1. Introduction
Olive growing is a fundamental pillar in the Spanish agri-food system, having great economic, social, environmental, and territorial repercussions [1]. Olive groves occupy more than 2.75 million hectares, distributed mainly in the center-south and east of the country, which produce 70% of the olive oil in the European Union and 45% of the world [2]. Spain is the world leader in surface area, production, and foreign trade in olive oil; however, one of the biggest challenges is weed management [3], which even includes non-chemical alternatives to a greater or lesser extent [4], but the main tool for managing this vegetation continues to be herbicides. As a result of the use of these substances, various biotypes of weeds have been selected for resistance to herbicides, such as glyphosate [5]. In addition, some weed species show natural tolerance to the herbicides used and become more and more frequent dominants [6,7].
Herbicide resistance is a phenomenon that occurs with some individuals within a weed species, of which their progeny become dominant in the area after multiple applications of herbicides of the same mechanism of action. Instead, tolerance to herbicides is a characteristic of the species, regardless of whether or not they have been treated with herbicides [7].Until now, the weeds found to be resistant to herbicides in Spanish olive groves belong to genera that occur in annual and perennial crops, such as Bromus, Conyza, Lolium, Papaver, etc. [5]. However, intensive weed management practices have altered plant biodiversity [8], and, in recent years, species that generally occur in uncultivated areas have become more common in olive groves [9], such as species of the genus Filago.
Belonging to the Asteraceae family and the Gnaphalieae tribe, the Filago genus groups 40–45 species, of which 20 occur in the Iberian Peninsula [10]. Filago species are morphologically very similar to annual plants, which can make their identification difficult [10]. However, Filago pyramidata L. is difficult to confuse with species of the same genus, since, in the seedling stage, it is more similar to species of the genus Allyssum (Brasicaceae) [11]. This weed germinates in autumn-winter, forming dense rosettes, and, between March and July, it emits prostrate or erect flower stems up to 40 cm [12]. Filago pyramidata is widely distributed in Andalusia and grows both in open areas such as roadsides, clearings in the forest or scrub, as well as in cultivated areas [13], such as olive groves. In recent agricultural years, F. pyramidata have become increasingly common and abundant in olive groves in southern Spain, but, in addition, producers have observed that this weed survives field doses of flazasulfuron (50 g ai ha–1), an acetolactate synthase (ALS) inhibiting herbicide.
ALS (EC 2.2.1.6) catalyzes the biosynthesis of branched-chain amino acids (isoleucine, leucine, and valine) in plants [14] by converting two pyruvate molecules to (S)-2-acetolactate or converting one pyruvate molecule and one 2-ketobutyrate molecule in (S)-2-aceto-2-hydroxybutyrate [15]. ALS inhibitors are one of the most extensive herbicidal mechanisms of action (MoA), grouping six chemical families (imidazolinones–IMI, pyrimidinyl benzoates–PYB, sulfoanilides–SA, sulfonylureas–SU, triazolinones–TZ, and triazolopyrimidines–TP) [16]. These herbicides block the channel through which the substrates access the active site of the ALS, preventing the biosynthesis of branched-chain amino acids, which result in plant death [15]. Flazasulfuron [1-(4,6-dimethoxypyrimidin-2-yl)-3-(3-trifluoromethyl-2-pyridylsulfonyl)urea] is a SU, and, after 2,4-D, it is the second most preferred herbicide for Spanish olive growers to combat glyphosate-resistant weeds [17,18] because it can be applied pre- and post-emergence (early or late). However, various weeds have quickly presented resistance or tolerance to this herbicide [18,19].
Tolerance or resistance to herbicides can be conferred by physiological, biochemical, or molecular mechanisms, which are grouped into target-site (TS–gene amplification and mutations) and non-target-site (NTS–limited uptake, impaired translocation, vacuolar sequestration, and metabolism) [20,21]. Depending on the mechanism involved, tolerance/resistance can be crossed (to herbicides with the same MoA) or multiple (to herbicides with different MoA) [22]. In this study, the objective was to characterize the susceptibility level to flazasulfuron in F. pyramidata, reported by olive growers from southern Spain, to unravel the possible mechanism responsible for tolerance, as well as to identify possible cross- or multiple-tolerances by evaluating alternative herbicides for its control.
2. Materials and Methods
2.1. Field Screening and Biological Material
Pre- and post-emergence field screenings with flazasulfuron (Terafit® WG 25%, w/w; Syngenta) on F. pyramidata plants were carried out in an olive grove located in Montizón, Jaén, southern Spain (38°20′42.3″ N, 3°08′34.6″ W). The prescreening was carried out in mid-October 2020, and the post-screening, on F. pyramidata plants with 6–10 true leaves, was carried out at the end of February 2021 in 4 m × 5 m plots, which included a row of olives. The flazasulfuron pre- and post-treatments were distributed in a randomized complete block design with four replicates. In addition, an untreated (UT) plot was included as a control. For both pre- and post-screening, 50 g ai ha–1 of flazasulfuron (field recommended dose) were applied with a backpack sprayer equipped with four 11,002 nozzles 50 cm apart, at a pressure (with CO2) of 200 KPa to deliver 250 L ha−1 [23].
The efficacy was evaluated at 120 days after treatment (DAT) with a visual scale from 0 to 100% control, where the 0 corresponds to no control, and 100 corresponds to total control [24]. At the end of screening tests, 25 surviving flowering plants were collected and dried at room temperature. Ripe seeds were removed from the inflorescences, identified as PRE, POST, and UT accessions, and they were stored at 4 °C to test their tolerance to flazasulfuron in subsequent experiments. Due to the high survival rate of F. pyramidata plants in field screenings, and to have a reference level of susceptibility/tolerance to flazasulfuron, the H5 and H6 populations of Conyza canadensis were included in this study. The H5 population was characterized as being 28 times more resistant (R) to flazasulfuron than the H6 population (susceptible—S) in previous work by this research group [19].
Seeds of F. pyramidata and C. canadensis were germinated in Petri dishes on filter paper moistened with distilled water. Petri dishes were sealed with Parafilm, and then they were placed in a growth chamber at 28/18 °C (16 h day/8 h night) and intensity 350 μmol m−2 s−1. Seedlings were individualized in 250 mL pots with sand/peat (1:2, v/v) and placed in a greenhouse at 30/18 °C (day/night) and 80% relative humidity. The plants of both species were used for the different experiments in the rosette stage with 6–10 true leaves.
2.2. Flazasulfuron Dose-Response Curves
The flazasulfuron doses tested in these experiments were: 0, 2.5, 5, 10, 20, 40, 80, 160, 240, and 320 g ai ha−1 for the accessions PRE, POST, and UN of F. pyramidata and the S C. canadensis population; and, they were 0, 20, 40, 80, 160, 320, 640, and 1280 g ai ha−1 for the R population of C. canadensis. Ten plants from each accession/population, chosen at random, were treated per herbicide dose in a spray chamber (SBS-060 De Vries Manufacturing, Hollandale, MN, USA), equipped with a 8002E nozzle and calibrated to deliver 250 L ha−1 at 250 kPa at a height of 50 cm. After herbicide treatments, the F. pyramidata and C. canadensis, plants were taken and kept in a greenhouse at 30/18 °C day/night, being irrigated as necessary to maintain the field capacity of the substrate. Twenty-eight DAT is the number of dead plants were recorded, and the aerial part of each plant was cut at ground level and stored individually in paper bags, dried at 60 °C for four days, and weighed. The data of dry weight and mortality of plants were transformed to percentages, concerning the untreated control, to estimate the necessary herbicide dose to reduce the dry weight of the shoots and to kill a weed population by 50% (GR50 and LD50, respectively).
2.3. ALS Activity Assay
Three-gram samples of young leaf tissue of F. pyramidata (pool of UT, PRE, and POST accessions) and R and S C. canadensis populations were collected, frozen in liquid N2, and stored at −80 °C until use. The ALS was extracted according to Ref. [19]. The supernatant, containing the crude ALS extract, was immediately used for the enzyme assays and to determine the total protein content with the Bradford method [25].
The enzymatic activity of the ALS was assayed using technical-grade flazasulfuron(≥98.0% pure, Merk-Sigma Aldrich, Spain) (0, 1, 5, 10, 25, 50, 100, 200, and 400 µM for F. pyramidata and C. canadensis S; and 0, 25, 50, 100, 200, 400, 600, 800, and 1000 µM for R C. canadensis), obtained from a stock solution of mg mL-1. The maximum specific activity of ALS (nmol acetoin mg–1 protein h–1) was measured in the absence of the herbicide. The experiment was performed twice with five repetitions per herbicide concentration and population. Finally, the I50 (herbicide rate that inhibits ALS by 50%) was calculated.
2.4. Flazasulfuron Metabolism Inhibitors
Eight sets of 10 F. pyramidata plants were prepared for these experiments. One set of plants did not receive any treatment and was used as a control. Two sets of plants were treated with the plant metabolism inhibitors malathion (1000 g ai ha−1), pyperonylbutoxide (PBO, 1000 g ai ha−1), or 4-chloro-7-nitro-2,1,3-benzoxadiazole (NBD-Cl, 240 g ai ha−1), i.e., six sets of plants were treated in this step. Three sets (one of each inhibitor) were used to evaluate the effect of these substances on plant growth. The other three sets of F. pyramidata plants received a flazasulfuron treatment (50 g ai ha−1) at 3 (malathion and PBO) or 48 (NBD-Cl) h after the treatment (HAT) with the metabolism inhibitors, together with the last set of plants. The applications of malathion, PBO, NBD-Cl, and flazasulfuron were performed in the spray chamber.
After the herbicide treatment, plants were taken to a greenhouse and maintained under the conditions previously described in Section 2.2. At 28 DAT, the fresh weight of the plants was determined and converted to percentage concerning untreated control. Results were compared with the flazasulfuron test without the application of metabolism inhibitors. Experiments were performed twice at different times.
2.5. Herbicide Treatments Tested in Greenhouse
Alternative herbicides were applied to sets of 15 plants to detect cross- or multiple-resistances and to develop a potential integrated weed management (IWM) program. The different herbicides and doses used (detailed in Table 1) were applied under the same conditions and spray volume described in Section 2.2.
Pre-emergence treatments were carried out on 250-mL pots containing 0.1 g of F. pyramidata seeds, and postemergence treatments were conducted on plants with 6–10 true leaves. The treated plants were kept in the greenhouse at 30/18 °C day/night, being irrigated as necessary. The treatments were evaluated at 28 DAT, quantifying the percentage of plant survival and fresh weight of each treatment. The experiments were repeated twice in a completely randomized design.
2.6. Analysis of Data
The values of GR50, LD50, and I50 were estimated with the log-logistic equation of three parameters: y = ([(d)/1 + (x/g)b]) [26], where y is the dry weight, plant mortality, or the enzymatic activity expressed in percentage in comparison with its respective untreated control; d is the upper limit; b is the slope; g is GR50, LD50, and I50 values; and x is the dose/concentration of herbicide. SigmaPlot 10.0 (Systat Software, Inc., San Jose, CA, USA) was used to perform the regression analyses. Resistance indexes (RI) were estimated by dividing the g values of the resistant or tolerant populations with those of the S one.
Results of flazasulfuron metabolism and alternative herbicides were submitted to ANOVA in Statistix 9.0 (Analytical Software, Tallahassee, FL, USA). Differences of p < 0.05 between means were considered significant and separated using the Tukey HSD test.
3. Results
3.1. Field Screening and Dose-Response
Filago pyramidata plants treated with flazasulfuron in the field at PRE and POST presented reduced growth and typical symptoms caused by sulfonylureas (SU), such as chlorosis, distortion of the leaves, and purple coloration of the veins. However, as reported by farmers, a large number of individuals in the PRE and POST plots, similar to those in the UT plots, managed to survive, complete their cycle, and produce viable seeds, denoting a certain level of innate tolerance to flazasulfuron.
In the greenhouse dose-response assays, the three accessions of F. pyramidata (UT, PRE, and POST) presented similar herbicide rates to cause dry weight reduction and plant mortality by 50% (Figure 1). GR50 values ranged from 36.1 to 44.9 g ai ha−1 flazasulfuron, which were closer to the GR50 value of the R C. canadensis population (55.8 g ai ha−1) than to that of the S population (3.8 g ai ha−1). Regarding LD50, the values of the F. pyramidata accessions were between 11.1 and 12.5 times higher than that of the S C. canadensis population. In contrast, the LD50 of the R C. canadensis population was slightly more than twice (170 g ai ha−1) as much herbicide was required as for F. pyramidata accessions (Table 2).
3.2. ALS Enzyme Activity
Because the PRE, POST, and UT accessions of F. pyramidata showed a similar plant mortality rate in the dose-response assays, pools of plants from the three accessions were used for this and subsequent experiments. The ALS-specific activity of F. pyramidata was 23–31% higher than that of the R and S C. canadensis populations (218–231 nmol acetoin mg–1 protein h–1). In contrast, the ALS of F. pyramidata was very sensitive to flazasulfuron (similar to the S C. canadensis population), being inhibited by 50% only with 17.3 μM of flazasulfuron. As in previous results, the R C. canadensis population showed high resistance to flazasulfuron (37.9 times with respect to S population) (Figure 2, Table 3).
3.3. Inhibition of Flazasulfuron Metabolism
Filago pyramidata plants treated only with cytochrome P450 (Cyt-P450) and glutathione-S-transferases (GST) inhibitors presented a similar growth rate and fresh mass production than the untreated control (3.42 g plant−1). In contrast, plants treated with flazasulfuron, alone or in combination with these inhibitors, produced between 37 and 85% less fresh mass than the control. Flazasulfuron alone or in combination with malathion or PBO caused a similar growth reduction in F. pyramidata plants; however, the treatment that caused the greatest reduction in growth and fresh mass production was the combination of the herbicide with NBD-Cl (Figure 3).
3.4. Alternative Herbicides Tested in Greenhouse
When evaluating recommended label rates of alternative herbicides to obtain an overview of F. pyramidata response in the field, a moderate to high cross-tolerance to the different chemical groups of ALS inhibitors was observed, except to TP (florasulam). The tolerance level to tribenuron-methyl (SU) was similar to that observed with flazasulfuron. Plants treated with bispiribac-sodium, flucarbazone, and imazamox presented growth reduction greater than 80%, but survival rates were greater than 60%, i.e., F. pyramidata presented moderate to high cross-tolerance patterns to PYB, TZ, and IMI. Synthetic auxins (2,4-D and fluroxypyr) presented good control, but few individuals were able to survive the treatment with these herbicides (low multiple tolerance). The rest of the herbicides with different MoAs (inhibitors to cellulose synthesis, EPSPS, HPPD, PPO, PSI, and PSII), applied in PRE or POST, presented excellent levels of control of F. pyramidata (Table 4).
4. Discussion
The term ‘herbicide tolerance’ is used to refer to individuals of a species that are capable of surviving field doses of herbicides to which other species are susceptible [7]. Tolerant plants may or may not have been preselected with the herbicide when they survived. The PRE and POST accessions of F. pyramidata, screened in the field with flazasulfuron, presented survival levels similar to those of the UN accession, denoting natural tolerance to this herbicide. The dose–response assays confirmed this high level of tolerance to flazasulfuron in comparison to the S population of C. canadensis used as a reference, although they were low compared to the R population. F. pyramidata plants presented LD50 values higher than the field dose of flazasulfuron (50 g ai ha−1). Herbicide-based weed management used in intensive production systems has caused changes in flora [8]. Weed species common in rangelands, roadsides, and other non-agricultural situations are beginning to invade annual and perennial crops, coexisting with ruderal species. Species of the genus Centaruea were characterized as being tolerant to ALS-inhibiting herbicides in wheat fields from the central-southern region of Spain [9], and Carduus acanthoides was tolerant to 2,4-D in transgenic corn and soybean production fields in Cordoba, Argentina [27]. This is a worrying phenomenon because F. pyramidata is a species that is invading more and more olive groves in southern Spain (De Prado, personal observation), and it could become a weed that, in combination with herbicide-resistant weeds, can make it difficult to control.
When unraveling the putative mechanisms responsible for flazasulfuron tolerance, evidence of the participation of TS mechanisms was not found, since both the basal activity and the inhibition rate of ALS in F. pyramidata were similar to those of the S C. canadensis population. Based on these results, the possibility of sequencing the ALS gene was ruled out, since it is well established that mutations reduce the binding affinity of herbicide with the ALS and disrupt time-dependent cumulative inhibition [28].
Herbicide metabolism, mediated mainly by Cyt-P450 or GSTs, is the most challenging NTS mechanism, as it is capable of conferring cross and/or multiple resistance/tolerance to herbicides [29]. ALS inhibitors tend to be metabolized slowly, which allows them to interact with the ALS enzyme longer, but, at the same time, these herbicides are slow-acting, promoting metabolic detoxification [28,30]. Cyt-P450s and GSTs are superfamilies of detoxification enzymes that may produce various chemical reactions that reduce the phytotoxic potential of herbicides, allowing tolerant/resistant plants to survive [20]. Malathion, PBO, and NBD-Cl are potent inhibitors of Cyt-P450 or GST [31], reversing tolerance or resistance to herbicides, i.e., plants treated with these substances may become sensitive to herbicides. However, these substances can affect the germination or growth of plants [32,33]. This response depends on each species, and the growth of F. pyramidata was not affected by the treatment of malathion, PBO, and NBD-Cl. Cyt-P450s did not metabolize flazasulfuron; however, the efficacy of this herbicide, combined with NBD-Cl, improved, i.e., herbicide tolerance was reversed rendering the F. pyramidata plants sensitive to flazasulfuron. This suggest that the rapid GST-mediated metabolism of flazasulfuron was the main mechanism of tolerance in F. pyramidata GSTs act in phase II of plant metabolism, adding conjugates and sugars to the herbicide molecule. This can occur without the herbicides being activated in phase I [20]. GSTs have been reported to be responsible for the metabolic degradation of several herbicides, such as atrazine (PSII inhibitor) [34], trifluralin (microtubule inhibitor) [32], mesosulfuron-methyl (ALS inhibitor) [35], S-metolachlor (very-long-chain fatty acid inhibitor) [36], among others.
ALS inhibitors are a fundamental tool for Spanish olive growers to control weeds; however, in olive groves infested with F. pyramidata, its use is not recommended, since this species presented cross-tolerance to most of the ALS-inhibiting herbicides. In addition, a low frequency of multiple tolerance to 2,4-D and fluroxypyr was detected; therefore, synthetic auxins cannot be relied on to control long-term tolerant weeds, as observed in C. acanthoides from Argentina [27]. In contrast, there is still a great diversity of herbicides with different mechanisms of action that present excellent levels of control of F. pyramidata, including some mixtures of ALS inhibitors and synthetic auxins with glyphosate.
5. Conclusions
Filago pyramidata, a new weed invading Spanish olive groves from southern Spain, presented a high level of natural tolerance to flazasulfuron, with LD50 values hiher than the field dose of this herbicide, i.e., 50 g ai ha–1 of flazasulfuron controlled less than 50% of the individuals of this species in the field. In addition, F. pyramidata exhibited moderate to high cross-tolerance to most ALS-inhibiting herbicides, except to the triazolopyrimidine florasulam. Tolerance to flazasulfuron was conferred mainly by GSTs acting in phase II of plant metabolism. It seems that this enzymatic complex also participates in the tolerance to synthetic auxins exhibited by F. pyramidata plants. Although the level of tolerance to 2,4-D and fluroxypyr was low, herbicides with this mechanism of action cannot be trusted for the control of F. pyramidata in the long-term. On the other hand, herbicides inhibitors of the cellulose synthesis, EPSPS, HPPD, PPO, PSI, and PSII, and some mixtures of ALS inhibitors and synthetic auxins with glyphosate, are excellent alternatives for the control of F. pyramidata.
Conceptualization, J.A.D.-V. and R.D.P.; methodology, C.P.-B. and J.G.V.-G.; software, R.A.-d.l.C.; validation, J.A.D.-V. and R.D.P.; formal analysis C.P.-B., J.G.V.-G. and R.A.-d.l.C.; investigation, C.P.-B., J.G.V.-G. and R.D.P.; resources, J.P., R.A.-d.l.C. and R.D.P.; data curation, C.P.-B., J.G.V.-G., R.A.-d.l.C. and R.P; writing—original draft preparation, R.A.-d.l.C. and R.D.P.; writing—review and editing, R.A.-d.l.C. and R.D.P.; visualization, J.A.D.-V., J.P. and R.D.P.; supervision, R.D.P.; project administration, R.D.P.; funding acquisition, J.P., R.A.-d.l.C. and R.D.P. All authors have read and agreed to the published version of the manuscript.
Data sharing is not applicable.
The authors declare no conflict of interest.
Footnotes
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
Figure 1. Flazasulfuron dose–response on dry weight reduction (a) and plant survival (b) in Filago pyramidata L. accessions (UT–untreated, PRE–preemergence, and POST–postemergence), collected in an olive field from southern Spain, in comparison to flazasulfuron-resistant (R) and susceptible (S) C. canadensis populations. Symbols denote the mean (n = 20) ± standard error.
Figure 2. Log–logistic curves of the acetolactate synthase (ALS) activity in response to flazasulfuron in Filago pyramidata L. compared to flazasulfuron-resistant (R) and susceptible (S) C. canadensis populations. Symbols denote the mean (n = 3) ± standard error.
Figure 3. Qualitative (a,b) and quantitative (c) results of the response of Filago pyramidata L. plants to cytochrome P450 (malathion or PBO–piperonyl butoxide) and glutathione-S-transferase (NBD-Cl –4-chloro-7-nitro-2,1,3-benzoxadiazole) inhibitors in the absence or presence of flazasulfuron. The same letters are not different by the Tukey test at 95%. Vertical bars are the standard error (n = 20).
Mechanism of action (MoA), active ingredient, rate (g ai ha−1), application time (PRE- and POST-emergence), and trade name of the herbicides tested at a greenhouse on the population of Filago pyramidata L. found in an olive field from southern Spain.
MoA 1 | Active Ingredient | Rate | Time | Trade Name |
---|---|---|---|---|
ALS inhibitor | Bispiribac-sodium | 30 | POST | Nominee |
Florasulam | 7.5 | POST | Prosulam | |
Flucarbazone | 21 | POST | Everest | |
Imazamox 2 | 40 | POST | Pulsar 40 | |
Tribenuron-methyl | 20 | POST | Granstar | |
Auxin mimics | 2,4-D | 900 4 | POST | U46D Complet |
Fluroxypyr | 300 | POST | Praxis | |
Cellulose synthesis inhibitor | Indaziflam | 50 | PRE | Alion |
EPSPS inhibitor | Glyphosate | 960 4 | POST | Roundup Energy |
HPPD inhibitor | Tembotrione | 120 | POST | Laudis |
PPO inhibitor | Oxyfluorfen | 240 | PRE | Goal |
Oxyfluorfen | 240 | POST | Goal | |
Flumioxazin 3 | 350 | PRE | 51WDG Select | |
Flumioxazin 3 | 350 | POST | 51WDG Select | |
PSI inhibitor | Paraquat | 400 | POST | Gramaxone |
PSII inhibitor | Atrazine | 2000 | POST | Gesaprim |
Auxin mimics + EPSPS inhibitor | 2,4-D + Glyphosate | 640 4 + 960 4 | POST | Kyleo |
ALS inhibitor + EPSPS inhibitor | Flazasulfuron + Glyphosate | 50 + 960 4 | POST | Terafit + Roundup Energy |
1 MoA: ALS–acetolactate synthase, EPSPS–5-enolpyruvylshikimate-3-phosphate, HPPD–4-hydroxyphenylpyruvate dioxygenase, PPO–protoporphyrinogen oxidase, PSI–photosystem I, PSII, photosystem II. 2 DASH 1.25 L ha−1, 3 CHIDOR 2 L ha−1, 4 g acid equivalent ha−1.
Mean doses (g ai ha−1) of flazasulfuron required to reduce the dry weight (GR50) and/or a plant population (LD50) by 50% in Filago pyramidata L. accessions (UT–untreated, PRE–preemergence, and POST–postemergence), collected in an olive field from southern Spain, in comparison to flazasulfuron-resistant (R) and susceptible (S) C. canadensis populations.
Species | Accession/Population | GR50 | RI | LD50 | RI |
---|---|---|---|---|---|
UT | 44.9 ± 5.6 | 11.8 | 75.2 ± 7.6 | 11.6 | |
F. pyramidata | PRE | 36.1 ± 3.3 | 9.5 | 81.2 ± 5.1 | 12.5 |
POST | 43.8 ± 3.5 | 11.5 | 72.2 ± 5.3 | 11.1 | |
C. canadensis | S | 3.8 ± 0.2 | –– | 6.5 ± 1.4 | –– |
R | 55.8 ± 4.6 | 14.7 | 170.6 ± 17.4 | 26.2 |
RI = R-to-S ratio of the GR50 or LD50. ± Confidential interval at 95% probability (n = 10).
Parameters of the log-logistic model used to estimate the concentration of flazasulfuron necessary to reduce the activity of the ALS enzyme by 50% (I50) in Filago pyramidata L. compared to flazasulfuron-resistant (R) and susceptible (S) C. canadensis populations.
Population | ALS a Activity | d | b | R2 | I50 | RI |
---|---|---|---|---|---|---|
C. canadensis S | 231.7 ± 11.3 | 99.7 | 1.6 | 0.9938 | 10.1 ± 0.4 | –– |
C. canadensis R | 218.4 ± 8.6 | 98.5 | 2.1 | 0.9598 | 382.9 ± 27.2 | 37.9 |
F. pyramidata | 286.2 ± 7.8 | 100.8 | 1.5 | 0.9910 | 17.3 ± 1.4 | 1.7 |
a Nmol acetoin mg–1 protein h–1. RI = resistant index = I50 (R or T)/I50 (S). ± Confidential interval at 95% probability (n = 3).
Herbicide treatment, application time (POST- or PRE-emergence), fresh weight (FW), percentage of plant survival (% Surv.), and visual effects on Filago pyramidata L. plants of a biotype collected in an olive field from southern Spain.
Treatment (g ai ha–1) | Time | FW (g plant−1) | % Surv. | Visual Effects |
---|---|---|---|---|
Control | –– | 2.6 ± 0.4 | 100 | –– |
Bispiribac-sodium (30) | POST | 0.2 ± 0.2 | 60 | High growth reduction, but moderate cross-tolerance to PYB. |
Florasulam (7.5) | POST | nd | 0 | Excellent control. Non-cross-tolerance to TP. |
Flucarbazone (21) | POST | 0.6 ± 0.3 | 90 | High growth reduction, but high cross-tolerance to TZ. |
Imazamox (40) | POST | 0.2 ± 0.2 | 60 | High growth reduction, but moderate cross-tolerance to IMI. |
Tribenurom-metyl (20) | POST | 1.8 ± 0.6 | 100 | Growth reduction by 60%, but all plants survived to the SU. |
2,4-D (960 1) | POST | nd | 10 | Good control, few plants survived. |
Fluroxypyr (300) | POST | nd | 10 | Good control, few plants survived. |
Indaziflan (50) | PRE | nd | 0 | No seed germinated. |
Glyphosate (960 1) | POST | nd | 0 | Excellent control over 8 leaf plants. |
Tembotrione (120) | POST | nd | 0 | Excellent control over 6 leaf plants. |
Oxyfluorfen (240) | PRE | nd | 0 | No seed germinated. |
Oxyfluorfen (240) | POST | nd | 0 | Slow growth reduction, but all plants died at 21 DAA. |
Flumioxazin (350) | PRE | nd | 0 | No seed germinated. |
Flumioxazin (350) | POST | nd | 0 | Good control, better effect in preemergence. |
Paraquat (400) | POST | nd | 0 | Excellent control over 8 leaf plants. |
Atrazine (2000) | POST | nd | 0 | Excellent control over 6 leaf plants. |
2,4-D + Glyph. |
POST | nd | 0 | Synergistic effect, better and faster control than 2,4-D alone. |
Flaza. + Glyph. |
POST | nd | 0 | Excellent control over 8 leaf plants, synergistic effect. |
1 g acid equivalent ha−1; Glyph.–glyphosate; Flaza.–flazasulfuron; nd–non-determined; PYB–pyrimidinyl benzoates; TP–triazolopyrimidines; TZ–triazolinones; IMI–imidazolinones; SU–sulfonylureas.
References
1. Rodríguez-Entrena, M.; Arriaza, M.; Gómez-Limón, J.A. Determining economic and social factors in the adoption of cover crops under mower control in olive groves. Agroecol. Sustain. Food Syst.; 2014; 38, pp. 69-91. [DOI: https://dx.doi.org/10.1080/21683565.2013.819478]
2. Fernández-Lobato, L.; López-Sánchez, Y.; Blejman, G.; Jurado, F.; Moyano-Fuentes, J.; Vera, D. Life cycle assessment of the Spanish virgin olive oil production: A case study for Andalusian region. J. Clean. Prod.; 2021; 290, 125677. [DOI: https://dx.doi.org/10.1016/j.jclepro.2020.125677]
3. Soriano, M.A.; Álvarez, S.; Landa, B.B.; Gómez, J.A. Soil properties in organic olive orchards following different weed management in a rolling landscape of Andalusia, Spain. Renew. Agric. Food Syst.; 2014; 29, pp. 83-91. [DOI: https://dx.doi.org/10.1017/S1742170512000361]
4. Assirelli, A.; Ciaccia, C.; Giorgi, V.; Zucchini, M.; Neri, D.; Lodolini, E.M. An alternative tool for intra-row weed control in a high-density olive orchard. Agronomy; 2022; 12, 605. [DOI: https://dx.doi.org/10.3390/agronomy12030605]
5. Montull, J.M.; Torra, J. Herbicide resistance is increasing in Spain: Concomitant management and prevention. Plants; 2023; 12, 469. [DOI: https://dx.doi.org/10.3390/plants12030469] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/36771549]
6. Vázquez-García, J.G.; Torra, J.; Palma-Bautista, C.; Bastida, F.; Alcántara-de la Cruz, R.; Portugal, J.; Jorrin-Novo, J.V.; De Prado, R. Different non-target site mechanisms endow different glyphosate susceptibility in Avena species from Spain. Agronomy; 2023; 13, 763. [DOI: https://dx.doi.org/10.3390/agronomy13030763]
7. WSSA. Herbicide resistance and herbicide tolerance definitions. Weed Technol.; 1998; 12, 789. [DOI: https://dx.doi.org/10.1017/S0890037X00044766]
8. Rey, P.J.; Manzaneda, A.J.; Valera, F.; Alcántara, J.M.; Tarifa, R.; Isla, J.; Molina-Pardo, J.L.; Calvo, G.; Salido, T.; Gutiérrez, J.E. et al. Landscape-moderated biodiversity effects of ground herb cover in olive groves: Implications for regional biodiversity conservation. Agric. Ecosyst. Environ.; 2019; 277, pp. 61-73. [DOI: https://dx.doi.org/10.1016/j.agee.2019.03.007]
9. Palma-Bautista, C.; Vázquez-García, J.G.; Portugal, J.; Bastida, F.; Alcántara-de la Cruz, R.; Osuna-Ruiz, M.D.; Torra, J.; De Prado, R. Enhanced detoxification via Cyt-P450 governs cross-tolerance to ALS-inhibiting herbicides in weed species of Centaurea. Environ. Poll.; 2023; 322, 121140. [DOI: https://dx.doi.org/10.1016/j.envpol.2023.121140]
10. Martín, C.M.; Larruscain, D.G.; Carrasco, D.P.; Hernández, P.B.; Gozalbo, M.E.; Sánchez, S.A. Nuevas aportaciones para el género Filago L. en Castilla y León y Aragón. Flora Montiberica; 2016; 65, pp. 57-60.
11. Andrés-Sánchez, S.; Martínez-Ortega, M.M.; Rico-Hernández, E. Estudio corológico del género “Filago” L. (“Asteraceae, Gnaphalieae”) en la Península Ibérica y Baleares. Bot. Complut.; 2013; 37, pp. 57-78. [DOI: https://dx.doi.org/10.5209/rev_BOCM.2013.v37.42270]
12. Andrés-Sánchez, S.; Gutiérrez-Larruscain, D.; Rico, E.; Martínez-Ortega, M.M. Overlooked singularity and tiny plants: The Filago desertorum clade (Gnaphalieae, Asteraceae). Bot. J. Linn. Soc.; 2015; 179, pp. 742-754. [DOI: https://dx.doi.org/10.1111/boj.12318]
13. Flora Vascular de Andaluscía. Filago pyramidata L. 2021; Available online: https://www.florandalucia.es/index.php/filago-pyramidata (accessed on 14 March 2023).
14. Garcia, M.D.; Wang, J.G.; Lonhienne, T.; Guddat, L.W. Crystal structure of plant acetohydroxyacid synthase, the target for several commercial herbicides. FEBS J.; 2017; 284, pp. 2037-2051. [DOI: https://dx.doi.org/10.1111/febs.14102]
15. McCourt, J.A.; Pang, S.S.; King-Scott, J.; Guddat, L.W.; Duggleby, R.G. Herbicide-binding sites revealed in the structure of plant acetohydroxyacid synthase. Proc. Natl. Acad. Sci. USA; 2006; 103, pp. 569-573. [DOI: https://dx.doi.org/10.1073/pnas.0508701103]
16. Yu, Q.; Powles, S.B. Resistance to AHAS inhibitor herbicides: Current understanding. Pest Manag. Sci.; 2014; 70, pp. 1340-1350. [DOI: https://dx.doi.org/10.1002/ps.3710]
17. Tahmasebi, B.K.; Alebrahim, M.T.; Roldán-Gómez, R.A.; da Silveira, H.M.; de Carvalho, L.B.; Alcántara-de la Cruz, R.; De Prado, R. Effectiveness of alternative herbicides on three Conyza species from Europe with and without glyphosate resistance. Crop Prot.; 2018; 112, pp. 350-355. [DOI: https://dx.doi.org/10.1016/j.cropro.2018.06.021]
18. Torra, J.; Montull, J.M.; Calha, I.M.; Osuna, M.D.; Portugal, J.; de Prado, R. Current status of herbicide resistance in the Iberian Peninsula: Future trends and challenges. Agronomy; 2022; 12, 929. [DOI: https://dx.doi.org/10.3390/agronomy12040929]
19. Palma-Bautista, C.; Tahmasebi, B.K.; Fernández-Moreno, P.T.; Rojano-Delgado, A.M.; Alcántara de la Cruz, R.; De Prado, R. First case of Conyza canadensis from Hungary with multiple resistance to glyphosate and flazasulfuron. Agronomy; 2018; 8, 157. [DOI: https://dx.doi.org/10.3390/agronomy8080157]
20. Gaines, T.A.; Duke, S.O.; Morran, S.; Rigon, C.A.; Tranel, P.J.; Küpper, A.; Dayan, F.E. Mechanisms of evolved herbicide resistance. J. Biol. Chem.; 2020; 295, pp. 10307-10330. [DOI: https://dx.doi.org/10.1074/jbc.REV120.013572]
21. Torra, J.; Alcántara-de la Cruz, R. Molecular mechanisms of herbicide resistance in weeds. Genes; 2022; 13, 2025. [DOI: https://dx.doi.org/10.3390/genes13112025]
22. Hall, L.M.; Holtum, J.A.; Powles, S.B. Mechanisms Responsible for Cross Resistance and Multiple Resistance. Herbicide Resistance in Plants; 2nd ed. Powles, S.B. CRC Press: Boca Raton, FL, USA, 2018; pp. 243-262.
23. Amaro-Blanco, I.; Fernández-Moreno, P.T.; Osuna-Ruiz, M.D.; Bastida, F.; De Prado, R. Mechanisms of glyphosate resistance and response to alternative herbicide-based management in populations of the three Conyza species introduced in southern Spain. Pest Manag. Sci.; 2018; 74, pp. 1925-1937. [DOI: https://dx.doi.org/10.1002/ps.4896] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/29479817]
24. Frans, R.R.; Talbert, R.; Marx, D.; Crowley, H. Experimental Design and Techniques for Measuring and Analyzing Plant Responses to Weed Control Practices. Research Methods in Weed Science; Camper, N.D. Southern Weed Science Society: Champaign, IL, USA, 1986; pp. 29-46.
25. Bradford, M.M. A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Anal. Biochem.; 1976; 72, pp. 248-254. [DOI: https://dx.doi.org/10.1016/0003-2697(76)90527-3] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/942051]
26. Ritz, C.; Baty, F.; Streibig, J.C.; Gerhard, D. Dose-Response Analysis Using R. PLoS ONE; 2015; 10, e0146021. [DOI: https://dx.doi.org/10.1371/journal.pone.0146021] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/26717316]
27. Palma-Bautista, C.; Belluccini, P.; Vázquez-García, J.G.; Alcántara-de la Cruz, R.; Barro, F.; Portugal, J.; De Prado, R. Target-site and non-target-site resistance mechanisms confer multiple resistance to glyphosate and 2, 4-D in Carduus acanthoides. Pestic. Biochem. Physiol.; 2023; 191, 105371. [DOI: https://dx.doi.org/10.1016/j.pestbp.2023.105371] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/36963940]
28. Lonhienne, T.; Cheng, Y.; Garcia, M.D.; Hu, S.H.; Low, Y.S.; Schenk, G.; Williams, C.M.; Guddat, L.W. Structural basis of resistance to herbicides that target acetohydroxyacid synthase. Nat. Commun.; 2022; 13, 3368. [DOI: https://dx.doi.org/10.1038/s41467-022-31023-x] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/35690625]
29. Garcia, M.D.; Nouwens, A.; Lonhienne, T.G.; Guddat, L.W. Comprehensive understanding of acetohydroxyacid synthase inhibition by different herbicide families. Proc. Natl. Acad. Sci. USA; 2017; 114, pp. E1091-E1100. [DOI: https://dx.doi.org/10.1073/pnas.1616142114]
30. Rigon, C.A.; Gaines, T.A.; Küpper, A.; Dayan, F.E. Metabolism-based herbicide resistance, the major threat among the non-target site resistance mechanisms. Out. Pest Manag.; 2020; 31, pp. 162-168. [DOI: https://dx.doi.org/10.1564/v31_aug_04]
31. Dimaano, N.G.; Iwakami, S. Cytochrome P450-mediated herbicide metabolism in plants: Current understanding and prospects. Pest Manag. Sci.; 2021; 77, pp. 22-32. [DOI: https://dx.doi.org/10.1002/ps.6040]
32. González-Torralva, F.; Norsworthy, J.K. Understanding resistance mechanisms to trifluralin in an Arkansas Palmer amaranth population. Genes; 2021; 12, 1225. [DOI: https://dx.doi.org/10.3390/genes12081225]
33. Rangani, G.; Noguera, M.; Salas-Perez, R.; Benedetti, L.; Roma-Burgos, N. Mechanism of resistance to S-metolachlor in Palmer amaranth. Front. Plant Sci.; 2021; 12, 652581. [DOI: https://dx.doi.org/10.3389/fpls.2021.652581]
34. Ma, R.; Evans, A.F.; Riechers, D.E. Differential responses to preemergence and postemergence atrazine in two atrazine-resistant waterhemp populations. Agron. J.; 2016; 108, pp. 1196-1202. [DOI: https://dx.doi.org/10.2134/agronj2015.0571]
35. Wang, J.; Chen, J.; Li, X.; Li, D.; Li, Z.; Cui, H. Pro-197-Ser Mutation in ALS and high-level GST activities: Multiple resistance to ALS and ACCase inhibitors in Beckmannia syzigachne. Front. Plant Sci.; 2020; 11, 572610. [DOI: https://dx.doi.org/10.3389/fpls.2020.572610] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/33101340]
36. Brabham, C.; Norsworthy, J.; Houston, M.; Varanasi, V.; Barber, T. Confirmation of S-metolachlor resistance in Palmer amaranth (Amaranthus palmeri). Weed Technol.; 2019; 33, pp. 720-726. [DOI: https://dx.doi.org/10.1017/wet.2019.44]
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Abstract
Weeds that usually grow in non-agricultural areas have become increasingly common invading perennial crops. Species of the genus Filago, in addition to invading Spanish olive groves, have developed certain levels of natural tolerance to the acetolactate synthase (ALS) inhibiting herbicide flazasulfuron. The objective of this study was to determine the level and the mechanism involved in the tolerance to flazasulfuron in Filago pyramidata L., which occurs in olive groves of southern Spain, as well as to identify possible cross- or multiple-tolerances by evaluating alternative herbicides for its control. A population resistant (R) to flazasulfuron and a susceptible (S) one of Conyza canadensis were used as references. The accessions of F. pyramidata presented LD50 values (from 72 to 81 g active ingredient (ai) ha−1) higher than the field dose of flazasulfuron (50 g ai ha−1), being 11–12.5 times more tolerant than the S population of C. canadensis, but less than half the R population (170 g ai ha−1). Enzymatically, F. pyramidata was as sensitive to flazasulfuron (I50 = 17.3 μM) as the S population of C. canadensis. Filago pyramidata plants treated with flazasulfuron, combined with 4-chloro-7-nitro-2,1,3-benzoxadiazole, had a growth reduction of up to 85%, revealing the participation of glutathione-S-transferases in herbicide metabolism. Filago pyramidata presented cross-tolerance to the different chemical groups of ALS inhibitors, except triazolinones (florasulam). Synthetic auxins (2,4-D and fluroxypyr) presented good control, but some individuals survived (low multiple resistance). Cellulose synthesis, 5-enolpyruvylshikimate-3-phosphate, 4-hydroxyphenylpyruvate dioxygenase, protoporphyrinogen oxidase, photosystem I, and photosystem II inhibitor herbicides, applied in PRE or POST-emergence, presented excellent levels of control of F. pyramidata. These results confirmed the natural tolerance of F. pyramidata to flazasulfuron and cross-tolerance to most ALS-inhibiting herbicides. The mechanism involved was enhanced metabolism mediated by glutathione-S-transferases, which also conferred low multiple tolerance to synthetic auxins. Even so, herbicides with other mechanisms of action still offer excellent levels of control of F. pyramidata.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details





1 Agroforestry and Plant Biochemistry, Proteomics and Systems Biology, Department of Biochemistry and Molecular Biology, University of Cordoba, UCO-CeiA3, 14014 Cordoba, Spain;
2 Department of Agricultural Parasitology, Chapingo Autonomous University, Texcoco 56230, Mexico;
3 Departamento de Química, Universidade Federal de São Carlos, São Carlos 13565-905, Brazil
4 Biosciences Department, Polytechnic Institute of Beja, 7800-000 Beja, Portugal; VALORIZA-Research Centre for Endogenous Resource Valorization, Polytechnic Institute of Portalegre, 7300-555 Portalegre, Portugal