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Effect of Environmental Factors on Fusarium Species and Associated Mycotoxins in Maize Grain Grown in Poland

Abstract

Maize is one of the most important crops and Poland is the fifth largest producing country in Europe. Diseases caused by Fusarium spp. can affect the yield and grain quality of maize because of contamination with numerous mycotoxins produced by these fungi. The present study was performed to identify the prevailing Fusarium species and the environmental factors affecting their frequencies and the contamination of grain with the main mycotoxins deoxynivalenol (DON), zearalenone (ZON) and fumonisin B1 (FB1). Thirty kernel samples were collected in three locations in 2011 and in seven locations in 2012 from three hybrids. On average, 25.24% kernels were colonized by Fusarium spp. (424 strains were isolated). Fusarium verticillioides and F. temperatum were the most prevalent species, F. subglutinans, F. proliferatum and F. graminearum were in minor abundance. In total, 272 isolates of F. verticillioides and 81 isolates of F. temperatum were identified. Fusarium temperatum frequency ranged from 1.70% to 28.57% and differences between locations were significant. Fumonisin B1 was found in all tested samples. DON was found in 66.67% and ZON in 43.33% of samples. Rainfall amount positively affected F. temperatum and F. subglutinans frequency in opposite to mean temperatures in July. On the other hand, relationships between frequency of these species and historical data from 1950–2000 for annual temperature range were negative in contrast to the coldest quarter temperatures.

Introduction

Maize is one of the most important crops worldwide and in Europe Poland is the fifth producing country (520 thousand ha for silage and 534 thousand ha for grain in 2012), with an increasing trend towards more production. Maize grain has similar feed value to wheat grain and is much cheaper.

Red and pink ear rots caused by Fusarium spp. are important factors affecting the yield and quality of maize grain, mainly because of its contamination with mycotoxins produced by these fungi. An important part of effective crop protection strategy is monitoring the Fusarium species associated with maize as well as with the specific environment. In Poland the large, central lowlands are quite flat and narrow in the West, while expanding to the North and South. Recently, the frequency of some Fusarium spp. occurrence has shown a tendency to increase in various European countries, including Poland [1]. This tendency is probably related to warmer climate and conservation tillage techniques combined with maize- and wheat-dominated crop rotation systems increasingly practised in these regions [2]. Residues of maize remaining on the soil surface promote the survival of fungal pathogens as well as that of European corn borer larvae, which may enhance the risk of ear infection with Fusarium spp. [35].

Depending on specific climatic conditions, the dominant Fusarium spp. causing red ear rot are: F. graminearum Schwabe and F. culmorum (Wm. G. Sm.) Sacc. (producing deoxynivalenol and other trichothecenes as well as zearalenone), followed by F. verticillioides (Sacc.) Nirenberg and F. proliferatum (Matsush.) Nirenberg (producing mainly B analogues of fumonisins [610]. Less important species include F. subglutinans (Wollenw. and Reinking) Nelson, Toussoun and Marasas and F. sporotrichioides Scherb. [8, 11, 12]. Very recently, F. temperatum, a new species closely related to the F. subglutinans Group 1 and producing beauvercin, has been described and identified in maize samples from Belgium, Poland and also in Northern China, where climatic conditions are harsh [1315].

In Poland, Fusarium species occurrence and their mycotoxin production have been studied since 1969 [16]. Until the 1990's the climate of this country has been described as temperate with relatively cold winters and warm summers, which is greatly influenced by oceanic air currents from the west, cold polar air from Scandinavia and Russia, as well as warmer, sub-tropical air from the South. During this time, the most frequent Fusarium species in small grain cereals, and in maize were F. graminearum and F. culmorum. Recently, the climate has become much warmer, with, frequent, day-to-day and year-to-year variability in the weather patterns noted. As a consequence, the occurrence of other species, such as F. verticillioides or F. temperatum, began to increase. However, the mean mycotoxin concentration in cereal grain samples collected in Poland was usually lower in comparison to other European countries [1720].

The contamination of human food and animal feed with mycotoxins causes acute or chronic health problems in humans or livestock, such as equine leukoencephalomalacia, human esophaegal and liver cancer as well as other diseases [8, 2129]. Strict maximum levels for Fusarium mycotoxins (deoxynivalenol, zearalenone and fumonisins) are in place for foodstuffs (EC 2007) and guidance values have been issued for animal feed in the European Union (EC 2006) (http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2006:234:0035:0040:EN:PDF).

The use of genetic resistance is one of the most effective practices for disease control, and pedigree selection is an effective method to obtain genetic gain for ear rot resistance [3033]. Another important part of effective crop protection strategy against ear rot is monitoring the Fusarium species associated with maize as well as with the specific environment [34]. Several primary infection pathways of maize kernels by Fusarium species were identified, having significant effect on the species spectrum [35]. One of the most important infection pathways is through the silk channels during flowering time. Silks are susceptible during the first 6 days after silk emergence and much less susceptible after this time. Spores, dispersed by wind or insect vectors, start to germinate on silks and temperature and humidity are the crucial factors affecting this process. The silk infection pathway is the most common for F. graminearum and F. culmorum [36]. Also F. verticillioides can infect maize via silks, however, other infection pathways, such as damaged kernels and systemic growth of the pathogen play important roles [3, 32, 37].

Therefore, the main goal of this study was to evaluate the naturally occurring Fusarium species and associated mycotoxins in grain samples collected from hybrids commonly grown in different regions of Poland, and to identify the environmental factors affecting the species frequency shifts in the populations of these pathogens.

Materials and Methods

Maize grain sampling

A total of 30 maize grain samples were evaluated for Fusarium spp. occurrence. Samples were collected in locations representing regions of Poland with different environmental conditions (Central, Central-Western, South-Eastern and South-Western) across 2011–2012 (Fig 1). In 2011 samples from three locations were evaluated (L1: Kościelna Wieś, L2: Przecław and L3: Zybiszów) and in 2012 samples originated from seven locations (L4: Głębokie, L5: Kawęczyn, L6: Kościelna Wieś, L7: Krościna Mała, L8: Lućmierz, L9: Świebodzin and L10: Tomaszów Bolesławicki) (Table 1, Fig 1). Three maize hybrids, commonly grown in Europe, were sampled in all locations: PR38A79 (H1), Ronaldino (H2) and Ricardino (H3). Additionally, in 2011 in one location (L1) Es Paroli hybrid was sampled instead of PR38A79. Hybrids represented different levels of resistance to ear rot at high disease pressure and under natural infection. Additionally, they represented different maturity groups: Ricardino with FAO 230 (flint type of kernels) belongs to a middle-early group and Ronaldino with FAO 260 (semi-flint type of kernels) and PR38A79 with FAO 270 belong to a middle-late group.

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Fig 1. Geographic locations representing different environments in Poland where the field trials were conducted.

Geographic locations of the field trials with three maize sampled hybrids (H1-H3) were conducted during 2011 (L1-L3) and 2012 (L4-L10). Samples were collected in regions of Poland with different environmental conditions: Central, Central-Western, South-Eastern and South-Western (GinkoMaps-project; http://www.ginkgomaps.com).

https://doi.org/10.1371/journal.pone.0133644.g001

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Table 1. Historical data (1950–2000) for locations L1-L3 (2011 samples) and L4-L10 (2012 samples) generated using DIVA-GIS.

https://doi.org/10.1371/journal.pone.0133644.t001

All trials were conducted on experiment stations owned by the Research Centre for Cultivar Testing (COBORU) (http://www.coboru.pl/English/index_eng.aspx) using the best practice appropriate to the respective area. Permission for sampling was granted by COBORU Deputy Director M. Behnke (SI1 and SI2 forms). Plots were sown in three replications for each hybrid to a density of 83 300 plants per hectare. Plot size was 16.32 m2 (10.88 m x 1.50 m) with two rows and 75 cm distance between rows, 68 plants per row. Hybrids were randomized within blocks. Experiments were bordered by four rows of maize hybrid. At harvest, kernels from the three replicates were pooled and thoroughly mixed. Representative grain samples of half a kilogram of each hybrid from each locality were collected and stored in a cold room at 4°C and were made available as plant material for the research project HORzg 8421/1 “Plant improvement for sustainable agroecosystems, high-quality food and crop production for non-food purposes” supported by the Polish Ministry of Agriculture and Rural Development. Results of this project are publically available.

Mycotoxin analyses

Fumonisin B1, zearalenone and deoxynivalenol standards were purchased with a standard grade certificate from Sigma-Aldrich (Steinheim, Germany). Sodium dihydrophosphate, potassium chloride, acetic acid and o-phosphoric acid were purchased from POCh (Gliwice, Poland). Organic solvents (HPLC grade), disodium tetraborate, 2-mercaptoethanol and all other chemicals were also purchased from Sigma-Aldrich (Steinheim, Germany). Water for the HPLC mobile phase was purified using a Milli-Q system (Millipore, Bedford, MA, USA).

Extraction and purification procedure: 10 g of homogenized ground samples of maize kernels were prepared for analysis. All mycotoxins (FB1, ZON, DON) were extracted and purified according to the detailed procedure described earlier [20, 38, 39]. The eluate was evaporated to dryness at 40°C under a stream of nitrogen. Dry residue was stored at -20°C until HPLC analyses.

The chromatographic system utilized a Waters 2695 high-performance liquid chromatograph (Waters, Milford, USA) with the following detectors: (i) Waters 2475 Multi λ Fluorescence Detector (λex = 335 nm, λem = 440 nm) with a X-Bridge column (3.0x100 mm) for FB1 analysis; (ii) Waters 2996 Photodiode Array Detector with Nova Pak C-18 column (300x3.9 mm) for DON (λmax = 224 nm) analysis; (iii) Waters 2475 Multi λ Fluorescence Detector (λex = 274 nm, λem = 440 nm) and Waters 2996 Photodiode Array Detector with Nova Pak C-18 column (150x3.9 mm) for ZON analysis. Quantification of mycotoxins was performed by measuring the peak areas at the retention times according to relevant calibration curves. Limits of detection were: 0.001 μg/g for ZON and 0.01 μg/g for DON and FB1.

Fusarium species isolation

Fifty six maize kernels were selected randomly from each sample (a total of 168 from each locality). Kernels were soaked in distilled water for 24 hours on a shaker. Afterwards, they were surface-disinfected in ethanol (15 sec) and rinsed 3 times in distilled water, dried on sterile filter paper, placed on water agar (2% of Bacto agar, Difco) in Petri dishes, supplemented with neomycin and streptomycin sulfate (100 mg/L and 200 mg/L, respectively) and incubated at 22°C in darkness. After incubation for 7–12 days each culture was sub-cultured using the single spore technique. Pure cultures of Fusarium spp. were grown at 22°C (12 h photoperiod) for 10 days on SNA to produce macroconidia of uniform size and form and on PDA for colony morphology assessment [40].

Fungal species identification

Genomic DNAs of the fungal strains were extracted and purified using a procedure described previously [41]. The identification of Fusarium species among the fungal strains isolated from maize kernels was done using molecular markers and the analysis of diagnostic sequences. In particular, sequence characterized amplified region (SCAR) markers were used for F. proliferatum, F. subglutinans and F. verticillioides species identification [42]. Two primer pairs were used for F. temperatum identification: one previously described [13] and the second, designed on the basis of the translation elongation factor (tef-1alpha) sequence analysis: (Temp1: 5’-CACTCGAGCAATGCGCGTTTCT-3’/Temp2: 5’-CGAATTAAGGGAGAACGAGGCAT-3’). Fusarium graminearum, F. equiseti, F. thapsinum and F. poae species were identified based on the sequence analysis of the the translation elongation factor (tef-1alpha) gene, amplified and sequenced using the primers and procedures described previously [43]. PCRs were conducted using BioRad C-1000 thermal cyclers in a 20 μl volume. Thermo Scientific Phire II Taq DNA polymerase was used, along with SIGMA dNTPs and custom primers. The PCR conditions were as described previously [43]. Amplified DNA fragments were electrophoresed in 1.5% agarose gels (AppliChem) and 1x TBE buffer (SIGMA).

For sequencing, the amplified fragments of tef-1alpha gene were purified using exonuclease I (Thermo Scientific) and Shrimp Alkaline Phosphatase (Thermo Scientific) according to Błaszczyk et al. [44]. Sequence labeling and reading were done using protocols validated previously [43, 45]. Sequence reading was done using Applied Biosystems equipment. Obtained sequences were analysed using Chromas (Technelysium) and MEGA 4 [46] software packages. Species identification was confirmed based on comparison to reference GenBank sequences of the respective species using BLASTn algorithm.

Meteorological data

Weather conditions were monitored, including mean and maximum temperatures [°C] and precipitation [mm] during the third quarter of 2011 and 2012 (July, August and September). This is from tasseling and silking time until physiological maturity and harvesting of sampled hybrids) (Fig 2). On the other hand, historical representative data for 1950–2000 for each locations were separately computed using the DIVA-GIS software and are presented in Table 1. They include: annual mean temp. [°C], mean monthly temperature range [°C], isothermality (2/7) (* 100), temperature seasonality (STD * 100), max temperature of warmest month [°C], temp. annual range [°C], mean temp. of wettest quarter [°C], mean temp. of driest quarter [°C], mean temp. of warmest quarter [°C], mean temp. of coldest quarter [°C], annual precipitation [mm], precipitation of wettest month [mm], precipitation of driest month [mm], precipitation seasonality (CV %), precipitation of wettest quarter [mm], precipitation of driest quarter [mm], precipitation of warmest quarter [mm], precipitation of coldest quarter [mm]. Under Polish conditions the warmest quarter is usually the third quarter of each year and the coldest quarter is the first quarter of each ear.

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Fig 2. Temperature and precipitation data for locations L1-L3 (a – 2011 samples) and L4-L10 (b – 2012 samples).

Mean and maximum decade temperatures and decade precipitation for the third quarter in (a) locations L1-L3 where samples were collected in 2011 as well (b) locations L4-L10 where samples were collected in 2012. Weather conditions such as mean and maximum temperatures [°C] and precipitations [mm] during the third quarter of the 2011 and 2012 years (July, August and September that means from tasseling and silking time till physiological maturity and harvesting time of sampled hybrids) were monitored and analyzed.

https://doi.org/10.1371/journal.pone.0133644.g002

Statistical analysis

Trials with three sampled maize hybrids were conducted using a randomized complete block design with three replicates. The average occurrences of each Fusarium species in maize grain samples collected from 3 hybrids in 3 locations in 2011 and 3 hybrids in 7 locations in 2012 were compared individually using fixed analysis of variance. Comparison between hybrids and locations was done using the Fisher least significant difference test. Pearson correlations between Fusarium species and between Fusarium species and environment (mean temperatures, total rainfall amount latitude, longitude and altitude) were calculated. All statistical analyses were made using the InfoStat software.

Results

Maize grain samples evaluated for Fusarium spp. occurrence in 2011 and 2012 were collected from three hybrids in locations representing regions of Poland with different environmental conditions (Fig 1). Thirty samples were evaluated: 9 samples were collected from hybrids grown in three locations (L1-L3) in 2011 and 21 samples were collected in seven locations (L4-L10) in 2012.

Environmental conditions

Geographical localization of the sample collection fields were as follows: latitude ranging from 50.1928°N to 52.9818°N, longitude from 15.0776°E to 21.445°E and the altitude from 77 to 196 m above sea level (Fig 1).

Weather data were analyzed separately. These were monitored when the experiments were conducted and kernel samples were collected (third quarter of 2011 and 2012) and historical data generated using DIVA-GIS software (representative for 1950–2000). More differences were observed between locations for temperature, based on the data from the long time period than for 2011 and 2012 (Table 1, Fig 2).

Depending on location, July mean temperatures in 2011 were on average 2°C lower than in 2012. On the other hand, in September mean temperatures were higher in 2011 than in 2012. The highest differences of mean and maximum temperatures were observed in the second half of July (ab. 5°C). In 2011 total rainfall amount ranged from 73.9 to 29.8 mm in July, from 37.7 to 58.6 mm in August and from 5.2 to 34.7 mm in September. Consequently, in 2012 rainfall amounts were from 52.0 to 154.4 mm for July, 37.0 to 105.6 mm for August and from 26.2 to 45.6 mm for September.

Based on historical meteorological data it was possible to observe differences for annual range of temperatures (ab. 5°C), temperature seasonality, temperature annual range (ab. 5°C) and mean temperature of the wettest quarter. Annual precipitation ranged from 523 to 635 mm. Precipitation in the warmest quarter overlapped with precipitation of the wettest quarter, and the differences between locations were of ab. 20 mm with the exception of Przecław (L2), where annual temperature range was 33.0°C and precipitation for the warmest and wettest quarter was 249 mm). In location L10 (Tomaszów Bolesławicki) annual range temperature and temperature seasonality was the lowest and precipitation of the driest quarter higher than in the other one.

Mycotoxin concentrations

All maize kernel samples contained FB1 (Table 2). DON was found in 66.67% and ZON in 43.33% of samples. Fumonisin B1 contamination ranged from 59.68 to 1190.33 μg/kg. The average DON level for positive samples was 50.77 μg/kg with a maximum concentration of 90.54 μg/kg. The same samples were also contaminated with ZON—average level for positive samples was 18.39 μg/kg with a maximum concentration of 59.87 μg/kg. Distribution of positive samples indicated that most samples (53.33%) were contaminated with FB1 within the range of 300 to 500 μg/kg.

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Table 2. Frequencies of grain sample contamination with fumonisin B1, deoxynivalenol and zearalenone from 2011 and 2012.

https://doi.org/10.1371/journal.pone.0133644.t002

On average, the differences in sample contamination with FB1 ranged between locations from 257.03 (L1, Kościelna Wieś, Central Poland) to 684.63 μg/kg (L5, Głębokie, Central Poland) (Fig 3A). The highest average level of DON was found in the grain samples from Głębokie (L4) (64.16 μg/kg) and the lowest—from (Zybiszów (L3) (below the limit of detection—LOD). In the case of ZON, the differences between locations were from ≤LOD (Zybiszów, L3) to 19.96 μg/kg (Kościelna Wieś, L6). The average DON levels varied between the hybrids ranging from 33.69 μg/kg (H2, middle-late genotype) to 37.20 μg/kg (H1, middle-late genotype), while the differences for ZON content ranged from ≤LOD (H1, middle-late genotype) to 18.50 μg/kg (H3, middle-early genotype), and the differences for FB1 content ranged from 327.76 μg/kg (H2, middle-late genotype) to 414.99 μg/kg (H1, middle-late genotype) (Fig 3B).

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Fig 3. Fumonisin B1, deoxynivalenol and zearalenone contamination for grain samples from 2011 and 2012.

Fumonisin B1 (FB1), deoxynivalenol (DON) and zearalenone (ZON) contamination for grain samples representing (a) the average for locations L1-L10 sampled in 2011 and 2012 as well (b) the average for three hybrids H1-H3 sampled in 2011 and 2012 were measured. Bars represent standard error on the probability level 0.05; non-overlapping notches show a significant difference. There were no significant differences in concentrations between years or locations except for ZON. Differences were found between hybrids for ZON content (F = 5.71; p value = 0.0086) (Fig 3B).

https://doi.org/10.1371/journal.pone.0133644.g003

Fusarium spp. frequencies

On average, 25.24% of kernels from grain samples collected in three locations in 2011 (L1-L3) and in seven locations in 2012 (L4-L10) were colonized by Fusarium spp. (424 strains were isolated from 11680 kernels evaluated) (Table 3). Differences between locations for the Fusarium spp. presence ranged from 17.30% (Świebodzin, L9, Central-Western part of Poland) to 40.50% (Tomaszów Bolesławicki, L10, South-Western part of Poland). Eight Fusarium species were isolated and identified. Generally, Fusarium verticillioides and F. temperatum were found in all locations. Fusarium subglutinans was present in samples collected from nine locations (Table 3, Fig 4).

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Fig 4. Percentages of kernels containing Fusarium spp. in grain samples collected in 2011 and 2012.

The most frequent Fusarium spp. in grain samples representing (a) the average for locations L1-L3 sampled in 2011 as well (b) the average for three hybrids H1-H3 sampled in 2011 and 2012. Bars represent standard error on the probability level 0.05; non-overlapping notches show a significant difference.

https://doi.org/10.1371/journal.pone.0133644.g004

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Table 3. Percentages of kernels containing Fusarium species collected from H1-H3 hybrids in 2011 and 2012.

https://doi.org/10.1371/journal.pone.0133644.t003

Fusarium verticillioides was the prevailing species detected in 16.19% of kernels (272 strains were isolated) and its frequence varied from 7.14% (Świebodzin, L9; Central-Western part of the country) to 22.62% (Kawęczyn, L5; Central Poland). The incidence of F. verticillioides isolates in grain samples originating from H1 (middle-late genotype) ranged from 0% to 30.36%, in grain samples originating from H2 from 3.57% to 25.00% and in middle-early genotype (H3) grain samples from 7.14% to 33.93%. Fusarium temperatum frequency ranged from 0.60% (Kawęczyn, L5) to 13.69% (Tomaszów Bolesławicki, L10). Percentages of kernels containing F. temperatum in grain sampled from the hybrids ranged from 2.86% (H1) to 7.50% (H2). Depending on the environment, the percentage of kernels sampled from H1 (belonging to middle-late group) ranged from 0% to 28.57% (7.50% on average), in grain sampled from H2 (middle-late group) from 0% to 16.07%. (4.11% on average). In grain sampled from H3 (representing middle-early group) the incidence of F. temperatum was lower than in the samples collected from hybrids belonging to the middle-late group and it ranged from 0% to 8.93%.

Fusarium subglutinans colonized 2.98% of tested kernels (50 strains were isolated). When locations were compared, F. subglutinans frequencies ranged from 0% (Przecław, L2, South-Eastern Poland) to 6.55% (Głębokie, L4, Central Poland). On average, 3.75% of kernels sampled from H1, 2.68% of kernels sampled from H2 and 2.50% of kernels sampled from H3 contained isolates of this species.

Fusarium graminearum isolates were present in grain samples from one environment only (Lućmierz, L8, Central Poland) and exclusively in grain collected from one hybrid (H2). Similarly, F. equiseti was found only in (Lućmierz, L8, H2 hybrid) and F. poae only in (Kościelna Wieś, L6, H1 hybrid). Two F. thapsinum isolates were found in samples from Głębokie (L4) and Kawęczyn (L5). There were no differences in species occurrence between years, locations or hybrids, with the exception of F. temperatum (F = 2.73, p value = 0.05) and F. proliferatum (F = 2.31, p value = 0.05) (Fig 4).

Effect of environmental conditions on toxins content and Fusarium spp. frequency

Relationships between the most frequent Fusarium species (F. verticillioides, F. temperatum and F. subglutinans), geographic location where experiments were conducted (latitude, longitude and altitude) and meteorological conditions in a short time period (2011–2012) and long time period (historical data representative for 1950–2000) were calculated using Pearson correlations.

The correlation analysis confirmed that in the eastern part of the country F. temperatum and F. subglutinans frequencies were lower than in the western part–correlation coefficient between longitude and F. subglutinans frequency was negative (r = -0.76, p = 0.01) similarly as for F. temperatum frequency (r = -0.60, p = 0.05) (Fig 5).

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Fig 5. Correlation coefficients between the presence of F. verticillioides, F. temperatum and F. subglutinans, and geographic location.

Correlation coefficients between percentages of kernels containing F. verticillioides, F. temperatum and F. subglutinans in grain sampled from 3 hybrids in 2011 and 2012 and geographic localization of the locations where experiments were conducted (latitude, longitude and altitude; *—significance level of 0.05; **—significance level of 0.01).

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Additionally, it confirmed that only mean and maximum temperatures of the second half of July and mean temperature of the second half of September negatively correlated with F. subglutinans frequency (r = -0.60, p = 0.05, to r = 0.66, p = 0.01 and r = -0.67, p = 0.01, respectively). Correlation coefficient between rainfall amount in third decade of August and the percentage of kernels containing F. temperatum and F. subglutinans was positive (r = 66, p = 0.01 and r = 0.80, p = 0.01, respectively) as well as for the rainfall amount during second half of September and F. subglutinans frequency (r = 0.65, p = 0.01).

Higher correlations were found between historical data representing temperatures in a long time period and F. temperatum, as well as F. subglutinans frequencies (Fig 6). Temperature seasonality negative correlated with both frequencies (r = -0.62, p = 0.05 and r = -0.63, p = 0.05, respectively) as well as the annual range of temperatures (r = -0.61, p = 0.05 and r = -0.72, p = 0.01, respectively) or mean temperatures of wettest quarter (r = -0.59, p = 0.05 and r = -0.67, p = 0.01, respectively). Mean temperatures of coldest quarter positively correlated with both F. temperatum and F. subglutinans incidence.

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Fig 6. Correlation coefficients between the presence of F. verticillioides, F. temperatum and F. subglutinans and historical temperature data.

Correlation coefficients between percentages of kernels containing F. verticillioides, F. temperatum and F. subglutinans in grain samples collected in 2011 and 2012 and historical temperature data (representative for 1950–2000; generated using the DIVA-GIS software; *—significance level of 0.05; **—significance level of 0.01).

https://doi.org/10.1371/journal.pone.0133644.g006

Discussion

Temperature and rainfall are the main factors affecting the development of Fusarium species causing important diseases of maize and other small grain cereals. However, the impact of these climatic factors is influenced by other environmental variables, such as additional fungal diseases, drought stress or host-dependent factors [47, 48]. Therefore, the creation of an effective crop protection strategy should involve many steps, such as monitoring the environment and the previous crop during growing periods on both the macro and the micro scale [34].

Poland is a country where the large, central lowlands are quite flat and narrow in the West, while expanding to the North and South. The region is cut by two major rivers, including the Oder which defines the area of West-Central Poland and the Vistula, which defines the lowland areas of East-Central Poland. Using historical meteorological data it was possible to observe differences between particular geographical locations regarding such variables as annual temperature range (ab. 5°C), temperature seasonality, temperature annual range (ab. 5°C) or mean temperature of the wettest quarter and annual precipitation or precipitation of the wettest quarter. For a short time period, the differences for temperatures were not as great as the differences in rainfall amount. This variation plays an important role as a factor influencing the frequencies of species causing ear rot in maize: F. verticillioides, F. proliferatum, F. subglutinans and F. temperatum (Table 2). The incidence of F. graminearum recorded for all samples tested was very low, however, the occurrence of DON and ZON in the grain could suggest that the species (or perhaps F. culmorum) should be present in the kernels. There are many reports stating that F. graminearum frequency varies significantly among years and locations in many geographical areas [8, 10, 28, 47], however, it is regarded as a predominant species in Central and Northern Europe, e.g. in Poland [17], Austria [49, 50], Czech Republic [51] or Slovenia [52], while F. verticillioides prevails in Southern European countries, such as Italy or Spain [5357]. Recently climate variability determines the Fusarium species population variability and the distribution of F. verticillioides in countries of Central Europe [5861]. Marin et al. [62] and Torres et al. [63] have reported that optimal temperature for F. verticillioides germination and growth is about 25°C. Reid et al. [36]. found that F. verticillioides germinates and grows over a broader range of temperatures and water activities than F. graminearum. The minimum temperature required for F. verticillioides growth is 4°C and for F. graminearum it is 10°C [64]. Therefore, in the presence of the two species, F. verticillioides has the opportunity to eventually out-compete F. graminearum. The method of fungal species isolation used in the present study does not favor any of the species present in the samples, nevertheless it allows to detect only the pathogen that is still viable. Yet, it was not possible to detect any F. graminearum that was already dead. This could explain the presence of the mycotoxins typical for F. graminearum (DON and ZON) in the grain, while the species was usually not identified as viable pathogen in the harvested grain. In fact, the pathogen may be still present and detectable in the environment, while it is not able to survive in harvested and dried maize cobs. This hypothesis, however, needs to be verified using different experimental approach, utilizing for example monitoring of F. graminearum presence in the air or maize plant debris.

Another factor, possibly contributing to the low incidence of F. graminearum, is low water content in plant material at harvest. The minimum water activity needed for growth of F. verticillioides is 0.86 aw and for F. graminearum it is 0.935. At 25°C, F. verticillioides spores are able to germinate at 0.88 aw [6263], and F. graminearum spores germinate at 0.94 aw [65]. It might explain the lower incidence of F. verticillioides on the flat area of central and West-Central part of Poland with latitude higher than 52°N, whereas it was higher in the South of Poland with higher altitudes and with latitude lower than 51.5°N.

The amount of fumonisin B1 in maize grain corresponded to the occurrence of F. verticillioides, however, the mycotoxin content was much lower than reported for the Southern Europe, e.g. for Spain, [54, 66] or Italy [57, 67]. The levels of maize grain sample contamination with ZON and DON were low. Because of the low F. graminearum frequency in the grain, one of the possible explanations is that the fungus was present in the ears rachis, however, this part of the cob was not available to be analyzed. Optimal temperatures for fumonisin biosynthesis are between 25 and 30°C [6870] and DON is usually produced more rapidly at 25°C [71]. Under Polish conditions, mean and maximum temperatures during yield formation and grain ripening stages are usually lower than 25°C and this can be the additional factor influencing lower DON content in maize grain samples.

The second most abundant species was F. temperatum, a new pathogen described recently [13] and closely related to F. subglutinans. It occurred in 70% of tested samples (4.82% of all kernels tested), which was higher than for F. subglutinans. Unlike F. verticillioides, the frequencies of both species were higher in the environments with mean temperatures of 18°C or lower. Both of them seem to be adapted to similar climatic conditions and a positive correlation between their frequencies was found. Moreover, this confirms the results obtained in Belgium by Scauflaire et al. [13, 29].

The present study corresponds to previous ones, demonstrating low level of ear rot severity on hybrids commonly grown under Polish conditions, based on the phenotypic evaluation of disease symptoms under natural infection in three environments [33]. The level of mycotoxin content in the samples from hybrids tested was low, however, in some of them the contamination with fumonisins and DON was higher than the EU limits. It was found that genotype maturity has a significant effect on DON and FBs concentration in grain. When mean daily temperatures during the growing season exceed 20°C, the early grain varieties take between 80 and 110 days to mature and the medium varieties—110 to 140 days. When mean daily temperatures are below 20°C, there is an extension in 'days to maturity' period, and at 15°C, maize grain needs 200 to 300 days to mature. Furthermore, the level of toxins was lower in grain sampled from hybrids belonging to the early and middle-early groups, which are mostly flint or semi-flint groups, than in grain sampled from hybrids belonging to the dent or semi-dent forms, which are late, with FAO number higher than 250. The frequency of F. verticillioides in grain sampled from hybrids with semi-flint type of kernels belonging to the middle-late group was higher than for kernels sampled from the middle-early genotype with flint type of kernels, especially from the southern part of Poland, in locations with higher temperatures during tasseling and silking. A similar tendency was observed for the frequency of F. temperatum, which was more common in locations with lower temperatures, where the climate is more similar to that found in Germany. This finding confirms the results obtained by Robertson et al. [72], however, it does not match their conclusion stating that flint genotypes are generally more susceptible to F. graminearum and F. verticillioides infection than dent genotypes in the early maturity group. It is probably caused by the fact that such forms were bred for Northern Europe and the natural selection pressure towards resistant genotypes was low [47, 48, 73]. The present study demonstrated the diversity of Fusarium populations in maize grains in relation to different environmental conditions including geographical localization, meteorological data in a short time period and in a long time period. It was possible to observe, how important a role the historical data play for temperature and precipitation level during the short time period. However, additional studies are needed to explain the co-occurrence of DON, ZON and FBs in grain in relation to species populations present, and to create the optimum risk assessment system for forecasting the ear rot and mycotoxin content in maize genotypes specific for Poland and, more generally, for Central Europe.

Supporting Information

Acknowledgments

The authors would like to thank Prof. Donald Mathre from Montana State University, Bozeman, USA for his valuable suggestions.

Author Contributions

Conceived and designed the experiments: EC ŁS AW. Performed the experiments: EC ŁS AW. Analyzed the data: EC ŁS AW. Contributed reagents/materials/analysis tools: EC ŁS AW. Wrote the paper: EC ŁS AW.

References

  1. 1. Meissle M, Mouron P, Musa T, Bigler F, Pons X, Vasileiadis VP, et al. Pests, pesticide use and alternative options in European maize production: current status and future prospects. J Appl Entomol 2010; 54: 357–375.
  2. 2. Doohan FM, Brennan J, Cooke BM. Influence of climatic factors on Fusarium species pathogenic to cereals. Eur J Plant Pathol 2003; 109: 755–768.
  3. 3. Munkvold GP, McGee DC, Carlton WM. Importance of different pathways for maize kernel infection by Fusarium moniliforme. Phytopathology 1997; 87: 209–217. pmid:18945144
  4. 4. Bakan B, Melcion D, Richard-Molard D, Cahagnier B. Fungal growth and Fusarium mycotoxin content in isogenic traditional maize and genetically modified maize grown in France and Spain. J Agr Food Chem 2002; 50: 728–731.
  5. 5. Blandino M, Reyneri A, Vanara F, Tamietti G, Pietri A. Influence of agricultural practices on Fusarium infection, fumonisin and deoxynivalenol contamination of maize kernels. World Mycotox J 2009; 2: 409–418.
  6. 6. Leslie JF. Gibberella fujikuroi: available populations and variable traits. Can J Bot 1995; 73(Suppl. 1): S282–S291.
  7. 7. Velluti A, Marin S, Bettucci L, Ramos AJ, Sanchis V. The effect of fungal competition on colonization of maize grain by Fusarium moniliforme, F. proliferatum and F. graminearum and on fumonisin B1 and zearalenone formation. Inter J Food Microbiol 2000; 59: 59–66.
  8. 8. Logrieco A, Mule G, Moretti A, Bottalico A. Toxigenic Fusarium species and mycotoxins associated with maize ear rot in Europe. Eur J Plant Pathol 2002; 108: 597–609.
  9. 9. Dorn B, Forrer HR, Jenny E, Wettstein FE, Bucheli TD, Vogelgsang S. Fusarium species complex and mycotoxins in gain maize from maize hybrids trials and from grower’s fields. J Appl Microbiol 2011; 111: 693–706. pmid:21714835
  10. 10. Boutigny AL, Beukes I, Small I, Zühlke S, Spiteller M, van Rensburg BJ et al. Quantitative detection of Fusarium pathogens and their mycotoxins in South African maize. Plant Pathol 2012; 61: 522–531.
  11. 11. Chełkowski J, Kwaśna H, Zajkowski P, Visconti A, Bottalico A. Fusarium sporotrichoides Scherb and trichothecenes associated with Fusarium-ear rot of corn before harvest. Mycotox Res 1987; 3: 111–114.
  12. 12. Vigier B, Reid LM, Seifert KA, Stewart DW, Hamilton RI. Distribution and prediction of Fusarium species associated with maize ear rot in Ontario. Can J Plant Pathol 1997; 19: 6065.
  13. 13. Scauflaire J, Gourgue M, Munaut F. Fusarium temperatum sp. nov. from maize, an emergent species closely related to Fusarium subglutinans. Mycologia 2011; 103: 586–597. pmid:21186324
  14. 14. Czembor E, Stępień Ł, Waśkiewicz A. Fusarium temperatum as a new species causing ear rot in Poland. Plant Dis 2014; 98: 1001.
  15. 15. Zhang X, Zhang J, Halder RP, White DJ, Hughes Z, Ye C et al. Climate change increases risk of fusarium ear blight on wheat in central China. Ann Appl Biol 2014; 164: 384–395.
  16. 16. Stępień Ł, Chełkowski J. Fusarium Head Blight of wheat—pathogenic species and their mycotoxins. World Mycotox J 2010; 3: 107–119.
  17. 17. Chełkowski J. Mycotoxins associated with corn cob fusariosis. In: Chełkowski J. (ed.) Fusarium–Mycotoxins, Taxonomy and Pathogenicity 1989; (pp 53–62) Elsevier, Amsterdam.
  18. 18. Perkowski J, Strachowiak J, Kiecana I, Goliński P, Chełkowski J. Natural occurrence of Fusarium mycotoxins in Polish cereals. Cereal Res Comm 1997; 25: 379–380.
  19. 19. Tomczak M, Wiśniewska H, Stępień Ł, Kostecki M, Chełkowski J, Goliński P. Deoxynivalenol, nivalenol and moniliformin occurrence in wheat samples with scab symptoms in Poland (1998–2000). Eur J Plant Pathol 2002; 108: 625–630.
  20. 20. Goliński P, Waśkiewicz A, Wiśniewska H, Kiecana I, Mielniczuk E, Gromadzka K, Kostecki M, Bocianowski J, Rymaniak E. Reaction of winter wheat (Triticum aestivum L.) cultivars to infection with Fusarium spp.: mycotoxin contamination in grain and chaff. Food Add Contam 2010; 27: 1015–1024.
  21. 21. Rotter BA, Prelusky DB, Pestka JJ. Toxicology of deoxynivalenol (vomitoxin). J Toxicol Environ Health 1996; 48: 1–34. pmid:8637056
  22. 22. Lemmens-Gruber RB, Rachoy E, Steininger K, Kouri P, Saleh R et al. The effect of the Fusarium metabolite beauvericin on electromechanical and physiological properties in isolated smooth and heart muscle preparations of guinea pigs. Mycopathologia 2000; 149: 5–12. pmid:11227853
  23. 23. Bereck L, Petri IB, Mesterházy A, Terén J, Molnár J. Effects of mycotoxins on human immune functions in vitro. Toxicol in Vitro 2001; 15: 25–30. pmid:11259866
  24. 24. Bennett JW, Klich M. Mycotoxins. Clin Microbiol Rev 2003; 16: 497–516. pmid:12857779
  25. 25. Munkvold GP. Epidemiology of Fusarium diseases and their mycotoxins in maize ears. Eur J Plant Pathol 2003; 109: 705–713.
  26. 26. Oldenburg E, Ellner F. Fusarium mycotoxins in forage maize—Detection and evaluation. Mycotox Res 2005; 21: 105–107.
  27. 27. Voss KA, Gelineau-van Waes JB, Riley RT. Fumonisins: current research trends in developmental toxicology. Mycotox Res 2006; 22: 61–69.
  28. 28. Chełkowski J, Gromadzka K, Stępień Ł, Lenc L, Kostecki M, Berthiller F. Fusarium species, zearalenone and deoxynivalenol content in preharvest scabby wheat heads from Poland. World Mycotox J 2012; 5: 133–141.
  29. 29. Scauflaire J, Godet M, Gourge M, Lienard C, Munaut F. A multiplex real-time PCR method using hybridization probes for the detection and the quantification of Fusarium proliferatum, F. subglutinans, F. temperatum and F. verticillioides. Fungal Biol 2012; 116: 1073–1080. pmid:23063186
  30. 30. Presello DA, Pereyra AO, Iglesias J, Fauguel CM, Sampietro DA, Eyherabide GH. Responses to selection of S5 inbreds for broad-based resistance to ear rots and grain mycotoxin contamination caused by Fusarium spp. in maize. Euphytica 2011; 178: 23–29.
  31. 31. Presello DA, Reid LM, Butler G, Mather DE. Pedigree selection for Gibberella ear rot resistance in maize populations. Euphytica 2005; 143: 1–8.
  32. 32. Munkvold GP. Cultural and genetic approaches to managing mycotoxins in maize. Ann Rev Phytopathol 2003; 41: 99–116.
  33. 33. Czembor E, Matusiak M, Ochodzki P. Odporność mieszańców kukurydzy na fuzariozę kolb przy infekcji naturalnej i po zakażeniach sztucznych Fusarium graminearum i F. verticillioides w Polsce w latach 2008–2009. [Resistance of maize hybrids for ear rot caused by Fusarium graminearum and F. verticillioides in Poland across 2008–2009]. Biuletyn IHAR 2013; 270: 55–73.
  34. 34. Zijstra C, Lund I, Justesen AF, Nicolaisen M, Bianciotto V, Posta K et al. Prospects of future crop protection using innovative diagnostic tools and precision spray techniques. Pest Management Sci 2011; 67: 616–625.
  35. 35. Blandino M, Visentin I, Vanara F, Valentino D, Tamietti G. The effect of different infection pathways on the final Fusarium infection and fumonisin contamination on maize. Congress of Plant Pathology—J Plant Pathol Torino, 2008; August 24–29.
  36. 36. Reid LM, Nicol RW, Ouellet T, Savard M, Miller JD, Young JC et al. Interaction of Fusarium graminearum and F. moniliforme in maize ears: disease progress, fungal biomass, and mycotoxin accumulation. Phytopathology 1999; 89: 1028–1037. pmid:18944658
  37. 37. Duncan KE, Howard RJ. Biology of maize kernel infection by Fusarium verticillioides. Mol Plant-Microbe Interact 2010; 23: 6–16. pmid:19958134
  38. 38. Waśkiewicz A, Irzykowska L, Bocianowski J, Karolewski Z, Weber Z, Goliński P. Fusariotoxins in asparagus–their biosynthesis and migration. Food Addit Contam 2013; 30: 1332–1338.
  39. 39. Waśkiewicz A, Stępień Ł, Wilman K, Kachlicki P. Diversity of pea-associated F. proliferatum and F. verticillioides populations revealed by FUM1 sequence analysis and fumonisin biosynthesis. Toxins 2013; 5: 488–503. pmid:23470545
  40. 40. Leslie JF, Summerell BA. The Fusarium Laboratory Manual. 2006; Oxford, UK: Wiley-Blackwell.
  41. 41. Stępień Ł, Chełkowski J, Wenzel G, Mohler V. Combined use of linked markers for genotyping the Pm1 locus in common wheat. Cell Mol Biol Lett 2004; 9: 819–827. pmid:15647799
  42. 42. Mulѐ G, Susca A, Stea G, Moretti A. A species-specific PCR assay based on the calmodulin partial gene for identification of Fusarium verticillioides, F. proliferatum and F. subglutinans. Eur J Plant Pathol 2004; 110: 495–502.
  43. 43. Stępień Ł, Gromadzka K, Chełkowski J. Polymorphism of mycotoxin biosynthetic genes among Fusarium equiseti isolates from Italy and Poland. J Appl Genet 2012; 53: 227–236. pmid:22354659
  44. 44. Błaszczyk L, Goyeau H, Huang X, Röder M, Stępień Ł, Chełkowski J. Identification of leaf rust resistance genes and mapping gene Lr37 on microsatellite map of wheat. Cell Mol Biol Lett 2004; 9: 869–878. pmid:15647803
  45. 45. Waśkiewicz A, Stępień Ł. Mycotoxins biosynthesized by plant-derived Fusarium isolates. Arh Hig Rada Toksikol 2012; 63: 437–446. pmid:23334038
  46. 46. Tamura K, Dudley J, Nei M, Kumar S. MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) software version 4.0. Mol Biol Evol 2007; 2: 1596–1599.
  47. 47. Bottalico A. Fusarium diseases of cereals: species complex and related mycotoxin profiles in Europe. J Plant Pathol 1998; 80: 85–103.
  48. 48. Miller JD. Factors that affect the occurrence of fumonisins. Environ Health Perspect 2001; 109: 321–324. pmid:11359702
  49. 49. Lew H, Adler A, Edinger W. Moniliformin and European corn borer (Ostrinia nubialis). Mycotox Res 1991; 7A: 71–76.
  50. 50. Krska R, Lemmens M, Schuhmacher R, Gresserbauer M, Prończuk M et al. Accumulation of the mycotoxin beauvercin in kernels of corn hybrid inoculated with Fusarium subglutinans. J Agric Food Chem 1996; 44: 3665–3667.
  51. 51. Nedelnik J. Spectrum of Fusaria species and contamination with mycotoxins of corn in the Czech Republic. In: Abstracts of the 6th European Fusarium Seminar (pp 111–112) 11–16 September 2000, Berlin.
  52. 52. Milevoj I. Electrophoretic study of proteins in the fungus Fusarium moniliforme var. subglutinans. Cereal Res Comm 1997; 25: 603–606.
  53. 53. Munoz L, Cardelle M, Pereiro M, Riguera R. Occurrence of corn mycotoxins in Galicia (Northwest Spain). J Agric Food Chem 1990; 38: 1004–1006.
  54. 54. Butrón A, Santiago R, Mansilla P, Pintos-Varela C, Ordas A, Ana Malvar R. Maize (Zea mays L.) genetic factors for preventing fumonisin contamination. J Agric Food Chem 2006; 54: 6113–6117. pmid:16881725
  55. 55. Jurado M, Vázquez C, Callejas C, González-Jaén MT. Occurrence and variability of mycotoxigenic Fusarium species associated to wheat and maize in the South West of Spain. Mycotox Res 2006; 22: 87–91.
  56. 56. Arino A, Juan T, Estopanan G, Gonzalez-Cabo JF. Natural occurrence of Fusarium species, fumonisin production by toxigenic strains, and concentrations of fumonisins B-1 and B-2 in conventional and organic maize grown in Spain. J Food Prot 2007; 70: 151–156. pmid:17265874
  57. 57. Aguin O, Cao A, Pintos C, Santiago R, Mansilla P, Burtón A. Occurrence of Fusarium species in maize kernels grown in northwestern Spain. Plant Pathol 2014; 63: 946–951.
  58. 58. Dorn B, Forrer HR, Schurch S, Vogelgsang S. Fusarium species complex on maize in Switzerland: occurrence, prevalence, impact and mycotoxins in commercial hybrids under natural infection. Eur J Plant Pathol 2009; 125: 51–61.
  59. 59. Görtz A, Oerke E-C, Steiner U, Waalwijk C, Vries I, Dehne HW. Fusarium species causing ear rot of maize in Germany. Cereal Res Comm 2004; 36: 617–622.
  60. 60. Görtz A, Zuehlke S, Spiteller M, Steinr U, Dehne HW, Waalwijk C et al. Incidence of Fusarium species and mycotoxins in silage maize. Toxins 2011; 3: 949–967. pmid:22069750
  61. 61. Scauflaire J, Gourgue M, Callebaut A, Munaut F. Fusarium temperatum, a mycotoxin-producing pathogen of maize. Eur J Plant Pathol 2012; 133: 911–922.
  62. 62. Marín S, Sanchís V, Teixido A, Saenz R, Ramos AJ et al. Water and temperature relations and microconidial germination of Fusarium moniliforme and Fusarium proliferatum from maize. Can J Microbiol 1996; 42: 1045–1050. pmid:8890481
  63. 63. Torres MR, Ramos AJ, Soler J, Sanchis V, Marín S. SEM study of water activity and temperature effects on the initial growth of Aspergillus ochraceus, Alternaria alternata and Fusarium verticillioides on maize grain. Scanning electron microscopy. Int J Food Microbiol 2003; 81: 185–193. pmid:12485744
  64. 64. Cook RJ, Christensen AA. Growth of cereal root-rot fungi as affected by temperature-water potential interactions. Phytopathology 1976; 66: 193–197.
  65. 65. Sutton JC, Baliko W. Methods for quantifying partial resistance to Giberella zeae in maize ears. Can J Plant Pathol 1981; 4: 195–209.
  66. 66. Cao A, Santiago R, Ramos AJ, Marín S, Reid LM, Butrón A. Environmental factors related to fungal infection and fumonisin accumulation during the development and drying of white maize kernels. Int J Food Microbiol 164: 15–22. pmid:23587708
  67. 67. Covarelli L, Beccari G, Salvi S. Infection by mycotoxigenic fungal species and mycotoxin contamination of maize grain in Umbria, central Italy. Food Chem Toxicol 2011; 49: 2365–2369. pmid:21723360
  68. 68. Lebars J, Lebars P, Dupuy J, Boudra H, Cassini R. Biotic and abiotic factors in fumonisin B-1 production and stability. J Aoac Int 1994; 77: 517–521.
  69. 69. Marin S, Magan N, Belli N, Ramos AJ, Canela R, Sanchis V. Two-dimensional profiles of fumonisin B1 production by Fusarium moniliforme and Fusarium proliferatum in relation to environmental factors and potential for modelling toxin formation in maize grain. Int J Food Microbiol 1999; 51: 159–167. pmid:10574091
  70. 70. Samapundo S, Devliehgere F, De Meulenaer B, Debevere J. Effect of water activity and temperature on growth and the relationship between fumonisin production and the radial growth of Fusarium verticillioides and Fusarium proliferatum on corn. J Food Prot 2005; 68: 1054–1059. pmid:15895741
  71. 71. Ramirez ML, Reynoso MM, Farnochi MC, Chulze S. Vegetative compatibility and mycotoxin chemotypes among Fusarium graminearum (Gibberella zeae) isolates from wheat in Argentina. Eur J Plant Pathol 2006; 115: 139–148.
  72. 72. Robertson LA, Kleinschmidt CE, White DG, Payne GA, Maragos CM, Holland JB. Heritabilities and correlations of Fusarium ear rot resistance and fumonisin contamination resistance in two maize populations. Crop Sci 2006; 46: 353–361.
  73. 73. Löffler M, Kessel B, Ouzunova M, Miedaner T. Population parameters for resistance to Fusarium graminearum and Fusarium verticillioides ear rot among large sets of early, mid-late and late maturing European maize (Zea mays L.) inbred lines. Theor Appl Gen 2010; 120: 1053–1062.