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Updated: Feb 15, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Data Analyses and Modelling for Risk Based Monitoring of Mycotoxins in Animal Feed
H J Ine van der Fels-Klerx1, Paulien Adamse2, Ans Punt3
1RIKILT Wageningen Research, Akkermaalsbos 2, 6708 WB Wageningen, The Netherlands. ine.vanderfels@wur.nl.
Abstract:
Following legislation, European Member States should have multi-annual control programs for contaminants, such as for mycotoxins, in feed and food. These programs need to be risk based implying the checks are regular and proportional to the estimated risk for animal and human health. This study aimed to prioritize feed products in the Netherlands for deoxynivalenol and aflatoxin B₁ monitoring. Historical mycotoxin monitoring results from the period 2007-2016 were combined with data from other sources. Based on occurrence, groundnuts had high priority for aflatoxin B₁ monitoring; some feed materials (maize and maize products and several oil seed products) and complete/complementary feed excluding dairy cattle and young animals had medium priority; and all other animal feeds and feed materials had low priority. For deoxynivalenol, maize by-products had a high priority, complete and complementary feed for pigs had a medium priority and all other feed and feed materials a low priority. Also including health consequence estimations showed that feed materials that ranked highest for aflatoxin B₁ included sunflower seed and palmkernel expeller/extracts and maize. For deoxynivalenol, maize products were ranked highest, followed by various small grain cereals (products); all other feed materials were of lower concern. Results of this study have proven to be useful in setting up the annual risk based control program for mycotoxins in animal feed and feed materials.
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