Abstract
The research objective has been to evaluate the effect, unexplored yet, of a mixture of three active ingredients of the herbicide Lumax 537.5 SE: terbuthylazine (T), mesotrione (M), and S-metolachlor (S) on counts of soil microorganisms, structure of microbial communities, activity of soil enzymes as well as the growth and development of maize. The research was based on a pot experiment established on sandy soil with pHKCl 7.0. The herbicide was applied to soil once, in the form of liquid emulsion dosed as follows: 0.67, 13.4, 26.9, 53.8, 108, 215, and 430 mg kg−1 of soil, converted per active substance (M + T + S). The control sample consisted of soil untreated with herbicide. The results showed that the mixture of the above active substances caused changes in values of the colony development (CD) indices of organotrophic bacteria, actinomycetes, and fungi and ecophysiological diversity (EP) indices of fungi. Changes in the ecophysiological diversity index of organotrophic bacteria and actinomycetes were small. The M + T + S mixture was a strong inhibitor of dehydrogenases, to a less degree catalase, urease, β-glucosidase, and arylsulfatase, while being a weak inhibitor of phosphatases. The actual impact was correlated with the dosage. The M + T + S mixture inhibited the growth and development of maize. The herbicide Lumax 537.5 SE should be applied strictly in line with the regime that defines its optimum dosage. Should its application adhere to the manufacturer’s instructions, the herbicide would not cause any serious disturbance in soil homeostasis. However, its excessive quantities (from 13.442 to 430.144 mg kg−1 DM of soil) proved to be harmful to the soil environment.
Keywords: Microbial communities and activity, Microbiota, Enzymatic activity, Ecophysiological biodiversity, Maize
Introduction
Intensive plant production can be destructive to the life and biodiversity of soils (Pose-Juan et al. 2015). The most recent rules governing the market implementation and approval of plant protection chemicals, in line with good experimental practice, are set out in the provisions of the Directives of the Council of the European Parliament (UE (2009) L 309) and the European and Mediterranean Plant Protection Organization [GEP—Good Experimental Practice] (EPPO 2016). Plant protection preparations are chemical compounds or mixtures of chemical compounds containing one or several active ingredients with mutually complementary properties but with different mechanisms of action (EPPO 2016). On the one hand, their application is exceptionally beneficial for agriculture; on the other hand, it is essential to realize what threats they can pose (Włodarczyk 2014; Jones et al. 2011; Kaczmarek et al. 2012). Exceeding manufacturer-recommended doses entails changes in the growth and development of microbial assemblages (Bello et al. 2013), plants (Snarska and Konecki 2010; Tandon et al. 2012), animals (Bro et al. 2016), and people (Nikoloff et al. 2013). Excessive use of plant protection chemicals to control pathogens and weeds can change significantly sensitivity, i.e., practical resistance. Many authors (Wyszkowska and Kucharski 2004; Kucharski and Wyszkowska 2008; Diez and Barrado 2010; Pérez-Bárcena et al. 2014; Siles et al. 2014; Lone et al. 2014; Peña et al. 2015; Kucharski et al. 2016) have demonstrated experimentally that only a small percentage of applied doses of pesticides is engaged in combating target organisms, whereas the remaining amounts permeate into the soil environment, water, air, and living organisms. The persistence of plant protection chemicals depends on the climatic conditions as well as the physical and chemical properties of soil, and in particular on the soil content of organic matter, which limits the transport of active ingredients of herbicides to water (Delgado-Moreno and Peña 2009). A low content of organic matter in degraded soils and fluctuations in moisture, temperature, precipitation, or pH are the factors that can strengthen the impact of herbicidal active substances on the structure and life of soil microbial communities (Soltani et al. 2006; Bello et al. 2013).
Plant protection preparations can produce various effects on microorganisms. As well as being toxic to some microorganisms (Martins et al. 2011; Nikoloff et al. 2013; Baćmaga et al. 2015), they are an excellent source of carbon and energy for others, which is why microorganisms play an important role in bioremediation of soils contaminated with pesticides (Delgado-Moreno and Peña 2009; Idziak and Woźnica 2008). The main source of soil enzymes are soil microorganisms and plant roots; hence, the effect of herbicides on these organisms will invariably influence the enzymatic activity of soil (Jastrzębska and Kucharski 2007; Kucharski and Wyszkowska 2008; Martins et al. 2011; Kucharski et al. 2016). While the effects produced by many herbicides have been thoroughly elucidated (Crouzet et al. 2010), we still lack information regarding the influence of the herbicide Lumax 537.5 SE on soil microorganisms and enzymes. This preparation contains three active substances: terbuthylazine, mesotrione, and S-metolachlor. Although there are studies revealing the effect of each of these substances alone on soil characteristics (Clark and Goolsby 2000; Blanchoud et al. 2007; Delgado-Moreno and Peña, 2009), no reports are available on the influence of all the three ingredients applied simultaneously in a mixture.
The substances found composing the herbicide Lumax 537.5 SE undergo chemical and microbiological degradation in the environment, and the half-life of these substances varies from a few days to about 2 months (O’Connell et al. 1998). The average half-life of terbuthylazine ranges from 11 to 35 days (Navarro et al. 2009), that of mesotrione from 6 to 34 days (Crouzet et al. 2010), and that of S-metolachlor from 24 days at a temperature of 35 °C to 65 days at 10 °C (Long et al. 2014).
Information on the impact of herbicides on the soil’s biological activity, herbicidal effectiveness, or crop yields is extremely helpful in developing crop management strategies, although changes that might be expected in field conditions should be first observed during specially designed laboratory or greenhouse experiments under controlled conditions.
Side effects of pesticides, including herbicides, are a problem that needs to be discussed, particularly in the time of their increasing use in the EU countries (Tejada 2009; Crouzet et al. 2010). The available literature lacks reports on a combined application of terbuthylazine, mesotrione, and S-metolachlor on the soil microbiome. A study was therefore undertaken to assess the interaction of these three active substances contained in Lumax 537.5 SE on the biological life of soil. In order to achieve a reliable assessment of the impact of this herbicide on the biological activity of soil, changes in the soil stability were traced over a period of time and the direction of the impact (inhibition or stimulation) produced by the preparation was determined. In addition, the influence of the mixture of terbuthylazine, mesotrione, and S-metolachlor on the growth and development of maize was evaluated. These complex investigations generated the data implicating what doses could disturb the biochemical processes in soil. Knowledge of the influence of herbicides and their metabolites on these parameters can be used for biomonitoring of the soil environment.
The principal aim of our study was therefore to identify the response of soil microorganisms and enzymes, i.e., dehydrogenases, urease, alkaline phosphatase, acid phosphatase, β-glucosidase, and arylsulfatase, to a mixture of three active substances found in the herbicide Lumax 537.5 SE.
Research material and methods
Soil
The first step was to select soil for our studies, to which aim analyses were made of arable soils at the Research Station in Tomaszkowo, which belongs to the University of Warmia and Mazury in Olsztyn (NE Poland, 53.7167° N, 20.4167° E). The Research Station in Tomaszkowo lies in the Olsztyn Lake District, which is part of the Masurian Lake District. The dominant soil types are the ones classified into Order 3: Brown earths type 3.1; eutrophic brown soils type 3.1. Eutric Cambisols. In respect of the grain size distribution according to the IUSS Working Group WRB: World Reference Base for Soil Resources (2014), the soil selected for our research belongs to subtype 3.1.1 Endocalcaric Cambisols. Soil samples were obtained from the arable humic horizon (0–20 cm depth). Regarding the particle size composition, this soil represented sandy loam. The basic characteristics of this soil are presented in Table 1.
Table 1.
Sand | Silt | Clay | Corg | Ntot | HAC | EBC | CEC | BS | pHKCl |
---|---|---|---|---|---|---|---|---|---|
Ø μm | |||||||||
50–2000 | 2–50 | <2 | |||||||
g kg−1 | mM(+) kg−1 | % | |||||||
720 | 210 | 70 | 7.05 | 0.86 | 8.00 | 111.00 | 119.00 | 93.27 | 7.00 |
HAC hydrolytic acidity, EBC exchangeable base cations, CEC sorption capacity, BS base saturation, C org organic carbon content, N tot total nitrogen content
Herbicide
Three active ingredients were tested: terbuthylazine (T), mesotrione (M), and S-metolachlor (S), which are contained in the preparation Lumax 537.5 SE, a herbicide made by Syngenta Crop Protection. Both top-dressing and foliar application of this preparation are possible. In line with the classification by the Herbicide Resistance Action Committee (HRAC) 2016 (CASAFE 2011 vs 2012; HRAC 2016), Lumax 537.5 SE is a herbicide used for control of monocotyledonous (especially Panicoideae) and dicotylodenous weeds, prior to or immediately after emergence of maize, until the third phase of the crop. The manufacturer’s recommended doses range from 3.5 to 4.0 dm3 ha−1, which equal 1.17 to 1.33 mm3 kg−1. As this was a greenhouse experiment, set up in 3.5-dm3 pots, doses of the herbicide were expressed in quantities per 1 kg of soil. For this purpose, it was assumed that an area of 1 ha holds 3,000,000 kg of soil in a layer of 0 to 20 cm in depth and at the soil density is 1.5 g cm3. Lumax 537.5 SE was applied to soil in the form of aqueous suspension. The innovative feature of the herbicide is that it integrates the action of three active substances: terbuthylazine 6-chloro-N-(1,1-dimethylethyl)-N′-ethyl-1,3,5-triazine-2,4-diamine, mesotrione: 2-[4-(methylsulfony)-2-nitrobenzoyl]-cyclohexane 1,3-dion, and S-metolachlor: (S)-2-chloro-N-(2-ethyl-6-methylphenyl)-N-(2-methoxy-1-methylethyl) acetamide. In addition, the herbicide contains alpha-(tris(1-phenylethyl)phenyl)-omega-hydroxy poly(oxy-1,2-ethanediyl), dioctyl sodium sulfosuccinate, and propane 1,2-diol. One cubic decimetre of the herbicide contains 187.5 g of terbuthylazine, 37.5 g of mesotrione, and 312.5 g of S-metolachlor. These substances differ in their degradability (Table 2). The predicted environmental concentrations (PEC) of the active substances in soil are presented in Table 2.
Table 2.
Active ingredient | ||||||||
---|---|---|---|---|---|---|---|---|
Terbuthylazine (T) | Mesotrione (M) | S-metolachlor (S) | ||||||
Dose | Analysis day | Dose | Analysis day | Dose | Analysis day | |||
30 | 60 | 30 | 60 | 30 | 60 | |||
mg kg−1 | ||||||||
0.234 | 0.093 | 0.037 | 0.047 | 0.003 | 0.000 | 0.3906 | 0.145 | 0.054 |
4.688 | 1.853 | 0.732 | 0.942 | 0.015 | 0.000 | 7.812 | 2.902 | 1.078 |
9.376 | 3.706 | 1.464 | 1.884 | 0.029 | 0.000 | 15.624 | 5.804 | 2.156 |
18.752 | 7.411 | 2.929 | 3.768 | 0.059 | 0.001 | 31.248 | 11.609 | 4.313 |
37.504 | 14.822 | 5.858 | 7.536 | 0.118 | 0.002 | 62.496 | 23.217 | 8.625 |
75.008 | 29.644 | 11.716 | 15.072 | 0.236 | 0.004 | 124.992 | 46.434 | 17.250 |
150.016 | 59.289 | 23.432 | 30.144 | 0.471 | 0.007 | 249.984 | 92.869 | 34.501 |
Research protocol
Having selected the herbicide and the soil, and once the soil properties were determined (Table 1), the subsequent research stage was carried out in a greenhouse, under controlled conditions. Before the trials began, sandy loam soil was passed through a sieve with the mesh size of 5 mm. Three-kilo batches of soil were thoroughly mixed with previously prepared water suspension of Lumax 537.5 SE, containing a mixture of terbuthylazine, mesotrione, and S-metolachlor, and with mineral fertilizers, after which they were transferred to plastic pots. The herbicide was applied to soil once, in the form of water emulsion, in the following doses (converted to the active substances in mg kg−1 of soil): 0.672 (manufacturer’s recommended dose), 13.442, 26.884, 53.768, 107.536, 215.072, and 430.144. The control was composed of soil without any application of the herbicide. Each series of the experiment with the same dose was replicated four times. Higher doses of the mixture of terbuthylazine, mesotrione, and S-metolachlor were incorporated into soil to assess possible threats arising from an incidental and uncontrolled penetration of the above substances into the soil environment. Doses of mineral fertilizers were adjusted to the nutritional requirements of maize and reached (converted to pure component per mg kg−1 of soil) the following: N—100 [CO(NH2)]2, P—44 [KH2PO4], K—100 [KH2PO4 + KCl], Mg—25 [MgSO4·7H2O], Cu—5 [CuSO4·5H2O], Zn—5 [ZnCl2], Mn—5 [MnCl2·4H2O], Mo—2.5 [Na2MoO4·2H2O] and B—0.33 [H3BO4]. The soil moisture content was adjusted with deionized water to the level of 50 % of water capillary capacity. Next, maize of the variety LG 32.58 FAO 250 was sown in pots (five plants per pot). The soil moisture content was constantly monitored and kept constant throughout the experiment. On days 30 and 60, soil samples were taken from each pot with a given dose of the mixture of terbuthylazine, mesotrione, and S-metolachlor, producing an aggregated sample weighing 500 g, which was submitted to microbiological (five replications for each sample) and biochemical (three replications per sample) determinations.
Soil microorganisms
Twice during the experiment, i.e., on days 30 and 60, soil samples with a particular dose of the terbuthylazine, mesotrione, and S-metolachlor mixture underwent microbiological determinations, in five replications, such as counts of oligotrophic and endospore-forming oligotrophic bacteria, on 100-fold diluted organotrophic bacteria—on Bunta and Roviry, Azotobacter spp. bacteria—on Fenglerowa, actinomycetes—on Küster and Williams medium supplemented with nystatin and actidione, and fungi—on the glucose-peptide medium with rose bengal and aureomycin (Martin 1950; Fenglerowa 1965; Parkinson et al. 1971; Alexander 1973; Onta and Hattori Onta and Hattori 1983). All microorganisms were grown at 28 °C.
The impact of terbuthylazine, mesotrione, and S-metolachlor on the structure of communities of organotrophic bacteria, actinomycetes, or fungi and on their ecophysiological diversity was explored. To this aim, on days 30 and 60 of the experiment, appropriate dilutions of the soil solution suspension were inoculated onto Petri dishes, in five parallel replicates, and then incubated at a temperature of 28 °C. For ten consecutive days, grown colonies of microorganisms were counted daily and, based on the attained growth dynamics, conclusions were drawn with respect to the microbiological diversity of the soil. The observations were supported by the colony development index CD (Sarathchandra et al. 1997) and the ecophysiological diversity index EP (De Leij et al. 1993) described in manuscripts by Baćmaga et al. (2015) and Borowik and Wyszkowska (2016).
The values of the CD and EP indices depended on both a dose of the herbicide and the maize’s growing time. The highest values of the CD index were achieved by fungi. An increase in the CD index suggests that the proportion of rapidly growing microorganisms (r-strategists) is on the increase while that of slowly growing microorganisms (K-strategists) is decreasing. The CD index ranges from 10 to 100. The CD index reaches 100 when all colonies of microorganisms isolated from soil have grown after 24 h. The CD index value of 10 means that all colonies have grown on day 10. The CD value of 29 indicates the uniform growth of microbial colonies daily over 10 days.
The EP index ranges from 0 to 1 and informs about the rate at which a colony of microorganisms isolated from soil appears. If the value of this index is 1, it means that the same number of colonies appears on each day over 10 days (De Leij et al. 1993).
Soil enzymes
The activity of enzymes, analogously to the counts of microorganisms, was determined in soil samples obtained on days 30 and 60 of the experiment. The determinations were performed in three replicates for each combination. The activity of the following enzymes was tested: dehydrogenases (EC 1.1)—with the Lenhard method modified by Öhlinger (1996), catalase (EC 1.11.1.6), urease (EC 3.5.1.5), arylsulfatase (EC 3.1.6.1), β-glucosidase (EC 3.2.1.21), acid phosphatase (EC 3.1.3.2), and alkaline phosphatase (EC 3.1.3.1)—according to Alef and Nannipieri (1998).
The following substrates were used: 2,3,5-triphenyl tetrazolium chloride TTC for dehydrogenases, hydrogen peroxide for catalase, 4-nitrophenyl phosphate disodium PNPNa for phosphatases, urea for urease, p-nitrophenyl-β-d-glucopyranoside PNG for β-glucosidase, and potassium 4-nitrophenyl sulfate—PNS for arylsulfatase. All substrates were purchased from Sigma-Aldrich. The activity of the soil enzymes was expressed in the following units, in 1 kg DM of soil h−1: dehydrogenase in micromolar of triphenyl formazan (TPF); catalase—molar O2; urease—millimolar N-NH4; and acid phosphatase, alkaline phosphatase, β-glucosidase, and arylsulfatase—millimolar of p-nitrophenol (PNP). Determinations of the activity of all enzymes except catalase were made on a Perkin-Elmer Lambda 25 spectrophotometer (MA, USA).
Evaluation of the growth and development of maize
Maize was harvested on day 60 of the experiment, in the early heading phase (BBCH 51). The aerial parts of the plants were dried at 65 °C; afterwards, they were weighed and results were processed statistically. The dry matter yield of maize was expressed in grams per pot.
Physicochemical properties of soil
Before the experiment was started, soil samples were submitted to the following determinations: textural composition with a Mastersizer laser particle size analyzer produced by Malvern (Worcestershire, UK), reaction (pH) by potentiometric in an aqueous solution of KCl at the concentration of 1 mol dm3 (ISO 10390, 2005), hydrolytic acidity (HAC) and exchangeable base cations (EBC) by the Kappen method (Klute 1996), content of total nitrogen according to the method by Kjeldahl (ISO 11261: 1995), and organic carbon (Corg) content by the Tiurin method (Nelson and Sommers 1996). Based on the HAC and EBC values, the cation exchange capacity (CEC) and base saturation (BS) of the soil were computed. The following equations were applied: CEC = EBC + HAC; BS = (EBC/CEC) · 100.
Determination of the indices measuring the effect of a mixture of the herbicidal active substances
Based on the counts of microorganisms and activity of soil enzymes, the value of the impact index of a mixture of terbuthylazine, mesotrione, and S-metolachlor was derived from the following formula:
where I I/S is the index of the impact (inhibition or stimulation) of the herbicide, P b is counts of microorganisms or activity of enzymes in the soil polluted with the herbicide, and P k is counts of microorganisms or activity of enzymes in the soil not polluted with the herbicide. If I I/S = 1, it indicates 100 % stimulation of the mixture of terbuthylazine, mesotrione, and S-metolachlor on a given parameter of the soil microbiome; I I/S = −1 indicates 100 % corresponds to inhibition; I I/S = 0 indicates absence of the impact.
Statistical analyses
In line with the principles of rational deduction, the research results were statistically analyzed with the help of the software program STATISTICA 12.0 (Statsoft, Inc., Statistica 2015). For an easier interpretation of the effects of the mixture of terbuthylazine, mesotrione, and S-metolachlor on the soil microbiome, it was helpful to determine the percentage contribution of particular independent variables to the shaping of dependent variables. To this aim, we used an analysis of the measure of an effect η 2 made by analysis of variance (ANOVA). Homogenous groups were distinguished by Tukey’s test, at P = 0.05. Values of Pearson’s simple correlation coefficients were calculated between the dependent and independent variables. The results were submitted to principal component analysis (PCA) interpretation. PCA is an algorithm based on matrix calculations. It consists of determination of primary components which are a linear combination of analyzed variables. PCA is a method of the transformation of observable primary variables into new, mutually orthogonal variables, i.e., principal components. It is possible to establish as many principal components as there were primary variables. PCA allows the user to identify these initial variables which have large influence on the shape of individual principal components. PCA consists in observations of a set of data in a dimensional space, in which the highest variability is presented by the first two analyzed factors, which in our case were doses of the M + T + S mixture and day of analysis. If the vectors representing primary variables reach close to the edges of a circle with the radius equal to 1, then they are very well represented by the first two principal components that create a set of coordinates. If the angle between the vectors is small, it indicates high correlation between these variables. Analysis of variance was employed to assess distances between clusters. The distance between the clusters was measured with Ward’s method, using Euclidean metrics. The varied effects of the mixture of the active substances contained in the herbicide on the soil microbiome were illustrated by the impact (inhibition or stimulation) of the herbicide.
Results
Soil microorganisms
In accord with the proposed hypothesis, counts of all microorganisms depended on both the mixture of terbuthylazine, mesotrione, and S-metolachlor and the duration of the experiment (Table 3). The statistical analysis of the contribution of all the factors to the detected variability η 2 showed that a dose of the preparation decided in the range of 17 % (oligotrophic bacteria) to 56 % (fungi) on the counts of microorganisms, while the date of the analysis affected microbial counts from 10 % (fungi) to 69 % (oligotrophic bacteria). In the unpolluted soil samples (Table 4), counts of organotrophic bacteria, Azotobacter, actinomycetes, and fungi, in contrast to endospore-forming oligotrophic bacteria, were significantly higher in the BBH 51 maize development phase (day 60 of the plants’ growth) than in the BBCH 31 phase (day 30). Counts of oligotrophic bacteria were comparable in both maize development phases.
Table 3.
Variable factors | Microorganisms | |||||
---|---|---|---|---|---|---|
Olig | Oligp | Az | Org | Act | Fun | |
T + M + S dose | 17.104 | 45.450 | 19.502 | 47.439 | 30.658 | 55.534 |
Analysis day | 68.843 | 26.837 | 61.041 | 21.789 | 31.643 | 10.074 |
Dose × time | 11.726 | 26.443 | 12.600 | 24.942 | 25.249 | 30.985 |
Error | 2.327 | 1.270 | 6.857 | 5.830 | 12.450 | 3.408 |
Org organotrophic bacteria, Act actinomycetes, Fun fungi, Olig oligotrophic bacteria, Olig p oligotrophic spores, Az bacteria of the genus Azotobacter, T terbuthylazine, M mesotrione, S S-metolachlor
Table 4.
Analysis day | Olig 109 |
Oligp 108 |
Az 103 |
Org 109 |
Act 109 |
Fun 105 |
---|---|---|---|---|---|---|
30 | 13.549a±1.075 | 5.643a±0.854 | 14.615b±0.386 | 12.119b±1.431 | 9.564b±0.881 | 22.220b±4.807 |
60 | 13.749a±3.231 | 4.322b±0.943 | 55.06a±0.696 | 28.474a±8.842 | 34.609a±6.500 | 56.619a±11.947 |
Average | 13.649 | 4.983 | 34.838 | 20.297 | 22.087 | 39.420 |
The same letters in the columns indicate homogeneous groups
T terbuthylazine, M mesotrione, S S-metolachlor
The excessive doses of the mixture of terbuthylazine, mesotrione, and S-metolachlor applied to soil interfered with the soil’s microbiological equilibrium, measured by the counts of oligotrophic bacteria, endospore-forming oligotrophic bacteria, Azotobacter spp., organotrophic bacteria, actinomycetes, and fungi. In our experiment, the mixture of the three active substances produced a significant negative impact on the soil microbiome (Table 5). This conclusion is supported by the following finding: the vast majority of the herbicide-polluted soil samples produced negative impact index (I I/S) values regarding the effect of the herbicide on microorganisms. Endospore-forming oligotrophic bacteria were an exception. The response of microorganisms to the active ingredients of Lumax 537.5 SE was stronger on day 60 than on day 30 of the experiment. The lowest counts of all microorganisms were observed in soils added the dose of 430.144 mg T + M + S kg−1. The severe stress induced by such a large dose of the herbicide decreased the count of oligotrophic bacteria by 24 %, fungi by 55 %, actinomycetes by 79 %, and Azotobacter spp. by 96 % on day 60. The differentiated response of microorganisms to the presence of Lumax 537.5 SE in soil, depending on the duration of the preparation’s impact, is confirmed by the cluster analysis (CA) carried out according to Ward’s method (Fig. 1). Two groups of microorganisms similar in response to the soil pollution with terbuthylazine, mesotrione, and S-metolachlor can be distinguished from the achieved dendrogram. There are some sub-groups seen within the two major groups, which justifies the claim that organotrophic bacteria, Azotobacter spp. bacteria, and actinomycetes responded differently to the soil contamination on the second and on the first dates of analyses. It is worth emphasizing that the greatest similarity in the response to the pollution with the herbicide occurred between organotrophic bacteria on day 30 and oligotrophic bacteria on day 60.
Table 5.
Dose T + M + S (mg kg−1) | Microorganisms | |||||
---|---|---|---|---|---|---|
Olig | Oligp | Az | Org | Act | Fun | |
Analysis day 30 | ||||||
0.6721 | −0.102b±0.040 | 0.152c±0.099 | −0.135b±0.035 | −0.105a±0.043 | −0.147a±0.044 | −0.101a±0.064 |
13.442 | −0.164d±0.052 | 0.292a±0.050 | −0.005a±0.005 | −0.191b±0.025 | −0.240b±0.063 | −0.152b±0.069 |
26.884 | −0.247e±0.030 | 0.181c±0.085 | −0.522d±0.246 | −0.208b±0.038 | −0.228b±0.048 | −0.223cd±0.069 |
53.768 | −0.137c±0.045 | 0.042e±0.018 | −0.674e±0.238 | −0.216b±0.043 | −0.266b±0.060 | −0.199c±0.080 |
107.536 | −0.114bc±0.047 | −0.151f±0.071 | −0.888f±0.080 | −0.310c±0.092 | −0.418c±0.129 | −0.103a±0.044 |
215.072 | −0.053a±0.037 | 0.104d±0.078 | −0.746e±0.267 | −0.346c±0.039 | −0.504d±0.086 | −0.220cd±0.066 |
430.144 | −0.029a±0.027 | 0.246b±0.171 | −0.339c±0.088 | −0.440d±0.059 | −0.622e±0.077 | −0.250d±0.080 |
Average | −0.121 | 0.124 | −0.473 | −0.259 | −0.346 | −0.178 |
Analysis day 60 | ||||||
0.6721 | −0.075a±0.028 | 0.312c±0.065 | 0.228a±0.131 | 0.389a±0.126 | −0.048a±0.014 | 0.052a±0.030 |
13.442 | −0.194b±0.020 | 0.429a±0.062 | −0.506b±0.058 | −0.275c±0.066 | −0.454b±0.027 | −0.216b±0.070 |
26.884 | −0.283cd±0.030 | 0.374b±0.093 | −0.836c±0.031 | −0.278cd±0.061 | −0.457b±0.060 | −0.249b±0.078 |
53.768 | −0.373e±0.027 | 0.230d±0.037 | −0.959c±0.028 | −0.282cd±0.036 | −0.789c±0.020 | −0.313c±0.042 |
107.536 | −0.446f±0.032 | 0.064e±0.055 | −0.966c±0.046 | −0.333d±0.033 | −0.855c±0.015 | −0.431d±0.064 |
215.072 | −0.318d±0.020 | −0.190f±0.075 | −0.978c±0.020 | −0.333d±0.045 | −0.798c±0.011 | −0.469d±0.093 |
430.144 | −0.238bc±0.032 | −0.412g±0.113 | −0.959c±0.021 | −0.029b±0.040 | −0.793c±0.025 | −0.547e±0.062 |
average | −0.275 | 0.115 | −0.711 | −0.163 | −0.599 | −0.310 |
The same letters in the columns indicate homogeneous groups
Org organotrophic bacteria, Act actinomycetes, Fun fungi, Olig oligotrophic bacteria, Olig p oligotrophic spores, Az bacteria of the genus Azotobacter, T terbuthylazine, M mesotrione, S S-metolachlor
The effect of the mixture of terbuthylazine, mesotrione, and S-metolachlor on the consortium of bacteria can be summarized by presenting the dispersion of counts of individual groups of microorganisms in a set of the two first principal components (Fig. 2). The first principal component carries 57.98 % of the total variance of the variables describing the abundance of microorganisms. Along this axis, there are vectors characterized by the high negative fit representing primary variables of organotrophic bacteria, Azotobacter spp. bacteria, and fungi, which were highly significantly positively correlated. The vertical axis, along which there are vectors corresponding to oligotrophic bacteria and endospore-forming oligotrophic bacteria, explains 26.19 % of the total variance of the variables. The projection of cases on the plane of factors proves that the highest growth of bacteria Azotobacter, organotrophic bacteria, actinomycetes, and fungi was noted in non-polluted soil in the second date of analyses and in the soil supplemented with the dose of Lumax 537.5 SE recommended by the producer. T + M + S did not cause a decrease in the count of endospore-forming oligotrophic bacteria. Our analysis of the distribution of particular cases, representing the counts of microorganisms and the percent of the observed variability of η 2, shows that the soil microbiome was determined by both a dose of the herbicide as well as the duration of the experiment.
The mixture of terbuthylazine, mesotrione, and S-metolachlor, by altering the living conditions for soil microbiota, led to the structural differentiation of microorganisms (Tables 6 and 7). The variation of organotrophic bacteria (days 30 and 60) and actinomycetes (day 60) was higher in non-polluted than in polluted soils, whereas fungi (day 30) and actinomycetes (day 30) were higher in non-contaminated than in contaminated soils (Table 7).
Table 6.
Dose T + M + S (mg kg−1) | Microorganisms | |||||
---|---|---|---|---|---|---|
Organotrophic bacteria | Actinomycetes | Fungi | ||||
Analysis day | ||||||
30 | 60 | 30 | 60 | 30 | 60 | |
0 | 36.816a±1.712 | 44.555a±10.419 | 29.635a±1.052 | 34.739a±1.727 | 40.159abc±5.390 | 45.022abc±4.092 |
0.6721 | 32.512c±2.940 | 40.522c±4.432 | 24.997b±0.351 | 25.864b±0.839 | 35.078bc±4.376 | 46.932bc±2.756 |
13.442 | 33.235bc±1.646 | 34.376bc±1.869 | 22.806bcd±1.031 | 29.167bcd±2.508 | 37.481bc±1.441 | 47.288bc±2.662 |
26.884 | 31.853c±1.056 | 38.785c±2.483 | 24.017bc±1.494 | 29.230bc±1.442 | 34.509c±1.671 | 41.524c±6.454 |
53.768 | 35.397ab±3.292 | 33.674ab±3.735 | 22.916bcd±1.263 | 23.784bcd±5.295 | 40.528abc±4.376 | 52.896abc±4.606 |
107.536 | 33.363bc±2.886 | 27.572bc±1.001 | 22.864bcd±3.383 | 26.860bcd±5.534 | 41.077ab±2.026 | 56.898ab±6.312 |
215.072 | 32.544c±1.131 | 37.429c±4.583 | 20.924d±4.542 | 24.166d±4.758 | 44.485a±6.511 | 47.131a±4.379 |
430.144 | 31.123c±2.183 | 26.604c±1.348 | 22.022cd±2.205 | 21.269cd±6.839 | 41.000ab±5.014 | 47.458ab±3.994 |
Average | 33.355 | 35.440 | 23.773 | 26.885 | 39.290 | 48.144 |
The same letters in the columns indicate homogeneous groups
T terbuthylazine, M mesotrione, S S-metolachlor
Table 7.
Dose T + M + S (mg kg−1) | Microorganisms | |||||
---|---|---|---|---|---|---|
Organotrophic bacteria | Actinomycetes | Fungi | ||||
Analysis day | ||||||
30 | 60 | 30 | 60 | 30 | 60 | |
0 | 0.897ab±0.038 | 0.758d±0.085 | 0.940a±0.039 | 0.818de±0.056 | 0.555a±0.100 | 0.562ab±0.075 |
0.6721 | 0.887b±0.049 | 0.781cd±0.043 | 0.862b±0.080 | 0.877ab±0.064 | 0.561a±0.102 | 0.549ab±0.076 |
13.442 | 0.896ab±0.038 | 0.808bcd±0.053 | 0.859b±0.060 | 0.841bcde±0.048 | 0.412abc±0.082 | 0.581a±0.059 |
26.884 | 0.930a±0.050 | 0.773d±0.047 | 0.864b±0.033 | 0.811e±0.038 | 0.353c±0.066 | 0.602a±0.057 |
53.768 | 0.894ab±0.015 | 0.881a±0.039 | 0.863b±0.061 | 0.829cde±0.098 | 0.388bc±0.171 | 0.566ab±0.042 |
107.536 | 0.889b±0.059 | 0.838ab±0.025 | 0.869b±0.053 | 0.858bcd±0.087 | 0.399bc±0.054 | 0.578a±0.092 |
215.072 | 0.871b±0.060 | 0.830bc±0.037 | 0.875b±0.061 | 0.906a±0.058 | 0.525ab±0.099 | 0.461b±0.157 |
430.144 | 0.896ab±0.022 | 0.800bcd±0.037 | 0.887b±0.029 | 0.870abc±0.114 | 0.370bc±0.0193 | 0.327c±0.097 |
Average | 0.895 | 0.808 | 0.877 | 0.851 | 0.445 | 0.528 |
r | −0.255 | 0.165 | 0.047 | 0.537 | −0.289 | −0.948 |
The same letters in the columns indicate homogeneous groups
T terbuthylazine, M mesotrione, S S-metolachlor
The colony development (CD) index of organotrophic bacteria ranged from 26.604 (430.144 mg T + M + S kg−1 DM of soil, 60 days) to 44.555 (0 mg T + M + S kg−1 DM of soil, 60 days), that of actinomycetes from 20.924 (215.072 mg T + M + S kg−1 DM of soil, 30 days) to 34.739 (0 mg T + M + S kg−1 DM of soil, 60 days), and that of fungi from 34.509 (26.884 mg T + M + S kg−1 DM of soil, 30 days) to 56.898 (107.536 mg T + M + S kg−1 DM of soil, 60 days). Leaving aside the question of the doses of Lumax 573.5 SE, higher mean values of the CD index for organotrophic bacteria, actinomycetes, and fungi were noted on day 60 than on day 30 of the experiment. Among all the groups of microorganisms, fungal colonies grew most rapidly (the average CD value ranged from 39.290 to 48.144), while those of actinomycetes were observed to grow the most slowly (the mean CD value from 23.773 to 26.885).
The variation in counts and groups of soil microorganisms is illustrated by the ecophysiological diversity index (EP). The lowest EP values were determined for fungi, and higher ones for organotrophic bacteria and actinomycetes (Table 7). The EP values for organotrophic bacteria and actinomycetes only slightly depended on the degree of soil contamination with the herbicide, although the higher doses of T + M + S significantly depressed the EP index value of fungi. The highest average EP index value was noted for organotrophic bacteria (0.895) on day 30 of the experiment, while the lowest one was computed for fungi (0.445) on the same day. Intermediate values of EP were found for actinomycetes (from 0.851 to 0.877).
Activity of soil enzymes
The percent of observed variability of the activity of soil enzymes in this experiment, like the counts of microorganisms, was most strongly dependent on a dose of the mixture of terbuthylazine, mesotrione, and S-metolachlor, e.g., acid phosphatase in 27 %, catalase in 43 %, arylsulfatase in 52 %, alkaline phosphatase in 57 %, dehydrogenases in 83 %, urease in 89 %, and β-glucosidase in 92 % (Table 8). In soil unpolluted with the T + B + S mixture, the activity of just one enzyme, namely alkaline phosphatase, was significantly higher on day 30 of the experiment than on day 60 (Table 9). The activity of the other six enzymes was higher on day 60.
Table 8.
Variable factors | Enzymes | ||||||
---|---|---|---|---|---|---|---|
Deh | Cat | Ure | Pac | Pal | Aryl | Glu | |
T + M + S dose | 83.085 | 42.539 | 88.649 | 26.995 | 57.002 | 51.917 | 91.927 |
Analysis day | 4.481 | 0.174 | 0.023 | 62.427 | 37.706 | 2.142 | 0.295 |
Dose × time | 12.377 | 56.520 | 11.059 | 10.213 | 1.053 | 44.481 | 7.199 |
Error | 0.057 | 0.767 | 0.269 | 0.365 | 4.238 | 1.459 | 0.578 |
Deh dehydrogenases, Cat catalase, Ure urease, Pac acid phosphatase, Pal alkaline phosphatase, Aryl arylsulfatase, Glu β-glucosidase, T terbuthylazine, M mesotrione, S S-metolachlor
Table 9.
Analysis day | Dehydrogenases | Catalase | Urease | Acid phosphatase | Alkaline phosphatase | Arylsulfatase | β-Glucosidase |
---|---|---|---|---|---|---|---|
μM TFF | M O2 | mM N-NH4 | mM PNP | ||||
30 | 14.154b±0.743 | 0.212b±0.000 | 0.607b±0.060 | 1.654b±0.100 | 2.980a±0.080 | 0.269b±0.015 | 0.285b±0.042 |
60 | 30.176a±0.632 | 0.340a±0.006 | 0.781a±0.036 | 3.121a±0.119 | 2.682b±0.078 | 0.438a±0.010 | 0.466a±0.009 |
Average | 22.165 | 0.276 | 0.694 | 2.388 | 2.831 | 0.354 | 0.376 |
The same letters in the columns indicate homogeneous groups
T terbuthylazine, M mesotrione, S S-metolachlor
It is evident from the analysis of changes in the biochemical properties of soil that dehydrogenases were the most sensitive enzymes, regardless of the soil incubation period (Table 10). Even a low dose of T + M + S such as 13.442 mg kg−1 DM of soil decreased the activity of this enzyme by over 50 % relative to the control sample. A decrease in the activity of enzymes in excess of 50 % was induced by the dose of 53.768 mg T + M + S in regard to urease on both dates of analysis and catalase on day 60, as well as the dose of 215.072 mg T + M + S with respect to arylsulfatase and β-glucosidase on day 60. The tested substances produced a lasting inhibitory effect on the analyzed enzymes, which persisted and even intensified over time. Acid phosphatase was an exception in that its activity on day 60 of the experiment was less inhibited by the herbicide than on day 30. However, with respect to their sensitivity to the tested preparation, the enzymes can be ordered as follows: Deh > Pac > Ure > Glu > Cat > Pal > Aryl on day 30 and Deh > Cat > Ure > Glu > Aryl > Pac > Pal on day 60.
Table 10.
Dose T + M + S (mg kg−1) | Dehydrogenases | Catalase | Urease | Acid phosphatase | Alkaline phosphatase | Arylsulfatase | β-Glucosidase |
---|---|---|---|---|---|---|---|
Analysis day 30 | |||||||
0.6721 | −0.056a±0.018 | −0.071d±0.000 | 0.329a±0.035 | −0.011a±0.006 | 0.114a±0.045 | 0.041c±0.024 | 0.035a±0.018 |
13.442 | −0.503b±0.010 | −0.269g±0.032 | 0.015b±0.007 | −0.307b±0.035 | 0.007b±0.004 | 0.056b±0.020 | −0.004b±0.003 |
26.884 | −0.539b±0.004 | 0.014c±0.001 | −0.194c±0.014 | −0.320bc±0.068 | −0.002b±0.002 | 0.052b±0.017 | −0.081c±0.025 |
53.768 | −0.741c±0.014 | −0.208f±0.000 | −0.511f±0.036 | −0.349c±0.044 | −0.035c±0.011 | −0.059e±0.016 | −0.084c±0.031 |
107.536 | −0.791c±0.015 | 0.052b±0.004 | −0.405e±0.014 | −0.405d±0.015 | −0.097d±0.028 | −0.112f±0.039 | −0.126d±0.047 |
215.072 | −0.857d±0.003 | 0.033a±0.000 | −0.402e±0.022 | −0.409d±0.003 | −0.155e±0.055 | 0.015d±0.013 | −0.221e±0.057 |
430.144 | −0.903d±0.000 | −0.108e±0.031 | −0.357d±0.012 | −0.411d±0.004 | −0.178e±0.044 | 0.074a±0.027 | −0.225e±0.026 |
Average | −0.627 | −0.080 | −0.218 | −0.316 | −0.049 | 0.010 | −0.101 |
Analysis day 60 | |||||||
0.6721 | −0.286a±0.005 | −0.253b±0.000 | 0.288a±0.017 | 0.292a±0.040 | 0.064a±0.030 | 0.039a±0.010 | −0.238a±0.008 |
13.442 | −0.634b±0.019 | −0.238b±0.033 | −0.012b±0.007 | 0.125b±0.037 | −0.022b±0.009 | −0.128b±0.028 | −0.275b±0.002 |
26.884 | −0.672b±0.011 | −0.779e±0.019 | −0.273c±0.024 | 0.039c±0.024 | −0.095c±0.033 | −0.288c±0.043 | −0.294b±0.004 |
53.768 | −0.919c±0.002 | −0.500c±0.018 | −0.789d±0.037 | −0.286d±0.015 | −0.110d±0.016 | −0.521e±0.017 | −0.438c±0.025 |
107.536 | −0.944c±0.006 | −0.703d±0.018 | −0.818e±0.039 | −0.304d±0.022 | −0.174e±0.014 | −0.477d±0.029 | −0.498d±0.013 |
215.072 | −0.960c±0.008 | −0.668d±0.019 | −0.849ef±0.015 | −0.434e±0.037 | −0.204f±0.017 | −0.628f±0.035 | −0.506d±0.005 |
430.144 | −0.981c±0.001 | −0.132a±0.036 | −0.598f±0.014 | −0.423e±0.024 | −0.249g±0.043 | −0.612f±0.042 | −0.517d±0.006 |
Average | −0.771 | −0.468 | −0.436 | −0.141 | −0.113 | −0.373 | −0.395 |
The same letters in the columns indicate homogeneous groups
T terbuthylazine, M mesotrione, S S-metolachlor
The PCA inclusive of the persistence of the T + M + S mixture in the soil demonstrated some detailed and significant relationships (Fig. 3). Both after 30 and 60 days of the experiment, the distribution of vectors around the axis representing the first principal component, which described 60.27 % of the total variance of the data, points out that the activity of all the enzymes was negatively correlated with this variable, irrespective of a dose of the herbicide. The PCA results proved that the inhibition of the soil’s enzymatic activity was stronger on day 60 than on day 30, which was confirmed by the distribution of cases on the plane and their position relative to the vectors.
The growth and development of maize
The key determinant of the phytotoxicity of the mixture of terbuthylazine, mesotrione, and S-metolachlor was the dosage of the herbicide (Fig. 4). It was demonstrated unquestionably that the above substances, if applied in the manufacturer-recommended dose, did not cause any irregularities in the growth and development of maize. However, when introduced to soil in excessive quantities, they contributed to a dramatic inhibition of the crop’s growth. The characteristic symptoms of maize’s biological processes being distorted by the stress caused by soil contamination with Lumax 537.5 SE were the deformation of the root system and chlorosis of the leaves. Doses of T + M + S above 53.768 mg kg−1 DM of soil were particularly toxic, having led to the necrosis of maize plants in the BBCH 13 phase.
Discussion
Soil microorganisms
The influence of herbicides on the microbiological and biochemical activity of soil cannot be described by simple relationships because pesticides are often composed of not one but two or three active ingredients. Such preparations are more toxic to the soil microbiome (Tejada 2009). This is what occurred in our study concerning the herbicide Lumax 537.5 SE, which inhibited the multiplication of oligotrophic, organotrophic, and Azotobacter spp. bacteria as well as actinomycetes and fungi, while stimulating the growth of endospore-forming oligotrophic bacteria. The microorganisms which were distinctly most sensitive to the tested herbicide were Azotobacter spp. bacteria. The sensitivity of these bacteria to pesticides was also reported by Milošević et al. (2004) and Elbashier et al. (2016). The varied response of microorganisms to tested pollution is associated with their succession (Pérez-Bárcena et al. 2014) induced by the death of sensitive microorganisms and reproduction of more tolerant ones (Crouzet et al. 2010; Kucharski et al. 2016). Changes in the multiplication of microorganisms in soil polluted with T + M + S which were observed in our experiment may have also been caused by the fact that the active substances of Lumax 537.5 SE undergo chemical and microbiological degradation at different rates and therefore affect the soil microbiome differently. The half-life of these substances varies from a few days to over a month (O’Connell et al. 1998), and one of them, i.e., metolachlor, is distinguished by its high mobility and solubility. The influence of herbicides containing more than one active substance is bound to be a complex issue. Nonetheless, even the most persistent substances in the soil environment can be metabolized by microorganisms. According to Arbeli and Fuentes (2007), the highest capability to degrade pesticides, including herbicides, is demonstrated by microorganisms of the genera Arthrobacter, Pseudomonas, Bacillus, Mycoplana, Agrobacterium, Corynebacterium, Flavobacterium, Nocardia, and Trichoderma. The biodegradation of Lumax 537.5 SE is actively participated by the microorganisms specified in Table 11. The biodegradation of pesticides in the soil environment is most often achieved by a consortium of microorganisms rather than single species (Castillo et al. 2006). This is the reason why autochthonous bacteria present in natural soil ecosystems play such an important role.
Table 11.
Substances | Microorganisms | References |
---|---|---|
Terbuthylazine | Escherichia coli, Pseudomonas sp., Rhodococcus, Fusarium oxysporum, Aspergillus oryzae, Lentinula edodes (shiitake mushroom), Penicillium brevicompactum, Lecanicillum sakenae | Martínez-Iñigo et al. 2010, Aranaz et al. 2008, Johannesen and Aamand 2003, Grenni et al. 2009, Pinto et al. 2012 |
Mesotrione | Bacillus megaterium, Bacillus sp., Vibrio fischeri, Pantoea ananatis, Tetrahymena pyriformis | Bardot et al. 2015, González et al. 2012, Bonnet et al. 2008, Pileggi et al. 2012 |
S-Metolachlor | Bacillus simplex, Moraxella sp., Moraxella macacae, Moraxella bovis, Xanthobacter, Enterobacter hormaechei, Enterobacter cancerogenus, Enterobacter kobei, Enterobacter aerogenes, Enterobacter asburiae, Enterobacter amnigenus, Enterobacter nimipressuralis, Leclercia adecarboxylata, Tatumella ptyseos, Pantoea ananatis, Pantoea agglomerans, Pantoea stewartii, Kosakonia cowanii, Salmonella bongori, Kosakonia radicincitans, Kosakonia oryzae, Klebsiella variicola, Klebsiella pneumoniae, Pseudomonas alcaligenes, Candida xestobii, Beauveria bassiana | Munoz et al. 2011, Villarreal et al. 1991, Martins et al. 2007, Kos and Celar 2013, Martins et al. 2011 |
The application of the mixture of terbuthylazine, mesotrione, and S-metolachlor contributed to the disturbance of the balance in the soil ecosystem, causing changes not only in the counts of microorganisms but also in the structure of soil-dwelling microbial communities and their diversity. The stability of the soil microbiome in our study was evaluated according to the colony development index (CD) of microorganisms (Sarathchandra et al. 1997) and the index of ecophysiological diversity (EP) of microorganisms (De Leij et al. 1993). Both of these indices are based on the concept of r- and K-strategists. These indicators allowed us to make observations of changes in the proportions of rapidly and slowly growing microorganisms because the genetic differences between microorganisms enable them to adjust to changes in the environment and to survive (De Leij et al. 1993; Borowik and Wyszkowska 2016).
The ecophysiological diversity (EP) index provides more information about the response of microorganisms to the soil contamination with the herbicide Lumax 537.5 SE. Having analyzed the values of this index, we can conclude that organotrophic bacteria and actinomycetes were characterized by the highest diversity. This in turn corresponds to the highest ecophysiological diversity. In our research, an excess amount of the M + T + S mixture significantly depressed the ED index value of fungi, which suggests that sensitive species were supplanted by more tolerant ones.
The various effects of the herbicide on the diversity of microorganisms observed in our experiment are not a unique phenomenon. Similar changes in the diversity of soil microorganisms were noticed by Lone et al. (2014), who tested soproturon, metribuzin, clodinafop propargyl, atlantis, and sulfosulfuron. Kucharski et al. (2016), having applied the herbicide Boreal 58 WG to soil, observed an increase in the CD index of organotrophic bacteria, actinomycetes, and fungi compared to their populations in the control soil. Baćmaga et al. (2015) also demonstrated that such active ingredients as diflufenican, mesosulfuron-methyl, and iodosulfuron-methyl-sodium modified values of the colony development (CD) and the ecophysiological diversity (EP) indices of organotrophic bacteria. In turn, a mixture of pethoxamide and terbuthylazine only slightly affected these parameters (Tomkiel et al. 2014).
Soil enzymes
The soil pollution with the mixture of terbuthylazine, mesotrione, and S-metolachlor, by disturbing the metabolic profile of the soil, changed the activity of enzymes which participate in the transformations of carbon, nitrogen, phosphorus, and sulfur. A change in the biochemical properties of soil induced by excessively high doses of Lumax 537.5 SE was manifested by the indices measuring the effect of the herbicide on individual enzymes. The determination of these indices enabled us to state objectively whether the analyzed ecosystem was stable and able to sustain an appropriate balance. The coefficients of the impact of T + M + S mixture on the activity of soil enzymes in nearly all cases, irrespective of the date of soil sampling (the growth phase of maize), had negative values. They therefore pointed up the correlation between the growing disturbance of the soil’s homeostasis and the increasing inhibition caused by the tested preparation. Dehydrogenases were demonstrably sensitive to the excess M + T + S mixture, in contrast to alkaline phosphatase and acid phosphatase, which were the most tolerant. Dehydrogenases were also the most sensitive soil enzymes to the herbicide Apyros 75 WG (Kucharski and Wyszkowska 2008) and the mixture of diflufenican, mesosulfuron-methyl, and iodosulfuron-methyl-sodium (Baćmaga et al. 2015). Similar results were delivered by Lone et al. (2014), who tested six herbicides (soproturon, metribuzin, clodinafop propargyl, atlantis, and sulfosulfuron) and showed that dehydrogenases were most sensitive to the applied chemicals. In our study, catalase, urease, β-glucosidase, and arylsulfatase responded similarly to dehydrogenases to the tested application of Lumax 537.5 SE and therefore these enzymes can be seen as an additional indicator in an evaluation of soil pollution monitored by the activity of dehydrogenases. Alkaline and acid phosphatase proved to be rather unhelpful in this regard.
Many researchers (Martins et al. 2011; Nikoloff et al. 2013; Bello et al. 2013) share the opinion that a decreased enzymatic activity of soil is the response to a biotic stress induced by soil contamination with herbicides. Other studies as well (Sofo et al. 2012, Vlădoiu et al. 2015) implicate that herbicides, given certain circumstances, can act as strong inhibitors of enzymes. Tejada (2009) also showed that a mixture of glyphosate and diflufenican had a stronger inhibitory effect on the microbiological activity of soil than each of these substances applied separately. This impact was more evident in loamy sand than in sandy loam. Such observations lead to the conclusion that degradation of individual pesticides is strictly dependent not only on the duration of their presence in soil but also on the physicochemical properties of soil. The soil in our study was a sandy one of pHKCl = 7.00 and carbon content of 7.05 g C kg−1 DM of soil. It was therefore the type of soil which creates very good conditions for the development of soil microbiota. This observation is important in that that some microorganisms were able to use the M + T + S mixture as a source of nutrients, which consequently may have affected the biosynthesis of enzymes via induction or repression of processes. Both pesticides and their metabolites, which often become more toxic than the original substances, can also affect the physiological process of microorganisms, e.g., the lysis of cells or modification of the cell membrane, and this can contribute to changes in the activity of soil enzymes (Floch et al. 2011, Singh and Goshal 2010). Persistent exposure of a given ecosystem to a variety of stimuli leads to the formation of adequate defense mechanisms, able to sustain an adequate biological equilibrium of soil (Griffiths and Philippot 2013).
To sum up our discussion on the effect of herbicide on the biological activity of soil, both our results and references (Bello et al. 2013; Kucharski et al. 2016) suggest that herbicides applied according to the guidelines of good agricultural practice either do not alter the enzymatic activity of soils or they cause transient fluctuations in the activity of some enzymes. A dramatic decrease in the enzymatic activity is noted in a soil environment which contains excessive quantities of herbicides.
Growth and development of maize
The microbiological and enzymatic characteristics of soil are a reflection of its fertility, which in turn correlates with the volume and quality of yields. Lumax 537.5 SE has been in use in Poland since 2008. It is one of the most popular herbicides applied in maize fields. The active substances of this preparation did not produce a negative effect on the growth and development of maize when applied in the optimum dose. All the other doses (higher than recommended) were toxic to both weeds and maize. This finding proves that levels of herbicides as well as their side effect on crops and the soil environment should be monitored constantly, especially when weed eradication is intensive.
Our results concerning the impact of the M + T + S mixture on plants correspond to the results obtained by Bettiol et al. (2016), who assessed the phytotoxic effect of three herbicides (chloroxynil, bromoxynil, and ioxynil) on the germination of seeds and elongation of roots of Leptidium sativum, finding out that ioxynil was the most toxic preparation. Wyszkowska (2002), who tested trifluarin, the active ingredient of the herbicide Treflan 480 EC, showed the negative effect of this chemical compound on the growth of spring oilseed rape and white mustard. These plants also responded negatively, by producing lower yields, to the excessive amount of the herbicide Triflurotox 250 EC (Wyszkowska and Kucharski 2004). Kucharski and Wyszkowska (2008) demonstrated an inhibitory effect of Apyros 74 WG on the growth of oat. Baćmaga et al. (2014) reported a negative influence of a mixture of diflufenican, mesosulfuron-methyl, and iodosulfuron-methyl-sodium on spring wheat, while Elbashier et al. (2016) obtained such results testing the effect of Sevin on carrot. Based on our results as well as references (Schmalenberger and Tebbe 2002; Bettiol et al. 2016), it can be concluded that when excessive amounts of herbicides enter the soil environment they disturb the proper growth and development of crops. The symptoms observed under such conditions include retardation of the growth; delayed flowering; undeveloped leaves; chlorosis; blanching; browning or redding of leaves; their crispation, curling, and wilting; and consequently, the necrosis of plants.
Conclusions
Herbicides can be toxic not only to the weeds that they are intended to eradicate but also to crops. When permeating into soil, herbicides can pose a threat to soil-borne organisms and to plants. This study describes the influence of a mixture of three active substances: terbuthylazine, mesotrione, and S-metolachlor contained in the herbicide Lumax 537.5 SE, on soil microorganisms, soil enzymes, and maize. It was demonstrated that the stress induced by these chemical compounds led to changes in the values of the colony development (CD) indices of organotrophic bacteria, actinomycetes, and fungi and ecophysiological diversity (EP) indices of fungi. Changes in the ecophysiological diversity index of organotrophic bacteria and actinomycetes were small.
A mixture of these chemical compounds was also a strong inhibitor of dehydrogenases, to a less degree urease, β-glucosidase, catalase, and arylsulfatase, and a weak inhibitor of phosphatase. Excessive amounts of the herbicide Lumax 537.5 SE in soil inhibited the growth and development of maize. The results prove unquestionably that the tested herbicide should be applied strictly in line with the application regime, including its dosage. When the application of the herbicide respected the manufacturer’s recommendations, the preparation did not cause any larger disturbances in the soil’s homeostasis. However, its excessive doses (from 13.442 to 430.144 mg kg−1 DM of soil) proved to be dangerous. The results presented above confirm that a combination of microbiological and biochemical properties with a simultaneous determination of the response of crops enables a complex assessment of the quality of soil exposed to herbicides.
Acknowledgments
This study was supported by research grant No. N N305 386138 from the National Science Center and by the Ministry of Science and Higher Education funds for statutory activity.
Contributor Information
Agata Borowik, Email: agata.borowik@uwm.edu.pl.
Jadwiga Wyszkowska, Email: jadwiga.wyszkowska@uwm.edu.pl.
Jan Kucharski, Email: jan.kucharski@uwm.edu.pl.
Małgorzata Baćmaga, Email: m.bacmaga@uwm.edu.pl.
Monika Tomkiel, Email: monika.tomkiel@uwm.edu.pl.
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