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10 May 2022 Tolerance of four dry bean market classes to flufenacet, acetochlor, and S-metolachlor applied preplant incorporated
Hannah E. Symington, Nader Soltani, Allan C. Kaastra, David C. Hooker, Darren E. Robinson, Peter H. Sikkema
Author Affiliations +
Abstract

Common bean and azuki bean are poor competitors with weeds and demonstrate sensitivity to herbicides used for weed control in soybean. S-metolachlor, flufenacet, and acetochlor are categorized as Group 15 herbicides and provide control of multiple annual grass and select small-seeded broadleaf weeds. By way of field trials near Exeter and Ridgetown, Ontario, in 2019, 2020, and 2021, four dry bean market classes (azuki, kidney, small red, and white bean) were evaluated for their tolerance to 1× established label rates and 2× rates of S-metolachlor (1,600 and 3,200 g ai ha–1), flufenacet (750 and 1,500 g ai ha–1) and acetochlor (1,700 and 3,400 g ai ha–1) applied preplant incorporated (PPI). Injury was evaluated by assessing visible injury symptoms, density, shoot biomass, height, seed moisture content, and seed yield. Azuki bean was more sensitive to the Group 15 herbicides than other dry bean market classes; the Group 15 herbicides caused a 12% reduction in azuki bean growth at 2 wk after emergence; growth reduction was ≤2% in the other bean classes. Flufenacet (2× rate) was the most injurious treatment, causing a 27% reduction in azuki bean yield. This study concludes that kidney, small red, and white bean have a sufficient margin of crop safety to flufenacet, acetochlor, and S-metolachlor applied PPI. Azuki bean was sensitive to flufenacet; additional research is needed to investigate azuki bean tolerance to acetochlor and S-metolachlor applied PPI.

Nomenclature: Flufenacet; acetochlor; S-metolachlor; Azuki bean; Vigna angularis (Willd.) Ohwi & H. Ohashi; kidney bean; Phaseolus vulgaris L.; small red bean; Phaseolus vulgaris L; white bean; Phaseolus vulgaris L.; common bean; Phaseolus vulgaris L.; soybean; Glycine max (L.) Merr.

Introduction

Dry bean and azuki bean are important food crops. In 2020, the United States was the fourth largest producer of dry bean; the highest dry bean-producing states were North Dakota, Michigan, Minnesota, Nebraska, and Idaho (FAO 2021; Lucier and Davis 2020). Although production occurs on smaller hectarages in Canada, farm cash receipts from Canadian dry bean production totaled more than Can$315 million in 2020 (Government of Alberta 2021; Manitoba Agriculture 2021; OMAFRA 2021d). Ontario accounts for 38% of Canadian dry bean production with approximately 63,500 hectares seeded to dry bean in 2020 (OMAFRA FCT 2020). White (navy) bean accounts for 50% of Ontario dry bean production, the remaining hectares are seeded primarily with black, kidney, cranberry, and azuki bean market classes (OMAFRA FCT 2020; OMAFRA 2021a, 2021b). Dry bean demonstrates sensitivity to weeds, in part, resulting from its small stature (Ghamari and Ahmadvand 2012; Sikkema et al. 2007). A meta-analysis by Soltani et al. (2017a) concluded that 56% yield loss in Ontario dry bean would result when weeds are not controlled.

Although dry bean is sensitive to weed interference, far fewer herbicide options are available for weed management in Ontario dry beans relative to soybean. EPTC, dimethenamid-P, pendimethalin, S-metolachlor, and trifluralin are registered for soil application in Ontario and are used primarily for annual grass control; clethodim, fluazifop-p-butyl, quizalofop-p-ethyl, and sethoxydim are registered postemergence (POST) herbicides for grass weed control. For broadleaf weed control, halosulfuron and imazethapyr are the only two herbicides registered for soil application, and POST broadleaf herbicides in Ontario are limited to halosulfuron, fomesafen, and bentazon (OMAFRA 2021c). Dry beans are sensitive to many herbicides, which prevents the use of some herbicides that are used for soybean from being registered with dry bean crops (Cowan and Sikkema 2018; Shaner 2014).

Flufenacet is an oxyacetamide herbicide that belongs to the Group 15 herbicides (WSSA; Soltani et al. 2005). It is a very long-chain fatty acid elongases (VLCFAE) inhibitor. Absorption takes place through the roots and shoots of emerging weeds, providing control of many annual grass and select small-seeded broadleaf weeds (Gajbhiye and Gupta 2001; Johnson et al. 2012; Soltani et al. 2005). Flufenacet is registered for the control of green foxtail [Setaria viridis (L.) P. Beauv.], yellow foxtail [Setaria pumila (Poir.) Roem. & Schult.], giant foxtail (Setaria faberi Herrm.), witchgrass (Panicum capillare L.), barnyardgrass [Echinochloa crus-galli (L.) P. Beauv.], fall panicum (Panicum dichotomiflorum Michx.), proso millet (Panicum miliaceum L.), smooth crabgrass [Digitaria ischaemum (Schreb.) Schreb. ex Muhl.], large crabgrass [Digitaria sanguinalis (L.) Scop.], and yellow nutsedge (Cyperus esculentus L.). In addition, flufenacet is registered for the suppression of common lambsquarters (Chenopodium album L.), redroot pigweed (Amaranthus retroflexus L.), and Powell amaranth (Amaranthus powellii S. Wats.) (A Kaastra, Bayer Crop Science, personal communication, February 25, 2022).

Acetochlor is a WSSA Group 15 chloroacetanilide herbicide that is also a VLCFAE inhibitor (Shaner 2014). It is commonly used in U.S. corn, soybean, and cotton (Gossypium hirsutum L.) production but has not been registered for use in Canada (Cahoon et al. 2015; Murschell and Farmer 2019). Acetochlor provides effective control of broadleaf signalgrass [Urochloa platyphlla (Munro ex C. Wright) R. D. Webster], barnyardgrass, redroot pigweed, hairy nightshade (Solanum physalifolium Rusby), common lambsquarters, and Palmer amaranth (Amaranthus palmeri S. Watson; Cahoon et al. 2015; Jursik et al. 2013; Mueller and Steckel 2011). It exists as two different stand-alone formulations that include an emulsifiable concentrate (EC) and a micro-encapsulated (ME) product. The ME product, as used in this study, is a slow-release acetochlor via the use of a polymer coating that increases crop safety in certain crops (Cahoon et al. 2015; Fogleman et al. 2018). Although injury with ME acetochlor exceeds 20% in select nonregistered, sensitive crops such as pumpkin (Curcurbita pepo) and rice (Oryza sativa), less injury occurs than when the EC formulation is used (Ferebee et al. 2019; Fogleman et al. 2018).

S-metolachlor is a registered chloroacetanilide, WSSA Group 15 herbicide used for weed control in dry bean in Canada (Soltani et al. 2018). It primarily controls annual grasses with activity on select small-seeded annual broadleaf weeds (Osborne et al. 1995; Sikkema et al. 2009). Although visible dry bean injury has been documented with S-metolachlor; dry bean shoot biomass, height, density, seed moisture, and yield are rarely affected (Sikkema et al. 2009; Soltani et al. 2018).

Studies investigating the tolerance of dry bean to flufenacet and acetochlor applied preplant incorporated (PPI) have not been completed to our knowledge. Flufenacet and acetochlor have activity primarily on annual grasses, with select activity on small-seeded broadleaf weeds. Canadian dry bean growers would benefit from additional herbicide options for weed control, which may lead to improved weed control, lower yield losses from weeds, and increased net returns for producers, assuming that there is sufficient dry bean tolerance to these products, and registrations are permissible.

The research objective of this study was to evaluate azuki, kidney, small red, and white bean tolerance to PPI applications of three Group 15 herbicides (flufenacet, acetochlor, and S-metolachlor) at the 1× and 2× rates.

Materials and Methods

From 2019 to 2021, six field trials were conducted (two trials per year) in Ridgetown, ON, at the University of Guelph Ridgetown Campus, and near Exeter, ON, at the Huron Research Station. Soil characteristics for each site-year are summarized in Table 1. The cumulative rainfall received and the average daily temperature for 7 and 14 d following herbicide application at each site-year is listed in Table 2.

Table 1.

Soil characteristics for the six field trials.a

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Table 2.

Cumulative precipitation and average daily temperature during the six field trials conducted.a

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The experimental design used for the study was a split-plot with four replications. Herbicide treatment was the main plot factor and was arranged in a randomized complete block design. A nontreated control, flufenacet (750 and 1,500 g ai ha–1), acetochlor (1,700 and 3,400 g ai ha–1), and S-metolachlor (1,600 and 3,200 g ai ha–1) was included in each replicate. The rates used for S-metolachlor represent the manufacturer's recommended 1× label rate and 2× rate, while the rate structure for flufenacet and acetochlor were determined based on previously identified rate ranges. The 2× rates were included to imitate an application overlap in the field. Main plots differed slightly in size; plots measured 6 m wide by 8 m long in Ridgetown, ON, with plots being slightly longer in Exeter, ON, at 6 m wide by 10 m long. Subplot factor was dry bean market class, which included azuki, white, kidney, and small red beans represented by the cultivars ‘Erimo’, ‘T9905’, ‘Dynasty’, and ‘Viper’, respectively. Due to equipment limitations, dry bean was seeded in a continuous fashion and was not randomized within each main plot. Two rows of each market class were sown 4 cm deep in rows spaced 75 cm apart. Azuki, kidney, small red, and white bean were seeded at 230,000, 188,000, 207,000, and 254,000 seeds ha–1, respectively, in Exeter; and 232,900, 175,500, 232,900, and 232,900 seeds ha–1, respectively, in Ridgetown.

Site preparation began in the fall when sites were moldboard plowed. One pass of spring cultivation was conducted prior to herbicide application with an S-tine cultivator with rolling basket harrows. The entire experimental area was maintained weed-free with a cover spray of pendimethalin (1,000 g ai ha–1) + imazethapyr (37.5 g ai ha–1) applied preemergence (PRE). Fomesafen (240 g ai ha–1) was applied POST when needed in addition to hand hoeing as necessary. Herbicides were applied using a CO2-pressurized backpack sprayer that delivered 200 L ha–1 at 240 kPa with ultra-low drift 120-02 nozzles (ULD120-02; Hypro, Pentair Ltd., London, UK). Within 1 h of application, the herbicides were incorporated with an S-tine cultivator with rolling basket harrows. Two passes in opposite directions were used to incorporate the herbicides. All dry bean market classes emerged at similar times.

Visible dry bean injury assessments were completed at 1, 2, 4, and 8 wk after emergence (WAE) on a percent scale of 0 to 100 where 0% represented no injury and 100% indicated complete plant death. All injury symptoms that were present at a specific site-year were evaluated. Density and biomass assessments were completed at 3 WAE by counting and clipping bean plants in 1 m of row at the soil line; samples were placed in paper bags, kiln-dried at 60 C for 2 wk, and the biomass was recorded. Shoot dry weight per plant was determined by taking the weight of the biomass in 1 m of row and dividing it by the number of plants. Bean height measurements were taken at 6 WAE by averaging the height of 10 arbitrarily selected plants from both rows in each plot. Dry beans were straight-cut and threshed with a small-plot combine at harvest maturity; seed moisture content and seed yield weight were documented. Seed moisture content was adjusted to standard moistures of 13% for azuki bean and 18% for Phaseolus vulgaris classes prior to statistical analysis.

Data analysis was performed using SAS software v. 9.4 (SAS Institute Inc., Cary, NC) and the GLIMMIX procedure. Fixed effects included herbicide treatment, dry bean market class, and the interaction between herbicide treatment and dry bean market class, while environment (site-year combination), block nested within the environment, the interaction of dry bean market class, herbicide treatment, and environment, and the interaction of herbicide treatment by block nested within environment were the random effects. The F-test and Z-test were used to assess the significance of the fixed and random effects, respectively. Studentized residual plots were analyzed, the Shapiro-Wilk test statistic was verified, and a check for overdispersion was conducted to satisfy the assumptions of homogeneity and normality using the UNIVARIATE procedure. Injury assessments were transformed to normalize data using the arcsine square root transformation. Dry bean density, shoot biomass, height, seed moisture, and seed yield were analyzed as a percentage of the nontreated control to allow market classes to be compared. Dry bean density, shoot biomass, height, and seed yield were transformed using the square root function, while seed moisture content used a lognormal distribution. All transformed data were back-transformed to the original scale for the presentation of results. Comparisons between herbicide treatments were made using a Tukey-Kramer grouping test with a significance of P < 0.05.

Results and Discussion

Visible dry bean leaf deformation, growth reduction, stand reduction, chlorosis and necrosis, delayed emergence, and bleaching were evaluated at 1, 2, 4, and 8 WAE, though for clarity of discussion only, the prevalent symptoms of leaf deformation, growth reduction, stand reduction, and chlorosis and necrosis at 2 WAE are presented. Injury symptoms were evaluated only when present; not all symptoms were present at each site-year, thus explaining why not all injury symptoms were evaluated at all six site-years. Main effects are presented when there was no interaction between dry bean market class and herbicide treatment. Where a significant interaction was detected, simple effects are presented. No injury was observed from the PRE cover spray of pendimethalin (1,000 g ai ha–1) + imazethapyr (37.5 g ai ha–1). Some injury from the POST application of fomesafen did occur in Exeter in 2021, however, the timing of application allowed for recovery. Additionally, the remaining injury in the nontreated control was considered when injury assessments were performed.

Leaf Deformation

Visible leaf deformation was evaluated at all six site-years, and the main effects are presented (Table 3). Leaf deformation included cupped, crinkled, or curled leaves and leaves with a shortened midrib. The main effect of dry bean market class was significant at 2 WAE. Azuki bean was more sensitive to the Group 15 herbicides than the other dry bean market classes. The Group 15 herbicides caused 4% azuki bean leaf deformation, but there was no leaf deformation in kidney, small red, or white bean at 2 WAE. Leaf deformation decreased with time; the Group 15 herbicides caused 10%, 4%, 1%, and 0% azuki bean leaf deformation at 1, 2, 4, and 8 WAE, respectively (data not presented). At 1 WAE, Group 15 herbicides caused ≤4% injury, and ≤1% injury at 2, 4, and 8 WAE in kidney, small red, and white bean. Similarly, Soltani et al. (2018) reported that azuki bean was the most sensitive dry bean market class to other PPI Group 15 herbicides such as pethoxamid, S-metolachlor, dimethenamid-P, and pyroxasulfone.

Growth Reduction

Visible growth reduction was evaluated at all six site-years, and the main effects are presented (Table 3). The most sensitive dry bean market class to the Group 15 herbicides was azuki bean, with a 12% visible growth reduction at 2 WAE. Azuki bean growth reduction decreased with time, there was 8% and 3% growth reduction at 4 and 8 WAE, respectively (data not presented). At 2 WAE, Group 15 herbicides caused ≤2% visible growth reduction in kidney, small red, and white beans; there was no difference among P. vulgaris (L.) classes. There was no difference in dry bean growth reduction with acetochlor and S-metolachlor at the 1× and 2× rates; in contrast, the 2× rate of flufenacet caused greater dry bean growth reduction relative to the 1× rate. Sikkema et al. (2009) reported limited injury with S-metolachlor applied PPI at 2,746 g ai ha–1 in kidney, black, cranberry, and white bean; however, the rate was lower than the 2× rate of 3,200 g ai ha–1 used in this study. Additionally, very little injury with S-metolachlor at 1,600 and 3,200 g ai ha–1 was reported in pinto and azuki beans, though other studies have indicated that azuki bean is more sensitive to S-metolachlor (Li et al. 2016; Soltani et al. 2008a; 2017b).

Stand Reduction

Visible stand reduction was evaluated at five site-years. The simple effects are presented (Table 4) as an interaction was detected (Table 3). The Group 15 herbicides did not cause stand reductions in kidney, small red, or white bean at 2 WAE. Flufenacet (1× rate), acetochlor (1× and 2× rate), and S-metolachlor (1× rate) reduced azuki bean stand 1% to 3% at 2 WAE, whereas flufenacet (2× rate) and S-metolachlor (2× rate) caused a stand reduction of 18% and 5%, respectively. At the 1× rate, flufenacet, acetochlor, and S-metolachlor reduced azuki bean stand similarly. At the 2× rate, S-metolachlor caused a greater stand reduction than acetochlor; flufenacet (2× rate) reduced azuki bean stand by 18% at 2 WAE, which was greater than all other herbicide treatments evaluated. At 2 WAE, flufenacet (1× rate) caused a greater stand reduction in azuki bean than small red bean; stand reduction in kidney and white bean was intermediary and similar to that of the other dry bean market classes. There was a greater stand reduction in azuki bean than kidney, small red, and white bean with flufenacet (2× rate) and S-metolachlor (2× rate) at 2 WAE.

Table 3.

Mean values of main effects and their interaction.a,c,d

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Table 4.

Percent visible stand reduction.a,b

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Chlorosis and Necrosis

Visible chlorosis and necrosis were evaluated at four site-years, and the main effects are presented (Table 3). Neither main effect was significant at 2 WAE.

Density

Dry bean density was evaluated at all six site-years, and the main effects are presented (Table 5). The Group 15 herbicides reduced azuki bean density by 15%; there was no decrease in small red and white bean density. There was an increase in kidney bean density. Soltani et al. (2018) showed that of four dry bean classes, kidney bean density was reduced when treated with Group 15 herbicides, contrary to the findings in this study; however different Group 15 herbicides were used in this study. Herbicide treatment had no impact on plant density.

Shoot Biomass

Dry bean shoot biomass per meter was evaluated at all six site-years, and the main effects are presented (Table 5). The Group 15 herbicides reduced azuki and white bean shoot biomass per meter by 36% and 8%, respectively. Acetochlor and S-metolachlor (1× and 2× rates) applied PPI did not reduce dry bean shoot biomass per meter. Flufenacet applied PPI at the 1× and 2× rates reduced dry bean shoot biomass per meter by 15% and 29%, respectively. These results corroborate those presented by Stewart et al. (2010) when biomass reductions reached 50% in azuki bean treated with pyroxasulfone PPI (250 g ai ha–1); however, flufenacet caused azuki bean reductions in this study, as pyroxasulfone was not evaluated.

Dry bean shoot biomass per plant was evaluated at all six site-years, and the main effects are presented (Table 5). The Group 15 herbicides reduced azuki bean shoot biomass per plant by 28%, whereas kidney, small red, and white bean shoot biomass per plant was reduced by 5% to 11%. Dry beans treated with flufenacet (2× rate) applied PPI incurred a 29% shoot biomass per plant reduction. Dry beans treated with acetochlor (1× and 2× rate), S-metolachlor (1× and 2× rate), and flufenacet (1× rate) had shoot biomass per plant that was similar to that of the nontreated control.

Plant Height

Dry bean height was evaluated at all six site-years. The simple effects are presented (Table 6); there was a significant interaction (Table 5). Flufenacet, acetochlor, and S-metolachlor (1× and 2× rates) did not cause a decrease in kidney, small red, or white bean height. Acetochlor and S-metolachlor at the 1× rate did not reduce azuki bean height; flufenacet at the 1× rate reduced azuki bean height by 10%. Acetochlor, S-metolachlor, and flufenacet at the 2× rate reduced plant height of azuki bean by 12%, 16%, and 23%, respectively. Similarly, Soltani et al. (2018) concluded that relative to P. vulgaris market classes, azuki bean height was much lower when treated with Group 15 herbicides such as pethoxamid, S-metolachlor, dimethenamid-P, and pyroxasulfone at 1× and 2× rates.

Table 5.

Mean values of main effects of herbicides on dry beans as a percentage of the nontreated control and their interaction.a,b

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Table 6.

Height and yield of dry beans as a percentage of the nontreated control.a

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Seed Moisture Content

Higher seed moisture is an indication of a delay in maturity and is frequently associated with herbicide injury (Soltani et al. 2008b). Higher seed moisture content may increase drying costs and reduce dry bean quality, which may result in decreased net returns to the grower. Dry bean seed moisture content was recorded at all six site-years, and the main effects are presented (Table 5). Averaged over all herbicide treatments, white bean was the only dry bean market class that demonstrated an increase in seed moisture, and was greater by 3 percentage points. Flufenacet (1× rate), acetochlor (1× and 2× rates), and S-metolachlor (1× and 2× rates) applied PPI did not cause delayed maturity, indicated by seed moisture content that was similar to that of the nontreated control; in contrast, flufenacet (2× rate) caused an increase in seed moisture content by 4 percentage points relative to the nontreated control.

Yield

Dry bean yield was recorded at all six site-years. The simple effects are presented (Table 6) as there was a significant interaction (Table 5). Yield was calculated from the harvested area only where beans were present, and did not include the 1 m of row from where bean shoot biomass was retrieved. Herbicide treatment had no effect on kidney, small red, or white bean yield. Flufenacet (1× rate), acetochlor (1× and 2× rates), and S-metolachlor (1× and 2× rates) applied PPI did not reduce azuki bean yield; in contrast, flufenacet (2× rate) decreased azuki bean yield by 27%. Similarly, Soltani et al. (2020) reported no azuki bean yield reduction from the use of S-metolachlor at 1,200 g ai ha–1 applied PPI. A numerical drop in yield from 2,722 to 2,540 kg ha–1 occurred when S-metolachlor was applied at 3,200 vs. 1,600 g ai ha–1 (Soltani et al. 2018). Azuki bean was more sensitive than kidney, small red, or white bean to flufenacet (2× rate) and S-metolachlor (2× rate). Kidney bean was most tolerant to acetochlor (2× rate) applied PPI.

In conclusion, kidney, small red, and white bean are tolerant to flufenacet, acetochlor, and S-metolachlor at both the 1× and 2× rates when applied PPI. The Group 15 herbicides caused little to no visible symptomology on the P. vulgaris L. dry bean market classes, and there were negligible differences in density, height, and yield. For some parameters, the Group 15 herbicides caused a low-level response in white bean with no decrease in yield. In contrast, azuki bean was sensitive to the Group 15 herbicides applied PPI. Generally, azuki bean was more sensitive to flufenacet than acetochlor and S-metolachlor, and there was greater azuki bean injury with flufenacet at the 2× rate relative to the 1× rate. Visible leaf deformation and growth reduction were the most prevalent visible injury symptoms across all dry bean market classes.

This research concludes that there is a sufficient margin of crop safety to support the registration of flufenacet and a capsule suspension formulation of acetochlor applied PPI for weed management in P. vulgaris classes, similar to the current registration of S-metolachlor. Further studies are needed to determine whether a sufficient margin of crop safety exists in azuki bean to support the use of acetochlor in dry bean. In addition, the results indicate that a sufficient margin of crop safety does not exist in azuki bean to support the use of flufenacet applied PPI.

Acknowledgments.

We thank Dr. Michelle Edwards for statistical support; the University of Guelph, Ridgetown Campus summer staff for their field support; Bayer Crop Science Inc.; Ontario Bean Growers (OBG); and the Ontario Agri-Food Innovation Alliance for funding to conduct this research. Co-author Allan Kaastra is the Senior Agronomic Development Representative, Bayer Crop Science Inc. Other authors have no conflict of interest to declare.

References

1.

Cahoon CW, York AC, Jordan DL, Everman WJ, Seagroves RW, Braswell LR, Jennings KM (2015) Weed control in cotton by combinations of microencapsulated acetochlor and various residual herbicides applied preemergence. Weed Technol 29:740–750 Google Scholar

2.

Cowan T, Sikkema PH (2018) Dry common bean tolerance to pre-plant herbicides for the control of glyphosate-resistant Canada fleabane. Dry Bean Agronomy.  https://drybeanagronomy.ca/dry-common-bean-toleranceto-pre-plant-herbicides-for-the-control-of-glyphosate-resistant-canada-fleabane/. Accessed: December 20, 2021 Google Scholar

3.

Ferebee JH, Cahoon CW, Besancon TE, Flessner ML, Langston DB, Hines TE, Blake HB, Askew MC (2019) Fluridone and acetochlor cause unacceptable injury to pumpkin. Weed Technol 33:748–756 Google Scholar

4.

Fogleman M, Norsworthy JK, Barber T, Gbur E (2018) Influence of formulation and rate on rice tolerance to early-season applications of acetochlor. Weed Technol 33:239–245 Google Scholar

5.

[FAO] Food and Agriculture Organization of the United Nations (2021) World dry bean production.  https://www.fao.org/faostat/en/#search/dry%20bean. Accessed: January 25, 2022 Google Scholar

6.

Gajbhiye VT, Gupta S (2001) Adsorption-desorption behaviour of flufenacet in five different soils of India. Pest Manag Sci 57:633–639 Google Scholar

7.

Ghamari H, Ahmadvand G (2012) Weed interference affects dry bean yield and growth. Not Sci Biol 4:70–75 Google Scholar

9.

Johnson WG, Chahal GS, Regehr DL (2012) Efficacy of various corn herbicides applied preplant incorporated and preemergence. Weed Technol 26: 220–229 Google Scholar

10.

Jursik M, Kocarek M, Hamouzova K, Soukup J, Venclova V (2013) Effect of precipitation on the dissipation, efficacy and selectivity of three chloroacetamide herbicides in sunflower. Plant Soil Environ 59:175–182 Google Scholar

11.

Li Z, Kessler KC, Figueiredo MR, Nissen SJ, Gaines TA, Westra P, Van Acker RC, Hall C, Robinson DE, Soltani N, Sikkema PH (2016) Halosulfuron absorption, translocation, and metabolism in white and adzuki bean. Weed Sci 64:705–711 Google Scholar

12.

Lucier G, Davis W (2020) Situation and Outlook Report. Vegetables and pulses outlook VGS-365. Washington: U.S. Department of Agriculture–Economic Research Service.  https://www.ers.usda.gov/webdocs/outlooks/100102/vgs365.pdf?v=1914.9. Accessed: April 12, 2022 Google Scholar

13.

Manitoba Agriculture (2021) Manitoba farm cash receipts.  https://www.gov.mb.ca/agriculture/markets-and-statistics/financial-statistics/pubs/farm-cashreceipts-2021.pdf. Accessed: January 24, 2022 Google Scholar

14.

Mueller TC, Steckel LE (2011) Efficacy and dissipation of pyroxasulfone and three chloroacetamides in a Tennessee field soil. Weed Sci 59:574–579 Google Scholar

15.

Murschell T, Farmer DK (2019) Atmospheric OH oxidation chemistry of trifluralin and acetochlor. Environ Sci Process Impacts 21:650–658 Google Scholar

16.

[OMAFRA] Ontario Ministry of Agriculture, Food and Rural Affairs (2021a) Dry white beans: Area and production, by county, 2004-2020.  http://www.omafra.gov.on.ca/english/stats/crops/ctywbeans2004_20.xlsx. Accessed: December 20, 2021 Google Scholar

17.

[OMAFRA] Ontario Ministry of Agriculture, Food and Rural Affairs (2021b) Coloured beans: Area and production, by county, 2005-2020.  http://www.omafra.gov.on.ca/english/stats/crops/ctycbeans2005_20.xlsx. Accessed: December 20, 2021 Google Scholar

18.

[OMAFRA] Ontario Ministry of Agriculture, Food and Rural Affairs (2021c) Publication 75A guide to weed control: Field crops.  http://www.omafra.gov.on.ca/english/crops/pub75/pub75A/pub75A.pdf. Accessed: December 20, 2021 Google Scholar

19.

[OMAFRA] Ontario Ministry of Agriculture, Food and Rural Affairs (2021d) Farm cash receipts by county and crop, Ontario: 2011-2020.  http://www.omafra.gov.on.ca/english/stats/finance/index.html. Accessed: January 24, 2022 Google Scholar

20.

[OMAFRA FCT] Ontario Ministry of Agriculture, Food and Rural Affairs Field Crop Team (2020) 2020 Dry edible bean seasonal summary. Field Crop News.  https://fieldcropnews.com/2020/11/2020-dry-edible-bean-seasonalsummary/. Accessed: December 20, 2021 Google Scholar

21.

Osborne BT, Shaw DR, Ratliff RL (1995) Soybean (Glycine max) cultivar tolerance to SAN 582H and metolachlor as influenced by soil moisture. Weed Sci 43:288–292 Google Scholar

22.

Shaner DL (2014) Herbicide Handbook. 10th Edition. Lawrence, KS: Weed Science Society of America 513 p Google Scholar

23.

Sikkema PH, Shropshire C, Soltani N (2009) Response of dry bean to pre-plant incorporated and pre-emergence applications of S-metolachlor and fomesafen. Crop Prot 28:744–748 Google Scholar

24.

Sikkema PH, Vyn RJ, Shropshire C, Soltani N (2007) Integrated weed management in white bean production. Can J Plant Sci 88:555–561 Google Scholar

25.

Soltani N, Brown L, Sikkema PH (2020) Weed management in azuki bean with preplant incorporated herbicides. Legume Sci  https://doi.org/10.1002/leg3.66 Google Scholar

26.

Soltani N, Deen B, Bowley S, Sikkema PH (2005). Effects of pre-emergence applications of flufenacet plus metribuzin on weeds and soybean (Glycine max). Crop Prot 24:507–511 Google Scholar

27.

Soltani N, Dille AJ, Gulden RH, Sprague CL, Zollinger RK, Morishita DW, Lawrence NC, Sbatella GM, Kniss AR, Jha P, Sikkema PH (2017a) Potential yield loss in dry bean crops due to weeds in the United States and Canada. Weed Technol 32:342–346 Google Scholar

28.

Soltani N, Nurse RE, Robinson DE, Sikkema PH (2008a) Response of pinto and small red Mexican beans (Phaseolus vulgaris L.) to preplant-incorporated herbicides. Weed Biol Manag 8:25–30 Google Scholar

29.

Soltani N, Nurse RE, Robinson DE, Sikkema PH (2008b) Response of pinto and small red Mexican bean to postemergence herbicides. Weed Technol 22:195–199 Google Scholar

30.

Soltani N, Shropshire C, Robinson DE, Sikkema PH (2017b) Sensitivity of adzuki bean (Vigna angularis) to preplant-incorporated herbicides. Weed Technol 19:897–901 Google Scholar

31.

Soltani N, Shropshire C, Sikkema PH (2018) Response of dry bean to group 15 herbicides applied preplant incorporated. Can J Plant Sci 98: 1168–1175 Google Scholar

32.

Stewart CL, Nurse RE, Gillard C, Sikkema PH (2010) Tolerance of adzuki bean to preplant-incorporated, pre-emergence, and post-emergence herbicides in Ontario, Canada. Weed Biol Manag 10:40–47 Google Scholar
© The Author(s), 2022. Published by Cambridge University Press on behalf of the Weed Science Society of America.
Hannah E. Symington, Nader Soltani, Allan C. Kaastra, David C. Hooker, Darren E. Robinson, and Peter H. Sikkema "Tolerance of four dry bean market classes to flufenacet, acetochlor, and S-metolachlor applied preplant incorporated," Weed Technology 36(3), 419-425, (10 May 2022). https://doi.org/10.1017/wet.2022.37
Received: 3 March 2022; Accepted: 4 May 2022; Published: 10 May 2022
KEYWORDS
chlorosis
growth reduction
leaf deformation
Necrosis
plant height
stand
yield
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