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Article

Dynamics of Glyphosate Resistance in Lolium perenne: Pollen-Mediated Gene Flow under Field Conditions in Argentina

1
National Scientific and Technical Research Council—CONICET, Laboratorio de Biotecnología y Genética Vegetal, Chacra Experimental Integrada Barrow (MAIBA—INTA), RN 3 km 487, Tres Arroyos CP 7500, Argentina
2
Chacra Experimental Integrada Barrow (MAIBA—INTA), RN 3 km 487, Tres Arroyos CP 7500, Argentina
3
College of Agronomy and Forestry, Universidad Nacional de La Plata, 60 y 119, La Plata CP 1900, Argentina
4
National Scientific and Technical Research Council—CONICET, College of Agronomy and Forestry, Universidad Nacional de La Plata, 60 y 119, La Plata CP 1900, Argentina
*
Author to whom correspondence should be addressed.
Submission received: 22 October 2018 / Revised: 18 November 2018 / Accepted: 23 November 2018 / Published: 30 November 2018
(This article belongs to the Section Weed Science and Weed Management)

Abstract

:
The genus Lolium has shown a high tendency to evolve resistance to herbicides. Considering the high level of allogamy of L. perenne and the importance of the wind as an agent for pollen dispersion, the aim of this work was to assess and quantify the effective glyphosate-resistant gene flow by pollen in L. perenne under field conditions. Pollen-mediated gene flow from glyphosate-resistant to -susceptible plants was studied using a donor–receptor design. The results indicate that the effective gene flow reached trap plants distanced ≤35 m downwind from the source of pollen. The progeny of receptor plants growing 0 m from the pollen donors showed 13% of individuals with low glyphosate sensitivity. This represents a seven-fold increase in the frequency of glyphosate-resistant individuals found in the progeny of plants isolated during the flowering period (negative control). Similarly, the progenies of plants grown at 15 and 25 m from the source of glyphosate resistance showed an increase in the frequency of resistant plants by about four- and two-fold, respectively. When the receptor plants were located at >35 m, no glyphosate-resistant plants were detected in their progenies. Management should aim for prevention or delay of flowering of glyphosate-resistant plants.

1. Introduction

The development of herbicide resistance in a weed population is an evolutionary process [1]. Until now, around 500 cases of herbicide-resistant weed populations have been reported [2]. Among these, the genus Lolium has shown high tendency to evolve herbicide resistance, and it includes species of the more troublesome cases of resistance in the world [2,3,4,5,6,7].
Two requisites are necessary for the evolution of resistance to herbicides in a weed population: the existence of genetic variation for resistance, and the selection pressure imposed by the use of a herbicide [8]. The first condition could be generated by spontaneous mutations [9]; however, gene flow through dispersal of pollen or seed from resistant weed populations can also provide a source of variation for resistance in previously susceptible populations. In fact, gene flow rates are generally higher than mutation rates, thus, the time required to reach a high level of resistance is greatly reduced through gene flow [10].
The increased area sown with herbicide-resistant crops has determined that gene flow studies gain special attention [11,12]. Also, after the detection of herbicide-resistant weed populations, the dispersion of resistant genes through pollen and/or seeds has been addressed to predict the evolution of the resistance [13,14,15,16].
Although studies of seed dispersal are important for improving knowledge of weed dynamics, gene flow through pollen has been estimated to be 3.5 times greater than flow through seeds in Perennial ryegrass (Lolium perenne L.) [17]. This species is considered an anemophilous and obligated allogamous plant, where a gametophytic system of self-incompatibility based on two multiallelic and independent loci, called S and Z, operate to prevent inbreeding [18]. Regarding the high level of allogamy in L. perenne and the importance of the wind as an agent for pollen dispersion, the gene flow through pollen should be considered as the main cause of genetic interchange between herbicide-resistant and -susceptible populations.
Under field conditions, pollen-mediated gene flow was detected in L. rigidum between herbicide-resistant and -susceptible plants spaced at different distances [13,14,15,16]. Considering that topographic properties, like different environmental conditions and pollinator variants, affect the pollen-mediated gene flow [13,16,19], these experiments contributed to knowledge about Lolium spp. pollen dispersal and potential cross-pollination in different environments.
The widespread global distribution of Lolium spp. has enabled the evolution of glyphosate resistance in these species [3]. In Argentina, a glyphosate-resistant population of L. perenne (2n = 14) was identified [20], for which a 10.8-fold increase in glyphosate dose was required to achieve a similar control as a susceptible population [20]. The overexpression of the glyphosate target enzyme (EPSPS: 5-enolpyruvylshikimate-3-phosphate synthase) appeared to be the main mechanism of resistance [21]. It was found that this trait is controlled by a single nuclear locus with intermediate dominance [22].
In addition, glyphosate resistance could be inherited not only among L. perenne plants, but also from that species to the hybrid offspring with L. multiflorum [22]. Naturalised populations of Lolium spp. in Argentina are very frequent in plant communities of croplands and grasslands of the Pampas region [23]. In cereal crops from the south of that region, L. multiflorum and L. perenne have shown a constancy of 40% [24,25] and 20% of these naturalised populations, consisting of ≥10% of glyphosate-resistant plants [26]. In wheat and barley, yield losses due to Lolium spp. competition were recorded to be about 40%–50% [23].
In this context, glyphosate-resistant gene dispersal via pollen should be considered for assessing the spread of glyphosate resistance, and to design strategies of weed management. The hypothesis is that glyphosate-resistant gene flow via pollen occurs in L. perenne under field conditions of Argentina.
The aim of the current work was to assess and quantify the effective glyphosate-resistant gene flow by pollen (i.e., viable pollen to pollinate a flower) under field conditions, in the south of the Buenos Aires province (Argentina).

2. Materials and Methods

2.1. Plant Material

In 2009, 100 Lolium perenne plants were harvested from a glyphosate-resistant population located in the south of the Buenos Aires province (Argentina; 38°25′ S, 60°58′ W). The mechanism of resistance involved, and the inheritance of glyphosate resistance of that population, have been previously studied [20,21,22]. The collected seeds were sown in a plot of 10 × 20 m during March 2011 in the Chacra Experimental Integrada Barrow (INTA-MAIBA; 38°19′ S, 60°14′ W) as the source of pollen from glyphosate-resistant plants. The planting was carried out after tilling the soil with a disc harrow. An experimental plot seeder, with six rows spaced 0.2 m from each other and calibrated for a seed rate of 10 kg ha−1, was used. In similar conditions, seeds of susceptible L. perenne plants from a pasture without a history of glyphosate selection were used as pollen receptors. The susceptible plants were sown in six rows (spaced 0.2 m from each other) at the contour of the glyphosate-resistant source, and a plot of 1.2 × 90 m from the source of pollen (Figure 1a). This receptor plot was oriented toward the northeast, taking into account the anemophilous type of pollination of L. perenne, and the dominant winds during the pollination period, according to the CEI Barrow agrometeorological station register (Figure 1b).
Prior to pollination on 12 August 2011, five cages (0.5 × 0.5 × 0.8 m) with double-voile cloth were installed on the parcel of susceptible plants, in order to prevent pollination from the glyphosate-resistant source. Cages were located at 10, 30, 50, 70, and 90 m from the parcel of glyphosate-resistant plants. The cages were removed on 1 December, when the pollination period was over; the isolated plants were labelled, and finally harvested at maturity stage.
Ten glyphosate-resistant pollen receptor plants located at 0, 15, 25, 35, 45, 55, 65, 75, and 85 m from the source of pollen were harvested on 27 December (harvest maturity stage). Also, ten glyphosate-resistant plants were harvested from the pollen donor plot at maturity. These seeds were used as positive control for glyphosate resistance, and the seed sample obtained from isolated plants was used as negative control.

2.2. Glyphosate Sensitivity Evaluations

2.2.1. Glyphosate Effects on Plumule Growth

This bioassay was based on the evaluation of plumule growth of the progenies harvested on receptor plants, when subjected to differing glyphosate concentrations. This experiment was carried out 6 months after harvest maturity when the dormancy period ended.
Previously, 50 seeds from positive and negative control plants were tested in Petri dishes (9 cm diameter) containing a sheet of filter paper, and 5 mL of the following glyphosate (isopropylamine salt of glyphosate, Roundup®, 360 g ae L−1, Monsanto Argentina, Buenos Aires, Argentina) solutions: 0, 10, 20, 40, 80, 160, and 320 mg ae L−1 [20]. For each treatment, there were three replicate Petri dishes in a completely randomised design. This experiment was carried out in a growth chamber with 75 µmol m−2 s−1 of photosynthetically active radiation, in a 12:12 h light/darkness regime, and temperatures of 25 °C/15 °C day/night. After 7 days, the plumule length was measured from the point of attachment to the seed to the tip of the coleoptile. Data were used to build dose–response curves with a non-linear log-logistic regression model, as described by Streibig et al. [27]:
y = C + (DC)/(1 + (x/I50)b)
where y represents the percentage of response at the herbicide concentration x; C is the lower asymptote or response at infinitely large herbicide concentration or rate; D is the upper asymptote or mean response when the herbicide concentration or rate is zero; b is the slope of the line at I50—the herbicide concentration required to get 50% of the maximum response. To assess the accuracy of the model, F-test for model significance, residual variance analysis, and coefficient of determination (R2) were calculated. The glyphosate sensitivity of positive and negative control plants was contrasted through comparing their I50 values.
Subsequently, the progenies of pollen receptor plants were evaluated. For this purpose, 50 seeds obtained from the pollen receptor plants of each sample and positive and negative controls were tested in Petri dishes (9 cm diameter) containing a sheet of filter paper and 5 mL of a glyphosate solution of 45 mg ae L−1 (1.5-fold higher than the I50 calculated on the seed germination percentage of negative control). The incubation conditions were the same as described above. After 7 days, the percentage of germinated seeds and plumule length were recorded in the same way. Three replicate Petri dishes were used in a completely randomised design (n = 3). The data were then analysed using one-way ANOVAs. Frequency distributions were evaluated by chi-squared tests (p > 0.05), and observed frequencies of each sample were compared to expected frequencies (determined in the negative control): the null hypothesis H0 was that the observed frequency distribution for any seed sample tested would have been the same as the expected frequency. When H0 was rejected, class frequencies of the sample were compared to the negative control using two-sample z-test (p < 0.05).

2.2.2. Plant Growth under Glyphosate Treatment

Growth of the progenies obtained at different distances from the source of glyphosate-resistant genes, and from the positive and negative controls, was evaluated under a glyphosate treatment and without herbicide. Seeds were germinated in Petri dishes containing filter paper with distilled water when the dormancy period ended. A germination test was performed in a growth chamber with 75 μmol m−2 s−1 of photosynthetically active radiation, in a regime of 12:12 h of light/darkness and temperatures of 25 °C/15 °C day/night, respectively. After 7 days, each seedling was transferred to a 250 cm3 pot with soil as substrate in a greenhouse. Pots were irrigated to field capacity, according to plant demand. When the plants had at least three tillers, ten plants of each progeny (n = 10) were treated with glyphosate using a laboratory belt sprayer calibrated to deliver 200 L ha−1 at 1000 g ae ha−1. The application was carried out at 08:00.
The glyphosate effects on growth were evaluated following Yanniccari et al. [28]. After the glyphosate application, the plants were kept in a greenhouse (25 °C) under sunlight for 3 h (which is the time necessary for glyphosate translocation in the plant [27]). Later, all tillers of each plant were cut at 2.5 cm above the neck. At 72 h post-application, growth was estimated measuring the length of the regrowth above the cut level. The data were then analysed using one-way ANOVA. The differences among mean values were compared with Tukey’s HSD test (p < 0.05).

2.2.3. Plant Survival to Glyphosate

Glyphosate sensitivity of progenies, together with positive and negative controls, was compared after application of differing doses. Ten plants of every progeny were grown in 1 L pots filled with soil (experimental plot). When the plants had 2–3 tillers, glyphosate was sprayed using a laboratory belt sprayer calibrated to deliver 200 L ha−1 at 500, 1000 (recommended dose), or 2000 g ae ha−1. Five pots were used as replicates by progeny and by treatment (n = 5). At 20 days post-application, plants with severe visual injury (wilting, chlorosis of newly emerged leaves, and general brownish colour) were recorded as “controlled plants” (i.e., did not survive). In contrast, plants with green young leaves, and without wilt symptoms, were considered as “survivors”. The number of survivor plants was recorded, and data was analysed using a factorial ANOVA, where progeny and dose were the sources of variation. Differences among mean values were compared with Tukey’s HSD test (p < 0.05).
Experiments to examine glyphosate sensitivity were replicated twice. ANOVAs indicated no significant effects for experimental runs; therefore, the data of both experimental replicates were pooled.

3. Results and Discussion

Glyphosate-resistant and -susceptible materials showed flowering synchrony, with the beginning of flowering on 20 and 23 October, respectively. The flowering stage was spread throughout 25 days, and anthesis progressed according to tiller appearance. In the donor plot were counted 576 (±57) heads m−2 and the receptor plot showed 527 (±67) heads m−2. During the flowering period, four rain days (cumulative rainfall was 148 mm) were registered, and the average wind speed was 12.1 km h−1, with the prevailing direction being from south (data from meteorological station from Chacra Experimental Integrada Barrow). Considering that air temperature and relative humidity are the two main environmental factors that affect pollen viability [29], along the pollination period, the average air temperature was 15.0 (±6.6) °C, and the relative humidity was 66% (±3%) (data from meteorological station from Chacra Experimental Integrada Barrow) and they would not be detrimental for pollen viability and longevity [16].

3.1. Glyphosate Effects on Plumule Growth

Glyphosate sensitivity was significantly different between the progeny of glyphosate-resistant plants harvested from the pollen donor plot (positive control) and the progeny obtained from isolated glyphosate-susceptible plants (negative control) (p = 0.03). The plumule growth of progeny of susceptible isolated plants (negative control) showed higher sensitivity to glyphosate than those collected from the positive control, where the half-inhibition concentrations (I50) were 30.5 and 90.7 mg ae L−1, respectively (Figure 2).
The progeny of pollen receptor plants showed no differences on germination percentage when the seeds were germinated on a glyphosate solution of 45 mg ae L−1 (p = 0.75). Mean germination was around 52% to 71.3% among progenies (data not shown). When the plumule growth was analysed, the progenies significantly differed in glyphosate sensitivity, depending on the distance from the receptor plants to the glyphosate-resistant pollen donors (p < 0.001).
At this glyphosate concentration, the highest mean plumule length was recorded for the progeny of positive control (GR), while the progeny of negative control (GS) showed a mean plumule length of half of that determined on the progeny of GR (Figure 3 and Figure 4). The progeny obtained from receptor plants located close to glyphosate-resistant pollen donor plants (0 m) showed no significant differences in plumule growth, compared with positive controls (Figure 3). Mean plumule length was not significantly different to the negative control when the distance between glyphosate-resistant plants and pollen receptors was ≥15 m (Figure 3).
The frequency distributions observed for plumule length for each sample were compared to the expected frequency (determined in the negative control), and the null hypothesis (H0) was rejected in the cases of progenies obtained ≤25 m from glyphosate-resistant pollen donor plants (Table 1). The frequency distribution of plumule length on the progeny of the glyphosate-resistant plants differed significantly from those determined from the progeny of the negative control (Table 1). At least 40% of individuals from the positive control were found in the three upper classes (30–40 mm to 50–60 mm), while less than 2% of plumules from the negative control were included in these classes (Table 1, Figure 4).
The progeny of receptor plants growing at 0 m from the pollen donors showed an increase in individuals with low glyphosate sensitivity compared with the progeny of the negative control. Around 13% of seedlings of these receptor plants showed higher resistance, being categorised in the three upper classes; this represents a seven-fold increase of the frequency found in the negative control (Table 1). Similarly, the comparison of progenies from plants grown at 15 m from the source of glyphosate resistance showed that the frequencies of upper classes increased by around four-fold (Table 1). Progenies of plants growing at 25 m from the pollen donor increased, by two-fold, the frequency of the class of 20–30 mm plumule length, compared to the progeny of the negative control (Table 1). Contrasting average values of plumule length, the relative genetic advance to glyphosate resistance, was 81%, 27%, and 23% for the progeny of receptor plants located at 0, 15, and 25 m from donor plants, respectively. This evidence shows that gene flow occurs from glyphosate-resistant to -susceptible plants located at these distances.

3.2. Plant Growth under Glyphosate Treatment

The progenies differed (p < 0.001) in the longitudinal growth of leaves under the glyphosate treatment (1000 g ae ha−1). Thus, in plants obtained from the positive control, growth was around 40% more than plants obtained from the negative control (Figure 5). The progeny of receptor plants differed (p < 0.05) from the positive control, depending on the distance to the glyphosate resistance source where the mother plant was grown (Figure 5).
Progenies of plants located at 0, 15, and 25 m from donor plants showed a longitudinal growth similar to glyphosate-resistant plants (p > 0.05), and these differed from the progeny of isolated susceptible plants (Figure 5). However, plants obtained from receptor plants grown at 35 m showed an intermediate growth between the progenies of glyphosate-resistant plants and the isolated plants, without differing significantly from either group.
When the distance to the source of glyphosate resistance was >35 m, the progenies obtained show no significant differences compared to the plants obtained from the negative control. Therefore, at least using this methodology, the main glyphosate-resistant gene flow was detected within 35 m from the source of resistance.

3.3. Plant Survival in Response to Glyphosate

Plant survival was affected by the interaction between the progeny and dose considered (p < 0.001). When the recommended dose of glyphosate (1000 g ae ha−1) was applied, herbicide sensitivity of the progeny of plants, located at 0 and 15 m from the source of pollen, was significantly lower than the susceptible control (Table 2). In these cases, the survival increased by around 15% compared to the susceptible progeny. At two-fold the recommended dose (2000 g ae ha−1), 100% of the plants were controlled by the herbicide, regardless of the progeny of receptor plants considered (Table 2). This is in accordance with the inheritance model of glyphosate resistance found, where a dominant gene of incomplete dominance is the base of glyphosate resistance in the studied case. In this sense, plants heterozygous for this gene survive at doses of up to 1000 g ae ha−1 [22]. However, when half the recommended dose (500 g ae ha−1) was applied, internal variation of sensitivity of receptor plants could mask differences attributable to gene flow from glyphosate-resistant plants (Table 2).
Among the first works of pollen dispersion of Lolium perenne, Griffiths [30] found that the effect of gene flow is highly conditioned by the distance, and a length of 90 m would be the space that would ensure the isolation of L. perenne populations. Later, Giddings et al. [31] showed, as expected, that pollen deposition declined with distance, but the quantity of pollen grains found between 20 to 80 m from the source of pollen represented a proportion lower than 10% of that collected at 0 m. However, these authors suggested that pollen dispersion did not always decrease uniformly with increasing distance from the source, but that it is likely influenced by factors such as wind speed and turbulences [32]. This work was performed using pollen traps that differ from effective gene flow experiments, since the pollen viability and pollen competition of neighbour plants versus the main source should be considered [29,33]. In the current assay, the pollen of neighbouring susceptible plants would play a role in competition with the pollen of the source of glyphosate resistance, as would be expected in habitual agroecological conditions.
Recently, the gene flow of herbicide-resistant Lolium rigidum was fitted to an exponential decay model at increasing distances. Under field conditions of Spain, the average crossing rate was 8.5% (±3.0%) in plants adjacent to the pollen source, and 2.9% (±1.7%) at 25 m (farthest distance studied) in the downwind direction [16]. Consistently, the present results indicate that the effective glyphosate-resistant gene flow reached trap plants distanced at ≤35 m from the source of pollen in L. perenne. The analysis of frequency distributions shows that the progeny of these trap plants was enriched, with up to 13.2% of low glyphosate-sensitive individuals.
Interestingly, Busi et al. [34] have studied the gene flow of herbicide-resistant Lolium rigidum over long distances in Australia. There, pollen-mediated gene flow was detected three kilometres from the fields known to be infested with herbicide-resistant L. rigidum as the pollen source. According to the authors, it is presumably that this large source of pollen associated to L. rigidum populations from the Australian wheatbelt greatly contributed to the gene flow at over long distances.
In the current work, when the receptor plants were located at >35 m, no glyphosate-resistant plants were detected in its progeny by any methodology applied. However, an effective gene flow that contributes to a low frequency of glyphosate-resistant individuals (not possible to detect using the methodology applied here) could be higher compared to the initial frequency of herbicide-resistant plants (10−7 to 10−4) [35,36], and it could play an important role in the evolution of glyphosate resistance. Thus, gene flow can increase the frequency of herbicide-resistant individuals in populations without herbicide selection pressure [34].
Therefore, the gene flow would impact at two levels: in regional terms, pollen dispersion would increase the initial frequency of herbicide-resistant individuals, and reduce the time required to reach a high level of resistance. On the other hand, gene flow impacts at the local landscape level, when cross-pollination from an isolated glyphosate-resistant plant to glyphosate-susceptible ones develop patches of resistance that increase year by year. In both cases, seeds and pollen of glyphosate-resistant plants could contribute to the spread of glyphosate resistance, but the pressure of selection through the continuous use of the herbicide is another conditional factor for the process of evolution [8]. Combination of diversified management practices (crop rotations, integration of tactics of weed control, rotations of herbicides with different modes of action, etc.) delays the evolution of herbicide resistance [37]. However, when the pollination period begins, the management of pollen-mediated gene flow is a complicated task [34]. Localised treatments of patches of resistance employing total herbicides [38] or cutting before anthesis, could be considered as methods to reduce or delay pollen production of glyphosate-resistant plants.

4. Conclusions

Under field conditions, the effective glyphosate-resistant gene flow was detected within 35 m from the source of resistance in Lolium perenne; consequently, the hypothesis tested is accepted. The main impact of this evidence would be associated with cross-pollination from glyphosate-resistant plants to glyphosate-susceptible ones, developing patches of resistant plants at the farm level. Management should aim for prevention or delay of flowering of glyphosate-resistant plants, as indicated above. However, only one or a few techniques of control would be ineffective applied in an isolated form. An integrated weed management programme should consider the whole life cycle of the Lolium spp., from emergence to seed production, where pollen-mediated gene flow is a key factor to take into account, at the moment of designing a management strategy.

Author Contributions

Formal analysis, M.Y., D.G. and A.C.; Funding acquisition, C.I. and A.C.; Investigation, M.Y., C.I., D.G. and A.C.; Resources, M.Y. and C.I.; Supervision, D.G. and A.C.; Writing—original draft, M.Y.

Funding

This research was partially supported by Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET, National Research Council of Argentina—PIP 0165) and the Instituto Nacional de Tecnología Agropecuaria (PRET—BASUR 1272409).

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. (a) Satellite image of the pollen-mediated gene flow experiment in Lolium perenne: parcel of glyphosate-resistant plants (GR) as source of pollen, and glyphosate susceptible plants (yellow segments) as pollen receptors; (b) Wind rose showing the frequency distribution (%) of wind directions at 2 m above ground level for November (average daily wind direction from 2008 to 2012) in Chacra Experimental Integrada Barrow.
Figure 1. (a) Satellite image of the pollen-mediated gene flow experiment in Lolium perenne: parcel of glyphosate-resistant plants (GR) as source of pollen, and glyphosate susceptible plants (yellow segments) as pollen receptors; (b) Wind rose showing the frequency distribution (%) of wind directions at 2 m above ground level for November (average daily wind direction from 2008 to 2012) in Chacra Experimental Integrada Barrow.
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Figure 2. Effects of glyphosate on plumule growth of the progenies of glyphosate-resistant plants (positive control, GR) and glyphosate-susceptible plants (negative control, GS). Symbols indicate mean values, and vertical bars represent ±1 standard error. Non-linear regression models are shown by lines (GR (p < 0.05 and R2 = 0.98): y = −2.0 + (38.8 − (−2.0))/(1 + (x/90.7)1.2) and GS (p < 0.05 and R2 = 0.98): y = 2.5 + (45.1 − 2.5)/(1 + (x/30.5)1.5)).
Figure 2. Effects of glyphosate on plumule growth of the progenies of glyphosate-resistant plants (positive control, GR) and glyphosate-susceptible plants (negative control, GS). Symbols indicate mean values, and vertical bars represent ±1 standard error. Non-linear regression models are shown by lines (GR (p < 0.05 and R2 = 0.98): y = −2.0 + (38.8 − (−2.0))/(1 + (x/90.7)1.2) and GS (p < 0.05 and R2 = 0.98): y = 2.5 + (45.1 − 2.5)/(1 + (x/30.5)1.5)).
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Figure 3. Glyphosate effects on plumule growth of progenies of pollen receptor plants (spaced from 0 to 85 m from the glyphosate-resistant plants as the source of pollen), glyphosate-resistant plants (GR, positive control), and isolated glyphosate-susceptible plants (GS, negative control). Bars indicate mean values, error bars represent ±1 standard error, and bars with the same letters are not significantly different (p > 0.05; Tukey’s HSD test).
Figure 3. Glyphosate effects on plumule growth of progenies of pollen receptor plants (spaced from 0 to 85 m from the glyphosate-resistant plants as the source of pollen), glyphosate-resistant plants (GR, positive control), and isolated glyphosate-susceptible plants (GS, negative control). Bars indicate mean values, error bars represent ±1 standard error, and bars with the same letters are not significantly different (p > 0.05; Tukey’s HSD test).
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Figure 4. Progenies of pollen receptor plants (spaced from 0 to 35 m from the glyphosate-resistant plants as the source of pollen), glyphosate-resistant plants (GR, positive control), and isolated glyphosate-susceptible plants (GS, negative control) growing on a glyphosate solution (45 mg ae L−1).
Figure 4. Progenies of pollen receptor plants (spaced from 0 to 35 m from the glyphosate-resistant plants as the source of pollen), glyphosate-resistant plants (GR, positive control), and isolated glyphosate-susceptible plants (GS, negative control) growing on a glyphosate solution (45 mg ae L−1).
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Figure 5. Glyphosate effects on longitudinal growth of leaves of the progeny of pollen receptor plants (spaced from 0 to 85 m from the glyphosate-resistant plants as the source of pollen), glyphosate-resistant plants (GR, positive control) and isolated glyphosate-susceptible plants (GS, negative control). Bars indicate mean values, error bars represent ±1 standard error, and bars with the same letters are not significantly different (p > 0.05; Tukey’s HSD test).
Figure 5. Glyphosate effects on longitudinal growth of leaves of the progeny of pollen receptor plants (spaced from 0 to 85 m from the glyphosate-resistant plants as the source of pollen), glyphosate-resistant plants (GR, positive control) and isolated glyphosate-susceptible plants (GS, negative control). Bars indicate mean values, error bars represent ±1 standard error, and bars with the same letters are not significantly different (p > 0.05; Tukey’s HSD test).
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Table 1. Relative frequency (%) distribution of plumule length in progenies of pollen receptor plants (spaced from 0 to 85 m from the glyphosate-resistant plants as the source of pollen), glyphosate-resistant plants (GR, positive control), and isolated glyphosate-susceptible plants (GS, negative control). Shaded rows indicate significantly different distributions compared to GS (chi-squared tests, p < 0.05), and frequencies marked by asterisk are significantly different from those recorded in GS (z-test, p < 0.05).
Table 1. Relative frequency (%) distribution of plumule length in progenies of pollen receptor plants (spaced from 0 to 85 m from the glyphosate-resistant plants as the source of pollen), glyphosate-resistant plants (GR, positive control), and isolated glyphosate-susceptible plants (GS, negative control). Shaded rows indicate significantly different distributions compared to GS (chi-squared tests, p < 0.05), and frequencies marked by asterisk are significantly different from those recorded in GS (z-test, p < 0.05).
ProgeniesClasses (mm)
0–1010–2020–3030–4040–5050–60
GR 10.1 *27.0 *22.5 *29.2 *10.1 *1.1 *
0 m 11.1 *47.528.3 *5.1 *7.1 *1.0 *
15 m 43.935.412.26.1 *2.40.0
25 m 31.6 *48.416.8 *1.12.10.0
35 m43.053.22.51.30.00.0
45 m53.341.04.81.00.00.0
55 m38.550.09.01.31.30.0
65 m40.451.17.41.10.00.0
75 m39.150.08.72.20.00.0
85 m44.737.612.92.41.10.0
GS49.141.87.30.90.90.0
Table 2. Mean percentage of control of the progeny of pollen receptor plants (spaced from 0 to 85 m from the glyphosate-resistant plants as the source of pollen), glyphosate-resistant plants (GR, positive control) and isolated glyphosate-susceptible plants (GS, negative control) sprayed with glyphosate at 500, 1000, and 2000 g ae ha−1. Means followed by the same letter within columns are not significantly different at p = 0.05 (Tukey’s HSD test).
Table 2. Mean percentage of control of the progeny of pollen receptor plants (spaced from 0 to 85 m from the glyphosate-resistant plants as the source of pollen), glyphosate-resistant plants (GR, positive control) and isolated glyphosate-susceptible plants (GS, negative control) sprayed with glyphosate at 500, 1000, and 2000 g ae ha−1. Means followed by the same letter within columns are not significantly different at p = 0.05 (Tukey’s HSD test).
ProgeniesControl (%)
500 g ae ha−11000 g ae ha−12000 g ae ha−1
GR0 a47 a67 a
0 m34 bc 84 b100 b
15 m24 abc85 bc100 b
25 m4 ab93 cd100 b
35 m44 c100 d100 b
45 m44 c100 d100 b
55 m47 c100 d100 b
65 m34 bc100 d100 b
75 m37 c100 d100 b
85 m40 c100 d100 b
GS47 c100 d100 b

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Yanniccari, M.; Istilart, C.; Giménez, D.; Castro, A. Dynamics of Glyphosate Resistance in Lolium perenne: Pollen-Mediated Gene Flow under Field Conditions in Argentina. Agronomy 2018, 8, 286. https://0-doi-org.brum.beds.ac.uk/10.3390/agronomy8120286

AMA Style

Yanniccari M, Istilart C, Giménez D, Castro A. Dynamics of Glyphosate Resistance in Lolium perenne: Pollen-Mediated Gene Flow under Field Conditions in Argentina. Agronomy. 2018; 8(12):286. https://0-doi-org.brum.beds.ac.uk/10.3390/agronomy8120286

Chicago/Turabian Style

Yanniccari, Marcos, Carolina Istilart, Daniel Giménez, and Ana Castro. 2018. "Dynamics of Glyphosate Resistance in Lolium perenne: Pollen-Mediated Gene Flow under Field Conditions in Argentina" Agronomy 8, no. 12: 286. https://0-doi-org.brum.beds.ac.uk/10.3390/agronomy8120286

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