Feed-Based Multi-Mycotoxin Occurrence in Smallholder Dairy Farming Systems of South Africa: The Case of Limpopo and Free State

Mycotoxin contamination of feed does not only cut across food and feed value chains but compromises animal productivity and health, affecting farmers, traders and consumers alike. To aid in the development of a sustainable strategy for mycotoxin control in animal-based food production systems, this...

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Main Authors: Rumbidzai Changwa, Marthe De Boevre, Sarah De Saeger, Patrick Berka Njobeh
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Toxins
Subjects:
Online Access:https://www.mdpi.com/2072-6651/13/2/166
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spelling doaj-f4a1e5a11bf84201bb06027f269944712021-02-23T00:01:48ZengMDPI AGToxins2072-66512021-02-011316616610.3390/toxins13020166Feed-Based Multi-Mycotoxin Occurrence in Smallholder Dairy Farming Systems of South Africa: The Case of Limpopo and Free StateRumbidzai Changwa0Marthe De Boevre1Sarah De Saeger2Patrick Berka Njobeh3Department of Biotechnology and Food Technology, Faculty of Science, Doornfontein Campus, University of Johannesburg, P.O. Box 17011, Gauteng 2028, South AfricaCenter of Excellence in Mycotoxicology & Public Health, Department of Bioanalysis, Ghent University, B-9000 Ghent, BelgiumDepartment of Biotechnology and Food Technology, Faculty of Science, Doornfontein Campus, University of Johannesburg, P.O. Box 17011, Gauteng 2028, South AfricaDepartment of Biotechnology and Food Technology, Faculty of Science, Doornfontein Campus, University of Johannesburg, P.O. Box 17011, Gauteng 2028, South AfricaMycotoxin contamination of feed does not only cut across food and feed value chains but compromises animal productivity and health, affecting farmers, traders and consumers alike. To aid in the development of a sustainable strategy for mycotoxin control in animal-based food production systems, this study focused on smallholder farming systems where 77 dairy cattle feed samples were collected from 28 smallholder dairy establishments in the Limpopo and Free State provinces of South Africa between 2018 and 2019. Samples were analyzed using a confirmatory UHPLC–MS/MS (Ultra-high performance liquid chromatography-tandem mass spectrometry) method validated for simultaneous detection of 23 mycotoxins in feeds. Overall, mycotoxins assessed were detected across samples with 86% of samples containing at least one mycotoxin above respective decision limits; up to 66% of samples were found to be contaminated with at least three mycotoxins. Findings demonstrated that deoxynivalenol, sterigmatocystin, alternariol and enniatin B were the most common mycotoxins, while low to marginal detection rates were observed for all other mycotoxins with none of the samples containing fusarenon-X, HT-2-toxin and neosolaniol. Isolated cases of deoxynivalenol (maximum: 2385 µg/kg), aflatoxins (AFB<sub>1</sub> (maximum: 30.2 µg/kg)/AFG<sub>1</sub> (maximum: 23.1 µg/kg)), and zearalenone (maximum: 1793 µg/kg) in excess of local and European regulatory limits were found. Kruskal−Wallis testing for pairwise comparisons showed commercial feed had significantly higher contamination for deoxynivalenol and its acylated derivatives, ochratoxin A and fumonisins (FB<sub>1</sub> and FB<sub>2</sub>), whereas forages had significantly higher alternariol; in addition to significantly higher fumonisin B<sub>1 </sub>contamination for Limpopo coupled with significantly higher enniatin B and sterigmatocystin for Free State. Statistically significant Spearman correlations (<i>p</i> < 0.01) were also apparent for ratios for deoxynivalenol/fumonisin B<sub>1</sub> (r<sub>s</sub> = 0.587) and zearalenone/ alternariol methylether (r<sub>s</sub> = 0.544).https://www.mdpi.com/2072-6651/13/2/166multi-mycotoxinsUHPLC-MS/MSsmallholder farmingdairy cattledairy feed
collection DOAJ
language English
format Article
sources DOAJ
author Rumbidzai Changwa
Marthe De Boevre
Sarah De Saeger
Patrick Berka Njobeh
spellingShingle Rumbidzai Changwa
Marthe De Boevre
Sarah De Saeger
Patrick Berka Njobeh
Feed-Based Multi-Mycotoxin Occurrence in Smallholder Dairy Farming Systems of South Africa: The Case of Limpopo and Free State
Toxins
multi-mycotoxins
UHPLC-MS/MS
smallholder farming
dairy cattle
dairy feed
author_facet Rumbidzai Changwa
Marthe De Boevre
Sarah De Saeger
Patrick Berka Njobeh
author_sort Rumbidzai Changwa
title Feed-Based Multi-Mycotoxin Occurrence in Smallholder Dairy Farming Systems of South Africa: The Case of Limpopo and Free State
title_short Feed-Based Multi-Mycotoxin Occurrence in Smallholder Dairy Farming Systems of South Africa: The Case of Limpopo and Free State
title_full Feed-Based Multi-Mycotoxin Occurrence in Smallholder Dairy Farming Systems of South Africa: The Case of Limpopo and Free State
title_fullStr Feed-Based Multi-Mycotoxin Occurrence in Smallholder Dairy Farming Systems of South Africa: The Case of Limpopo and Free State
title_full_unstemmed Feed-Based Multi-Mycotoxin Occurrence in Smallholder Dairy Farming Systems of South Africa: The Case of Limpopo and Free State
title_sort feed-based multi-mycotoxin occurrence in smallholder dairy farming systems of south africa: the case of limpopo and free state
publisher MDPI AG
series Toxins
issn 2072-6651
publishDate 2021-02-01
description Mycotoxin contamination of feed does not only cut across food and feed value chains but compromises animal productivity and health, affecting farmers, traders and consumers alike. To aid in the development of a sustainable strategy for mycotoxin control in animal-based food production systems, this study focused on smallholder farming systems where 77 dairy cattle feed samples were collected from 28 smallholder dairy establishments in the Limpopo and Free State provinces of South Africa between 2018 and 2019. Samples were analyzed using a confirmatory UHPLC–MS/MS (Ultra-high performance liquid chromatography-tandem mass spectrometry) method validated for simultaneous detection of 23 mycotoxins in feeds. Overall, mycotoxins assessed were detected across samples with 86% of samples containing at least one mycotoxin above respective decision limits; up to 66% of samples were found to be contaminated with at least three mycotoxins. Findings demonstrated that deoxynivalenol, sterigmatocystin, alternariol and enniatin B were the most common mycotoxins, while low to marginal detection rates were observed for all other mycotoxins with none of the samples containing fusarenon-X, HT-2-toxin and neosolaniol. Isolated cases of deoxynivalenol (maximum: 2385 µg/kg), aflatoxins (AFB<sub>1</sub> (maximum: 30.2 µg/kg)/AFG<sub>1</sub> (maximum: 23.1 µg/kg)), and zearalenone (maximum: 1793 µg/kg) in excess of local and European regulatory limits were found. Kruskal−Wallis testing for pairwise comparisons showed commercial feed had significantly higher contamination for deoxynivalenol and its acylated derivatives, ochratoxin A and fumonisins (FB<sub>1</sub> and FB<sub>2</sub>), whereas forages had significantly higher alternariol; in addition to significantly higher fumonisin B<sub>1 </sub>contamination for Limpopo coupled with significantly higher enniatin B and sterigmatocystin for Free State. Statistically significant Spearman correlations (<i>p</i> < 0.01) were also apparent for ratios for deoxynivalenol/fumonisin B<sub>1</sub> (r<sub>s</sub> = 0.587) and zearalenone/ alternariol methylether (r<sub>s</sub> = 0.544).
topic multi-mycotoxins
UHPLC-MS/MS
smallholder farming
dairy cattle
dairy feed
url https://www.mdpi.com/2072-6651/13/2/166
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