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Effects of Milk Yield, Feed Composition, and Feed Contamination with Aflatoxin B1 on the Aflatoxin M1 Concentration in Dairy Cows’ Milk Investigated Using Monte Carlo Simulation Modelling

机译:蒙特卡罗模拟模型研究牛奶产量,饲料成分和黄曲霉毒素B1对饲料中黄曲霉毒素M1浓度的影响

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This study investigated the presence of aflatoxin M1 (AfM1) in dairy cows’ milk, given predefined scenarios for milk production, compound feed (CF) contamination with aflatoxin B1 (AfB1), and inclusion rates of ingredients, using Monte Carlo simulation modelling. The model simulated a typical dairy farm in the Netherlands. Six different scenarios were considered, based on two lactation and three CF composition scenarios. AfB1 contamination of the CF was based on results from the Dutch national monitoring programme for AfB1 in feed materials from 2000 until 2010. Monitoring data from feed materials used in CF production for dairy cattle in the Netherlands were used. Additionally, AfB1 contamination data from an incident in maize in 2013 were used. In each scenario, five different transfer equations of AfB1 from feed to AfM1 in the milk were used, and 1000 iterations were run for each scenario. The results showed that under these six scenarios, the weekly farm concentration of AfM1 in milk was above the EC threshold in less than 1% of the iterations, with all five transfer equations considered. However, this increased substantially in weeks when concentrations from the contaminated maize batch were included, and up to 28.5% of the iterations exceeded the EC threshold. It was also observed that an increase in the milk production had a minimal effect on the exceedance of the AfM1 threshold due to an apparent dilution effect. Feeding regimes, including the composition of CF and feeding roughages of dairy cows, should be carefully considered based on the potential AfM1 contamination of the farm’s milk.
机译:这项研究使用蒙特卡洛模拟模型,研究了奶牛奶中黄曲霉毒素M1(AfM1)的存在,给定的牛奶生产情景,黄曲霉毒素B1(AfB1)对复合饲料(CF)的污染以及成分的包含率。该模型模拟了荷兰的一个典型奶牛场。基于两个哺乳期和三个CF组成方案,考虑了六个不同的方案。 CF的AfB1污染基于2000年至2010年荷兰国家对饲料原料中AfB1的监测计划的结果。使用了荷兰奶牛CF生产中所用饲料原料的监测数据。此外,还使用了2013年玉米事件中的AfB1污染数据。在每种情况下,都使用了五个不同的AfB1从进料到牛奶中AfM1的转移方程式,并且每种情况下进行了1000次迭代。结果表明,在这六种情况下,考虑到所有五个转移方程式,每周农场中牛奶中AfM1的浓度在不到1%的迭代中都高于EC阈值。但是,当包括受污染的玉米批次的浓度时,这在几周内大大增加,并且高达28.5%的迭代超过EC阈值。还观察到,由于明显的稀释作用,牛奶产量的增加对超过AfM1阈值的影响最小。应根据农场牛奶中潜在的AfM1污染,认真考虑包括CF成分和奶牛粗饲料在内的喂养方式。

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