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Article

Germination Ecology of Brachiaria eruciformis in Australia and Its Implications for Weed Management

by
Ahmadreza Mobli
1,2,*,
Mahboobeh Mollaee
1,2,
Sudheesh Manalil
2,3 and
Bhagirath Singh Chauhan
2
1
Department of Agrotechnology, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad 91775-1163, Iran
2
The Centre for Crop Science, Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Gatton, 4343 Queensland, Australia
3
Amrita School of Agricultural Sciences, Amrita Vishwa Vidyapeetham, Coimbatore 641112, India
*
Author to whom correspondence should be addressed.
Submission received: 29 November 2019 / Revised: 19 December 2019 / Accepted: 20 December 2019 / Published: 24 December 2019
(This article belongs to the Special Issue Ecologically Sustainable Weed Management in Cropping Systems)

Abstract

:
Brachiaria eruciformis (Sm.) Griseb. is a noxious weed of Australia and other parts of the world. The effects of different environmental conditions on the seed germination and seedling emergence of three biotypes sourced from different cropping systems (mungbean field, sorghum field, and fenceline) of this weed were evaluated. There were no differences in the response of biotypes to the evaluated factors; therefore, the data was pooled across the biotypes. The highest germination rate was observed at 30/20 °C, and seeds germinated both in light and dark conditions. Seed germination was influenced by different sodium chloride (NaCl) concentrations and water potentials, and no seeds germinated at 200 mM NaCl and −0.8 MPa water potential. Seeds germinated (>70%) at a broad range of pH, from 4 to 10. Compared with seeds sown on the soil surface, a burial depth of 4 cm reduced the seedling emergence by 84%. Similarly, a sorghum residue amount of 4 t ha−1 on the soil surface reduced the seedling emergence by 65%, compared with no sorghum residue cover. No seedlings emerged from seeds buried at 8 cm depth and >4 t ha−1 sorghum residue. This study suggests that burying seeds deep into the soil through tillage or employing a residue cover on the soil surface can reduce B. eruciformis emergence.

1. Introduction

Brachiaria eruciformis (Sm.) Griseb. [synonym = Moorochloa eruciformis (Sm.) Veldkamp or Panicum eruciforme Sm.; sweet summer grass or sweet signal-grass] is a noxious weed affecting cropping agricultural productivity in the tropic and subtropic zones of Africa, Americas, Asia, Australia, and some parts of Europe [1,2,3,4,5,6]. It is an annual grass belonging to the Poaceae family, which can be easily identified due to its red-purple leaf margins and leaf sheaths. This plant grows up to 60 cm high with a green leaf blade and simple and alternate leaves that are 10–15 cm in length. The small clump of this weed is slightly hairy and cylindrical [7,8,9].
Brachiaria eruciformis is spreading in the northern grain and cotton region (Queensland and New South Wales) of Australia [10], with a greater prevalence in central Queensland. Although a summer-dominant weed, this weed is often present in the late phase of winter crops and both in summer and winter fallows. It occurs in both cereals, particularly sorghum (Sorghum bicolor L.), and cotton (Gossypium hirsutum L.) systems [2,10]. This weed is a more significant problem in dryland cotton than in irrigated cotton [10].
Prolific seed production (>100,000 seeds plant−1), a short generation time with multiple cohorts in a season, and a high level of competitiveness are the main factors leading to the evolution of this species as a major weed [10]. In addition to competing with crops, it can develop a thick grass mat and interfere with harvest operations [7,8,9]. In 2011, this weed was rated as the number one weed with the potential to evolve resistance to the herbicide glyphosate [10] and has since developed resistance in some populations [11]. Despite a wide distribution of B. eruciformis in the northern region of Australia and its occurrence as a herbicide-resistant weed [2,10,11], there is a lack of comprehensive knowledge on the management of this weed based on its germination biology. In terms of revenue loss, B. eruciformis is ranked the third weed in the northern grain region of Australia, accounting for a revenue loss of AU$ 8.8 million annually, due to its prevalence in grain crops and fallows [12].
Weed adaptation to environmental conditions could be attributed to genetic diversity in weed populations that allows them to invade new areas [13,14]. Plants often adapt to habitat conditions such as temperature, water availability, light, and soil salinity. These conditions are the prime factors that decide weed germination, emergence, and establishment [15]. In addition, tillage and the presence of mulch on the soil surface are some of the management-driven aspects affecting weed germination and emergence [15,16,17]. Identifying the response of a weed species to burial or residue cover provides useful information for framing weed management options [15,16,17]. In many weeds, tillage leads to the burial of seeds deep into the soil, where emergence is inhibited [16]. Similarly, mulch application may also reduce the germination of photoblastic weed seeds by decreasing the availability of light [17]. A deeper understanding of how the maternal environment, human activity, and genetic diversity affects weed germination could help in developing accurate and reasonable management strategies to minimize the effect of weeds on crops and in predicting invasions in new areas.
Crop management affects the germination response of weeds [18,19]. For example, weeds maturing at the crop boundary seldom receive any tillage, fertilizer, or irrigation compared to those in crop fields. Such differences in management practices may select for changes in the germination characteristics of weed seeds [18,19,20,21] and need to be accounted for while making weed management decisions based on their germination ecology.
In this study, three biotypes of B. eruciformis were evaluated for their response to a range of environmental conditions so as to frame appropriate weed management options to suppress the further prevalence of this weed.

2. Materials and Methods

2.1. Seed Collection

Mature seeds were collected in April 2018 from a sorghum field (27.56° S, 152.34° E), a mungbean field at Lawes (27.54° S, 152.33° E), and a field boundary from Forest Hill (27.59° S, 152.37° E) in the Queensland region. Seeds were collected by shaking mature plants over trays, were then cleaned and then stored in ambient conditions until the start of the experiment. Before starting the experiments, the seeds were cleaned again and X-rayed (Faxitron seed X-ray unit) to ensure that all seeds were filled (Figure 1A–C). Some species from the Brachiaria genus, including this one, have a hard coat [22]; therefore, seeds were scarified uniformly by spreading on a wooden table and by rubbing three times (10 cm up and down) using sand paper to break the physical seed dormancy. Germination improved after scarification (Figure 2).

2.2. Common Procedure

Experiments were conducted in 2018 to examine the effect of environmental factors on the seed germination of three biotypes of B. eruciformis in the weed science laboratory of Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Gatton, Australia. Twenty-five seeds were placed in 9-cm diameter Petri dishes on top of two layers of sterilized filter paper and moistened with water or other appropriate experimental solutions. Except for the temperature and light experiments, all experiments were conducted in an incubator set at 30/20 °C day/night temperature and a 12 h photoperiod. Further details on the temperature and light experiments are below. Seeds with a 2-mm radical were considered germinated, and the germination assessment was continued up to 28 days. Experiments were repeated after completing the first run.

2.3. Temperature and Light

Five alternating day/night temperatures (15/5, 20/10, 25/15, 30/20, and 35/25 °C) in two light regimes [12 h photoperiod and complete darkness (24 h)] were used to determine the effect of temperature and light on germination. To avoid the penetration of light to seeds in the continuous dark treatment, Petri dishes were wrapped with three layers of aluminum foil. For the dark treatment, the seed germination counted only after 28 days.

2.4. Water Potential, Salinity and pH

To simulate the water potential and saline conditions in Petri dishes, appropriate solutions were selected. Water potentials (Polyethylene glycol, C2nH4n+2On+1) [0 (control), −0.1, −0.2, −0.4, −0.6, −0.8, and −1 MPa] were prepared by using the method described by Michel and Radcliffe [23]. Salt concentrations were 0 (control), 25, 50, 100, 150, 200, and 250 mM, which were prepared by dissolving appropriate amounts of sodium chloride (NaCl) in deionized water following the method of Poljakoff-mayber et al. [24]. To simulate alkaline and acid conditions in Petri dishes, buffer solutions (4, 5, 6, 7, 8, 9, and 10 pH) were prepared according to Chachalis and Reddy [25]. All other conditions were constant, as mentioned in the common procedure section.

2.5. Burial Depth and Sorghum Residue Amount

Pots of 10 cm diameter × 12 cm height (1 L) were used to determine the effect of the sorghum residue amount and burial depth on the seedling emergence. The soil used in this experiment was collected from the Gatton Research Farm of the University of Queensland and had a pH of 7.1, organic matter of 2.4%, nitrogen of 34 mg kg−1, phosphorus of 214 mg kg−1, and potash of 410 mg kg−1. To avoid the background seed bank of B. eruciformis, the soil was sieved and dried (100 °C) in an oven for 96 h. The selected burial depths were 0 (soil surface), 0.5, 1, 2, 4, and 8 cm. The sorghum residue was prepared by chopping (2 cm pieces) mature sorghum plants (cv. MR Bazley) and placing the chopped pieces in an oven at 70 °C for 96 h. To examine the effect of the sorghum residue amount, seeds were placed on the soil surface and covered with dry sorghum crop residue at equivalent rates of 0, 4, 8, 16, and 32 t ha−1. Fifty seeds per pot were used, and the pots were placed in an incubator set at 30/20 °C and sub-irrigated. Emerged seedlings were counted at a weekly interval over 28 days.

2.6. Statistical Analyses

All experiments were conducted twice. The data was pooled as there was no interaction between the experimental runs and treatments. A completely randomized design (Factorial = biotype × treatment) with three replications was used for all tests. Before analyzing (ANOVA) (SAS software v. 9; SAS Institute, Cary, NC, USA) each experiment, the normality and homogeneity of variance (Shapiro-Wilk test) were tested, and no transformation was needed. For all treatments, the seed germination data was pooled across the biotypes, as no significant difference was observed among the biotypes (n = 18). The effects of the scarification, temperature and light, pH, burial depth, and sorghum residue on the germination of B. eruciformis were determined using the least significant difference test (LSD, p ≤ 0.05). A three-parameter sigmoid model was used to describe the seed germination (%) at different water potentials (Equation (1)):
G (%) = Gmax/[1 + exp (−(X − X50)/b)]
In this equation, G (%) is the germination (%) at water potential X, Gmax is the maximum germination (%), X50 is the water potential that caused a 50% reduction in the seed germination, and b is the slope.
A three-parameter logistic model (Equation (2)) was used to model the salinity data following this equation:
G (%) = Gmax/[1 + (X/X50)b]
where G (%) is the germination (%) at NaCl concentration X, Gmax is the maximum germination (%), X50 is the concentration of NaCl for a 50% inhibition of germination, and b shows the slope.

3. Results

3.1. Scarification

A poor germination (<15%) was obtained in the control (no-treatment) condition (Figure 2). The germination improved (p < 0.001) by physical scarification. No difference was observed among the biotypes in response to the seed scarification.

3.2. Temperature and Light

The seed germination was significantly (p < 0.001) affected by alternating the temperature and light conditions, and their interaction produced a significant effect on the germination of B. eruciformis (Figure 3). There were no significant differences among the biotypes. Seed germination was not observed at 15/5 °C day/night temperature. The lowest germination was observed at 20/10 °C, and germination was the greatest at day/night temperatures of 30/20 °C. Germination increased with an increasing temperature from 20/10 to 30/20 °C. Increasing the temperature from 30/20 to 35/25 °C had a negative effect on the seed germination. Except at 25/35 °C, no significant differences were observed between the light/dark and dark treatments.

3.3. Water Potential

Germination was affected by different water potential levels (Figure 4). The effects of the treatments on the biotypes were not significant. Germination was reduced as the water potential decreased. The highest germination was observed for the control (0 MPa), and no germination was observed at the water potential −0.8 MPa. The three-parameter sigmoidal model predicted a water potential of −0.3 MPa to inhibit a 50% germination (X50) of B. eruciformis.

3.4. Salinity

Different levels of NaCl concentrations caused significant differences in the germination of B. eruciformis (Figure 5). No significant differences were observed among the biotypes. Germination was the greatest at the control condition (0 mM). Under increasing NaCl concentrations, the germination decreased, with 200 mM NaCl inhibiting the germination completely. NaCl concentrations of 85 mM inhibited the germination by 50% (X50 value).

3.5. pH

The germination of B. eruciformis was influenced by the pH (p < 0.001) (Figure 6). The effect of the pH was similar among biotypes. The highest germination percentage occurred at a neutral pH condition (6–8), and seeds germinated more than 70% over the broad range of pH from 4 to 10.

3.6. Burial Depth

The effect of the burial depth was significant (p < 0.001) for the seedling emergence of B. eruciformis (Table 1). No significant differences in the seedling emergence were observed among biotypes. The emergence of all biotypes decreased as the burial depth increased; there was a >84% decrease in emergence from seeds buried 4 or more cm in comparison with a burial depth of 0 cm. No seedling emergence was observed from 8 cm.

3.7. Sorghum Residue Amount

The results showed that sorghum residue adversely influenced the emergence of B. eruciformis (Table 2). No significant differences were observed among biotypes in response to sorghum residue levels. The highest emergence was observed with the no sorghum residue treatment (63%), while a sorghum residue amount of >8 t ha−1 completely inhibited emergence.

4. Discussion

Brachiaria eruciformis is a native weed in tropical and subtropical zones of the world, and it has infested many agroecological regions [12]. The lack of germination at 15/5 °C indicates the inability of this scarified weed seed to germinate under extreme winter conditions; however, more than 45% germination at 20/10 °C shows the potential of this weed to germinate during the latter part of the winter season. In Queensland, unlike other growing regions, warm subtropical to tropical weather conditions exist with intermittent hot days even during the winter season. This study suggests the predominance of this weed in Queensland throughout the summer and late winter seasons and its potential to invade more areas of the northern region of Australia.
Similar germination responses to temperatures were observed in other weeds, such as Brachiaria platyphylla (Griseb.) Nash and Eleusine indica (L.) Gaertn, for which a cumulative germination increased with an increasing temperature, with the highest germination observed at 30/20 °C day/night temperature [26,27]. In the current study, biotypes responded similarly to changes in light and temperature conditions. In the dark condition, germination occurred across all temperatures. A similar germination pattern was observed in many weeds, including B. platyphylla and Poa annua L. [28,29]. The observation of germination in the dark condition explains the ability of B. eruciformis to germinate under a plant canopy or mulch. These results also suggest that this weed will germinate regardless of light conditions, allowing germination to occur even if it is buried at shallow depths.
Seed germination was not sensitive to varying pH levels. Seeds germinated more than 70% over a broad range of pHs from 4 to 10; however, the maximum germination was observed at the neutral pH condition (6–8). Similar results were observed in Lolium rigidum Gaudin [30], Chloris virgata Sw. [31], and Urochloa subquadripara Trin. [32]. Therefore, pH is not a restricting factor for the germination of B. eruciformis, allows this weed to adapt to several soil conditions, and provides the rationale for the wide distribution of B. eruciformis.
Brachiaria eruciformis could germinate between water potentials of 0 to −0.6 MPa. With a decreasing water potential, germination was concomitantly reduced, and no germination was observed at −0.8 MPa. Similar results were observed for Echinochloa colona (L.) Link. [33]. Persistence mechanisms such as the inhibition of germination under drought stress result in an induced dormancy until sufficient water is accessible for germination, consequently improving the ability for seeds to germinate once favorable conditions occur [34]. Although the northern cropping region receives ample summer rainfall, vagaries in rainfall are often observed, with fluctuations in the quantity and distribution of rainfall. Our results confirm those of other studies, which indicate the potential of this weed to emerge under a moderate level of water potential [33].
Similar to the water potential, salt stress can cause a reduction in germination. Our study indicates a high level of salt tolerance in B. eruciformis. Fifty percent of seeds were still able to germinate at NaCl concentrations of 85 mM, indicating that the salt tolerance is higher in B. eruciformis than in many other weeds. For example, the NaCl concentration that inhibited a 50% germination in Rapistrum rugosum (L.) All. was 77 mM [35]. The ability to germinate under high NaCl concentrations has been reported in many weeds, such as Chloris virgata Sw. and Eragrostis pilosa (L.) P. Beauv. [36], and this ability favors the distribution of the weed to new areas.
An increase in the burial depth and sorghum residue amount reduced B. eruciformis emergence. A burial depth of 4 cm and a sorghum residue amount of 4 t ha−1 reduced the emergence of B. eruciformis by 84% and 65%, respectively. Reductions in the emergence of weeds due to an increase in the burial depth and residue amount have been reported for numerous weeds [37,38,39]. The low emergence of B. eruciformis with the increase in the burial depth and sorghum residue amount could be attributed to low seed carbohydrate reserves, the light requirement [40,41], and could sometimes be due to allelopathy of the sorghum residue [42]. Light is not a restricting factor for B. eruciformis germination. Baskin and Baskin [43] noted that the emergence of small-seeded species with limited carbohydrate reserves was inhibited by deep burial in soil. Rather than spreading chaff (harvested crop straw and debris) into the entire field during crop harvest, the accumulation of chaff in line (chaff lining) is recommended so that the thick straw concentrated in line (12 to 40 t ha−1) can minimize the emergence of weeds [9]. In this experiment, there was no emergence of this weed beyond 8 t ha−1 residue, indicating that maintaining straw to this magnitude through conservation agriculture practices or chaff lining can minimize the emergence of this weed. Tillage that can bury seeds more than 6 cm could be a good option for managing this weed. However, buried seeds with a long persistence in deep soil result in the accumulation of more seeds in the soil seed ban and keep the seeds safe from desiccation or predation [17]. B. eruciformis seeds have a hard seed coat and seem to remain in the soil for long periods; therefore, information on seed persistence is required to make management decisions.

5. Conclusions

The chosen biotypes from different cropping systems (mungbean and sorghum fields, and crop boundary) had no differences in their response to the evaluated factors on germination. It could be concluded that the germination ecology of B. eruciformis was mainly affected by the maternal environment, as the three biotypes were collected from the same region. None of the growing conditions had an inhibitory role or, rather, none favored the germination of one biotype over the others from a germination biology perspective. The ability to germinate over a broad range of environmental conditions could explain the wide distribution of this weed, and management options such as a thick residue cover may suppress the germination and emergence of this weed.

Author Contributions

A.M. collected data, analyzed data, and wrote the manuscript. M.M. collected data. S.M. collected data, reviewed and edited the paper. B.S.C. Conceptualization, performed design setup and supervision, resources, reviewed and edited the paper. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Grains Research and Development Corporation (GRDC), Australia, grant number UA00156.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. X-ray image of three biotypes of the Brachiaria eruciformis seed: (A) from a mungbean field, (B) from a sorghum field, and (C) from fencelines.
Figure 1. X-ray image of three biotypes of the Brachiaria eruciformis seed: (A) from a mungbean field, (B) from a sorghum field, and (C) from fencelines.
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Figure 2. Effect of scarification with sand paper on the seed germination of Brachiaria eruciformis. Each bar of the graph represents a mean value of germination data (pooled across biotypes) as no significant differences were observed among biotypes. The vertical bar shows the least significant difference (LSD) values at the 5% level of probability.
Figure 2. Effect of scarification with sand paper on the seed germination of Brachiaria eruciformis. Each bar of the graph represents a mean value of germination data (pooled across biotypes) as no significant differences were observed among biotypes. The vertical bar shows the least significant difference (LSD) values at the 5% level of probability.
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Figure 3. The effect of alternating the day/night temperature and light on the seed germination of three biotypes of Brachiaria eruciformis. Each bar of the graph represents a mean value of the germination data (pooled across biotypes), as no significant differences were observed among biotypes. The vertical bar shows the least significant difference (LSD) values at the 5% level of probability.
Figure 3. The effect of alternating the day/night temperature and light on the seed germination of three biotypes of Brachiaria eruciformis. Each bar of the graph represents a mean value of the germination data (pooled across biotypes), as no significant differences were observed among biotypes. The vertical bar shows the least significant difference (LSD) values at the 5% level of probability.
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Figure 4. The effect of different osmotic potentials on the seed germination of three biotypes of Brachiaria eruciformis. Each point of the graph represents a mean value of the germination data (pooled across biotypes). A three-parameter sigmoid model was fitted to germination (%). The vertical bars represented the standard error of mean.
Figure 4. The effect of different osmotic potentials on the seed germination of three biotypes of Brachiaria eruciformis. Each point of the graph represents a mean value of the germination data (pooled across biotypes). A three-parameter sigmoid model was fitted to germination (%). The vertical bars represented the standard error of mean.
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Figure 5. The effect of sodium chloride (NaCl) concentrations on the seed germination of three biotypes of B. eruciformis. Each point of the graph represents a mean value of the germination data (pooled across biotypes), as no significant differences were observed among biotypes. A three-parameter logistic model was fitted to the germination (%). The vertical bars represented the standard error of mean.
Figure 5. The effect of sodium chloride (NaCl) concentrations on the seed germination of three biotypes of B. eruciformis. Each point of the graph represents a mean value of the germination data (pooled across biotypes), as no significant differences were observed among biotypes. A three-parameter logistic model was fitted to the germination (%). The vertical bars represented the standard error of mean.
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Figure 6. The effect of the pH level on the seed germination of three biotypes of Brachiaria eruciformis. Each bar of the graph represents a mean value of the germination data (pooled across biotypes), as no significant differences were observed among biotypes. The vertical bar shows the least significant difference (LSD) values at the 5% level of probability.
Figure 6. The effect of the pH level on the seed germination of three biotypes of Brachiaria eruciformis. Each bar of the graph represents a mean value of the germination data (pooled across biotypes), as no significant differences were observed among biotypes. The vertical bar shows the least significant difference (LSD) values at the 5% level of probability.
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Table 1. The effect of different burial depths on the seedling emergence of three biotypes of Brachiaria eruciformis. Each value of the table represents a mean value of the germination data (pooled across biotypes), as no significant differences were observed among biotypes.
Table 1. The effect of different burial depths on the seedling emergence of three biotypes of Brachiaria eruciformis. Each value of the table represents a mean value of the germination data (pooled across biotypes), as no significant differences were observed among biotypes.
Burial Depths (cm)Emergence (%)
063.4
0.570.3
155.2
231.4
49.9
80.0
LSD (0.05)1.93
LSD (0.05) is least significant difference at 5% siginificance.
Table 2. The effect of different sorghum residue amounts on the seedling emergence of three biotypes of Brachiaria eruciformis. Each value of the table represents a mean value of the germination data (pooled across biotypes), as no significant differences were observed among biotypes.
Table 2. The effect of different sorghum residue amounts on the seedling emergence of three biotypes of Brachiaria eruciformis. Each value of the table represents a mean value of the germination data (pooled across biotypes), as no significant differences were observed among biotypes.
Sorghum Residue (t ha−1)Emergence (%)
063.4
238.4
420.8
82.1
160.0
320.0
LSD (0.05)1.98

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MDPI and ACS Style

Mobli, A.; Mollaee, M.; Manalil, S.; Chauhan, B.S. Germination Ecology of Brachiaria eruciformis in Australia and Its Implications for Weed Management. Agronomy 2020, 10, 30. https://0-doi-org.brum.beds.ac.uk/10.3390/agronomy10010030

AMA Style

Mobli A, Mollaee M, Manalil S, Chauhan BS. Germination Ecology of Brachiaria eruciformis in Australia and Its Implications for Weed Management. Agronomy. 2020; 10(1):30. https://0-doi-org.brum.beds.ac.uk/10.3390/agronomy10010030

Chicago/Turabian Style

Mobli, Ahmadreza, Mahboobeh Mollaee, Sudheesh Manalil, and Bhagirath Singh Chauhan. 2020. "Germination Ecology of Brachiaria eruciformis in Australia and Its Implications for Weed Management" Agronomy 10, no. 1: 30. https://0-doi-org.brum.beds.ac.uk/10.3390/agronomy10010030

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