Correction: S. Vogelgsang et al. Fusarium Mycotoxins in Swiss Wheat: A Survey of Growers’ Samples between 2007 and 2014 Shows Strong Year and Minor Geographic Effects. Toxins 2017, 9, 246
by
, , and
Susanne Vogelgsang
1,*
,
Tomke Musa
1,
Irene Bänziger
1,
Andreas Kägi
1,
Thomas D. Bucheli
1,
Felix E. Wettstein
1,
Matias Pasquali
2 and
Hans-Rudolf Forrer
1 1
Agroscope, Reckenholzstrasse 191, 8046 Zurich, Switzerland
2
Department of Food, Environmental and Nutritional Sciences, University of Milan, Via Mangiagalli 25, 20133 Milano, Italy
*
Author to whom correspondence should be addressed.
Toxins 2017, 9(11), 377; https://doi.org/10.3390/toxins9110377
Submission received: 9 November 2017
/
Revised: 19 November 2017
/
Accepted: 19 November 2017
/
Published: 21 November 2017
(This article belongs to the Collection Understanding Mycotoxin Occurrence in Food and Feed Chains)
The authors wish to correct Figures 3–5 in this paper [1]. In all three figures, the y axis stated as a unit “milligram/kg” (mg/kg) instead of “microgram/kg” (µg/kg).
Replace
![Toxins 09 00377 i003]()
with
![Toxins 09 00377 g003]()
Figure 3.
Effect of the year on the average content of deoxynivalenol in wheat. (A) Swiss-wide monitoring (2007–2010); (B) monitoring in the canton Berne (2011–2014). Numbers in parentheses indicate the number of samples. Error bars represent the standard error of the means. For each monitoring set, values followed by the same letters are not statistically different (α = 0.05). The red circles in (A) indicate the sum of the “Main Infection and Sporulation Period” (MISP) days (days with a high infection risk by Fusarium graminearum), averaged over 17 weather stations, calculated by the Swiss forecasting system FusaProg for the periods of anthesis for the years 2007 to 2010. No MISP calculations were done for the monitoring between 2011 and 2014.
Figure 3.
Effect of the year on the average content of deoxynivalenol in wheat. (A) Swiss-wide monitoring (2007–2010); (B) monitoring in the canton Berne (2011–2014). Numbers in parentheses indicate the number of samples. Error bars represent the standard error of the means. For each monitoring set, values followed by the same letters are not statistically different (α = 0.05). The red circles in (A) indicate the sum of the “Main Infection and Sporulation Period” (MISP) days (days with a high infection risk by Fusarium graminearum), averaged over 17 weather stations, calculated by the Swiss forecasting system FusaProg for the periods of anthesis for the years 2007 to 2010. No MISP calculations were done for the monitoring between 2011 and 2014.
Figure 3.
Effect of the year on the average content of deoxynivalenol in wheat. (A) Swiss-wide monitoring (2007–2010); (B) monitoring in the canton Berne (2011–2014). Numbers in parentheses indicate the number of samples. Error bars represent the standard error of the means. For each monitoring set, values followed by the same letters are not statistically different (α = 0.05). The red circles in (A) indicate the sum of the “Main Infection and Sporulation Period” (MISP) days (days with a high infection risk by Fusarium graminearum), averaged over 17 weather stations, calculated by the Swiss forecasting system FusaProg for the periods of anthesis for the years 2007 to 2010. No MISP calculations were done for the monitoring between 2011 and 2014.
Figure 3.
Effect of the year on the average content of deoxynivalenol in wheat. (A) Swiss-wide monitoring (2007–2010); (B) monitoring in the canton Berne (2011–2014). Numbers in parentheses indicate the number of samples. Error bars represent the standard error of the means. For each monitoring set, values followed by the same letters are not statistically different (α = 0.05). The red circles in (A) indicate the sum of the “Main Infection and Sporulation Period” (MISP) days (days with a high infection risk by Fusarium graminearum), averaged over 17 weather stations, calculated by the Swiss forecasting system FusaProg for the periods of anthesis for the years 2007 to 2010. No MISP calculations were done for the monitoring between 2011 and 2014.
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![Toxins 09 00377 i004]()
with
![Toxins 09 00377 g004]()
Figure 4.
Effect of the year on the average content of zearalenone in wheat. (A) Swiss-wide monitoring (2007–2010); (B) monitoring in the canton Berne (2011–2014). Numbers in parentheses indicate the number of samples. Error bars represent the standard error of the means. n.s. = not significant (α = 0.05).
Figure 4.
Effect of the year on the average content of zearalenone in wheat. (A) Swiss-wide monitoring (2007–2010); (B) monitoring in the canton Berne (2011–2014). Numbers in parentheses indicate the number of samples. Error bars represent the standard error of the means. n.s. = not significant (α = 0.05).
Figure 4.
Effect of the year on the average content of zearalenone in wheat. (A) Swiss-wide monitoring (2007–2010); (B) monitoring in the canton Berne (2011–2014). Numbers in parentheses indicate the number of samples. Error bars represent the standard error of the means. n.s. = not significant (α = 0.05).
Figure 4.
Effect of the year on the average content of zearalenone in wheat. (A) Swiss-wide monitoring (2007–2010); (B) monitoring in the canton Berne (2011–2014). Numbers in parentheses indicate the number of samples. Error bars represent the standard error of the means. n.s. = not significant (α = 0.05).
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![Toxins 09 00377 i005]()
with
![Toxins 09 00377 g005]()
Figure 5.
Effect of the year on the average content of nivalenol in wheat. (A) Swiss-wide monitoring (2007–2010); (B) monitoring in the canton Berne (2011–2014). For 2014, no statistical analyses were performed since the content in that year was always below the limit of detection. Numbers in parentheses indicate the number of samples. Error bars represent the standard error of the means. For each monitoring set, values followed by the same letters are not statistically different (α = 0.05); n.s. = not significant (α = 0.05).
Figure 5.
Effect of the year on the average content of nivalenol in wheat. (A) Swiss-wide monitoring (2007–2010); (B) monitoring in the canton Berne (2011–2014). For 2014, no statistical analyses were performed since the content in that year was always below the limit of detection. Numbers in parentheses indicate the number of samples. Error bars represent the standard error of the means. For each monitoring set, values followed by the same letters are not statistically different (α = 0.05); n.s. = not significant (α = 0.05).
Figure 5.
Effect of the year on the average content of nivalenol in wheat. (A) Swiss-wide monitoring (2007–2010); (B) monitoring in the canton Berne (2011–2014). For 2014, no statistical analyses were performed since the content in that year was always below the limit of detection. Numbers in parentheses indicate the number of samples. Error bars represent the standard error of the means. For each monitoring set, values followed by the same letters are not statistically different (α = 0.05); n.s. = not significant (α = 0.05).
Figure 5.
Effect of the year on the average content of nivalenol in wheat. (A) Swiss-wide monitoring (2007–2010); (B) monitoring in the canton Berne (2011–2014). For 2014, no statistical analyses were performed since the content in that year was always below the limit of detection. Numbers in parentheses indicate the number of samples. Error bars represent the standard error of the means. For each monitoring set, values followed by the same letters are not statistically different (α = 0.05); n.s. = not significant (α = 0.05).
The changes do not affect the scientific results. The manuscript will be updated and the original will remain online on the article webpage. We apologize for any inconvenience caused to our readers.
Reference
- Vogelgsang, S.; Musa, T.; Bänziger, I.; Kägi, A.; Bucheli, T.D.; Wettstein, F.E.; Forrer, H.R. Fusarium Mycotoxins in Swiss Wheat: A Survey of Growers’ Samples between 2007 and 2014 Shows Strong Year and Minor Geographic Effects. Toxins 2017, 9, 246. [Google Scholar] [CrossRef] [PubMed]
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MDPI and ACS Style
Vogelgsang, S.; Musa, T.; Bänziger, I.; Kägi, A.; Bucheli, T.D.; Wettstein, F.E.; Pasquali, M.; Forrer, H.-R. Correction: S. Vogelgsang et al. Fusarium Mycotoxins in Swiss Wheat: A Survey of Growers’ Samples between 2007 and 2014 Shows Strong Year and Minor Geographic Effects. Toxins 2017, 9, 246. Toxins 2017, 9, 377. https://doi.org/10.3390/toxins9110377
AMA Style
Vogelgsang S, Musa T, Bänziger I, Kägi A, Bucheli TD, Wettstein FE, Pasquali M, Forrer H-R. Correction: S. Vogelgsang et al. Fusarium Mycotoxins in Swiss Wheat: A Survey of Growers’ Samples between 2007 and 2014 Shows Strong Year and Minor Geographic Effects. Toxins 2017, 9, 246. Toxins. 2017; 9(11):377. https://doi.org/10.3390/toxins9110377
Chicago/Turabian StyleVogelgsang, Susanne, Tomke Musa, Irene Bänziger, Andreas Kägi, Thomas D. Bucheli, Felix E. Wettstein, Matias Pasquali, and Hans-Rudolf Forrer. 2017. "Correction: S. Vogelgsang et al. Fusarium Mycotoxins in Swiss Wheat: A Survey of Growers’ Samples between 2007 and 2014 Shows Strong Year and Minor Geographic Effects. Toxins 2017, 9, 246" Toxins 9, no. 11: 377. https://doi.org/10.3390/toxins9110377
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