Next Article in Journal
Peptide Toxins in Solitary Wasp Venoms
Next Article in Special Issue
Identification of Pathogenic Fusarium spp. Causing Maize Ear Rot and Potential Mycotoxin Production in China
Previous Article in Journal
Detection of Enterotoxigenic Potential and Determination of Clonal Profile in Staphylococcus aureus and Coagulase-Negative Staphylococci Isolated from Bovine Subclinical Mastitis in Different Brazilian States
Previous Article in Special Issue
Natural Co-Occurrence of Mycotoxins in Foods and Feeds and Their in vitro Combined Toxicological Effects
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Toxins
Volume 8
Issue 4
10.3390/toxins8040112
toxins-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

The Response of Selected Triticum spp. Genotypes with Different Ploidy Levels to Head Blight Caused by Fusarium culmorum (W.G.Smith) Sacc.

by
Marian Wiwart
1,*,
Elżbieta Suchowilska
1,
Wolfang Kandler
2,
Michael Sulyok
2,
Urszula Wachowska
3 and
Rudolf Krska
2
1
Department of Plant Breeding and Seed Production, University of Warmia and Mazury in Olsztyn, pl. Łódzki 3, 10-727 Olsztyn, Poland
2
Center for Analytical Chemistry, Department for Agrobiotechnology (IFA-Tulln), University of Natural Resources and Life Sciences, Vienna (BOKU), Konrad Lorenz Str. 20, 3430-Tulln, Austria
3
Department of Entomology, Phytopathology and Molecular Diagnostics, University of Warmia and Mazury in Olsztyn, ul. Prawochenskiego 17, 10-721 Olsztyn, Poland
*
Author to whom correspondence should be addressed.
Toxins 2016, 8(4), 112; https://doi.org/10.3390/toxins8040112
Submission received: 11 February 2016 / Revised: 8 April 2016 / Accepted: 11 April 2016 / Published: 15 April 2016
(This article belongs to the Collection Fusarium Toxins – Relevance for Human and Animal Health)
Browse Figures
Versions Notes

Abstract

:
Several cultivars and pure lines of Triticum monococcum, T. dicoccon, T. polonicum, T. spelta and T. aestivum were inoculated with Fusarium culmorum, the causal agent of Fusarium head blight in wheat. During the three-year study, the infection decreased the values of the analyzed yield components: spike weight (by 5.6% to 15.8%), number of kernels per spike (by 2.8% to 11.8%) and one kernel weight (by 8.4% to 10.7%). T. spelta was characterized by the weakest average response to infection. The grain from inoculated spikes contained significantly higher concentrations of deoxynivalenol (DON) and its 3-β-d-glucoside (D3G) than control grain. The D3G/DON ratio ranged from 11.4% to 21.4% in control grain and from 8.1% to 11.6% in inoculated grain. The lowest levels of mycotoxins were found in spelt, and the highest in T. polonicum lines and Kamut. PCA revealed that the grain of T. polonicum was characterized by an entirely different mycotoxin profile. The weakest response to F. culmorum infections was noted in T. spelta, and the strongest response in T. polonicum breeding lines and Kamut.

Graphical Abstract

1. Introduction

Consumers have a growing interest in foods that offer high nutritional value and deliver health benefits. Breeders search for new, high-quality cereal cultivars that meet those requirements. The grain of such cultivars should be characterized by satisfactory processing suitability, high nutrient concentrations and low levels of antinutritional factors [1]. The progress in the cultivation of common wheat was achieved mainly in response to farmers’ demand for high-yielding varieties. Breeding for high yield in cereals is difficult because most of the yield-forming traits are inherited polygenically. Despite those problems, many wheat breeding programs have been successful around the world [2]. The grain of modern high-yielding wheat varieties is much less abundant in protein [3] and micronutrients in comparison with wheat cultivars grown decades ago [4]. Mycotoxins, in particular those produced by pathogens of the genus Fusarium, also pose a significant problem for breeders and food producers [5]. Although significant progress has been made in protecting wheat plants against Fusarium infections through chemical control [6,7], integrated plant protection methods [8] and the use of antagonistic organisms [9], the cultivation of resistant cultivars does not deliver satisfactory results. Grain infected by Fusarium pathogens is characterized by lower processing suitability [10] because starch endosperm is severely damaged by infections [11]. The rheological properties of flour are less desirable [12]. Wheat’s resistance to Fusarium head blight (FHB) is determined polygenically, which implies that wholly resistant (immune) varieties cannot be obtained [13]. The sources of resistance to FHB that are most commonly used in breeding, including cultivars Sumai-3 and Frontana [14,15], and the recently discovered genotypes of Asian origin [16], are characterized by several undesirable traits and have poor agronomical characteristics.
The limited number of effective sources of resistance against FHB pathogens in T. aestivum has prompted researchers to analyze other species that are closely related to common wheat. Diploid species such as Triticum monococcum L., tetraploid taxa of Triticum dicoccon Schrank, Triticum dicoccoides (Körn. ex Asch. et Graebner) Schweinf, Triticum polonicum L. and Triticum turanicum Jakubz., and the hexaploid Triticum spelta L. are generally characterized by high processing suitability and satisfactory nutritional value, and they constitute valuable initial material for quality [17,18] and resistance breeding [19]. Selected breeding lines of tetraploid wheat species are highly resistant to Fusarium pathogens and accumulate relatively low amounts of mycotoxins in grain [19,20,21]. The toxic effects of Fusarium pathogens, which can be attributed to their metabolites that belong to different chemical groups (mainly type A and B trichothecenes, fumonisins, zearalenone and its derivatives), have been widely investigated and described in literature [22,23].
The resistance of Triticum species other than common wheat to spike infections caused by Fusarium pathogens has been explored by relatively few studies [19,24,25,26], and only Triticum durum Desf. has been researched quite extensively [27,28,29,30]. A comprehensive analysis of a variety’s response to pathogens should involve evaluations of yield components and quality parameters of grain. The presence of mycotoxins should also be investigated.
The objective of this study was to evaluate the responses of 14 genotypes of five Triticum species characterized by different degrees of ploidy to spike infections caused by Fusarium culmorum (W.G.Smith) Sacc.

2. Results

2.1. Weather Conditions

Field experiments were carried out during three successive years of 2010, 2011 and 2012. Weather conditions (Figure 1) were of critical importance during spike inoculation and in early stages of kernel development (from late June to mid-July). In this respect, significant differences were noted between experimental years. The highest precipitation levels in the first half of July were noted in 2010 and 2012, in late June for 2010, and in mid-July for 2012. In 2012, the highest temperatures were reported between early July and the end of the growing season. Weather conditions were most favorable for spike infections in 2011 and 2012, and least favorable in 2010. Relatively low precipitation levels and high temperatures between late April and early July 2012 created unsupportive growth conditions for the drought-sensitive species T. aestivum and T. monococcum.

2.2. Yield Components

The average spike weight, number of kernels per spike and one kernel weight (OKW) of spikes inoculated with F. culmorum are presented in Table 1. F. culmorum infections decreased the values of the analyzed yield components, mostly OKW and spike weight. Both T. aestivum cultivars were characterized by a similar average decrease in spike weight and number of kernels per spike, which did not exceed 20% throughout the experimental period. The noted decrease in OKW values in inoculated spikes of cv. Sumai-3 (2.0%) was more than 12-fold lower than in cv. Torka (25.3%). Both breeding lines of T. polonicum and Kamut wheat responded to inoculation with a relatively high drop in the values of the analyzed traits (from 9.5% in OKW to 13.6% in spike weight). The lowest values of the above traits were noted in T. monococcum (32.6 mg and 0.9 g, respectively). The F-values produced by the analysis of variance (Table 2) point not only to significant variations (genotype—G, inoculation with pathogen—I, year of study—Y), but also to interactions between experimental factors. All interactions involving the number of kernels per spike and one kernel weight proved to be significant. The above indicates that the applied genotypes not only responded differently to inoculation (G × I) and were characterized by different values of both traits in successive years (G × Y), but that those responses differed in successive years (G × I × Y). Interestingly, G × I and G × Y interactions were not significant for spike weight. The average values of yield components were analyzed by PCA (Figure 2). The results indicate that the examined genotypes were characterized by significant intraspecific similarities in both control and inoculated treatments. The most distant clusters were observed for T. monococcum and T. polonicum. Significant similarities were observed between T. dicoccon lines and two cultivars of T. aestivum.

2.3. Mycotoxin Concentrations in Grain

The mycotoxin profile was more complex in 2011 (26 metabolites) than in 2010 (21 metabolites), but inoculation with F. culmorum led to a dramatic increase in the concentrations of type B trichothecenes, in particular deoxynivalenol (DON), deoxynivalenol-3-β-d-glucopyranoside (D3G) and 3-acetyl-deoxynivalenol (3-Ac DON), in both years (Table 3 and Table 4). In all wheat species except T. aestivum, the average DON concentrations in the grain of inoculated spikes were higher in the second than in the first year of the experiment, and more than a three-fold difference was observed in T. monococcum. A similar but weaker trend was noted in the concentrations of 3-AcDON. A very strong correlation was observed between DON and D3G levels, and the value of the correlation coefficient r reached 0.990 in the first year and 0.953 in the second year of the experiment. In both years, the highest mycotoxin levels were observed in both control and inoculated grain of T. polonicum. Interestingly, in addition to very high concentrations of type B trichothecenes and zearalenone (ZEA) produced by F. culmorum (52.6 × 103 and 56.1 × 103 μg kg−1 in inoculated grain, respectively, and 266 and 1451 μg kg−1 in the first and second year of the study, respectively), the grain of T. polonicum harvested from control spikes contained considerable amounts of moniliformin (MON) and hexadepsipeptides (3.7 × 103 μg kg−1 and 12.9 × 103 μg kg−1 in 2010, respectively). The grain of both T. polonicum breeding lines and Kamut wheat was also characterized by very high levels of aurofusarin AUF at 41.4 × 103 and 2.0 × 103 μg kg−1 in each year of the study, respectively, which were higher than in the grain harvested from the inoculated spikes of the remaining wheat genotypes. The average content of type B trichothecenes in total mycotoxin concentrations was similar in both years of the study in both inoculated grain (75.1% and 77.1%) and control grain (28.9% and 34.7%) (Table 5). The above results suggest that weather conditions significantly influenced mycotoxin concentrations in grain, but had a far less pronounced effect on the relationships between fungal metabolites. Precipitation levels and air temperature differed considerably between 2010 and 2011, in particular in the flowering stage, which affected not only the intensity of F. culmorum infections, but also the rate of grain colonization by fungi other than Fusarium species. In the group of the examined wheat species, the highest mycotoxin concentrations were noted in the grain of T. polonicum. In 2010, fungal metabolite levels in the control grain of Polish wheat were higher than in the grain of the remaining species harvested from inoculated spikes. In 2011, mycotoxin concentrations in T. polonicum and the remaining wheat species differed by two orders of magnitude. A comparison of T. polonicum and other wheat genotypes indicates that the content of type B trichothecenes in total concentrations of identified toxins was lowest in both control grain (0.6% and 14.8%) and inoculated grain (14.8% and 70%) of T. polonicum in both years of the study. A Principal Component Analysis PCA examining the concentrations of all identified mycotoxins revealed completely different fungal metabolite profiles in both T. polonicum breeding lines and Kamut wheat and a relatively strong response in cv. Torka, in particular in the first year of the experiment (Figure 3 and Figure 4). In both years of the study, the combined effect of PC1 and PC2 explained more than 79% of variance, which points to high discriminative power. Most importantly, PCA results were similar and comparable in both years.

3. Discussion

The responses of 14 diploid, tetraploid and hexaploid Triticum genotypes to inoculation with the F. culmorum pathogen were presented in this study. The analyzed cultivars (Torka, Nexon, Kamut, Bondka, Lamela, Terzino) are characterized by satisfactory distinctness, uniformity and stability as well as high variety value for cultivation and use, and Sumai-3 is used extensively as a major source of resistance to Fusarium head blight FHB.
The responses of wheat species other than T. aestivum and T. durum to inoculation with pathogens responsible for FHB have been insufficiently studied. The results noted in this study cannot be discussed in depth due to the lack of published data relating to other wheat genotypes. As expected, inoculation contributed to a significant decrease in the values of the three analyzed yield components (in particular OKW), and the variations noted in successive years of the experiment can be attributed to differences in weather conditions that determined the severity of spike infections and the progression of FHB [31]. In 2011, a minor increase in the number of kernels per spike and a simultaneous drop in OKW values were noted in hulled wheat, which can be attributed to low precipitation levels during inoculation and less supportive conditions for the development of infection. In the group of tested cultivars, T. spelta was characterized by the weakest average response to inoculation, which is consistent with the results of our previous studies [20]. Spelt’s relatively low susceptibility to infections caused by FHB pathogens could result from long culms and loose spikes which contribute to the lower moisture content of spikelets in comparison with varieties characterized by shorter culms and denser spikes [32]. The above hypothesis was indirectly validated by Mao et al. [33] who performed a meta-analysis of quantitative trait locus (QTL) and observed that the presence of Rht-B1, Rht-D1 and Rht8 dwarfing genes significantly increased susceptibility to FHB, although the above mechanism has not been fully explained.
Wild emmer (T. dicoccoides), which is closely related to emmer wheat, is an interesting genetic source that can be potentially used for breeding FHB-resistant cultivars [34]. Due to its genetic similarity to T. durum, wild emmer could be a good candidate for breeding research aiming to develop disease-resistant cultivars of durum wheat [35]. Our results indicate that the interactions between experimental factors were significant in many cases. The significance of G × I interactions could be attributed to differences in the resistance of the analyzed genotypes to the applied pathogen, which indicates that not all tested genotypes are highly suitable for resistance breeding. The significance of G × Y interactions for the number of grains per spike and one kernel weight is undesirable for breeding because it indicates that both traits are highly influenced by environmental factors. The discussed interaction was not significant for spike weight. The above observations could point to an absence of considerable fluctuations in the yield of the analyzed genotypes under various environmental conditions. However, yield can be influenced by differences in the number of kernels per spike and kernel plumpness.
Although mycotoxin concentrations in grain differed between experimental years, PCA results demonstrated that the analyzed Triticum species responded similarly to infection. Very high metabolite levels, in particular AUF and MON, were observed in the grain of T. polonicum, which suggests that T. polonicum responded completely differently to inoculation with F. culmorum or that the analyzed period was characterized by highly supportive conditions for the development of other Fusarium pathogens. Aurofusarin, a pigment belonging to the group of dimeric naphthoquinones, is produced by major FHB pathogens, including F. avenaceum, F. culmorum, F. graminearum, F. sporotrichioides and F. tricinctum [36]. This metabolite is toxic for poultry, in particular turkeys. Moniliformin, produced mainly by F. avenaceum, F. tricinctum, F. proliferatum and F. subglutinans, is an inhibitor of several thiamine pyrophosphate-dependent enzymes, glutathione peroxidase and reductase [37]. The lowest content of type B trichothecenes in total mycotoxin concentrations was noted in both control and inoculated grain of T. polonicum. The above results could indicate that T. polonicum is particularly susceptible to Fusarium pathogens that produce MON. T. polonicum is a threshable species (with naked grain, similar to common wheat) with long and broad spikelet glumes that can exceed 4 cm. This structural arrangement preserves the high moisture content of spikes and contributes to the development of filamentous fungi, including toxin-producing species. In both years of the study, the maximum level of DON in unprocessed cereals (1,250 μg kg−1) [38] was not exceeded in any of the control samples. The presence of D3G, a metabolite of DON, is associated with wheat’s response to FHB pathogens. According to Lemmens et al. [39], the ability of wheat lines to convert DON to D3G is linked to quantitative trait locus (QTL) Qfhs.ndsu-3BS that had been previously associated with FHB resistance. The presence of the Fhb1 gene linked to QTL Qfhs.ndsu-3BS decreases the severity of FHB symptoms and increases the D3G/DON ratio. D3G is characterized by significantly lower toxicity and metabolic activity than DON, but it is partially metabolized by enzymes in the mammalian digestive tract to release DON [40]. A similar process is observed with various intensity during grain fermentation in beer and bread production. The cited authors also noted that the D3G/DON ratio could be a measure of the immune response and the host’s ability to inactivate DON. According to their observations, the D3G/DON ratio can range from 46% to even 70%, although values approximating 20% have been reported in other studies. In our experiment, the average D3G/DON ratio ranged from 11.4% (2011) to 21.4% (2010) in control grain and from 8.1% (2011) to 11.6% (2010) in grain inoculated with F. culmorum. Interestingly, the lowest values (up to 9%) were observed in T. monococcum that responded strongly to inoculation. The relatively highest values (9.8% to 23%) were reported in T. spelta, which was characterized by the weakest average response to F. culmorum, and in T. polonicum (10.8% to 28.4%) which produced the strongest response to the pathogen. Our findings indicate that the host plant’s ability to produce D3G could be an important, but not the only, defense mechanism for fighting off infections caused by DON-producing pathogens of the genus Fusarium.

4. Conclusions

The results of this study demonstrate that spelt grain accumulates the lowest amounts of mycotoxins, in particular type B trichothecenes. The analyses of yield-forming traits revealed that spelt was characterized by the weakest response to infection. The strongest responses were noted in T. polonicum breeding lines and Kamut wheat, in particular with regard to mycotoxin concentrations in grain, and the above findings were validated by PCA results. PCA supported discrimination between the evaluated genotypes based on their yield-forming traits. Spelt constitutes valuable initial material for breeding new wheat lines characterized by increased resistance to spike infections caused by Fusarium pathogens.

5. Material and Methods

5.1. Material

The experimental material comprised 14 Triticum genotypes: two breeding lines and one cultivar of T. monococcum, two cultivars and one breeding line of T. dicoccon, two breeding lines and one cultivar of T. spelta, two breeding lines of T. polonicum, and Kamut wheat (Table 6). Two cultivars of T. aestivum were also evaluated: Torka, characterized by the highest processing suitability (classified in the group of elite wheat cultivars [41]), and Sumai-3, a widely recognized source of resistance to FHB and a reference cultivar (material obtained from the Nanjing Agricultural University, Nanjing, China). Breeding lines were selected from the extensive collection of the Department of Plant Breeding and Seed Production of the University of Warmia and Mazury in Olsztyn based on at least satisfactory agricultural suitability (yield, grain plumpness, earliness, low susceptibility to lodging). The isolate of F. culmorum I1 [42] was derived from naturally infected grain of spring wheat grown in northeastern Poland. Pathogenicity and toxin production were checked before the experiment. Species identity and chemotype were additionally confirmed by PCR assays in the Department of Entomology, Phytopathology and Molecular Diagnostics of the University of Warmia and Mazury in Olsztyn.
Genomic DNA was isolated with the use of hexadecyltrimethylammonium bromide (CTAB) [9]. The pathogen was identified to species level under a light microscope (Nikon E 200) based on their sporulation characteristics and the sequence of the ITS 1–5.8SrDNA–ITS 2 region. This fragment was amplified with the use of specific primers ITS5 (F) GTATCGGA CGGAGATCCAGC and ITS4 (R) TTGCTCAGTGCATTG TCGG [43] and the FailSafe PCR system (Epicentre). Chemotypes were differentiated by two primer pairs of TRI13DON F 5′-CATCATGAGACTACTTGTAGTTTGG-3′ and TRI13DONR 5′-GCTAGATCGATTGTTGCATTGAG-3′ as well as TRI13NIVF 5′-CCAAATCCGAAAACCGCA-3′ and TRI13NIVR 5′-TTGAAAGCTCCAATGTCGTG-3′ [44]. The applied isolate belongs to a DON-producing chemotype (synthesizes deoxynivalenol).

5.2. Field Experiment

The field experiment was established at the Experimental Station in Bałcyny near Ostróda, Poland (53°36′ N; 19°51′ E) in a slightly undulating area, on Luvisols formed from silty light loam. Local soils are characterized by suitable physicochemical parameters and organic matter content for wheat production. The experiment had a randomized block design with three replications. Plot area was 6 m2. Sowing density was 250 germinating kernels per m2 for hulled wheats, T. polonicum and Kamut, and 360 kernels per m2 for common wheat. NPK fertilizer was applied at the pre-sowing rate of 30–25–80 kg ha−1. Seeds were not dressed, and Chwastox Extra 300 SL (Organika-Sarzyna S.A., Nowa Sarzyna, Poland, active substance: MCPA, 300 g in 1 L of the product) was used for chemical weed control at 3 L ha−1.
Spikes were inoculated by spraying the experimental plots twice with an inoculum suspension of 500,000 conidia per mL in the full flowering stage (BBCH65) [45] at two-day intervals. The suspension was used at a dose of 100 mL per m2. Plants from untreated plots served as the control. In the fully ripe stage (BBCH 89), 30 randomly chosen spikes were harvested manually from each inoculated (I) and control (C) plot to measure the average weight of one spike, number of grains per spike and one kernel weight (OKW). Spikelets and grain were harvested with a plot harvester.

5.3. Determination of Mycotoxins in Grain

Mycotoxin concentrations in grain were determined according to the method described by Suchowilska et al. [20]. Each year, grain samples weighing approx. 1 kg harvested with a plot harvester were collected from each of the field replicates before being pooled into one bulk sample weighing approx. 500 g, which was further subdivided into subsamples. The subsamples of 10 g were ground to fine powder in a laboratory mill (Cullati MFC, Zürich, Switzerland). An amount of 0.5 g of ground sub-samples was extracted with 2 mL of the solvent mixture (acetonitrile/water/acetic acid, 79:20:1, v/v/v). Acetonitrile (LC gradient grade) was supplied by J.T. Baker (Deventer, The Netherlands) and glacial acetic acid (p.a.)—by Sigma-Aldrich (Vienna, Austria). Water was purified successively by reverse osmosis using the Milli-Q plus system from Millipore (Molsheim, France). The samples were extracted for 90 min using the GFL 3017 rotary shaker (GFL, Burgwedel, Germany) and centrifuged for 2 min at 3,000 rpm (15 cm radius) in the GS-6 centrifuge (Beckman Coulter Inc., Fullerton, CA, USA). After centrifugation, the extracts were transferred to glass vials using Pasteur pipettes. Following this, 350 μL aliquots were diluted with the same volume of the dilution mixture (acetonitrile/water/acetic acid, 20:79:1, v/v/v) and directly injected into the LC-MS/MS instrument. For the determination of DON concentrations higher than 500 μg L−1 (corresponding to 4 mg kg−1 in samples), the raw extract was diluted 1 + 49 (v + v).
Chromatographic separation was performed at 25 °C in the 1100 Series HPLC System (Agilent, Waldbronn, Germany) equipped with a C18 4 × 3 mm-i.d. security guard cartridge and the Gemini® C18 column, 150 × 4.6 mm i.d., 5 μm particle size (Phenomenex, Torrance, CA, USA). Detection and quantification were performed in the Selected Reaction Monitoring (SRM) mode using the QTrap 4000 LC-MS/MS System (Applied Biosystems, Foster City, CA, USA) equipped with a TurboIonSpray electrospray ionization (ESI) source.
For quantification, external calibration was performed using multi-analyte standards prepared and diluted in a 1:1 mixture of extraction and dilution solvent. The results were adjusted for apparent recoveries, which were determined by analyzing a blank wheat sample that had been spiked at one concentration level in triplicate. The relevant values of analytes in the investigated Triticum samples were generally in the range of 100% ± 10%, with the exception of D3G (47%), NIV (82%), AOH (69%), AME (69%) β–ZOL (76%).

5.4. Statistical Analysis

The results of all measurements and analyses were processed statistically using STATISTICA software (V. 10, StatSoft, Tulsa, OK, USA, 2011) [46]. Normal distribution was checked in the Kolmogorov-Smirnov test, the significance of differences between means was estimated by analysis of variance, and mean values were compared by the Student-Newman-Keuls (SNK) test at p < 0.01 or p < 0.05. The PCA was performed for two sets of traits: yield components and mycotoxin concentrations.

Supplementary Material

The following are available online at www.mdpi.com/2072-6651/8/4/112/s1, Table S1: Factor loading values based on the correlation between the PC and variable and contribution of variables (in brackets, in percent) for the mycotoxin concentration in grain of examined wheat genotypes in two years of experiment.

Acknowledgments

This work was supported by the National Centre of Sciences Poland, Project No. 0882/B/P01/2009/37 and Ministry of Science and Higher Education, Poland and Federal Ministry of Science and Research, Austria, Österr.-Poln. AG für WTZ, 5/2013.

Author Contributions

M.W. and E.S. conceived and designed the experiments; W.K., M.S. and R.K. performed the chemical and chromatographic analyses; U.W. performed phytopathological and molecular analyses; M.W., E.S., and W.K. wrote the paper.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

The following abbreviations are used in this manuscript:
FHBFusarium head blight
OKWone kernel weight
PCAprincipal component analysis
d.m.dry matter
DONdeoxynivalenol
D3Gdeoxynivalenol-3-β-d-glucopyranoside
NIVnivalenol
3-AcDON3-acetyl-deoxynivalenol
Deepoxy-DONde-epoxy-deoxynivalenol
ZEAzearalenone
ZEA-4sulfate-zearalenone 4-sulfate
MONmoniliformin
AOHalternariol
AMEalternariol monomethyl ether
AUFaurofusarin
BUTbutenolide

References

  1. Ward, J.L.; Poutanen, K.; Gebruers, K.; Piironen, V.; Lampi, A.-M.; Nyström, L.; Andersson, A.A.M.; Åman, P.; Boros, D.; Rakszegi, M.; et al. The HEALTHGRAIN cereal diversity screen: Concept, results, and prospects. J. Agric. Food Chem. 2008, 56, 9699–9709. [Google Scholar] [CrossRef] [PubMed]
  2. Fischer, R.A.; Edmeades, G.O. Breeding and cereal yield progress. Crop Sci. 2010, 50, S85–S98. [Google Scholar] [CrossRef]
  3. Shewry, P.R.; D’Ovidio, R.; Lafiandra, D.; Jenkins, J.A. Wheat grain proteins. In Wheat: Chemistry and Technology, 4th ed.; Khan, P.K., Shewry, P., Eds.; AACC International: St. Paul, MN, USA, 2009; pp. 223–298. [Google Scholar]
  4. Fan, M.S.; Zhao, F.J.; Fairweather-Tait, S.J.; Poulton, P.R.; Dunham, S.J.; McGrath, S.P. Evidence of decreasing mineral density in wheat grain over the last 160 years. J. Trace Elem. Med. Biol. 2008, 22, 315–324. [Google Scholar] [CrossRef] [PubMed]
  5. Stępień, Ł.; Chełkowski, J. Fusarium head blight of wheat: Pathogenic species and their mycotoxins. World Mycotoxin J. 2010, 3, 107–119. [Google Scholar] [CrossRef]
  6. Gromadzka, K.; Lenc, L.; Sadowski, C.; Baturo-Ciesniewska, A.; Chełkowski, J.; Goliński, P.; Bocianowski, J. Effects of fungicidal protection programs on the development of Fusarium head blight and the accumulation of mycotoxins in winter wheat. Cereal Res. Commun. 2012, 40, 518–531. [Google Scholar] [CrossRef]
  7. Menniti, A.M.; Pancaldi, D.; Maccaferri, M.; Casalini, L. Effect of fungicides on Fusarium head blight and deoxynivalenol content in durum wheat grain. Eur. J. Plant Pathol. 2003, 109, 109–115. [Google Scholar] [CrossRef]
  8. Blandino, M.; Haidukowski, M.; Pascale, M.; Plizzari, L.; Scudellari, D.; Reyneri, A. Integrated strategies for the control of Fusarium head blight and deoxynivalenol contamination in winter wheat. Field Crops Res. 2012, 133, 139–149. [Google Scholar] [CrossRef]
  9. Wachowska, U.; Kucharska, K.; Jędryczka, M.; Lobik, N. Microorganisms as biological control agents against Fusarium pathogens in winter wheat. Pol. J. Environ. Stud. 2013, 22, 591–597. [Google Scholar]
  10. Gärtner, B.H.; Munich, M.; Kleijer, G.; Mascher, F. Characterisation of kernel resistance against Fusarium infection in spring wheat by baking quality and mycotoxin assessments. Eur. J. Plant Pathol. 2008, 120, 61–68. [Google Scholar] [CrossRef]
  11. Jackowiak, H.; Packa, D.; Wiwart, M.; Perkowski, J. Scanning electron microscopy of Fusarium damaged kernels of spring wheat. Int. J. Food Microbiol. 2005, 98, 113–123. [Google Scholar] [CrossRef] [PubMed]
  12. Papoušková, L.; Capouchová, I.; Kostelanská, M.; Škeříkova, A.; Prokinová, E.; Hajšlová, J.; Salava, J.; Faměra, O. Changes in baking quality of winter wheat with different intensity of Fusarium spp. contamination detected by means of new rheological system mixolab. Czech J. Food Sci. 2011, 29, 420–429. [Google Scholar]
  13. Buerstmayr, H.; Ban, T.; Anderson, J.A. QTL mapping and marker-assisted selection for Fusarium head blight resistance in wheat: A review. Plant Breed. 2009, 128, 1–26. [Google Scholar] [CrossRef]
  14. Zhou, W.-C.; Kolb, F.L.; Bai, G.-H.; Domier, L.L.; Yao, J.-B. Effect of individual Sumai 3 chromosomes on resistance to scab spread within spikes and deoxynivalenol accumulation within kernels in wheat. Hereditas 2002, 137, 81–89. [Google Scholar] [CrossRef] [PubMed]
  15. Steiner, B.; Lemmens, M.; Griesser, M.; Scholz, U.; Schondelmaier, J.; Buerstmayr, H. Molecular mapping of resistance to Fusarium head blight in the spring wheat cultivar Frontana. Theor. Appl. Genet. 2004, 109, 215–224. [Google Scholar] [CrossRef] [PubMed]
  16. Yu, J.-B.; Bai, G.-H.; Cai, S.-B.; Dong, Y.-H.; Ban, T. New Fusarium head blight-resistant sources from Asian wheat germplasm. Crop Sci. 2008, 48, 1090–1097. [Google Scholar] [CrossRef]
  17. Konvalina, P.; Capouchová, I.; Stehno, Z. Agronomically important traits of emmer wheat. Plant Soil Environ. 2012, 58, 341–346. [Google Scholar]
  18. Abdel-Aal, E.-S.M.; Hucl, P.; Sosulski, F.W. Compositional and nutritional characteristics of spring einkorn and spelt wheats. Cereal Chem. 1995, 72, 621–624. [Google Scholar]
  19. Oliver, R.E.; Cai, X.; Friesen, T.L.; Halley, S.; Stack, R.W.; Xu, S.S. Evaluation of Fusarium head blight resistance in tetraploid wheat (Triticum turgidum L.). Crop Sci. 2008, 48, 213–222. [Google Scholar] [CrossRef]
  20. Suchowilska, E.; Kandler, W.; Sulyok, M.; Wiwart, M.; Krska, R. Mycotoxin profiles in the grain of Triticum monococcum, Triticum dicoccum and Triticum spelta after head infection with Fusarium culmorum. J. Sci. Food Agric. 2010, 90, 556–565. [Google Scholar] [PubMed]
  21. Garvin, F.D.; Stack, R.W.; Hansen, J.M. Quantitative trait locus mapping of increased Fusarium head blight susceptibility associated with a wild emmer wheat chromosome. Phytopathology 2009, 99, 447–452. [Google Scholar] [CrossRef] [PubMed]
  22. Richard, J.L. Some major mycotoxins and their mycotoxicoses—An overview. Int. J. Food Microbiol. 2007, 119, 3–10. [Google Scholar] [CrossRef] [PubMed]
  23. Cortinovis, C.; Pizzo, F.; Spicer, L.J.; Caloni, F. Fusarium mycotoxins: Effects on reproductive function in domestic animals—A review. Theriogenology 2013, 80, 557–564. [Google Scholar] [CrossRef] [PubMed]
  24. Eggert, K.; Wieser, H.; Pawelzik, E. The influence of Fusarium infection and growing location on the quantitative protein composition of (part I) emmer (Triticum dicoccum). Eur. Food Res. Technol. 2010, 230, 837–847. [Google Scholar] [CrossRef]
  25. Kopahnke, D.; Miedaner, T.; Brunsbach, G.; Lind, V.; Schliephake, E.; Ordon, F. Screening of Triticum monococcum and T. dicoccum for resistance to Fusarium. Cereal Res. Commun. 2008, 36, 109–111. [Google Scholar]
  26. Buerstmayr, H.; Stierschneider, M.; Steiner, B.; Lemmens, M.; Griesser, M.; Nevo, E.; Fahima, T. Variation for resistance to head blight caused by Fusarium graminearum in wild emmer (Triticum dicoccoides) originating from Israel. Euphytica 2003, 130, 17–23. [Google Scholar] [CrossRef]
  27. Prat, N.; Buerstmayr, M.; Steiner, B.; Robert, O.; Buerstmayr, H. Current knowledge on resistance to Fusarium head blight in tetraploid wheat. Mol. Breed. 2014, 34, 1689–1699. [Google Scholar] [CrossRef]
  28. Miedaner, T.; Longin, C.F.H. Genetic variation for resistance to Fusarium head blight in winter durum material. Crop Pasture Sci. 2014, 65, 46–51. [Google Scholar] [CrossRef]
  29. Talas, F.; Longin, F.; Miedaner, T. Sources of resistance to Fusarium head blight within Syrian durum wheat landraces. Plant Breed. 2011, 130, 398–400. [Google Scholar] [CrossRef]
  30. Stack, R.W.; Elias, E.M.; Mitchell Fetch, J.; Miller, J.D.; Joppa, L.R. Fusarium head blight reaction of Langdon durum-Triticum dicoccoides chromosome substitution lines. Crop Sci. 2002, 42, 637–642. [Google Scholar] [CrossRef]
  31. Osborne, L.E.; Stein, J.M. Epidemiology of Fusarium head blight on small-grain cereals. Int. J. Food Microbiol. 2007, 119, 103–108. [Google Scholar] [CrossRef] [PubMed]
  32. van Bueren, E.T.L.; Struik, P.C.; Jacobsen, E. Ecological concepts in organic farming and their consequences for an organic crop ideotype. Neth. J. Agric. Sci. 2002, 50, 1–26. [Google Scholar]
  33. Mao, S.-L.; Wie, Y.-M.; Cao, W.; Lan, X.-J.; Yu, M.; Chen, Z.-M.; Chen, G.-Y.; Zheng, Y.-L. Confirmation of the relationship between plant height and Fusarium head blight resistance in wheat (Triticum aestivum L.) by QTL meta-analysis. Euphytica 2010, 174, 343–356. [Google Scholar] [CrossRef]
  34. Otto, C.D.; Kianian, S.F.; Elias, E.M.; Stack, R.W.; Joppa, L.R. Genetic dissection of a major Fusarium head blight QTL in tetraploid wheat. Plant Mol. Biol. 2002, 48, 625–632. [Google Scholar] [CrossRef] [PubMed]
  35. Chen, X.; Faris, J.D.; Hu, J.; Stack, R.W.; Adhikari, T.; Elias, E.M.; Kianian, S.F.; Cai, X. Saturation and comparative mapping of a major Fusarium head blight resistance QTL in tetraploid wheat. Mol. Breed. 2007, 19, 113–124. [Google Scholar] [CrossRef]
  36. Andersen, B.; Thrane, U. Food-borne fungi in fruit and cereals and their production of mycotoxins. In Advances in Food Mycology; Hocking, A.D., Pitt, J.I., Samson, R.A., Thrane, U., Eds.; Springer Science + Business Media: New York, NY, USA, 2006; pp. 137–152. [Google Scholar]
  37. Marin, S.; Ramos, A.J.; Cano-Sancho, G.; Sanchis, V. Mycotoxins: Occurrence, toxicology, and exposure assessment. Food Chem. Toxicol. 2013, 60, 218–237. [Google Scholar] [CrossRef] [PubMed]
  38. European Commission. Commission Regulation (EC) No 1126/2007 of 28 September 2007 amending Regulation (EC) No 1881/2006 setting maximum levels for certain contaminants in foodstuffs as regards Fusarium toxins in maize and maize products. Off. J. Eur. Union 2007, 50, 14–17. [Google Scholar]
  39. Lemmens, M.; Scholz, U.; Berthiller, F.; Dall’Asta, C.; Koutnik, A.; Schuhmacher, R.; Adam, G.; Buerstmayr, H.; Mesterházy, A.; Krska, R.; et al. The ability to detoxify the mycotoxin deoxynivalenol colocalizes with a major QTL for Fusarium head blight resistance in wheat. Mol. Plant Microbe Interact. 2005, 18, 1318–1324. [Google Scholar] [CrossRef] [PubMed]
  40. Berthiller, F.; Crews, C.; Dall’Asta, C.; de Saeger, S.; Haesaert, G.; Karlovsky, P.; Oswald, I.P.; Seefelder, W.; Speijers, G.; Stroka, J. Masked mycotoxins: A review. Mol. Nutr. Food Res. 2013, 57, 165–186. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  41. Gacek, E.S. List of Agriculture Cultivars; Research Center for Cultivar Testing: Słupia Wielka, Poland, 2015. [Google Scholar]
  42. Leslie, J.F.; Summerrell, B.A. The Fusarium Laboratory Manual; Blackwell Publishing: Oxford, UK, 2006; p. 388. [Google Scholar]
  43. White, T.J.; Bruns, T.; Lee, S.; Taylor, J.W. Amplification and direct sequencing of fungal ribosomal RNA genes for phylogenetics. In PCR Protocols: A Guide to Methods and Applications; Innis, M.A., Gelfand, D.H., Sninsky, J.J., White, T.J., Eds.; Academic Press, Inc.: New York, NY, USA, 1990; pp. 315–322. [Google Scholar]
  44. Stępień, Ł.; Popiel, D.; Koczyk, G.; Chełkowski, J. Wheat-infecting Fusarium species in Poland—Their chemotypes and frequencies revealed by PCR assay. J. Appl. Genet. 2008, 49, 433–441. [Google Scholar] [CrossRef] [PubMed]
  45. Witzenberger, A.; Hack, H.; van den Boom, T. Erläuterungen zum BBCH-Dezimal-Code für die Entwicklungsstadien des Getreides—Mit Abbildungen. Gesunde Pflanz. 1989, 41, 384–388. (In German) [Google Scholar]
  46. StatSoft, Inc. STATISTICA (Data Analysis Software System), Version 10, 2011. Available online: http://www.statsoft.com (accessed on 3 February 2016).
Toxins 08 00112 g001 1024
Figure 1. Precipitation and average temperatures in growing seasons of 2010, 2011, and 2012 in the experimental station in Bałcyny.
Figure 1. Precipitation and average temperatures in growing seasons of 2010, 2011, and 2012 in the experimental station in Bałcyny.
Toxins 08 00112 g001
Toxins 08 00112 g002 1024
Figure 2. Principal Component Analysis (PCA) results for three biometric parameters of the examined Triticum genotypes (mean values for three years). Factor loading values based on the correlations between the Principal Component (PC) (PC1 and PC2, respectively) and spike weight, number of kernels per spike, and one kernel weight are equal: −0.992 and 0.024, −0.665 and−0.743 ,and −0.806 and 0.584, respectively.
Figure 2. Principal Component Analysis (PCA) results for three biometric parameters of the examined Triticum genotypes (mean values for three years). Factor loading values based on the correlations between the Principal Component (PC) (PC1 and PC2, respectively) and spike weight, number of kernels per spike, and one kernel weight are equal: −0.992 and 0.024, −0.665 and−0.743 ,and −0.806 and 0.584, respectively.
Toxins 08 00112 g002
Toxins 08 00112 g003 1024
Figure 3. PCA results for mycotoxin concentrations in the grain of Triticum genotypes analyzed in 2010. Factor loading values based on the correlation between the Principal Component (PC) and variable (mycotoxin) and contribution of variables are given in Table S1.
Figure 3. PCA results for mycotoxin concentrations in the grain of Triticum genotypes analyzed in 2010. Factor loading values based on the correlation between the Principal Component (PC) and variable (mycotoxin) and contribution of variables are given in Table S1.
Toxins 08 00112 g003
Toxins 08 00112 g004 1024
Figure 4. PCA results for mycotoxin concentrations in the grain of Triticum genotypes analyzed in 2011. Factor loading values based on the correlation between the Principal Component (PC) and variable (mycotoxin) and contribution of variables are given in Table S1.
Figure 4. PCA results for mycotoxin concentrations in the grain of Triticum genotypes analyzed in 2011. Factor loading values based on the correlation between the Principal Component (PC) and variable (mycotoxin) and contribution of variables are given in Table S1.
Toxins 08 00112 g004
Table
Table 1. The values of three yield components of five Triticum sp. taxa inoculated with F. culmorum in each year of the experiment (2010–2012).
Table 1. The values of three yield components of five Triticum sp. taxa inoculated with F. culmorum in each year of the experiment (2010–2012).
SpeciesTreatmentWeight of One Spike (g)Number of Kernels per SpikeOne Kernel Weight (mg)
201020112012201020112012201020112012
T. monococcumC0.90.90.919.720.614.330.029.338.6
I0.90.80.817.220.610.528.425.335.0
1 − (I/C) (%)011.111.112.7026.65.313.79.3
T. dicocconC1.71.91.932.938.425.331.833.647.9
I1.61.81.530.139.721.131.930.241.1
1 − (I/C) (%)5.95.321.18.5−3.416.6−0.310.114.2
T. speltaC2.31.91.831.433.122.144.840.257.2
I2.11.91.728.534.122.440.537.255.0
1 − (I/C) (%)8.705.69.2−3.0−1.49.67.53.8
T. polonicumC1.82.32.521.229.320.950.154.672.9
I1.52.12.315.427.121.643.548.369.1
1 − (I/C) (%)16.78.78.027.47.5−3.313.211.55.2
T. aestivumC1.62.02.334.341.130.635.938.456.5
I1.31.61.931.635.428.628.133.949.8
1 − (I/C) (%)18.820.017.47.913.96.521.711.711.9
C—control; I—inoculation.
Table
Table 2. The F-values (with two degrees of freedom) and the relevant probability values (p) for the weight of one spike, number of kernels per spike, and one kernel weight in three years of the experiment (2010–2012) under head inoculation with F. culmorum.
Table 2. The F-values (with two degrees of freedom) and the relevant probability values (p) for the weight of one spike, number of kernels per spike, and one kernel weight in three years of the experiment (2010–2012) under head inoculation with F. culmorum.
Source of VariationWeight of One Spike (g)Number of Kernels per SpikeOne Kernel Weight (mg)
Genotype (G)F (13, 168) = 30.4, p < 0.00001F (13, 168) = 2,085.2, p < 0.00001F (13, 168) = 4,497, p < 0.00001
Inoculation (I)F (1, 168) = 3.8, p = 0.04925F (1, 168) = 785.7, p < 0.00001F (1, 168) = 307, p < 0.00001
Year (Y)F (2, 168) = 1.1, NSF (2, 168) = 6,389.4, p < 0.00001F (2, 168) = 1,893, p < 0.00001
G × IF (13, 168) = 0.29, NSF (13, 168) = 38.7, p < 0.00001F (13, 168) = 24, p < 0.00001
G × YF (26, 168) = 0.79, NSF (26, 168) = 183.2, p < 0.00001F (26, 168) = 78, p < 0.00001
I × YF (2, 168) = 9.2, p = 0.0002F (2, 168) = 164.8, p < 0.00001F (2, 168) = 17,085, p < 0.00001
G × I × YF (26, 168) = 3.4, p < 0.00001F (26, 168) = 49.0, p < 0.00001F (26, 168) = 292, p < 0.00001
NS—not significant.
Table
Table 3. Mean toxin concentrations (μg∙kg−1) in the grain of five examined Triticum species in 2010. Limits of detection (LODs) are given in brackets. If the toxin concentration in a sample was below the LOD, then half of the LOD was used for calculation; †—sum of enniatins (A, A1, A2, B, B1, B2, B3) and beauvericin; #>LOD—number of samples > LOD.
Table 3. Mean toxin concentrations (μg∙kg−1) in the grain of five examined Triticum species in 2010. Limits of detection (LODs) are given in brackets. If the toxin concentration in a sample was below the LOD, then half of the LOD was used for calculation; †—sum of enniatins (A, A1, A2, B, B1, B2, B3) and beauvericin; #>LOD—number of samples > LOD.
SpeciesTreatmentMeasureDON (8)D-3G (1)3-Ac DON (2)Deepoxy-DON (15)NIV (5)ZEA (2)ZEA-4 Sulfate (1)MON (20)Apicidin (0.04)Tentoxin (0.2)AOH (30)AME (0.8)AUF (24)Hexadepsipeptides †
T. monococcumCmean<LOD<LOD<LOD<LOD9<LOD<LOD59<LOD<LOD<LOD<LOD<LOD184
RSD (%)100120100
#>LOD11-
Imean9.7 × 1030.9 × 10333431157343<LOD2<LOD<LOD1.1 × 10386
RSD (%)67507410710811161101324030
#>LOD3331332223-
T. dicocconCmean24832<LOD<LOD6<LOD<LOD140.10.4<LOD<LOD<LOD76
RSD (%)859610151130133123
#>LOD331111-
Imean10.8 × 1030.9 × 103251<LOD1153<LOD0.4<LOD<LOD<LOD1.8 × 10340
RSD (%)65745211365801657625
#>LOD33323213-
T. speltaCmean13531<LOD<LOD<LOD<LOD<LOD20<LOD1.7<LOD<LOD<LOD150
RSD (%)1681708897126
#>LOD1112-
Imean7.0 × 1031.4 × 103186<LOD129227<LOD2<LOD<LOD1.7 × 10383
RSD (%)4524534714388259911789
#>LOD333322312-
T. polonicumCmean22564<LOD<LOD551<LOD3.7 × 10328.20.4<LOD<LOD41.4 × 10312.9 × 103
RSD (%)128158864332911306541
#>LOD32213313-
Imean52.6 × 1035.7 × 1035942614342661571.5 × 10335232773.4 × 1033.4 × 103
RSD (%)7334938813139385884155601713864
#>LOD3333333332113-
T. aestivumCmean<LOD<LOD<LOD<LOD7<LOD<LOD931.33.7<LOD<LOD<LOD71
RSD (%)94126107138101
#>LOD1121-
Imean35.8 × 1033.4 × 1032.2 × 10316530524732648.00.9<LOD<LOD15.1 × 103121
RSD (%)1281061381351311341375414112613581
#>LOD22212222112-
RSD—relative standard deviation; C, I—control and inoculated objects; toxin abbreviations—refer to the “Abbreviations” section.
Table
Table 4. Mean toxin concentrations (μg∙kg−1) in the grain of five examined Triticum species in 2011. All explanations and designations as in Table 3.
Table 4. Mean toxin concentrations (μg∙kg−1) in the grain of five examined Triticum species in 2011. All explanations and designations as in Table 3.
SpeciesTreatmnetMeasureDOND-3G3-Ac DONBUTNIVZEAZEA-4 SulfateMONApicidinEquisetinEmodinTentoxinCulmorin15-Hydroxy-Culmorin5-Hydroxy-CulmorinAUFChlamydo- sporolAvenacein YHexadepsi-peptides
(8)(1)(2)(25)(5)(2)(1)(20)(0.04)(5)(0.50)(0.2)(10)(10)(30)(24)(1.5)(15)-
T. monococcumCMean0.26 × 10310<LOD<LOD<LOD<LOD<LOD675.92120.61128<LOD379<LOD164
RSD (%)36113779124152735030228256
#>LOD33332122333-
Imean30.1 × 1031.3 × 103245246933121171226.933140.71,4092,0565383.7 × 10312<LOD245
RSD (%)141129441141235510067139832431733916395
#>LOD33333333332233331-
T. dicoccumCmean0.52 × 10330<LOD<LOD<LOD<LOD<LOD161.1<LOD80.712<LOD<LOD64<LOD<LOD65
RSD (%)941356764168571007273
#>LOD33131312-
Imean20.5 × 1031.1 × 10321776912213234.22320.54189321530.8 × 103<LOD<LOD36
RSD (%)54404068377935981794144766849513694
#>LOD3333-33132123333-
T. speltaCmean769<LOD<LOD<LOD<LOD<LOD305.12030.6<LOD<LOD<LOD713<LOD100
RSD (%)11290717613488733812954
#>LOD332322231-
Imean9.2 × 1030.9 × 1031417554263332.1342<LOD3276091360.9 × 1033<LOD62
RSD (%)372345207047756680841442344505313154
#>LOD3333132232133331-
T. polonicumCmean1.5 × 1030.1 × 103<LOD23342321150714.3275821.637<LOD<LOD2.0 × 1031481,5633,570
RSD (%)1544856513710882108150115934782762372
#>LOD332321333323323-
Imean56.1 × 1034.8 × 1033424,1681211,45110385337.3499201.21,8754,6759099.0 × 1031104792,045
RSD (%)25181550542834485588643645494529424253
#>LOD333333333233333333-
T. aestivumCmean0.1 × 10329<LOD<LOD<LOD<LOD<LOD531.325121.111<LOD<LOD5611<LOD176
RSD (%)3110197413812377911113273
#>LOD2222212111-
Imean10.5 × 1031.3 × 103189888141045354.221100.53099943460.7 × 1037263183
RSD (%)865098511966281012710018110928912235126137119
#>LOD222222222222222211-
Table
Table 5. Mean toxin concentration (μg kg−1) in the grain of the examined Triticum species in 2010 and 2011.
Table 5. Mean toxin concentration (μg kg−1) in the grain of the examined Triticum species in 2010 and 2011.
YearTreatment20102011
Species Σ ToxIncludingTrich. B/Σ Tox (%)Σ ToxIncludingTrich. B/Σ Tox (%)
Trich. BotherTrich. Bother
T. monococcumC275252509.165927738242.1
I14.1 × 10312.8 × 1031.2 × 10391.142.4 × 10331.7 × 10310.7 × 10374.7
T. dicocconC40730010773.778555722871.0
I13.9 × 10312.0 × 1031.9 × 10386.425.1 × 10321.9 × 1033.2 × 10387.3
T. speltaC36818218649.53668727923.9
I10.5 × 1038.7 × 1031.8 × 10382.713.1 × 10310.3 × 1032.9 × 10378.1
T. polonicumC58.4 × 10335758.0 × 1030.611.2 × 1031,6609,54714.8
I13.8 × 10459.6 × 10378.8 × 10343.187.6 × 10361.4 × 10326.3 × 10370.0
T. aestivumC2102518411.977816960921.8
I57.5 × 10341.8 × 10315.6 × 10372.815.9 × 10312.0 × 1033.9 × 10375.6
MeanC11.9 × 10317811.7 × 10328.92.8 × 1035502,20934.7
I 57.3 × 10324.7 × 10332.6 × 10375.136.8 × 10327.5 × 1039.4 × 10377.1
Σ Tox—sum of all detected mycotoxins; Trich. B—group B trichothecenes.
Table
Table 6. Genotypes of Triticum sp. examined in the experiment.
Table 6. Genotypes of Triticum sp. examined in the experiment.
SpeciesLine/CultivarOrigin
T. monococcumK-1National Centre for Plant Genetic Resources, Radzików, Poland
K-6National Centre for Plant Genetic Resources, Radzików, Poland
cv. TerzinoGetreidezüchtung Karl Josef Müller, Darzau, Germany
T. dicocconcv. LamelaDepartment of Plant Breeding and Seed Production, University of Warmia and Mazury in Olsztyn, Poland
cv. BondkaDepartment of Plant Breeding and Seed Production, University of Warmia and Mazury in Olsztyn, Poland
P-3National Germplasm Resources Laboratory, USA
T. speltaK-20Leibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung, Gatersleben, Germany
UWM-13Breeding strain from the Department of Plant Breeding and Seed Production, University of Warmia and Mazury in Olsztyn, Poland
cv. NexonUniversity of Saskatchewan, Canada
T. polonicumPol-11National Germplasm Resources Laboratory, USA
Pol-19National Germplasm Resources Laboratory, USA
cv. Kamut *Kamut International Ltd., USA
T. aestivumcv. TorkaPlant Breeding Strzelce Ltd., Poland
cv. Sumai-3Nanjing Agricultural University, China
* Kamut is classified as T. turgidum ssp. turanicum, a close relative of T. turgidum ssp. polonicum. Sowing material supplied by Kamut Int. Ltd., was purchased in a supermarket in Austria.

Share and Cite

MDPI and ACS Style

Wiwart, M.; Suchowilska, E.; Kandler, W.; Sulyok, M.; Wachowska, U.; Krska, R. The Response of Selected Triticum spp. Genotypes with Different Ploidy Levels to Head Blight Caused by Fusarium culmorum (W.G.Smith) Sacc. Toxins 2016, 8, 112. https://doi.org/10.3390/toxins8040112

AMA Style

Wiwart M, Suchowilska E, Kandler W, Sulyok M, Wachowska U, Krska R. The Response of Selected Triticum spp. Genotypes with Different Ploidy Levels to Head Blight Caused by Fusarium culmorum (W.G.Smith) Sacc. Toxins. 2016; 8(4):112. https://doi.org/10.3390/toxins8040112

Chicago/Turabian Style

Wiwart, Marian, Elżbieta Suchowilska, Wolfang Kandler, Michael Sulyok, Urszula Wachowska, and Rudolf Krska. 2016. "The Response of Selected Triticum spp. Genotypes with Different Ploidy Levels to Head Blight Caused by Fusarium culmorum (W.G.Smith) Sacc." Toxins 8, no. 4: 112. https://doi.org/10.3390/toxins8040112

APA Style

Wiwart, M., Suchowilska, E., Kandler, W., Sulyok, M., Wachowska, U., & Krska, R. (2016). The Response of Selected Triticum spp. Genotypes with Different Ploidy Levels to Head Blight Caused by Fusarium culmorum (W.G.Smith) Sacc. Toxins, 8(4), 112. https://doi.org/10.3390/toxins8040112

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop