A robust and flexible approach to confirm herbicide resistance in weed populations is presented. This protocol allows the herbicide resistance levels to be inferred and applied to a wide range of weed species and herbicides with minor adaptations.
Robust protocols to test putative herbicide resistant weed populations at whole plant level are essential to confirm the resistance status. The presented protocols, based on whole-plant bioassays performed in a greenhouse, can be readily adapted to a wide range of weed species and herbicides through appropriate variants. Seed samples from plants that survived a field herbicide treatment are collected and stored dry at low temperature until used. Germination methods differ according to weed species and seed dormancy type. Seedlings at similar growth stage are transplanted and maintained in the greenhouse under appropriate conditions until plants have reached the right growth stage for herbicide treatment. Accuracy is required to prepare the herbicide solution to avoid unverifiable mistakes. Other critical steps such as the application volume and spray speed are also evaluated. The advantages of this protocol, compared to others based on whole plant bioassays using one herbicide dose, are related to the higher reliability and the possibility of inferring the resistance level. Quicker and less expensive in vivo or in vitro diagnostic screening tests have been proposed (Petri dish bioassays, spectrophotometric tests), but they provide only qualitative information and their widespread use is hindered by the laborious set-up that some species may require. For routine resistance testing, the proposed whole plant bioassay can be applied at only one herbicide dose, so reducing the costs.
Herbicides are the most extensively used weed control measure, accounting for up to 50% of the global plant protection market 1. They are relatively cheap tools, avoid labor-intensive and time-consuming soil cultivation practices, and ultimately result in cost-effective, safe and profitable food production 2. However, the great phenological and genetic variability present in many weed species, together with an over-reliance on herbicide use, frequently results in the selection of herbicide-resistant weed populations. The introduction of selective herbicides with a very specific metabolic target 3-5 has dramatically increased the number of resistance cases over the years. To date, 240 weed species (140 dicots and 100 monocots) worldwide have evolved resistance to different herbicide Sites of Action (SoA) 4. This is a major concern for weed management and more in general for sustainable crop production.
Early detection of resistance, based on reliable tests, frequently performed in a greenhouse, is a key step to manage herbicide resistant weeds. Different approaches have been developed according to the aims, required level of accuracy, time and resources available, as well as the weed species considered 6-12. However, when confirmation of the resistance status of a new weed biotype is required (i.e., a group of individuals that share several physiological characteristics, including the ability to survive one or more herbicides belonging to a particular group used at a dose that would normally control them), a robust whole plant bioassay needs to be performed in a controlled environment 4, 11.
A biotype is seldom resistant to just one herbicide. Each biotype is therefore characterized by a certain resistance pattern, i.e., number and type of SoA of the herbicides it is resistant to, and by a given resistance level to each herbicide 13. The early and reliable determination of the pattern of cross or multiple resistance 5, 14 is important for field resistance management.
It is worth mentioning that herbicide resistance has nothing to do with the natural tolerance that some weed species exhibit towards some herbicides, e.g., dicot species vs. ACCase-inhibiting herbicides, monocot species vs. 2,4-D, Equisetum arvense vs. glyphosate.
This paper presents a robust approach for testing putative herbicide resistant biotypes sampled in fields where poor control by herbicide(s) had been reported. Relevant variants to the standard protocols in relation to the weed species involved are presented. The advantages over alternative techniques/protocols based on either whole plant bioassays using only one herbicide dose 15,or treating seeds in Petri dishes 8 are related to the higher reliability and the possibility of inferring the resistance level because of the inclusion of two herbicide doses in the experiments. However, for routine resistance testing, the same methods can be applied at only one herbicide dose, so reducing the costs.
As well as allowing confirmation of the resistance status, the information obtained can be used for both optimizing the following research steps and/or devising sound resistance management strategies.
1. Seed Sampling and Storage
2. Seed Dormancy Breaking
NOTE: Seed dormancy provides a flexible and efficient mechanism that enables weeds to adapt and persist in agro-ecosystems. To break dormancy and allow seed germination, different protocols have to be used depending on weed species, i.e., the type of dormancy 16.
There are three main ways to remove dormancy:
3. Seed Germination
4. Seedling Transplanting and Growth
5. Herbicide Treatments
6. Collection and Analysis of the Data
To assess the resistance status of a putative resistant population, it is fundamental to include a susceptible check in the assay in order to verify the herbicide efficacy. The results of a screening test conducted on P. rhoeas populations, a weed infesting wheat fields, are reported in Figure 2, where the efficacy of four post-emergence herbicides on a susceptible check (09-36) and on the suspected resistant one (10-91) are presented. Population 09-36 was completely controlled by the ALS inhibitor iodosulfuron while only one plant survived dose 1x of the other two ALS herbicides tested, florasulam and tribenuron-methyl (Figure 2). Instead, around 60% of the plants of population 10-91 survived both herbicide doses of iodosulfuron and tribenuron-methyl and around 50% survived the 1x dose of florasulam. These results confirm that population 10-91 is highly resistant (RR) to iodosulfuron and tribenuron-methyl and resistant (R) to florasulam. A different response was observed with 2,4-D, a herbicide having a different SoA (i.e., it mimics endogenous auxin), widely used to control dicot weeds in wheat. Only 33% of plants of the S check were killed with this herbicide at dose 1x and the VEB value was > 20% (Figure 2). The lack of efficacy on the check population does not confirm if population 10-91 is resistant to this herbicide or not. In this case it is recommended to perform the experiment again and if the results are confirmed, to change the S population. An example of good control of the susceptible check is reported in Figure 3. The Echinochloa spp. population 07-16L was completely controlled by all herbicides at the recommended field dose (1x). In this case, it is possible to state that population 08-42 is highly cross-resistant to all ALS inhibitors tested, i.e., azimsulfuron, bispyribac-Na, imazamox and penoxsulam. The not-treated check of both populations is reported on the left. These plants are used to calculate the VEB; the amount of biomass is visually estimated tray by tray giving a score of 10 to the not-treated check and then assigning a score from 0, for the replicate without any green plant tissue, to 10 when the biomass is comparable to the not-treated check (Figure 3).
Another example of output is reported in Figure 4, where plant survival of Lolium spp. to glyphosate is shown. The populations tested were collected in wheat-based cropping systems where glyphosate is exerting different selection pressure (i.e., occasionally or 1-2 treatments per year or 3-more times per year). Plants were sprayed at early tillering stage (BBCH 14-21) using two doses of glyphosate: 480 and 1440 g a.e. ha-1, which represent the minimum and maximum recommended field dose for annual weeds (i.e., therophytes) at that growth stage. Data were collected four weeks after treatment. Based on both experiments, seven of the tested populations had a survival rate of 80% or more (populations 343, 383, 384, 403, 509, 512 and 537) at the lowest dose applied but only 50% of plants of populations 403 and 509 survived the highest glyphosate dose. One population had a survival rate of around 40% at 1x dose, whereas just a few plants of population 509 survived the lowest dose and population 508 was fully controlled at any dose. In summary, these experiments showed different levels of resistance to glyphosate that often reflected the field history of herbicide usage. The level of glyphosate resistance was higher for the populations that had been more intensely treated: i.e., the number of field applications per year and number of years of selection pressure was higher.
The protocol described for one herbicide (Figure 4) can be applied to numerous others having different SoA; in this way the resistance pattern of one or more populations can be determined. An example of resistance pattern variability of Echinochloa spp. populations is reported in Table 1. Historical records of herbicide use and crop management obtained from the farmer indicated that ALS-inhibiting herbicides were the selecting agent (i.e., penoxsulam or imazamox). The resistance test was therefore performed with three ALS-inhibiting herbicides (azimsulfuron, penoxsulam and imazamox) belonging to different chemical families, and one herbicide having another SoA, the ACCase-inhibiting herbicide profoxydim. The susceptible check (07-16L) was completely controlled by all herbicides tested (Table 1). Three resistance patterns were detected: thirteen populations resulted as being resistant only to ALS inhibitors, four populations resulted as being resistant only to the ACCase inhibitor profoxydim, and three populations showed a multiple resistance pattern to both the ACCase inhibitor profoxydim and ALS inhibitors. Within each resistance pattern it is possible to distinguish different biotypes, e.g., four populations resistant to ALS inhibitors survived only treatments with the sulfonylurea azimsulfuron while two of the multi-resistant populations survived only treatment with the ALS inhibitor azimsulfuron but were quite controlled by penoxsulam and imazamox.
Figure 1. Example of C. difformis, a weed species infesting paddy rice, experiment set-up. Polystyrene trays are put into plastic containers and blocked by screwed stainless steel rods to prevent them floating. Water is maintained at 1-2 cm below the level of the soil surface to mimic paddy rice conditions. Photograph was taken four weeks after the treatment. Please click here to view a larger version of this figure.
Figure 2. Response of two P. rhoeas populations to post-emergence herbicides. Effect of iodosulfuron, tribenuron, florasulam and 2,4-D tested at the recommended field dose (1x) and at three times that (3x) on plant survival (blue bars) and visual estimation biomass (VEB; red bars) of the susceptible check (09-36) and of a resistant population (10-91). The assessment was done four weeks after the herbicide treatment. Plant survival and VEB are expressed as percentage of the number of treated plants and the VEB of the not-treated checks (%). The horizontal line at 20% of plant survival represents the discriminating threshold between resistant and susceptible populations when plants are treated at dose 1x. Vertical bars represent standard errors calculated on the mean value of the two replicates. Please click here to view a larger version of this figure.
Figure 3. Visual results of a screening on two Echinochloa spp. populations. The susceptible check, 07-16L (S), and the resistant population, 08-42, were tested with four ALS inhibitors (reported on the right) at two doses, 1x and 3x, (reported at the bottom). For the S check only results of dose 1x are reported, because all plants were already controlled at that dose. Three examples of VEB score are reported in red: 0 = all plants dead, 10 = all plants survived and biomass is comparable to the not-treated (NT) check (reported on the left), 5 = biomass is about half of that in a tray of the not-treated check. Please click here to view a larger version of this figure.
Figure 4. Percentage of plant survival for ten Lolium spp. populations tested with glyphosate. Plant survival recorded in two experiments (blue bars and orange bars for exp. I and II, respectively). Data are expressed as a percentage (%) of the number of treated plants. Two susceptible checks were fully controlled at dose 1x and are therefore not reported in the graph. Two doses were tested, the minimum (1x = 480 g a.e. ha-1) and maximum (3x = 1440 g a.e. ha-1) doses reported on the product label. The horizontal line at 20% of plant survival represents the discriminating threshold between resistant and susceptible populations when plants were treated at dose 1x. Vertical bars represent standard errors calculated on the mean value of the two replicates. Please click here to view a larger version of this figure.
Table 1. Resistance status of twenty one populations of Echinochloa spp. Susceptible check (07-16L) is reported in bold. Resistance levels are reported for each of the four herbicides tested (one ACCase inhibitor, profoxydim, and three ALS inhibitors, azimsulfuron, penoxsulam and imazamox) according to four categories: S = less than 5% of plants survived the herbicide dose 1x, SR = plant survival ranged from 5% to 20% at herbicide dose 1x, R = more than 20% of plants survived the herbicide dose 1x, RR = plant survival was more than 20% at herbicide dose 1x and more than 10% at dose 3x. Different resistance patterns are highlighted: red = resistance only to ACCase inhibitor, yellow = resistance only to ALS inhibitor(s), orange = resistance to the ACCase inhibitor and to at least one ALS inhibitor.
Several steps within the protocols are critical for a successful assessment of herbicide resistance in a population: 1) seeds should be collected when mature from plants that had survived the herbicide treatment(s). Maturation of the seeds on the mother plant is crucial to avoid difficulties in seed germination later; 2) the proper storage of seeds is recommended to avoid proliferation of molds that would prevent germination; 3) seedlings should be treated at the right growth stage, as reported on the label of the herbicide package. Care must be taken so that plants to be treated have reached approximately the same growth stage; 4) the herbicide solutions should be prepared and handled with accuracy so that plants are sprayed with the correct concentration of active ingredient therefore avoiding unverifiable mistakes; 5) after each herbicide treatment it is recommended to thoroughly clean the spraying cabinet and glassware used to prepare the solutions to avoid contamination in the following herbicide treatment, especially when highly biologically active herbicides are involved.
The protocols presented herein can be readily adapted to a wide range of weed species with the necessary modifications according to species and herbicides of interest. In particular, methods to break seed dormancy and for germination are steps that should be reconsidered for each new weed species (see sections 2 and 3). Spraying equipment sometimes needs adjustments when different herbicides are used, e.g., glyphosate requires different settings of the spraying cabinet (see section 5.3) and plants are treated at a later growth stage than with most herbicides.
The time and space required to perform these protocols can be a limiting factor and may not be suitable for routine testing. However, to limit the costs, only one herbicide dose may be used. In this way information can still be obtained on whether the population is resistant. A potential limitation of the approach is related to the fact that no resistant checks are included in the experiments. In fact, due to the large number of biotypes evaluated (i.e., different species and herbicides involved), many checks should be included in each experiment, so increasing the costs.
However, the advantages over alternative techniques/protocols based on whole plant bioassays using only one herbicide dose 15 are related to the higher reliability and the possibility of inferring the resistance level. Quicker and less expensive diagnostic screening tests have also been devised, in vivo or in vitro (e.g., Petri dish bioassays 8, spectrophotometric tests on herbicide target enzyme 29). However, they only provide qualitative information and require some preliminary work, sometimes laborious, to identify the herbicide dose for discriminating between resistant and susceptible plants. The in vitro assays also need to be adapted according to the active ingredient used.
The authors have nothing to disclose.
The research was supported by the National Research Council (CNR) of Italy. The authors thank GIRE members for collecting seed samples and are grateful to Alison Garside for revising the English.
Paper bags | Celcar SAS | ||
Plastic dishes | ISI plast S.p.A. | SO600 | Transparent plastic |
Sulfuric acid 95-98% | Sigma-Aldrich | 320501 | |
Non-woven fabric | Carretta Tessitura | Art.TNT17 | Weight 17 gr m–² |
Chloroform >99.5% | Sigma-Aldrich | C2432 | |
Agar | Sigma-Aldrich | A1296 | |
Potassium nitrate >99.0% | Sigma-Aldrich | P8394 | |
Plastic containers | Giganplast | 1875/M | 600 x 400 x 110 mm |
Plastic trays | Piber plast | G1210A | 325 x 265 x 95 mm |
Polystyrene trays | Plastisavio | S24 | 537x328x72 mm, 24 round cells (6×4) |
Copper sulfate | Sigma-Aldrich | 451657 | |
Agriperlite | Blu Agroingross sas | AGRI100 | |
Peat | Blu Agroingross sas | TORBA250 | |
Germination cabinet | KW | W87R | |
Nozzles | Teejet | XR11002-VK, TP11001-VH | The second type of nozzles are used only for glyphosate |
Barcode generator | Toshiba TEC | SX4 | |
Labels with barcode | Felga | TT20200 | Stick-in labels with rounded corners |
Barcode reader | Cipherlab | 8300-L | Portable data terminal |
Bench sprayer | – | – | Built in house |
HERBICIDES INCLUDED IN THE RESULTS: | |||
Commercial product | Active ingredient | Company | Comments |
Altorex | imazamox | BASF | |
Azimut | florasulam | Dow AgroSciences | |
Biopower | Bayer Crop Science | Surfact to be used with Hussar WG | |
Dash | BASF | Surfact to be used with Altorex | |
Granstar | tribenuron-methyl | Dupont | |
Gulliver | azimsulfuron | Dupont | |
Hussar WG | iodosulfuron | Bayer Crop Science | |
Nominee | bispyribac-Na | Bayer Crop Science | |
Roundup | glyphosate | Monsanto | |
Trend | Dupont | Surfact to be used with Granstar and Gulliver | |
Viper | penoxsulam | Dow AgroSciences | |
Weedone LV4 | 2,4-D | Isagro |