了系统性的正构烷烃组合。对两种日粮进行了测试:一种是标准商业日粮,另一种是含有1%苜蓿的日粮。化学分析表明,由于添加了苜蓿,正构烷烃谱发生了变化,根据正构烷烃类型和日粮的不同,回收率在30%至44%之间。统计分析显示,相同日粮中不同正构烷烃之间以及相同正构烷烃在不同日粮之间的回收率存在显著差异,同时正构烷烃碳链长度与日粮初始浓度之间存在相互作用。该方法准确预测了植物的添加情况,使用C25 - C29 - C33组合时略有高估(2.80%)。观察到基于粪便正构烷烃谱对动物进行了准确的定性分类。该研究成功证明了正构烷烃在估计日粮组成方面的实用性,为未来的散养研究提供了一种非侵入性方法。