Hostname: page-component-69cd664f8f-nfhdw Total loading time: 0 Render date: 2025-03-12T19:43:32.237Z Has data issue: false hasContentIssue false

Synergistic effect of pyridate-based herbicide mixtures for controlling multiple herbicide-resistant kochia (Bassia scoparia)

Published online by Cambridge University Press:  30 October 2024

Sachin Dhanda
Affiliation:
Graduate Research Assistant, Kansas State University, Agricultural Research Center, Hays, KS, USA
Vipan Kumar*
Affiliation:
Associate Professor, Cornell University, School of Integrative Plant Science, Soil and Crop Sciences Section, Ithaca, NY, USA
Patrick W. Geier
Affiliation:
Assistant Scientist, Kansas State University, Southwest Research and Extension Center, Garden City, KS, USA
Randall S. Currie
Affiliation:
Associate Professor, Kansas State University, Southwest Research and Extension Center, Garden City, KS, USA
J. Anita Dille
Affiliation:
Professor, Kansas State University, Department of Agronomy, Manhattan, KS, USA
Augustine Obour
Affiliation:
Professor, Kansas State University, Agricultural Research Center, Hays, KS, USA
Elizabeth A. Yeager
Affiliation:
Associate Professor, Kansas State University, Department of Agricultural Economics, Manhattan, KS, USA
Johnathan Holman
Affiliation:
Professor, Kansas State University, Southwest Research and Extension Center, Garden City, KS, USA
*
Corresponding author: Vipan Kumar; Email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Multiple herbicide classes–resistant (MHCR) kochia poses a serious concern for producers in the Central Great Plains, including western Kansas. Greenhouse and field experiments were conducted at Kansas State University Research and Extension Centers near Hays and Garden City, KS, to evaluate pyridate-based postemergence herbicide mixtures for controlling MHCR kochia. One previously confirmed MHCR population (resistant to atrazine, glyphosate, dicamba, and fluroxypyr) and a susceptible (SUS) kochia population were tested in a greenhouse study. The kochia population at Hays field site was resistant to atrazine, dicamba, and glyphosate, whereas the kochia population at the Garden City site was resistant to atrazine and glyphosate. Colby’s analysis revealed synergistic interactions when pyridate was mixed with atrazine, dicamba, dichlorprop-p, fluroxypyr, glyphosate, or halauxifen/fluroxypyr and resulted in ≥94% control and shoot dry-biomass reduction of MHCR kochia in a greenhouse study. Similarly, synergistic interactions were observed for MHCR kochia control in fallow field studies at both sites when pyridate was mixed with glyphosate or atrazine. Kochia control was increased from 26% to 90% with the application of glyphosate + pyridate and from 28% to 95% with atrazine + pyridate at both sites as compared to separate applications of glyphosate or atrazine. This is the first report for such a strong synergistic effect for both glyphosate and atrazine mixtures with pyridate on a weed resistant to both. All other pyridate-based herbicide mixtures showed an additive interaction and resulted in better control of MHCR kochia (87% to 100%) as compared to their individual applications (23% to 92%) across both sites except 2,4-D. These results suggest that pyridate can play a crucial role in various postemergence herbicide mixtures for effective control of MHCR kochia.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of Weed Science Society of America

Introduction

Kochia is a C4 summer annual broadleaf weed in the Chenopodiaceae family and is a major challenge to crop production in the U.S. Great Plains (Kumar et al. Reference Kumar, Jha, Jugulam, Yadav and Stahlman2019a). Kochia has been reported as the second most troublesome weed in alfalfa (Medicago sativa L.), canola (Brassica napus L.), and spring cereals (Van Wychen Reference Van Wychen2022). Kochia is an early-emerging summer annual weed, appearing early in the spring with an extended period of emergence (from mid-February through mid-June) (Dille et al. Reference Dille, Stahlman, Du, Geier, Riffel, Currie, Wilson, Sbatella, Westra, Kniss and Moechnig2017; Friesen et al. Reference Friesen, Beckie, Warwick and Van Acker2009; Kumar et al. Reference Kumar, Jha, Dille and Stahlman2018). Kochia is tolerant to abiotic stresses (heat, drought, and salinity), a prolific seed producer (one plant can produce >100,000 seeds) and exhibits a wind-mediated tumble mechanism of seed dispersal (Christoffoleti et al. Reference Christoffoleti, Westra and Moore1997; Friesen et al. Reference Friesen, Beckie, Warwick and Van Acker2009; Kumar et al. Reference Kumar, Jha, Jugulam, Yadav and Stahlman2019a). Season-long interference of kochia can reduce grain yield by 68% in corn (Zea mays L.), 62% in sorghum [Sorghum bicolor (L.) Moench ssp. bicolor], 46% in sugarbeet (Beta vulgaris L.), and 23% in sunflower (Helianthus annuus L.) (Geddes and Sharpe Reference Geddes and Sharpe2022). Similarly, kochia at densities of 240 to 520 plants m–2 has been reported to reduce spring wheat (Triticum aestivum L.) grain yield by 60% (Friesen et al. Reference Friesen, Mayert and Morrison1991). Kochia plants escaping postemergence herbicide applications in the spring or late-emerging cohorts can also hinder mechanical wheat harvest (Kumar and Jha Reference Kumar and Jha2015a; Torbiak et al. Reference Torbiak, Blackshaw, Brandt, Hamman and Geddes2021). In addition to many crop situations, kochia infestation is also highly problematic during fallow periods of the crop rotations (winter wheat-fallow or winter wheat-summer crop-fallow) (Kumar et al. Reference Kumar, Jha, Jugulam, Yadav and Stahlman2019a).

Kochia populations resistant to five different herbicide sites of action (SOAs) (WSSA Groups 2, 4, 5, 9, and 14) have been documented (Heap Reference Heap2024; Kumar et al. Reference Kumar, Jha, Jugulam, Yadav and Stahlman2019a; Sharpe et al. Reference Sharpe, Leeson, Geddes, Willenborg and Beckie2023; Westra et al. Reference Westra, Nissen, Getts, Westra and Gaines2019). The widespread evolution of glyphosate- and acetolactate synthase (ALS) inhibitors–resistant kochia populations have been reported across the U.S. Great Plains (Godar et al. Reference Godar, Stahlman, Jugulam and Dille2015; Kumar et al. Reference Kumar, Jha, Jugulam, Yadav and Stahlman2019a). With the frequent use of dicamba and fluroxypyr, resistance to these herbicides has also become more prevalent (Heap Reference Heap2024; Kumar et al. Reference Kumar, Currie, Jha and Stahlman2019b; Westra et al. Reference Westra, Nissen, Getts, Westra and Gaines2019). Furthermore, a few kochia populations with resistance to four herbicide SOAs, including inhibitors of photosystem (PS) II (Group 5), ALS (Group 2), 5-enolpyruvylshikimate-3-phosphate synthase (EPSPS) (Group 9), and synthetic auxins (Group 4) have also been reported from Kansas (Heap Reference Heap2024). This rapid evolution of multiple herbicide classes–resistant (MHCR) kochia populations poses a serious management challenge by limiting the effectiveness of commonly used postemergence herbicides.

Pyridate, introduced in 1976, is a contact, postemergence herbicide that belongs to the photosystem (PS) II inhibitor mode of action (WSSA Group 6). It controls both grass and broadleaf weeds by inhibiting electron transfer through blocking amino acid histidine 215 at the A site of PS II (Székács Reference Székács, Mesnage and Zaller2021). Tonks and Westra (Reference Tonks and Westra1997) have previously reported 16% to 60% control of sulfonylurea-resistant kochia with pyridate alone. Wicks et al. (Reference Wicks, Martin, Haack and Mahnken1994) reported 89% control of atrazine-resistant kochia with pyridate alone at 21 d after treatment (DAT). The application of two or more herbicide SOAs as a mixture is generally recommended to mitigate/delay the evolution of herbicide resistance in weeds as a component of integrated weed management (Beckie and Reboud Reference Beckie and Reboud2009; Green Reference Green1991). For example, Wicks et al. (Reference Wicks, Martin and Mahnken1993) reported >95% control of atrazine-resistant kochia with pyridate + flurochloridone at 21 to 30 DAT. Nonetheless, limited research exists regarding effectiveness of pyridate-based herbicide mixtures to control MHCR kochia. Therefore, the main objective of this study was to evaluate pyridate-based postemergence herbicide mixtures for controlling MHCR kochia in western Kansas.

Materials and Methods

Greenhouse Study

Greenhouse experiments were conducted at Kansas State University Agricultural Research Center (KSU-ARC) near Hays, KS, in the spring of 2022 and repeated in the fall of 2022. A previously confirmed MHCR kochia population and a susceptible population (SUS) were used. The MHCR kochia population was originally collected from Garden City, KS, and was confirmed resistant to atrazine, glyphosate, dicamba, and fluroxypyr (Kumar et al. Reference Kumar, Liu, Currie, Jha, Morran, Gaines and Stahlman2020); the SUS population was collected from a pasture field at KSU-ARC in 2020 and was confirmed susceptible to glyphosate, dicamba, atrazine, and fluroxypyr (Kumar et al. Reference Kumar, Currie, Jha and Stahlman2019b). Seeds for both MHCR and SUS kochia populations were separately sown in plastic trays (54 by 28 by 10 cm) containing commercial potting mixture (Miracle-Gro® Moisture Control® Potting Mix; Miracle-Gro Lawn Products, Scottslawn Road, Marysville, OH). The temperature in the greenhouse was maintained at 25/23 ± 3 C day/night and a 16 h/8 h (day/night) photoperiod was supplemented with metal-halide lamps (560 μmol m–2 s–1). When kochia seedlings from each population reached 2 to 3 cm tall, they were transplanted into 10- by 10-cm squared plastic pots (one seedling per pot) containing the same potting mixture as mentioned above. Experiments were conducted in a randomized complete block design with 12 replications (one plant per pot = one replication). Kochia seedlings from both populations were watered once daily to avoid moisture stress. Actively growing young kochia seedlings (6 to 9 cm tall) from each population were treated with selected postemergence treatments according to the herbicides label guidelines (Table 1) using a stationary-cabinet spray chamber (Research Track Sprayer; De Vries Manufacturing, Hollandale, MN), equipped with an even flat-fan nozzle tip (TeeJet 8001EXR Spraying System, Wheaton, IL) calibrated to deliver 132 L ha–1 of spray solution at 241 kPa. Percent visible control ratings were recorded at 7, 21, and 28 DAT. Ratings were based on herbicide injury symptoms such as chlorosis, epinasty (curling, twisting, and cupping), and necrosis of kochia seedlings on a scale of 0% (no control) to 100% (complete control). At 28 DAT, each plant was clipped at the soil surface, placed in a paper bag, and dried at 65 C for 4 d to obtain shoot dry biomass. The data for shoot dry biomass was used to calculate the percent reduction of shoot dry biomass using Equation 1:

(1) $${\rm{Shoot\;dry\;biomass\;reduction\;}}\left( {\rm{\% }} \right) = \left[ {{{BC - BT}}\over{{BC}}} \right]\;100$$

where BC is the average shoot dry biomass from the nontreated check treatment and BT is the shoot dry biomass from a treated pot. Price estimates for herbicides were obtained from the average prices listed in the K-State Chemical Weed Control Guide for 2022 and 2023 (Lancaster et al. Reference Lancaster, Fick, Currie and Kumar2024a, Reference Lancaster, Fick, Currie and Kumar2024b).

Table 1. List of herbicides alone or in mixtures with pyridate tested for controlling multiple herbicide classes–resistant kochia under greenhouse and field experiments.

a A slash refers to a mixture product of two herbicides.

b WSSA Groups: 4 – auxin mimics: 41 – phenoxycarboxylates, 43 – 6-arylpicolinates, 44 – pyridyloxycarboxylates, 45 – benzoates; 5 – D1 Serine 264 binders: 51 – triazines; 6 – D1 histidine 215 binders: 61 – nitriles, 62 – phenyl-pyridazines; 9 – inhibition of enolpyruvyl shikimate phosphate synthase; 27 – inhibition of hydroxyphenyl pyruvate dioxygenase: 271 – pyrazoles (Source HRAC, Global Herbicide Classification Lookup | Herbicide Resistance Action Committee – hracglobal.com).

c Abbreviations: AMS, ammonium sulfate; NIS, nonionic surfactant.

d Adjuvant rates: AMS (2% w/v); NIS, 0.25% v/v.

Field Experiments

Field experiments were conducted in fallow fields at KSU-ARC near Hays, KS and at Kansas State University Southwest Research and Extension Center (KSU-SWREC) near Garden City, KS in 2023 (sorghum stubble at Hays and wheat stubble in Garden City). Soil type at the KSU-ARC site was Roxbury silt loam with a pH of 7.4 and 2.1% organic matter, whereas the soil type at KSU-SWREC site was Ulysses silt loam with a pH of 8.0 and 1.4% organic matter. The field site at KSU-ARC had a history of the kochia population surviving field-use rate of atrazine (1,120 g ha–1), dicamba (560 g ha–1), and glyphosate (1,260 g ha–1) (personal observations). Similarly, the kochia population at KSU-SWREC site had previously survived postemergence applications of atrazine and glyphosate (personal communication, Dr. Randall Currie). At both sites, the same treatments as the greenhouse experiment (Table 1) were laid out in a randomized complete block design with four replications. Plot size was 3 m wide by 9 m long at both sites. Data for daily maximum and minimum air temperature and precipitation at both field sites during the study period were obtained from nearby Kansas Mesonet (https://mesonet.k-state.edu) weather stations. For the KSU-ARC site, the weather station (38.8495°N, 99.3446°W) was located approximately 500 m away from the study site, and for KSU-SWREC, the weather station was approximately 700 m away from the study site (37.997°N, 100.815°W). Weather data from both sites are presented in Figures 1 and 2. All treatments (Table 1) were applied at their recommended field-use rates on young, actively growing kochia seedlings (5 to 9 cm tall) using a CO2-pressurized backpack sprayer equipped with four flat-fan nozzles (TeeJet 8001XR, Spraying Systems Co., Wheaton, IL), calibrated to deliver 132 L ha–1 of spray solution at 276 kPa. Treatments were applied on May 23 at KSU-ARC and on May 29 at KSU-SWREC. Data for percent visible control of kochia was recorded at 7, 14, and 28 DAT on a scale of 0 to 100%, where 0% indicates no control and 100% indicates complete control as compared to a nontreated check. Kochia density was recorded at 28 DAT using a 1-m2 quadrat placed at the center of each plot, and the kochia plants were manually clipped at the soil level and shoot dry biomass was determined after oven-drying the samples at 65 C for 4 d. Similar to the greenhouse study, kochia density and aboveground shoot dry-biomass data were converted to a percent reduction compared to the nontreated.

Figure 1. Daily minimum and maximum air temperature (C) and precipitation (mm) during the growing season at Kansas State University Agricultural Research Center (KSU-ARC) near Hays, KS.

Figure 2. Daily minimum and maximum air temperature (C) and precipitation (mm) during the growing season at Kansas State University Southwest Research and Extension Center (KSU-SWREC) near Garden City, KS.

Statistical Analyses

All the data collected from greenhouse and field studies were subjected to ANOVA using PROC MIXED procedure in SAS 9.3 (SAS Institute, Inc., Cary, NC). The data from nontreated plots were not included in the analyses. Data were checked for the ANOVA assumptions using the PROC UNIVARIATE procedure in SAS. Data on percent visiblecontrol, percent reduction in density, and percent reduction in shoot dry biomass were arcsine square root transformed before analysis to improve the homogeneity of variance and normality of the residuals; however, back-transformed data were presented with mean separation based on the transformed data. Treatments, experimental runs, kochia populations, and their interactions were considered fixed effects for greenhouse experiments, whereas sites, treatments, and their interactions were considered fixed effects for field experiments. The replication and all interactions involving replication were considered as random effects for both greenhouse and field experiments. Data from both runs from greenhouse experiments were pooled because of nonsignificant experimental run-by-herbicide treatment interaction (P = 0.36). Data from KSU-ARC and KSU-SWREC sites were analyzed separately because of significant treatment-by-site interaction (P <0.0001). Treatment means were separated using Fisher’s protected LSD test (P < 0.05).

Expected values with herbicide mixtures for percent kochia control and percent reduction in shoot dry biomass for greenhouse study and for percent kochia control, percent reduction in density, and percent reduction in shoot dry biomass for field studies were calculated using Colby’s analysis with equation (Eq. 2) to determine the interaction of tested herbicides (Colby Reference Colby1967):

(2) $$E = \left( {X + Y} \right) - {\rm{\;}}{{\left( {XY} \right)}\over{100}}$$

where E is the expected values of the response variable to the application of herbicides A + B in a mixture, and X and Y are the respective observed values of the response variables to the individual application of herbicide A and B, respectively. The expected and observed percent kochia control, percent reduction in density, and percent reduction in shoot dry biomass were compared using t-tests to determine if those mean values differed. When the observed mean for the mixture was less than the expected mean, the interaction was considered antagonistic. If the observed mean was greater than the expected mean, the interaction was considered synergistic. The interaction of herbicide mixture was considered additive when expected and observed means were not different according to t-test P < 0.05 (Colby Reference Colby1967).

Results and Discussion

Greenhouse Study

Percent Visible Control. Both MHCR and SUS kochia populations showed differential responses with a significant interaction between populations and herbicide treatments (P < 0.0001). All pyridate-based herbicide mixtures, except 2,4-D + pyridate, resulted in >90% control of MHCR kochia, and all other herbicides (without pyridate) resulted in less than 50% control of MHCR kochia population at 14 and 28 DAT, except for bromoxynil/pyrasulfotole (92% at 28 DAT) (Table 2). The increased control from 28% to 79% at 14 DAT with 2,4-D + pyridate compared to 2,4-D alone was not enough to alleviate it to an acceptable level. Application of atrazine, halauxifen/fluroxypyr, glyphosate, fluroxypyr, or dicamba provided 11% to 49% control of the MHCR kochia population at 28 DAT, however, the control increased to 98% to 100% after adding pyridate with these herbicides. The addition of pyridate increased the cost of the mixtures by $27 ha–1 (Table 1). Colby’s analysis further revealed synergistic interactions for MHCR kochia control when pyridate was mixed with atrazine, dichlorprop-p, halauxifen/fluroxypyr, glyphosate, fluroxypyr, or dicamba (Table 2). These results indicate the benefit of adding pyridate with these postemergence herbicides to control MHCR kochia. Application of bromoxynil/pyrasulfotole alone or with pyridate resulted in 92% to 100% control of the MHCR kochia population. It is important to note that no synergism was observed with pyridate + bromoxynil/pyrasulfotole, because the expected control of this combination was already very high (96%). All pyridate-based herbicide mixtures (except 2,4-D + pyridate) provided >95% control of the SUS kochia population at 14 and 28 DAT (Table 2). Bromoxynil/pyrasulfotole and atrazine resulted in 97% to 100% control of the SUS kochia population at 28 DAT followed by dicamba (91%), fluroxypyr (88%), glyphosate (88%), and halauxifen/fluroxypyr (85%). Previous studies have also reported effective kochia control (85% to 100%) with bromoxynil + pyrasulfotole (Kumar and Jha Reference Kumar and Jha2015b; Sbatella et al. Reference Sbatella, Adjesiwor, Kniss, Stahlman, Westra, Moechnig and Wilson2019). Application of pyridate alone provided 52% to 72% control of both MHCR and SUS populations at 28 DAT. Tonks and Westra (Reference Tonks and Westra1997) have also previously reported 16% to 60% control of sulfonylurea-resistant kochia with pyridate alone. Kousta et al. (Reference Kousta, Katsis, Tsekoura and Chachalis2024) reported 53% control of common lambsquarters (Chenopodium album L) with pyridate alone. Wicks et al. (Reference Wicks, Martin and Mahnken1993) reported >95 control of atrazine-resistant kochia with pyridate + flurochloridone at 21 to 30 DAT. The application of 2,4-D provided only 12% to 30% control for both MHCR and SUS populations at 28 DAT. Several previous studies have also reported poor kochia control with 2,4-D alone (Friesen et al. Reference Friesen, Morrison, Rashid and Devine1993; Nandula and Manthey Reference Nandula and Manthey2002; Tonks and Westra Reference Tonks and Westra1997).

Table 2. Percent control at 14 and 28 d after treatment (DAT) and shoot dry-biomass reduction of multiple herbicide classes–resistant (MHCR) a and susceptible (SUS) kochia populations in the greenhouse experimentb,c .

a Kochia population confirmed resistant to atrazine, glyphosate, dicamba, and fluroxypyr.

b Means followed by the same letter within a column are not different according to Fisher’s protected LSD at P < 0.05.

c Asterisks indicate that observed and expected values were different as determined by t-test (P < 0.05), indicating synergistic interaction of herbicides applied in mixtures based on Colby’s equation (Eq. 2).

Percent reduction in shoot dry biomass. Consistent with percent visible control, all pyridate-based herbicide mixtures provided 94% to 100% reduction in shoot dry biomass of MHCR kochia, except 2,4-D + pyridate (Table 2). The MHCR population was confirmed resistant to atrazine, glyphosate, dicamba, and fluroxypyr (Kumar et al. Reference Kumar, Currie, Jha and Stahlman2019b, Reference Kumar, Liu, Currie, Jha, Morran, Gaines and Stahlman2020). Application of 2,4-D and glyphosate provided the least shoot dry-biomass reduction (14% to 17%) of MHCR kochia. Percent reduction in shoot dry biomass changed from 17% to 99% with glyphosate + pyridate, 33% to 99% with fluroxypyr + pyridate, and 45% to 99% with dicamba + pyridate compared to glyphosate, fluroxypyr, or dicamba alone, respectively. Greater observed percent reduction of shoot dry biomass for MHCR kochia as compared to the expected values for dicamba + pyridate, glyphosate + pyridate, halauxifen/fluroxypyr + pyridate, fluroxypyr + pyridate, dichlorprop-p + pyridate, and atrazine + pyridate indicated the synergistic interactions of pyridate-based mixtures (Table 2). Consistent with percent control ratings, all herbicide treatments except dichlorprop-p, pyridate, 2,4-D, and 2,4-D + pyridate resulted in >90% reduction in shoot dry biomass of the SUS population. Atrazine, bromoxynil/pyrasulfotole, and all pyridate-based herbicide mixtures resulted in 97% to 100% shoot dry-biomass reduction of the SUS population except for 2,4-D + pyridate. Both kochia control and shoot dry-biomass reduction were strongly correlated with correlation coefficients of 0.9427 and 0.9809 for MHCR and SUS populations, respectively (data not shown). These results are consistent with previous researchers, who have reported excellent levels of reduction in shoot dry biomass (83% to 99%) of glyphosate-resistant kochia with bromoxynil/pyrasulfotole and bromoxynil/MCPA (Burton et al. Reference Burton, Shirriff and Beckie2014; Kumar et al. Reference Kumar, Jha and Reichard2014). Dichlorprop-p + pyridate provided 94% to 98% reduction in shoot dry biomass for both MHCR and SUS kochia populations. In our previous research, we have also observed 87% to 89% shoot dry-biomass reduction of a MHCR kochia population with dicamba + halauxifen/fluroxypyr + dichlorprop-p (Dhanda et al. Reference Dhanda, Kumar, Geier, Currie, Dille, Obour, Yeager and Holman2023). In that same study, synergistic interactions were also observed when dicamba was mixed with dichlorprop-p, 2,4-D, dichlorprop-p + 2,4-D, and halauxifen/fluroxypyr + 2,4-D for shoot dry-biomass reductions (86% to 92%) of MHCR kochia (Dhanda et al. Reference Dhanda, Kumar, Geier, Currie, Dille, Obour, Yeager and Holman2023).

Field Experiments

Daily mean air temperatures during the study period (end of May through end of June) at KSU-ARC ranged from 14 to 24 C with a total precipitation of 111 mm at KSU-ARC site (Figure 1). Daily mean air temperatures at KSU-SWREC were similar and ranged from 14 to 29 C during the study period (end of May through June). However, the KSU-SWREC site had relatively more precipitation of 156 mm during the study period (Figure 2). At the KSU-ARC site, only kochia was the dominant weed, whereas at the KSU-SWREC site, kochia and Palmer amaranth (Amaranthus palmeri S. Watson) were the two dominant weeds.

At the KSU-ARC site, all pyridate-based herbicide mixtures provided ≥85% control of the MHCR kochia population at 14 and 28 DAT, except 2,4-D + pyridate (Table 3). The lower control with 2,4-D + pyridate might be due to low efficacy of 2,4-D for kochia control as reported by several previous studies (Friesen et al. Reference Friesen, Morrison, Rashid and Devine1993; Nandula and Manthey Reference Nandula and Manthey2002; Tonks and Westra Reference Tonks and Westra1997). The relatively lower kochia control with pyridate-based herbicide mixtures in field conditions as compared to greenhouse might be due to the dry field conditions (Figure 1) and higher density of kochia in the field (165 plants m–2) forming a thick mat, which likely reduced the herbicide coverage. Complete plant coverage for contact herbicides like pyridate is important to achieve effective control (Butts et al. Reference Butts, Barber, Norsworthy and Davis2021). Mixing pyridate with either bromoxynil/pyrasulfotole, fluroxypyr, or atrazine provided 88% to 90% visual control at 14 DAT and 91% to 94% at 28 DAT (Table 3). These same treatments reduced kochia density by 96% to 98% compared to the nontreated weedy check at 28 DAT. Similarly, two-way mixtures increased percent visible kochia control from 28% to 88% with glyphosate + pyridate, 33% to 91% with atrazine + pyridate, and 48% to 89% with dicamba + pyridate as compared to glyphosate, atrazine, or dicamba alone, respectively (Table 3). Synergistic interactions were observed when pyridate was mixed with glyphosate, atrazine, or dicamba, which resulted in greater percent visible control with mixtures than their standalone applications (Table 3). Wicks et al. (Reference Wicks, Martin and Mahnken1993) also reported 56% to 84% control of atrazine-resistant kochia with cyanazine + atrazine + pyridate at 21 to 30 DAT as compared to cyanazine + atrazine (0 to 7% control). In that same study, higher control of atrazine-resistant kochia was reported with pyridate + flurochloridone (98% to 100%) as compared to flurochloridone alone (70% to 96%). In our current study, synergistic interactions were also observed for density reduction when pyridate was mixed with atrazine, dicamba, dichlorprop-p, fluroxypyr, glyphosate, or halauxifen/fluroxypyr (Table 3). Consistent with percent control, all pyridate-based mixtures, except 2,4-D + pyridate provided ≥90% shoot dry-biomass reduction. The application of 2,4-D + pyridate provided 63% kochia control and 65% shoot dry-biomass reduction at 28 DAT while 2,4-D alone provided the least kochia control (14%) and shoot dry-biomass reduction (23%) (Table 3). Mixing of pyridate with glyphosate, atrazine, or dicamba resulted in ≥90% shoot dry-biomass reduction as compared to glyphosate-, atrazine-, or dicamba-alone treatments (39% to 53% reduction). Colby’s analysis for shoot dry-biomass reduction revealed a synergistic interaction between glyphosate and pyridate (Table 3). The correlation coefficient for kochia control and shoot dry-biomass reduction was 0.888, and it was 0.9301 for kochia control and density reduction (data not shown). The high correlation coefficient values suggest that all response variables were consistent in describing herbicide efficacy. For all other pyridate-based mixtures, no significant differences were reported between observed values for shoot dry-biomass reduction and expected values, indicating additive effects of mixing pyridate for better control of MHCR kochia as compared to not adding pyridate in the mixtures. These results are consistent with Wicks et al. (Reference Wicks, Martin and Mahnken1993), who previously reported greater reduction in shoot dry biomass of atrazine-resistant kochia with pyridate + flurochloridone (93%) as compared to flurochloridone alone (76%).

Table 3. Average percent control at 14 and 28 d after treatment (DAT), density reduction, and shoot dry-biomass reduction of atrazine-, dicamba-, and glyphosate-resistant kochia in a field study during 2023 at Kansas State University Agricultural Research Center (KSU-ARC) near Hays, KS ac.

a Means followed by the same letter within a column are not different according to Fisher’s protected LSD at P < 0.05.

b Asterisks indicate that observed and expected values were different as determined by t-test (P < 0.05), indicating synergistic interaction of herbicides applied in mixtures based on Colby’s equation (Eq. 2).

c Values in parentheses are observed kochia density (plants m–2).

At the KSU-SWREC site, percent visible control and percent reduction of shoot dry biomass of MHCR kochia were relatively greater compared to KSU-ARC site. In general, kochia density was less at KSU-SWREC (13 plants m–2) as compared to KSU-ARC (165 plants m–2), which likely improved herbicide coverage at KSW-SWREC compared to the dense mat of kochia at KSU-ARC (Table 4). Also, more precipitation at KSU-SWREC (156 mm) than at KSU-ARC (111 mm) may have resulted in actively growing kochia at time of herbicide application (Figures 1 and 2). All pyridate-based mixtures provided ≥85% control at 14 DAT and >90% at 28 DAT, except 2,4-D + pyridate. Bromoxynil/pyrasulfotole alone or with pyridate resulted in 92% to 100% control and 81% to 98% reduction in kochia density at 28 DAT compared to nontreated (Table 4). Furthermore, mixing pyridate with atrazine, fluroxypyr, halauxifen/fluroxypyr, and dicamba resulted in 94% to 98% kochia control at 28 DAT. These treatments reduced kochia density by 85% to 97% compared to nontreated (Table 4). Colby’s analysis further revealed synergistic interactions between pyridate and atrazine as well as between pyridate and glyphosate for kochia control (Table 4). Consistent with percent control, bromoxynil/pyrasulfotole and all pyridate-based mixtures, except 2,4-D + pyridate, provided ≥90% shoot dry-biomass reduction. Based on Colby’s analysis, synergistic interactions for kochia density reduction and shoot dry-biomass reduction were observed when pyridate was mixed with atrazine or glyphosate. The shoot dry-biomass reduction increased from 18% to 99% with atrazine + pyridate and 15% to 90% with glyphosate + pyridate compared to atrazine or glyphosate alone. Similarly, kochia density reduction was greater (85% to 96%) when pyridate was mixed with atrazine or glyphosate as compared to their individual application (23%) without pyridate. The least reduction in kochia density (18% to 23%) and shoot dry-biomass reduction (15% to 23%) was obtained with the 2,4-D-, glyphosate-, and atrazine-alone treatments (Table 4). The correlation coefficient between kochia control and shoot dry-biomass reduction was 0.9733 (data not shown). Similarly, the correlation coefficient between kochia control and density reduction was 0.9456 (data not shown). These high correlation coefficient values suggest that all response variables consistently represented herbicide efficacy. These results indicate that pyridate can play an important role as partner with other herbicides for effective control of MHCR kochia. These findings are consistent with Seidel and Russell (Reference Seidel and Russel1990), who previously reported greater control (91% to 97%) of lanceleaf sage (Salvia reflexa L. Hornem.) and turnipweed (Rapistrum rugosum L. All) when pyridate was mixed with metribuzin as compared to pyridate alone (59% to 78% control).

Table 4. Average percent control at 14 and 28 d after treatment (DAT), density reduction, and shoot dry-biomass reduction of atrazine- and glyphosate-resistant kochia in a field study during 2023 at Kansas State University Southwest Research and Extension Center (KSU-SWREC) near Garden City, KS ac.

a Means followed by the same letter within a column are not different according to Fisher’s protected LSD at P < 0.05.

b Asterisks indicate that observed and expected values were different as determined by t-test (P < 0.05), indicating synergistic interaction of herbicides applied in mixtures based on Colby’s equation (Eq. 2).

c Values in parentheses are observed kochia density (plants m–2).

Practical Implications

With the widespread evolution and spread of MHCR weed populations, the use of herbicide mixtures containing multiple SOAs could play a crucial role in managing these MHCR weed populations and to further delay/mitigate evolution of herbicide resistance (Norsworthy et al. Reference Norsworthy, Ward, Shaw, Llewellyn, Nichols, Webster, Bradley, Frisvold, Powles, Burgos, Witt and Barrett2012). Results from the current study suggest that mixing of pyridate with atrazine, dicamba, dichlorprop-p, fluroxypyr, glyphosate, or halauxifen/fluroxypyr had synergistic or additive interactions and resulted in greater control of MHCR kochia than without adding pyridate in mixtures. These pyridate-based mixtures can effectively control MHCR kochia in fallow fields or burndown scenarios (prior to crop planting or after crop harvest) with careful considerations of the rotational crops to be grown. However, it is important to note that these pyridate-based mixtures incur higher costs, ranging from $33 to $60 ha–1 compared to their standalone applications, ranging from $6 to $33 ha–1 (Table 1). At present, according to the pyridate label (Anonymous 2024), it is labeled to apply in field corn, seed corn, popcorn, chickpea (Cicer arietinum L.), lentils (Lens culinaris Medik.), and mint (Mentha arvensis L). It is critical to note that overreliance on these pyridate-based mixtures should be avoided to prevent further evolution and spread of MHCR kochia populations. Along with these pyridate-based mixtures, growers should also integrate other weed control tactics in their crop rotations, including the use of effective preemergence herbicides, competitive crop rotations, narrow crop row spacing, cover crops, occasional tillage, harvest weed seed control technologies (chaff lining, impact mills), and precision spray technologies for controlling the seed bank of MHCR kochia. Future studies will investigate the potential biochemical interactions to understand the possible underlying mechanism(s) of synergistic interactions among pyridate-based mixtures for MHCR kochia control.

Acknowledgements

We thank Dr. Rui Liu, Mr. Taylor Lambert, and Mr. Matthew Vredenburg for their assistance in conducting greenhouse and field studies at Hays. This publication is contribution no. 24-227-J from the Kansas Agricultural Experiment Station, Manhattan, KS.

Funding statement

We thank Belchim Crop Protection for providing financial support to conduct this work.

Competing interests

The author(s) declare none.

Footnotes

Associate Editor: R. Joseph Wuerffel, Syngenta

References

Anonymous (2024) Tough 5 EC label. https://www.cdms.net/ldat/ld2AT000.pdf. Accessed: April 2, 2024Google Scholar
Beckie, HJ, Reboud, X (2009) Selecting for weed resistance: herbicide rotation and mixture. Weed Technol 23:363370 Google Scholar
Burton, N, Shirriff, SW, Beckie, HJ (2014) Response of glyphosate-resistant kochia (Kochia scoparia L. Schrad.) to alternative herbicides. Can J Plant Sci 94:14071411 Google Scholar
Butts, TR, Barber, LT, Norsworthy, JK, Davis, J (2021) Survey of ground and aerial herbicide application practices in Arkansas agronomic crops. Weed Technol 35:111 Google Scholar
Christoffoleti, PJ, Westra, PB, Moore, F (1997) Growth analysis of sulfonylurea-resistant and -susceptible kochia (Kochia scoparia). Weed Sci 45:691695 Google Scholar
Colby, SR (1967) Calculating synergistic and antagonistic responses of herbicide combinations. Weeds 15:2022 Google Scholar
Dhanda, S, Kumar, V, Geier, PW, Currie, RS, Dille, JA, Obour, A, Yeager, EA, Holman, J (2023) Synergistic interactions of 2, 4-D, dichlorprop-p, dicamba, and halauxifen/fluroxypyr for controlling multiple herbicide-resistant kochia (Bassia scoparia L.). Weed Technol 37:394401 Google Scholar
Dille, JA, Stahlman, PW, Du, J, Geier, PW, Riffel, JD, Currie, RS, Wilson, RG, Sbatella, GM, Westra, P, Kniss, AR, Moechnig, MJ (2017) Kochia (Kochia scoparia) emergence profiles and seed persistence across the central Great Plains. Weed Sci 65:614625 Google Scholar
Friesen, LF, Beckie, HJ, Warwick, SI, Van Acker, RC (2009) The biology of Canadian weeds. 138. Kochia scoparia (L.) Schrad. Can J Plant Sci 89:141167 Google Scholar
Friesen, LF, Mayert, TSH, Morrison, IN (1991) Control of Chlorsulfuron-Resistant Kochia in Spring Wheat (Roblin). Expert Committee on Weeds (West. Sect.) Res. Rep. 822 pGoogle Scholar
Friesen, LF, Morrison, IN, Rashid, A, Devine, MD (1993) Response of a chlorsulfuron-resistant biotype of Kochia scoparia to sulfonylurea and alternative herbicides. Weed Sci 41:100106 Google Scholar
Geddes, CM, Sharpe, SM (2022) Crop yield losses due to kochia (Bassia scoparia) interference. Crop Prot 157:105981 Google Scholar
Godar, AS, Stahlman, PW, Jugulam, M, Dille, JA (2015) Glyphosate-resistant kochia (Kochia scoparia) in Kansas: EPSPS gene copy number in relation to resistance levels. Weed Sci 63:587595 Google Scholar
Green, JM (1991) Maximizing herbicide efficiency with mixtures and expert systems. Weed Technol 5:894897 Google Scholar
Heap, I (2024) The International Herbicide-Resistant Weed Database. http://www.weedscience.org. Accessed: February 20, 2024Google Scholar
Kousta, A, Katsis, C, Tsekoura, A, Chachalis, D (2024) Effectiveness and selectivity of pre- and post-emergence herbicides for weed control in grain legumes. Plants 13:211 Google Scholar
Kumar, V, Currie, RS, Jha, P, Stahlman, PW (2019b) First report of kochia (Bassia scoparia) with cross-resistance to dicamba and fluroxypyr in western Kansas. Weed Technol 33:335341 Google Scholar
Kumar, V, Jha, P, Jugulam, M, Yadav, R, Stahlman, PW (2019a) Herbicide-resistant kochia (Bassia scoparia) in North America: a review. Weed Sci 67:415 Google Scholar
Kumar, V, Jha, P (2015a) Influence of herbicides applied postharvest in wheat stubble on control, fecundity, and progeny fitness of Kochia scoparia in the US Great Plains. Crop Prot 71:144149 Google Scholar
Kumar, V, Jha, P (2015b) Effective preemergence and postemergence herbicide programs for kochia control. Weed Technol 29:2434 Google Scholar
Kumar, V, Jha, P, Dille, JA, Stahlman, PW (2018) Emergence dynamics of kochia (Kochia scoparia) populations from the U.S. Great Plains: a multi-site-year study. Weed Sci 66:2535 Google Scholar
Kumar, V, Jha, P, Reichard, N (2014) Occurrence and characterization of kochia (Kochia scoparia) accessions with resistance to glyphosate in Montana. Weed Technol 28:122130 Google Scholar
Kumar, V, Liu, R, Currie, RS, Jha, P, Morran, S, Gaines, T, Stahlman, PW (2020) Cross-resistance to atrazine and metribuzin in multiple herbicide-resistant kochia accessions: confirmation, mechanism, and management. Weed Technol 35:539546.Google Scholar
Lancaster, SR, Fick, WH, Currie, RS, Kumar, V (2024a) 2022 Chemical Weed Control for Field Crops, Pastures, Rangeland, and Noncropland. Kansas State University Agricultural Experiment Station and Cooperative Extension Service. https://bookstore.ksre.ksu.edu Google Scholar
Lancaster, SR, Fick, WH, Currie, RS, Kumar, V (2024b) 2023 Chemical Weed Control for Field Crops, Pastures, Rangeland, and Noncropland. Kansas State University Agricultural Experiment Station and Cooperative Extension Service. https://bookstore.ksre.ksu.edu Google Scholar
Nandula, VK, Manthey, FA (2002) Response of kochia (Kochia scoparia) inbreds to 2,4-D and dicamba. Weed Technol 16:5054 Google Scholar
Norsworthy, JK, Ward, SM, Shaw, DR, Llewellyn, R, Nichols, RL, Webster, TM, Bradley, KW, Frisvold, G, Powles, SB, Burgos, NR, Witt, W, Barrett, M (2012) Reducing the risks of herbicide resistance: best management practices and recommendations. Weed Sci 60:3162 Google Scholar
Sbatella, GM, Adjesiwor, AT, Kniss, AR, Stahlman, PW, Westra, P, Moechnig, M, Wilson, RG (2019) Herbicide options for glyphosate-resistant kochia (Bassia scoparia) management in the Great Plains. Weed Technol 33:658663 Google Scholar
Seidel, JE, Russel, KW (1990) Pyridate––a new selective broad-leaved herbicide for post-emergence use in chickpeas. Pages 339342 in Proceedings of the 9th Australian Weeds Conference. Adelaide, South Australia: Crop Science Society of South Australia Inc.Google Scholar
Sharpe, SM, Leeson, JY, Geddes, CM, Willenborg, CJ, Beckie, HJ (2023) Survey of glyphosate- and dicamba-resistant kochia (Bassia scoparia) in Saskatchewan. Can J Plant Sci 22:472480 Google Scholar
Székács, A (2021) Herbicide mode of action. Pages 4186 in Mesnage, R, Zaller, JG, eds. Herbicides. Amsterdam: Elsevier Google Scholar
Tonks, DJ, Westra, P (1997) Control of sulfonylurea-resistant kochia (Kochia scoparia). Weed Technol 11:270276 Google Scholar
Torbiak, AT, Blackshaw, RE, Brandt, RN, Hamman, B, Geddes, CM (2021) Herbicide strategies for managing glyphosate-resistant and -susceptible kochia (Bassia scoparia) in spring wheat. Can J Plant Sci 101:607620 Google Scholar
Van Wychen, L (2022) 2022 Survey of the most common and troublesome weeds in broadleaf crops, fruits & vegetables in the United States and Canada. Weed Science Society of America National Weed Survey Dataset. https://wssa.net/wp-content/uploads/2022-Weed-Survey-Broadleaf-crops.xlsx Google Scholar
Westra, EP, Nissen, SJ, Getts, TJ, Westra, P, Gaines, TA (2019) Survey reveals frequency of multiple resistance to glyphosate and dicamba in kochia (Bassia scoparia). Weed Technol 33:664672 Google Scholar
Wicks, GA, Martin, AR, Haack, AE, Mahnken, GW (1994) Control of triazine-resistant kochia (Kochia scoparia) in sorghum (Sorghum bicolor). Weed Technol 8:748753 Google Scholar
Wicks, GA, Martin, AR, Mahnken, GW (1993) Control of triazine-resistant kochia (Kochia scoparia) in conservation tillage corn (Zea mays). Weed Sci 41:225231 Google Scholar
Figure 0

Table 1. List of herbicides alone or in mixtures with pyridate tested for controlling multiple herbicide classes–resistant kochia under greenhouse and field experiments.

Figure 1

Figure 1. Daily minimum and maximum air temperature (C) and precipitation (mm) during the growing season at Kansas State University Agricultural Research Center (KSU-ARC) near Hays, KS.

Figure 2

Figure 2. Daily minimum and maximum air temperature (C) and precipitation (mm) during the growing season at Kansas State University Southwest Research and Extension Center (KSU-SWREC) near Garden City, KS.

Figure 3

Table 2. Percent control at 14 and 28 d after treatment (DAT) and shoot dry-biomass reduction of multiple herbicide classes–resistant (MHCR)a and susceptible (SUS) kochia populations in the greenhouse experimentb,c.

Figure 4

Table 3. Average percent control at 14 and 28 d after treatment (DAT), density reduction, and shoot dry-biomass reduction of atrazine-, dicamba-, and glyphosate-resistant kochia in a field study during 2023 at Kansas State University Agricultural Research Center (KSU-ARC) near Hays, KSa–c.

Figure 5

Table 4. Average percent control at 14 and 28 d after treatment (DAT), density reduction, and shoot dry-biomass reduction of atrazine- and glyphosate-resistant kochia in a field study during 2023 at Kansas State University Southwest Research and Extension Center (KSU-SWREC) near Garden City, KSa–c.