Background

Barley is one of the most important cereal crops in the world. It is used for animal feed and human food (Malcolmson et al. 2005). Barley net blotch caused by Drechslera teres f. sp. teres is one of the most important diseases of barley in the world under suitable conditions (Tekauz, 2003). Symptoms can increase quickly; causing great grain yield loss under severs conditions. Net blotch is a wide-spread disease in Middle and Northern Egypt, whereas not noticed in Upper Egypt (El-Nashar, 1983). It can cause yield loss in some susceptible cultivars such as Beka, Holker, HB-52, and HB-120 (Teshome et al. 2008). The combination of pyraclostrobin + epoxiconazole fungicides was the most effective treatment for controlling the disease and improving the yield (Stepanović et al. 2016). The pyraclostrobin, propiconazole and the propiconazole mixed with iprodione were the effective treatment for controlling the disease. Similarly, azoxystrobin, trifloxystrobin, difenoconazole, and epoxiconazole also were effective in controlling the disease (Jayasena et al. 2002). Triazole fungicides such as epoxiconazole and propiconazole exhibited great efficacy in controlling barley net blotch disease than other fungicides (Moustafa, 2017). Trichoderma viride showed maximum inhibition percentage to the mycelial growth of Bipolaris sorokiniana (Singh et al. 2018). The selenium element protected the cell membrane (Ferrarese et al. (2012). It is a co-factor of glutathione peroxidase and neutralizes tissues oxidative damage (Sors et al. 2005). The mineral (chemical) and nano (biological) selenium treatments had a significant positive effect on yield characters as well as yield quantity and quality (Shedeed et al. 2018). Both soil and foliar selenium applications had a positive effect in increasing the selenium content in some plants without negatively effect on the N, P, K, Ca, Mg, Fe, Mn, Cu, and Zn contents (Wanga et al. 2013). Bio Arc (Bacillus megaterium) was effective in controlling Alternaria solani the causal of tomato early blight disease (Moustafa et al. 2018). B. cinerea were treated with eugenol showed sever suppression. Eugenol increased the concentration of potassium ion and cellular materials in the medium (Wang et al. 2010). Hyphae treated with eugenol showed morphological alterations observed with the light and scanning electron microscopy in which appeared such as cytoplasmic coagulation, vacuolation, and hyphal shriveling. Eugenol generates hydrogen peroxide (H2O2) and increased free Ca2+ in the cytoplasm of pathogen (Wang et al. 2010). The antifungal activity of eugenol is due to membrane binding and permeability alteration, leading to disruption of the plasma membrane (Polanco et al. 2014). Foliar spray with potassium silicate, sodium molybdate, combination of potassium silicate and sodium molybdate, with or without the fungicide azoxystrobin (Azox), could reduce anthracnose symptoms caused by Colletotrichum lindemuthianum and increase yield (Menzies et al. 1992). Applications of potassium silicate in dicotyledonous plants reduced the number of colonies of Sphaerotheca fuliginea and reduced angular leaf spot severity on common bean compared to the untreated control (Rodrigues et al. 2010). It covered the cuticle of vine leaves and prevented germination and the penetration of ascospores of Uncinula necator (Bowen et al. 1992). Infection of plants led to increase reactive oxygen species (ROS) which stimulate oxidative stress in plants. Normally, upregulation of antioxidant defense systems seems to be a general response to oxidative stress (Halliwell and Gutteridge, 1999). H2O2 and O2− are the most important ROS correlated with oxidative stress (Hafez et al. 2012). Endogenous ROS were stimulated significantly early after natural infection consequently, activities of catalase (CAT), peroxidase (POX), and poly phenol oxidase (PPO) were increased significantly than the control (Hafez et al. 2014a). Elevated levels of ROS early after infection could play a pivotal role in fungal suppressing and inhibiting the severity of disease symptoms as well as immunizing plants (Hafez et al. 2012).

The present research aimed to develop non-traditional alternative and biological control compounds against D. teres compared to commercial fungicides.

Materials and methods

Source of samples

Samples of diseased barley leaves showing typical net blotch symptoms of Drechslera teres were collected during the course of this study from different governorates of Egypt.

Isolation of the causal organism

Small pieces of infected leaves were surface sterilized with 95% ethyl alcohol for 10 s and 10% sodium hypochlorite solution (5.25% NaClO) for 90 s, then rinsed in sterile distilled water and blotted between dry sterilized filter papers to remove excessed water. The sterilized pieces were aseptically transferred into Petri plates containing 2% water agar medium and incubated at 20 ± 2 °C. Pure cultures of identified D. teres were obtained from EPCRS Excellence Center, Faculty of Agriculture, Kafrelsheikh University, Egypt. It obtained by hyphal tip method (Brown, 1924). Hyphal tip, identified using a compound microscope, was transferred onto PDA medium. Barley cv. Giza 2000, highly susceptible to D. teres was used in pathological studies of different isolates.

Inoculum preparation

Mycelial fragments from 10 days old cultures of D. teres grown on PDA plates were obtained by adding approximately 20 ml of distilled water to each plate and homogenized with blender for 5 min. The density of fragment suspension was adjusted to contain 105/ml (El-Nashar, 1990).

Glasshouse experiment

Under glasshouse at Barley Disease Department, Sakha Agricultural Station, Agricultural Research Center, Egypt, barley plants (cv. Giza 2000) were inoculated, 10 days after sowing according to El-Nashar (1990). The leaves were washed well by water and swabbed with absorbent cotton to facilitate inoculation of the leaves. Barley plants were inoculated by spraying the fragment suspension using hand atomizer until the leaves were covered by an even deposit fine droplet. Control plants were sprayed by sterilized water. The inoculated plants maintained in a relative humidity of about 100% at 22 ± 2 °C for 48 h. After 48 h, the plants maintained at 22 ± 2 °C. Infection responses on the plants were scored 14 days after inoculation (El-Nashar, 1990).

Seedling stage test

Pots (7 cm) each pot containing barley 10 plants (cv. Giza 2000) were used. Ten-day-old seedlings were treated twice; the first was pre-24 h and the second 48 h post-inoculation. Three replicates were used for each treatment. Untreated plants were used as a control. After 14 days, the disease assessment was assessed visually by evaluating necrosis using a 1–10 scale (Tekauz, 1985) and data manipulated to the percentages of disease control relative to the untreated control for each treatment using the following formula:

$$ \%\mathrm{Disease}\ \mathrm{control}=\mathrm{Disease}\ \mathrm{degree}\ \mathrm{of}\ \mathrm{untreated}-\mathrm{Disease}\ \mathrm{degree}\ \mathrm{of}\ \mathrm{treated}/\mathrm{Disease}\ \mathrm{degree}\ \mathrm{of}\ \mathrm{untreated}\ \mathrm{control}\times 100 $$

The same experiment was repeated as additional experiment to assure the result.

Adult stage test under field conditions

Field experiments were carried out at Sakha Experimental Station during 2017/2018 and 2018/2019 growing seasons in randomized complete block design with 3 replications, using Giza 2000 susceptible barley cultivar and each plot (measured 3 × 3.5 m). Under natural infection, the disease severity was recorded pre-treatments, spraying with treatments were carried out at booting and ear emergence stages in growth stages 40 and 59 (Zadoks et al. 1974). The disease severity was recorded according to Eyal et al. (1987). The efficacy of the treatments was determined according to the equation adopted by Rewal and Jhooty (1985) as follows:

$$ \mathrm{Efficacy}\%=C-T/C\times 100 $$

Where C = % infection in the control. T = % infection in the treatment.

Net blotch rating under glasshouse-grown barley

Net-spot blotch reaction was recorded according to Tekauz, (1985) scale of 1–10 was used for net blotch (Fig. 1), as follows:

  1. 1 =

    Minute pinpoint or fleck-type lesions, without visible chlorosis,

  2. 2 =

    Minute pinpoint or small (1–2 mm long) necrotic lesion, slight chlorosis on the leaf blade, and less than 20% leaf tip necrosis (R-MR),

  3. 3 =

    Small to large (1-2 mm or larger) necrotic lesion, slight chlorosis on the leaf blade, and 21–30% leaf tip necrosis (MR),

  4. 4 =

    Small to large necrotic lesion, slight to moderate chlorosis on the leaf blade, and about 31–40% leaf tip necrosis (MR-MS),

  5. 5 =

    Small to large necrotic lesion, slight to moderate chlorosis on the leaf blade, and about 41–50% leaf tip necrosis (MR-MS),

  6. 6 =

    Coalescing lesion, moderate chlorosis on the leaf blade, and 51–60% leaf necrosis (MR-MS),

  7. 7 =

    Coalescing lesion, moderate to severe chlorosis, and 61–70% leaf necrosis (MS),

  8. 8 =

    Coalescing lesion, sever chlorosis, and 71–80% leaf necrosis (MS-S),

  9. 9 =

    Coalescing lesion, more necrosis than chlorosis, and 81–90% leaf necrosis (S) and

  10. 10 =

    Coalescing lesions, more necrosis than chlorosis, and less than 10% green area visible on the leaf blade (VS). Necrosis on the leaf blade (R).

Fig. 1
figure 1

A numerical scale used for visual net blotch assessment on barley plants (Tekauz, 1985)

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Net blotch rating under field-grown barley

Net blotch rating under field-grown barley Net blotch reaction under field conditions was assessed according to double-digit scale 00–99. The first digit gives the relative height rate of the disease (Saari and Prescott, 1975), where 0 = free from infection (0) 1 = resistant: a few isolated lesions on only the lowest leaves (R). 2 = resistant: scattered lesions on the second set of leaves (R). 3 = resistant: light infection of lower third of plant (R, MR). 4 = moderately resistant: moderate infection of lower leaves (MR). 5 = moderately susceptible: severe infection of lower leaves. Moderate to light infection (MR, MS). 6 = moderately susceptible: severe infection on lower third of plant. Moderate on middle leaves (MS). 7 = susceptible: lesions. Severe on lower and middle leaves (MS, S). 8 = susceptible: lesions severe on lower and middle leaves. Moderate to severe infection of upper third of plant, flag leaf infected in amounts more than a trace (S). 9 = highly susceptible: severe infection on all leaves; spike also infected to some degree. The second digit shows the disease severity as a percentage of leaf area affected in terms of 0–9, where 0 = 0%, 1 = 10%, 2 = 20%, and so on (Eyal et al. 1987).

Treatments

Chemical, biocides and non-traditional compounds (Table 1) were used. Tilt 25% EC, Decent 32.5% SC, Curve 25% EC, Amisto 25% SC, Rush up 12.5 SC, Montoro 30% EC, Maven 18.7% WG, Silicate-Potassium, and T34 12% WP were obtained from Shoura Chemical Company as well as Bio ARC 6% WP was produced by Kafr El-Zayat Chemical Company, while Eugenol active substance (99.0%) extracted from clove plants in which used in this study was brought from Faculty of Pharmacy, Cairo University, Egypt. Nano-selenium was prepared biologically in Soil Microbiology Department, Soil, Water and Environment Research Institute (SWERI), according to Eszenyi et al. (2011). The size of selenium nanoparticles and other properties were measured using TEM and X-ray in Nanotechnology Laboratory in Agriculture Research Center, Giza.

Table 1 Treatments, active ingredients, and doses
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Seven treatments were selected according to their important effects on infected barley plants as follow:

Electrolyte leakage percentage

Determination of electrolyte leakage percentage (EL %) was done according to Whitlow et al. (1992) in 7 treatments at 48 hai. One gram of leaf discs (1 cm diameter) of barley leaves, where they placed in 25 ml deionized water (Milli-Q 50, USA). Flasks were shaking for 20 h at ambient temperature to facilitate electrolyte leakage from injured tissues. Initial electrical conductivity determinations were recorded for each vial using an Acromet AR20 electrical conductivity meter (Fisher Scientific, Chicago, IL, USA). Flasks were then immersed in a hot water bath (Fisher Isotemp, Indiana, PA) at 80 °C for 1 h to induce cell rupture. The vials were again placed on the Innova 2100 platform shaker for 20 h at 21 °C and final conductivity was measured for each flask. EL % for each sample was calculated as initial conductivity/final conductivity × 100.

Detection of superoxide

Superoxide (O2−) was visualized as a purple coloration of nitro blue tetrazolium (NBT) in treatments and measured at 48 hai. Barley leaves were vacuum infiltrated with 10 mM potassium phosphate buffer (pH 7.8) containing 0.1 w/v % NBT (Sigma–Aldrich, Germany) as described by Ádám et al. (1989). NBT-treated samples were incubated under daylight for 20 min and subsequently cleared in 0.15 w/v % trichloroacetic acid in ethanol: chloroform 4:1 v/v for 1 day (Hückelhoven et al. 1999). Cleared samples were washed with water and placed in 50% glycerol prior to evaluation. Discoloration of leaf discs resulted from NBT staining was quantified using a ChemiImager 4000 digital imaging system (Alpha Innotech Corp., San Leandro, USA). This test was repeated three times.

Activity of antioxidant enzymes

A half g leaf material was grinding at 0–4 °C in 3 ml of 50 mM TRIS buffer (pH 7.8), 1 mM EDTA-Na2 and 7.5% polyvinylpyrrolidone at 48, 72, and 96 hai. The homogenates were centrifuged (12,000 rpm, 20 min, 4 °C), and the total soluble enzyme activities were measured spectrophotometrically in the supernatant (Hafez et al. 2012). All measurements were carried out at 25 °C, using the model 6105, UV-Vis spectrophotometer (Jenway, UK). The enzyme activities were tested three times.

Catalase (CAT), polyphenol oxidase (PPO), and peroxidase (POX) activities were detected spectrophotometrically according to Aebi (1984), Malik and Singh (1980) and Hammerschmidt et al. (1982), respectively. CAT activity was determined by the changes in the absorbance at 495 nm were recorded every 30 s intervals for 3 min. Enzyme activity was expressed as the increase in absorbance min−1 g−1 fresh weight. PPO activity was directly determined of the crude enzyme extract according to a typical procedure proposed by the changes in absorbance at 470 nm were recorded every 30 s intervals for 3 min. POX enzyme activity was expressed as the increase in absorbance min−1 g−1 fresh weight.

Yield assessments

At maturity stage (no green tissues are present), plants of each treatment were harvested and the following parameters were determined: (1) grain yield per plot (G.y/plot), (2) weight of thousand kernels (1000 K.W.). The increase over control in yield components was estimated according to the equation adopted by Ibrahim et al. (2003), in which increase over control % = yh/yd – 1 × 100.

$$ \mathrm{Where}\ \mathrm{yd}=\mathrm{Diseased}\ \mathrm{yield}\ \left(\mathrm{control}\right),\mathrm{Yh}=\mathrm{Healthy}\ \mathrm{yield}\ \left(\mathrm{treatment}\right) $$

Statistical analysis

Two experiments were conducted in randomized complete plot design (RCPD) with three replicates for each treatment. Data represent the mean ± SD. Student’s t test was used to determine whether significant difference (P < 0.05) existed among mean values according to O’Mahony (1986). Data collected from each experiment was analyzed statistically by Duncan multiple range test (DMRT) (Gomez and Gomez 1984). The analysis was performed by the software Assist-Statistical Attendance (Silva and Azevedo, 2006).

Results and discussion

Effect of treatments on disease assessment (%) and disease symptoms under greenhouse conditions

The efficacy of 7 chemical fungicides (at the recommended dose), 2 Biocides and 3 organic materials on disease assessment were evaluated. These 12 treatments were sprayed on barley plants (10 days old) twice, the first was applied at 24 h before inoculation and the second was at 48 h post-inoculation.

Data in Table 2 indicate that the 12 chemical and biocides pyraclostrobin + dimethomorph (Maven), epoxiconazole (Rush up), propiconazole + difenoconazole (Montoro), azoxystrobin + difenoconazole (Decent), azoxystrobin (Amisto), difenoconazole (Curve), propiconazole (Tilt), Trichoderma asperellum strain (T34), (nano-selenium), and (silicate-potassium) prevented the disease development whether applied before or after inoculation. The efficacy was 100% relative to the untreated control. On the other hand, the Biocide, Bacillus megaterium (Bio Arc), and Natural material (Eugenol) were effective by 44.4 and 22.2%, respectively, when applied before inoculation, while the efficacy in diseased control was 33.3 and 11.1%, respectively, when applied after inoculation Table 2 and Fig. 2. Jordan and Best (1981) found that propiconazole, prochloraz and fenpropimorph were the most effective of nineteen fungicides in glasshouse testes against net blotch of barley. Mondrup and Welling (1984) also found that triadimefon (Bayleton 25 WP) had a very slight effect on net-spot blotch while propiconazole (Tilt 250 EC) reduced it by 80–90%. These results agree with our findings.

Table 2 Effect of biological and non-traditional compounds on disease assessment at the seedling stage
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Fig. 2
figure 2

Effect of biological, chemical fungicides and some non-traditional compounds on disease incidence at Seedling stage. Numbers, 1: T34, 2: Bio Arc, 3: Maven, 4: Eugenol, 5: Silicate-potassium, 6: Nano-Selenium, 7: Montoro, 8: Rush up, 9: Decent, 10: Curve, 11: Tilt and 12: Amisto. A=24 h before inoculation, B= 48 h after inoculation

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ROS level and action of enzymes in D. teres infected barley plants

Seven treatments were selected from the 12 treatments in this study. All treatments were capable of increase early after inoculation with 48 hai. the levels of endogenous ROS, mainly superoxide (O2−) in barley plants (Fig. 3). The purple discoloration and spots in all treatments were the indicators of O2− intensity or high levels than the control in which O2− levels were significantly reduced thus, purple discoloration was not seen (Fig. 3). Discoloration of leaf discs caused by NBT staining was visualized using the naked eye. Activities of catalase (CAT), peroxidase (POX) and polyphenol oxidase (PPO) were significantly increased in barley leaves treated with fungicides, Biological commercial product and the non-rational treatments compared to control treatments (Fig. 4). The increased activities of CAT, POX, and PPO enzymes were found after inoculation with 48, 72, and 96 h in the greenhouse.

Fig. 3
figure 3

Purple discoloration of superoxide on barley leaves early after inoculation with Drechslera teres 48 hai. Cont.: barley leaves inoculated only with D. teres. T34: commercial product og T. asperilium. Eugenol: active substance from cloves. K. Silicate: potassium silicate, nano-selenium: nano-selenium, Maven, Montoro, and Decent: fungicides

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Fig. 4
figure 4

Antioxidant enzyme activities in barley leaves 48, 72, and 96 hai with D. teres. CAT: catalase, POX: peroxidase, PPO: polyphenol oxidase enzymes. Cont.: barley leaves inoculated only with D. teres. T34: commercial product of T. asperilium. Eugenol: active substance from cloves. K. silicate: potassium silicate, nano-selenium: nano-selenium, Maven, Montoro, and Decent: fungicides

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As a result of early stimulation of ROS, enzyme activities were increased after inoculation; therefore, disease severity (%) and disease symptoms were suppressed (Fig. 4); this may be due to the inhibiting or the killing activity of ROS to the fungal pathogen early after infection consequently, there was no chance for the pathogen to grow or propagate (Hafez et al. 2014b). The results are supported by the non-host resistant phenomena. In the non-host/pathogen combination, when wheat infected with barley powdery mildew, superoxide, and hydrogen peroxide were accumulated early after inoculation, this early induction of ROS may be the cause of non-host resistant (Hafez et al. 2009). This result supports the idea that when ROS applied exogenously or any compound producing ROS or inducing ROS at an early time after inoculation, pathogens could be killed or significantly inhibited (Hafez and El-Baghday, 2013). Data of the present study indicated that the high levels of ROS after the inoculation encouraged, as a result, increasing the antioxidant enzyme activities therefore, protected plants against disease infection. Several studies indicated that salicylic acid (SA) and functional analogs like BTH and 2,6-dichloroisonicotinic acid (INA) can cause the ROS accumulation through the mitochondrial electron transport inhibition (Norman et al. 2004) or antioxidant enzymes (Bayoumi and Hafez, 2006). It was suggested that H2O2 induces SA accumulation and SA enhances the accumulation of H2O2 (Van Camp et al. 1998). As a result of H2O2 and O2− accumulation, microbursts may generate intensify and spread the H2O2 signal which is required for oxidative cell death and the establishment of systemic acquired resistance (SAR). It was also found an early burst of ROS and transient inhibition of antioxidant defense 1–2 days after the inoculation of Xanthi-nc leaves with TMV, followed by a massive induction of antioxidants (Fodor et al. 2001).

Electrolyte leakage

Electrolyte leakage (EL) is an indicator of the cell membrane permeability (Whitlow et al. 1992). Barley plants inoculated with D. teres and treated with fungicides as well as non-rational treatments and biological commercial products exhibited the highest significant decrease in electrolyte leakage compared to control which showed a significant increase of the membrane permeability (Fig. 5). K. Silicate, Nano-selenium, Montoro, and Maven were the best treatments which can protect cell membranes followed by Eugenol, T34, and Decent compared with control (Fig. 5). Similarly, chemical compounds and biotic or abiotic stresses could alter the resistance or susceptibility of plants to infection through their effects on membrane permeability (Hafez et al. 2014b). High-temperature stress could induce susceptibility in maize through its effect on membrane permeability as measured by increased electrolyte leakage (Garraway et al. 1989). This might result in the loss of host cells constituents which may be used by the invading pathogen as a source of nutrients. The results indicated that these treatments protected cell membranes of barley during the pathogen attack, while the cell membrane of the control treatment was affected by the pathogen infection and lost its constituents. The present results are in agreement with those obtained by (Hafez et al. 2014b).

Fig. 5
figure 5

Electrolyte leakage in barley leaves after inoculation with Drechslera teres 48 hai. Cont.: barley leaves inoculated only with D. teres. T34: commercial product of T. asperilium. Eugenol: active substance from cloves. K. Silicate: potassium silicate, nano-selenium: nano-selenium, Maven, Montoro, and Decent: fungicides

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Effect of treatments on yield components

The effect of 12 treatments (traditional and non-traditional compounds) on net blotch severity and yield components (1000 K.W.) and grain weight/plot) were evaluated under natural infection at Sakha Experimental Station during two successive seasons (2017/2018 and 2018/2019).

Data in Table 3 also showed that the difference in disease severity and efficacy between one or two sprays of each fungicide was very high. The effectiveness of 12 tested traditional and non-traditional compounds against net blotch during the two seasons, could be arranged in descending manner as follows: Decent, Maven Montoro, Amisto, Curve, Rush up, Tilt, T34, Silicate-potassium, Nano-Selenium, Bio Arc, and Eugenol while efficacy of treatments indicated that the best treatments were Maven, Decent and Montoro in chemical compounds. In this respect, Jordan and Best (1981) obtained partial control of a severe net blotch infection and a 23% yield increase on winter barley with a single spray of propiconazole (Tilt) at flag leaf emergence. Locke et al. (1981) meanwhile reported that the best fungicide control of net blotch was achieved with the systemic material propiconazole and prochloraz. They also determined the best time of application of both fungicides to be during the period between flag leaf emergence and full ear emergence (growth stages 37–58).

Table 3 Effect of treatments on disease severity under field condition during two growing seasons (2017/2018–2018/2019)
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They expected returns for yield increased by 15-20% and exceeded the costs of the spray application. Six fungicides in vivo were tested to evaluate their efficiency in controlling net blotch (EL-Nashar, 1990). It was found that the propiconazole performance as two sprays to either pot or field growth barley was effective for controlling net blotch disease in barley (Chin et al. 2001). A combination of pyraclostrobin + epoxiconazole fungicide was the most effective treatment for controlling the net blotch disease and improving yield (Stepanović et al. 2016). In this respect, Jayasena et al. (2002) evaluated 10 fungicides for control of spot-type net blotch of barley caused by D. teres f. sp. maculata at 3 locations during 1999 and 2000. It was found that under moderate disease severity, yield losses ranged from 17 to 19% depending on location and under high-disease severity, yield losses reached 32%. Pyraclostrobin, propiconazole, and combination of propiconazole with iprodione were effective in controlling the disease, improving yield and grain quality. These results are in agreement with our findings. On the other hand, in bio-fungicides and non-traditional compounds, T34 and silicate-potassium were the best treatments when applied one and two sprays. Polanco et al. (2014) determined whether foliar sprays of potassium silicate, sodium molybdate, or a combination of both, with or without the fungicide azoxystrobin could reduce anthracnose symptoms and increase yield. Foliar application increased silica concentration in bean leaves (Rodrigues et al. 2010). The highest silicate-potassium rate reduced angular leaf spot severity on common bean by 42 and 30% and defoliation by 17 and 33% at pH 5.5 and 10.5, respectively, than the untreated control. Yield also increased by 30 and 43% as rates increased from 0 to 60 g/L with pH 5.5 and 10.5, respectively (Rodrigues et al. 2010). It covered the cuticle of vine leaves and prevented both germination and the penetration of ascospores of Uncinula necator; in contrast, the fungus grew without being impeded on the leaf areas that were not covered. Trichoderma viride exhibited maximum inhibition percentage (73.07 and 72.30%) on mycelial growth of Bipolaris sorokiniana (Singh et al. 2018). Trichoderma strains produce enzymes such as chitinases and β-1,3-glucanases that cause hydrolyze the structural compounds of fungal cell walls, chitin, and β-glucan (Qualhato et al. 2013). The effect of treatments on 1000 K.W. showed a significant difference between the treatments and the control (Table 4). The 1000 K.W. were 55.15, 54.91, and 54.77 g when Decent, Maven, and Montoro were applied as one spray followed by Rush up 53.17 g, Amisto 52.91 g, Curve 51.2 g, Tilt 50.70 g, T34 50.67 g, silicate-potassium 50.61 g, nano-selenium 48.7 g, Bio arc 48.47 g, and Eugenol 46.25 g compared to the control 45.21 g. While in the two sprays the 1000 K.W. to the treatments Decent, Maven, Montoro, Rush up, Amisto, Curve, Tilt, T34, silicate-potassium, nano-selenium, Bio Arc, and eugenol reached to 57.15 g, 56.30 g, 56.10 g, 54.67, 53.01,52.83, 52.63, 52.31,51.35,50.17, and 48.2 g, respectively, when were applied compared to the control which, the 1000 K.W. reached to 45.21 g. The increase over control of 1000 K.W. were observed in one and two sprays, which the increase over control reached 26.41% in Decent, 24.5 and 24.08% in Maven and Montoro, followed by Rush up, Amisto, Curve, Tilt, T34, silicate-potassium, nano-selenium, and Bio Arc. The lowest increase was observed at 6.61% in eugenol. Similar results observed in the 2018/2019 season, which the treatments were effective on increase the 1000 K.W. and increase over control compared to the control, when the treatments were applied as two sprays (Table 4). The mineral-Se and nano-Se selenium spraying treatments had a significant effect on all yield characters such as plant height, number of leaves, number of branches, fresh weight of leaves and stems, dry weight of leaves and stems, chlorophyll (SPAD), and yield quantity and quality, which represented in pod weight, plant yield, and total yield of pea plant (Shedeed et al. 2018). Foliar spray with selenium “nano or mineral-Se” increased vegetative growth, yield, and quality. Moreover, the best use of selenium as a foliar spray was the nano type because it is more safe and friendly in environmental applications compared to the chemical type. Wanga et al. (2013) demonstrated that both soil and foliar Se applications had a positive effect in increasing the Se content in some plants without a negative effect on the micro and macro elements contents. Furthermore, foliar application is effective than soil application. Triazoles fungicides showed greater efficacy in the control net blotch of barley than other fungicides (Moustafa, 2017). B. megaterium was the most effective one (67.8%) followed by Bio Zeid (43%) in control tomato early blight disease (Moustafa et al. 2018). Wang et al. (2010) showed that Botrytis cinerea fungi exposed with eugenol showed strong propidium iodide fluorescence in the cytosol. Eugenol improved the rate of potassium ion and cellular materials in the medium. Fungal exposed to eugenol revealed morphological alterations in hyphae, such as cytoplasmic coagulation, vacuolation, and hyphal shriveling. Eugenol induced H2O2 and increased free Ca2+ in the cytoplasm.

Table 4 Effect of treatments on 1000 kernel weight during growing seasons (2017/2018–2018/2019)
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Decent, Maven, and Montoro fungicides were the best in increasing the grain yield/plot reached to 5.27, 5.23, and 5.23 kg, respectively, while the control reached to 4.19 kg (Table 5). The increase over control reached to 25.77, 24.82, and 24.82% when the treatments, Decent, Maven, and Montoro were applied as two sprays, while the Eugenol occupied the last rank, which the grain yield/plot was 4.38 kg and the increase over control 4.53%.

Table 5 Effect of treatments on grain yield/plot during two growing seasons (2017/2018–2018/2019)
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In the 2018/2019 growing season, the same results were observed, which the best treatments Decent, Maven and Montoro were effective on the grain yield/plot 5.24, 5.22, and 5.21 kg than the control 4.12 kg. The increase over control was observed in Decent (27.18%), followed by Maven and Montoro, which the increase over control was 26.69 and 26.45%, respectively.

Conclusion

The results indicated that the non-rational compounds, biological commercial products, and tested fungicides treatments suppressed the fungal growth in correlation with increased ROS level mainly superoxide early, decreasing the electrolyte leakage and perhaps direct toxic effect of some treatments, as a result, the antioxidants were stimulated accordingly. Therefore, it can be suggested as an alternative to fungicides.