Chen Guo, Schäufele Rudi, Auerswald Karl
Lehrstuhl für Grünlandlehre, Technische Universität München , Alte Akademie 12, Freising-Weihenstephan 85354, Germany.
J Agric Food Chem. 2017 Aug 30;65(34):7387-7395. doi: 10.1021/acs.jafc.7b02482. Epub 2017 Aug 16.
There are increasing concerns by consumers regarding agricultural product traceability and authenticity. Oxygen isotope composition (δO) has been used in this context based on the relationship between δO of animal products and annual precipitation. However, in dairy products this relationship is affected by the seasonality of δO in milk water which in turn depends on the feeding system used. We measured 608 milk samples from 28 farms with various feeding strategies in southern Germany throughout the year, investigating the influences of ambient conditions, drinking water source, and feeding strategies on seasonal variation of δO in milk water (δ). The mechanistic Munich-Kohn model reflecting these influences predicted the seasonal and farm-specific variation of δ well. The relationship between δO of precipitation and δ varied in different feeding strategies. The interplay of ambient conditions and feeding strategy on δ should thus be carefully considered when identifying the origin of milk.
消费者对农产品可追溯性和真实性的担忧日益增加。基于动物产品的氧同位素组成(δO)与年降水量之间的关系,氧同位素组成已在此背景下得到应用。然而,在乳制品中,这种关系会受到乳水中δO季节性的影响,而乳水中δO的季节性又取决于所采用的饲养系统。我们全年对德国南部28个采用不同饲养策略的农场的608份牛奶样本进行了测量,研究环境条件、饮用水源和饲养策略对乳水中δO(δ)季节性变化的影响。反映这些影响的机理慕尼黑 - 科恩模型很好地预测了δ的季节性和农场特定变化。不同饲养策略下,降水量的δO与δ之间的关系有所不同。因此,在确定牛奶来源时,应仔细考虑环境条件和饲养策略对δ的相互作用。