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      Fungal species and mycotoxins in mouldy spots of grass and maize silages in Austria

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          Abstract

          Fungi and mycotoxins in silage can have detrimental consequences for both cattle and human health. This pilot study identified, via the routinary direct plating method, the dominant cultivable fungi in mouldy grass silages (GS) ( n = 19) and maize silages (MS) ( n = 28) from Austria. The profiles of regulated, modified, and emerging mycotoxins together with other fungal metabolites were analysed via LC-(ESI)MS/MS. Penicillium roqueforti, Saccharomyces spp., Geotrichum candidum, Aspergillus fumigatus and Monascus ruber were the most frequent fungal organisms identified. Other species including Mucor circinelloides, Fusarium spp. and Paecilomyces niveus were detected at lower frequencies. The presence of complex mixtures of toxic and potentially toxic compounds was evidenced by high levels and occurrences (≥ 50%) of Penicillium-produced compounds such as mycophenolic acid (MPA), roquefortines (ROCs), andrastins (ANDs) and marcfortine A. Mouldy silages contained toxins commonly produced by genus Fusarium (e.g. zearalenone (ZEN) and trichothecenes), Alternaria (like tenuazonic acid (TeA) and alternariol (AHO)) and Aspergillus (such as sterigmatocystin (STC)). Compared to those in GS, mouldy spots in MS presented significantly higher fungal counts and more diverse toxin profiles, in addition to superior levels of Fusarium spp., Penicillium spp. and total fungal metabolites. Generally, no correlation between mould counts and corresponding metabolites was detected, except for the counts of P. roqueforti, which were positively correlated with Penicillium spp. metabolites in mouldy MS. This study represents a first assessment of the fungal diversity in mouldy silage in Austria and highlights its potential role as a substantial contributor to contamination with complex mycotoxin mixtures in cattle diets.

          Supplementary information

          The online version contains supplementary material available at 10.1007/s12550-022-00453-3.

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          Correlation Coefficients

          Correlation in the broadest sense is a measure of an association between variables. In correlated data, the change in the magnitude of 1 variable is associated with a change in the magnitude of another variable, either in the same (positive correlation) or in the opposite (negative correlation) direction. Most often, the term correlation is used in the context of a linear relationship between 2 continuous variables and expressed as Pearson product-moment correlation. The Pearson correlation coefficient is typically used for jointly normally distributed data (data that follow a bivariate normal distribution). For nonnormally distributed continuous data, for ordinal data, or for data with relevant outliers, a Spearman rank correlation can be used as a measure of a monotonic association. Both correlation coefficients are scaled such that they range from -1 to +1, where 0 indicates that there is no linear or monotonic association, and the relationship gets stronger and ultimately approaches a straight line (Pearson correlation) or a constantly increasing or decreasing curve (Spearman correlation) as the coefficient approaches an absolute value of 1. Hypothesis tests and confidence intervals can be used to address the statistical significance of the results and to estimate the strength of the relationship in the population from which the data were sampled. The aim of this tutorial is to guide researchers and clinicians in the appropriate use and interpretation of correlation coefficients.
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            Silage review: Recent advances and future uses of silage additives

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              Fusarium mycotoxins: a review of global implications for animal health, welfare and productivity

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                Author and article information

                Contributors
                ratchaneewan.khiaosa-ard@vetmeduni.ac.at
                Journal
                Mycotoxin Res
                Mycotoxin Res
                Mycotoxin Research
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0178-7888
                1867-1632
                26 March 2022
                26 March 2022
                2022
                : 38
                : 2
                : 117-136
                Affiliations
                [1 ]GRID grid.6583.8, ISNI 0000 0000 9686 6466, Institute of Animal Nutrition and Functional Plant Compounds, , University of Veterinary Medicine Vienna, ; Veterinaerplatz 1, 1210 Vienna, Austria
                [2 ]BIOMIN Research Center, Technopark 1, 3430 Tulln a.d. Donau, Austria
                [3 ]GRID grid.5173.0, ISNI 0000 0001 2298 5320, Department IFA-Tulln, , University of Natural Resources and Life Sciences (BOKU), ; Konrad Lorenzstrasse 20, 3430 Tulln, Austria
                [4 ]GRID grid.6583.8, ISNI 0000 0000 9686 6466, Institute of Food Safety, Food Technology and Veterinary Public Health, , University of Veterinary Medicine Vienna, ; Veterinaerplatz 1, 1210 Vienna, Austria
                [5 ]Research Platform Bioactive Microbial Metabolites (BiMM), 3430 Tulln a.d. Donau, Austria
                [6 ]GRID grid.6583.8, ISNI 0000 0000 9686 6466, Department for Farm Animals and Veterinary Public Health, , Christian-Doppler-Laboratory for Innovative Gut Health Concepts in Livestock (CDL-LiveGUT), University of Veterinary Medicine Vienna, ; Veterinaerplatz 1, 1210 Vienna, Austria
                Author information
                http://orcid.org/0000-0003-3359-5787
                Article
                453
                10.1007/s12550-022-00453-3
                9038934
                35347677
                f35afb83-ec67-4dfd-9f8c-26b3b5ad3d00
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 20 September 2021
                : 18 February 2022
                : 8 March 2022
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100004955, Österreichische Forschungsförderungsgesellschaft;
                Funded by: University of Veterinary Medicine Vienna
                Categories
                Original Article
                Custom metadata
                © The Author(s) under exclusive licence to Society for Mycotoxin (Research Gesellschaft für Mykotoxinforschung e.V.) and Springer-Verlag GmbH Germany, part of Springer Nature 2022

                Toxicology
                silage quality,spoilage,fungal contamination,multi-mycotoxin analysis,dairy farm
                Toxicology
                silage quality, spoilage, fungal contamination, multi-mycotoxin analysis, dairy farm

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