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Multi-tactic strategies to manage herbicide-resistant waterhemp (Amaranthus tuberculatus) in corn–soybean rotations of the U.S. Midwest

Published online by Cambridge University Press:  03 March 2023

Ramawatar Yadav*
Affiliation:
Graduate Research Assistant, Iowa State University, Department of Agronomy, Ames, IA, USA
Prashant Jha
Affiliation:
Professor and Extension Weed Specialist, Iowa State University, Department of Agronomy, Ames, IA, USA
Robert Hartzler
Affiliation:
Professor (Emeritus), Iowa State University, Department of Agronomy, Ames, IA, USA
Matt Liebman
Affiliation:
Professor (Emeritus), Iowa State University, Department of Agronomy, Ames, IA, USA
*
Author for correspondence: Ramawatar Yadav, Iowa State University, Agronomy Hall, Ames, IA 50011. (Email: [email protected])
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Abstract

Field experiments were conducted over 2 yr (2019 to 2020) at two locations in Iowa to evaluate multi-tactic strategies for managing multiple herbicide–resistant (MHR) waterhemp [Amaranthus tuberculatus (Moq.) Sauer] in a corn (Zea mays L.)–soybean [Glycine max (L.) Merr.] rotation. The effect of three herbicide programs on A. tuberculatus control was tested in corn (2019). The effects of the prior year’s corn weed control, a cereal rye (Secale cereale L.) cover crop, and soybean row spacing (38-cm vs. 76-cm wide) on A. tuberculatus density, biomass, and seed production were tested in soybean (2020). A herbicide program used in corn with two sites of action provided only 35% control of MHR A. tuberculatus compared with ≥97% control by a herbicide program with three sites of action. In soybean, adequate control of A. tuberculatus (≥90%) in the prior year’s corn crop and use of a cover crop or narrow rows reduced A. tuberculatus density by more than 60% at 3 and 9 wk after planting (WAP) compared with inadequate control (30%) in the prior year’s corn and no cover crop. Cover crop and narrow-row soybean reduced A. tuberculatus density by 44% at 3 WAP compared with no cover crop and wide-row soybean. Inclusion of a single control tactic, adequate control (≥90%) with multiple herbicides in the prior year’s corn, use of a cover crop, or narrow-row soybean reduced A. tuberculatus biomass and seed production at soybean harvest by at least 24% compared with inadequate control (30%) in the prior year’s corn, no cover crop, and wide-row soybean. The combination of all three control tactics reduced A. tuberculatus biomass and seed production at soybean harvest by at least 80%. In conclusion, diverse control tactics targeting A. tuberculatus at multiple life-cycle stages can make substantial contributions to the management of MHR populations.

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 (http://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), 2023. Published by Cambridge University Press on behalf of the Weed Science Society of America

Introduction

Waterhemp [Amaranthus tuberculatus (Moq.) Sauer] is a summer annual broadleaf weed species native to the midwestern United States (Pammel Reference Pammel1913; Waselkov and Olsen Reference Waselkov and Olsen2014). It is one of the most common and troublesome weeds in corn (Zea mays L.) and soybean [Glycine max (L.) Merr.] (Van Wychen Reference Van Wychen2017, Reference Van Wychen2019) cropping systems. The key characteristics that make A. tuberculatus troublesome in crops include an extended emergence period (Hartzler et al. Reference Hartzler, Buhler and Stoltenberg1999), high growth rate (Horak and Loughin Reference Horak and Loughin2000), phenotypic plasticity (Wu and Owen Reference Wu and Owen2014), dioecy (Costea et al. Reference Costea, Weaver and Tardif2005), and high fecundity (Hartzler et al. Reference Hartzler, Battles and Nordby2004). It is very well adapted to no-till cropping systems and can reduce corn and soybean grain yields by more than 40% (Hager et al. Reference Hager, Wax, Stoller and Bollero2002; Steckel and Sprague Reference Steckel and Sprague2004).

Amaranthus tuberculatus has developed resistance to herbicides from seven site of action groups, including synthetic auxins, and inhibitors of 5-enolpyruvylshikimate-3-phosphate synthase (glyphosate), acetolactate synthase (ALS), photosystem II, protoporphyrinogen oxidase, 4-hydroxyphenylpyruvate dioxygenase, and very-long-chain fatty-acid synthesis (Tranel Reference Tranel2021). Additionally, widespread occurrence of multiple herbicide–resistant (MHR) A. tuberculatus populations across the midwestern U.S. states (Heap Reference Heap2022) has seriously limited soybean growers’ ability to use postemergence herbicides for weed control (Sarangi et al. Reference Sarangi, Stephens, Barker, Patterson, Gaines and Jhala2019). Because A. tuberculatus has a high propensity to evolve resistance against any single control tactic (Tranel Reference Tranel2021), herbicide rotation, a commonly recommended strategy to combat herbicide resistance, will not work for this species (Wu et al. Reference Wu, Davis and Tranel2018). Therefore, ecologically based, multi-tactic strategies are needed for a sustainable management of A. tuberculatus.

Cover crops have been beneficial in preventing soil erosion by providing surface residue (Mohler and Teasdale Reference Mohler and Teasdale1993), trapping residual nitrate that otherwise would leach out in drainage water (Kaspar et al. Reference Kaspar, Jaynes, Parkin, Moorman and Singer2012), improving soil organic matter and physical properties (Moore et al. Reference Moore, Wiedenhoeft, Kaspar and Cambardella2014), and suppressing weeds (Teasdale et al. Reference Teasdale, Brandsaeter, Calegari and Neto2007). Cereal rye (Secale cereale L.) is the most widely used cover crop in the U.S. Midwest due to its winter hardiness, ease of establishment, and high biomass accumulation (Snapp and Surapur Reference Snapp and Surapur2018; Teasdale Reference Teasdale1996). Cereal rye suppresses weeds primarily through physically impeding emergence and growth (Teasdale and Mohler Reference Teasdale and Mohler1993) and also by inhibiting seed germination through release of allelochemicals (Teasdale et al. Reference Teasdale, Rice, Cai and Mangum2012). The level of weed suppression gained by use of a cereal rye cover crop has been shown to be directly correlated with cover crop biomass at the time of termination and weed emergence patterns (Mirsky et al. Reference Mirsky, Curran, Mortensen, Ryan and Shumway2011, Reference Mirsky, Ryan, Teasdale, Curran, Reberg-Horton, Spargo, Wells, Keene and Moyer2013). Cornelius and Bradley (Reference Cornelius and Bradley2017) reported that a cereal rye cover crop reduced A. tuberculatus emergence by more than 35% when terminated 2 wk before soybean planting.

Crop competitiveness is an important factor in determining the outcomes of crop–weed interference and can be improved by reducing the row spacing. Reducing soybean row spacing helps the crop in achieving canopy closure faster with greater light interception (Board et al. Reference Board, Kamal and Harville1992; Steckel and Sprague Reference Steckel and Sprague2004). This crop-induced shading can reduce weed dry matter accumulation (McLachlan et al. Reference McLachlan, Tollenaar, Swanton and Weise1993), thereby improving the efficacy of other weed control tactics. Biomass and density of late-emerging A. tuberculatus plants were reduced by more than 40% in 19-cm-wide rows of soybean compared with 76-cm-wide rows (Steckel and Sprague Reference Steckel and Sprague2004). Young et al. (Reference Young, Young, Gonzini, Hart, Wax and Kapusta2001) reported improvement in weed control by reducing soybean row spacing. Postemergence application of glyphosate at 630 g ha−1 provided more than 90% control of A. tuberculatus in 19-cm-wide rows compared with less than 90% control in 76-cm-wide rows. Narrow-row soybean also can delay the critical time for weed removal (CTWR). CTWR occurred at the third-trifoliate stage of soybean in 19-cm-wide rows compared with the first-trifoliate stage in 76-cm wide rows (Knezevic et al. Reference Knezevic, Evans and Mainz2003). In addition, narrow-row soybean can produce higher grain yields than wide-row soybean due to increased duration of light interception and total dry matter accumulation (Board et al. Reference Board, Harville and Saxton1990).

These nonchemical control tactics are not likely to provide an acceptable level of A. tuberculatus control when used alone. Moreover, due to a high level of genetic diversity among populations (Waselkov and Olsen Reference Waselkov and Olsen2014), this weed species can rapidly evolve resistance to any single control tactic if it is heavily relied on. However, the cumulative effect of using a cover crop and narrow rows may be higher than the individual effect, thereby delaying resistance evolution (Anderson Reference Anderson2003; Liebman and Gallandt Reference Liebman, Gallandt and Jackson1997). In addition, efficacy of these nonchemical tactics in a year/crop will most likely be influenced by the efficacy of weed control method used in the prior year/crop. Several researchers have reported improved efficacy of chemical or mechanical tactics in fields with a low compared with a high initial weed density (Buhler et al. Reference Buhler, Gunsolus and Ralston1992; Dieleman et al. Reference Dieleman, Mortensen and Martin1999; Hartzler and Roth Reference Hartzler and Roth1993; Khedir and Roeth Reference Khedir and Roeth1981; Winkle et al. Reference Winkle, Leavitt and Burnside1981). For example, a premix of metolachlor and atrazine provided 95% control of giant foxtail (Setaria faberi Hermm.) in plots that had 100% control in the prior year compared with 75% control in plots that had 70% control in the prior year (Hartzler and Roth Reference Hartzler and Roth1993). This highlights the importance of effectively managing weed seedbanks to prevent future infestations and improve the efficacy of weed control tactics in subsequent years.

Despite the ecological significance of initial weed seedbank population densities on the success of weed control practices (Buhler Reference Buhler1999a, 1999b; Mirsky et al. Reference Mirsky, Ryan, Teasdale, Curran, Reberg-Horton, Spargo, Wells, Keene and Moyer2013), there are currently limited published field studies that have quantified the effect of the prior year’s weed control programs on the efficacy of managing A. tuberculatus in the subsequent year. Information on the interaction of cereal rye cover crop and soybean row spacing on control of A. tuberculatus is also lacking. Therefore, the objective of this research was to determine the impact of a prior year’s corn weed control, cereal rye cover crop, and soybean row spacing on A. tuberculatus density, biomass, and seed production in the subsequent soybean crop.

Materials and Methods

Experimental Site

Field experiments were conducted during 2019 and 2020 at two sites: the Iowa State University Curtiss Farm in Ames, IA (42.005°N, 93.671°W) and the university’s Bruner Farm in Boone, IA (42.010°N, 93.736°W). The soil at the Ames site was a mixture of Canisteo (fine-loamy, mixed, superactive, calcareous, mesic Typic Endoaquolls) and Clarion sandy clay loam (fine-loamy, mixed, superactive, mesic Typic Hapludolls) with 4.4% organic matter and a pH of 7.4. The soil at the Bruner site was a mixture of Nicollet loam (fine-loamy, mixed, superactive, mesic Aquic Hapludolls) and Canisteo silty clay loam with 4.0% organic matter and a pH of 6.9. Fields at both sites had been under a corn (2017)–soybean (2018) rotation in the previous 2 yr. Experimental sites had a known infestation of MHR A. tuberculatus that was resistant to ALS inhibitors and glyphosate. Records of average air temperatures and total precipitation during 2019 and 2020 growing seasons are summarized in Table 1.

Table 1. Average air temperatures and total precipitation during 2019 and 2020 growing seasons at the Iowa State University Research Farms near Ames, IA, and Boone, IA. a

a Temperature and precipitation data were obtained online from the Iowa State University’s Iowa Environmental Mesonet website: https://mesonet.agron.iastate.edu/agweather.

Experimental Design

This study was conducted over 2 yr, with corn grown in 2019 and soybean in 2020 at each of the two sites. A randomized strip-strip-plot design (Figure 1) was used with four replications at each site. The study design included 12 treatments resulting from three factors. The first factor consisted of three levels of A. tuberculatus control (30%, 90%, and 100%) in corn. Three different herbicide programs were used to achieve the three levels of A. tuberculatus control. The second factor consisted of use of a cereal rye cover crop established following corn harvest versus no cover crop. The third factor consisted of wide-row (76-cm) versus narrow-row (38-cm) soybean spacing. The first factor was assigned to the main strips (9.1-m wide by 30.5-m long). The second factor was assigned to the substrips (9.1-m wide by 15.2-m long) across the main strips, while the third factor was assigned to the sub-substrips (4.6-m wide by 15.2-m long) along the main strips. In addition, 1.5- and 12-m-wide alleyways between main strips and replications, respectively, were maintained to allow field operations.

Figure 1. Plot layout of the field experiments conducted over 2 yr (2019 to 2020) in a corn–soybean rotation at the Iowa State University Research Farms near Ames, IA, and Boone, IA.

Field Operations

Fields were tilled with a chisel plow before initiation of experiments in spring 2019. At Ames, a glyphosate- and glufosinate-resistant corn (PO589AM, Pioneer®, Johnston, IA 50131) was planted on June 3, 2019. At Boone, a glyphosate- and glufosinate-resistant corn (PO157AM, Pioneer®) was planted on June 4, 2019. Corn was planted in 76-cm-wide rows at 79,074 seeds ha−1 using a John Deere 7100 MaxEmerge™ planter (John Deere, Moline, IL 61265). The 30% control level of the main strip was achieved by applying a preemergence herbicide with one site of action followed by (fb) a postemergence herbicide (Table 2). The 90% control level was achieved by applying preemergence herbicides with two sites of action fb postemergence herbicides with two sites of action (Table 2). All preemergence herbicides were applied on the day of corn planting using an ATV-mounted CO2-pressurized boom sprayer equipped with Turbo TeeJet® Induction nozzles (TTI 110015VS, Spraying Systems, Wheaton, IL 60187). The sprayer was calibrated to deliver 140 L ha−1 at 241 kPa. All postemergence herbicides were applied at the V5 to V6 growth stage of corn using a tractor-mounted compressed-air boom sprayer equipped with TT 11002VS nozzles. The sprayer was calibrated to deliver 187 L ha−1 at 207 kPa.

Table 2. Herbicide programs for Amaranthus tuberculatus control in corn (corn–soybean rotation) in 2019 at the Iowa State University Research Farms near Ames, IA, and Boone, IA. a

a Abbreviations: fb, followed by; POST, postemergence; PRE, preemergence.

b PRE herbicides were applied at corn planting. POST herbicides were applied at V5 to V6 growth stage of corn.

c The 90% control represents late-season weed seed inputs by the survivors/escapes. This was achieved by manually spreading A. tuberculatus seeds (equivalent to 10% of the seeds produced in the 30% control strip) uniformly in the plots at the time of corn harvest.

In current herbicide-led crop production practices of the U.S. Midwest, it is rare to achieve 100% control of weed populations on a large scale. Therefore, the 100% control level of the main strip factor was designed based on the assumption that any seedbank inputs from late-season weed escapes in the 90% control strips in corn would be prevented by hand weeding. Although there were some escapes in the 90% control strips, they did not produce any seed (Table 3). Therefore, the 100% control level (no seed input) was achieved without hand weeding. However, to create a weed escape scenario, about 9,000 seeds m−2 (equivalent to 10% of the seeds produced in the 30% control strip) were harvested from A. tuberculatus plants growing in an adjacent nonexperimental area and spread uniformly in the 90% control strip at the time of corn harvest.

Table 3. Amaranthus tuberculatus visible control, density, biomass, and seed production with different herbicide programs in corn (corn–soybean rotation) in 2019 at the Iowa State University Research Farms near Ames, IA, and Boone, IA. a

a Abbreviations: fb, followed by; POST, postemergence; PRE, preemergence; WAPOST, weeks after POST; WAPRE, weeks after PRE.

b PRE herbicides were applied at corn planting. POST herbicides were applied at V5 to V6 growth stage of corn.

c Treatment means within a column with same letter are not significantly different (Tukey test, α = 0.05).

Corn was harvested on October 7, 2019, at Ames and October 9, 2019, at Boone using a plot combine (John Deere 9450). A cereal rye cover crop (‘Elbon’) was drill seeded on October 17, 2019, at both sites in substrips across the main strips. Cereal rye was seeded into corn stubble with a no-till drill (Marliss Industries, Jonesboro, AR 72401) in 19-cm-wide rows at 67 kg ha−1. The following spring, a glyphosate-, glufosinate-, and 2,4-D-resistant soybean (S20-E3, NK® Seeds, Syngenta, Greensboro, NC 27419) was planted on May 22, 2020, at both sites. Soybean was planted in standing cereal rye (“planting green”) in 38- and 76-cm-wide rows at 322,470 seeds ha−1 using a John Deere 7100 MaxEmerge™ planter. Soybean in 38- and 76-cm-wide rows was planted in sub-substrips along the main strips. On the same day, a broadcast application of glyphosate (1,261 g ae ha−1) plus S-metolachlor (1,788 g ai ha−1) was applied across the entire experimental area (including the no cover crop strips) to terminate the cereal rye (at the anthesis growth stage) and to provide early-season weed control. The herbicides were applied using a tractor-mounted compressed-air boom sprayer equipped with TT 11002VS nozzles and calibrated to deliver 187 L ha−1 at 207 kPa. No other herbicide application was made to the strips.

Soybean from each sub-substrip in the 30% and 90% control strips was harvested on October 1, 2020, using a plot combine. Soybean from the 100% control strips was harvested with a commercial combine (John Deere S680) at the substrip level for a different set of objectives (not included in this study). Therefore, data on soybean grain yield from 100% control strips are not included in this study.

Data Collection

The effect of corn herbicide programs on A. tuberculatus in 2019 was assessed by measuring percent visible control, plant density, and seed production. Percent visible control was assessed on a scale of 0 to 100 (where, 0 means no control; 100 means complete control) at 4 wk after preemergence (WAPRE) and 2 wk after postemergence (WAPOST) herbicide applications. Plant density was counted from four 1-m2 quadrats per main strip at 4 WAPRE, 2 WAPOST, and 9 WAPOST. No new seedling emergence occurred after 9 WAPOST. Amaranthus tuberculatus seed production was quantified by harvesting female plants from four 1-m2 quadrats in each main strip at the time of corn harvest. Harvested plants were placed in DelNet pollination bags (DelStar Technologies, Middletown, DE 19709) and air-dried for 1 wk. Seeds were threshed by rubbing the inflorescences between the hands and then cleaned with handheld sieves and a seed blower (Seedburo® Equipment, Des Plaines, IL 60018). An average seed weight was determined by weighing four subsamples of 1,000 seeds. Then, seeds per square meter were calculated by dividing the total sample weight by the average seed weight. Seed samples were then returned to the sampling quadrats in the field before cereal rye cover crop planting.

The cereal rye cover crop growth was assessed in the spring of 2020 by measuring plant height of 10 randomly selected plants and collecting aboveground biomass in two linear 1-m rows from each main strip on the day of termination. Biomass samples from each strip were combined, oven-dried at 60 C for 5 d, and weighed. The effect of the cereal rye cover crop on soybean emergence was assessed by counting the number of plants in four linear 1-m rows from each sub-substrip at 3 wk after planting (WAP). The effects of the prior year’s corn weed control, cereal rye, and soybean row spacing on A. tuberculatus growth and development were assessed by measuring plant density, aboveground biomass, and seed production in soybean (2020) at each study site. Amaranthus tuberculatus density was counted from two 0.25-m2 quadrats in each sub-substrip at 3 and 9 WAP. Aboveground weed biomass was collected from two 0.25-m2 quadrats at the time of soybean canopy closure and at harvest. Biomass samples from each sub-substrip were combined, oven-dried at 60 C for 5 d, and weighed. Seed production of A. tuberculatus in each sub-substrip in soybean was quantified using a process similar to that described earlier for corn, except two 0.25-m2 quadrats were harvested instead of four 1-m2 quadrats. Soybean grain yields from each sub-substrip in 30% and 90% control strips were recorded and adjusted to 13% moisture content.

Statistical Analysis

Normality of residuals and homogeneity of variance were assessed using a Shapiro-Wilk test and Levene’s test, respectively, and diagnostic residual plots (Kozak and Piepho Reference Kozak and Piepho2018). Amaranthus tuberculatus percent control, density, seed production, aboveground biomass, cereal rye plant height and aboveground biomass, and soybean grain yield were analyzed using PROC MIXED in SAS v. 9.4 software (SAS Institute, Cary, NC 27513). For all response variables, experimental site and replication were considered random effects, whereas prior year’s weed control, cover crop, soybean row spacing, and their interactions were considered fixed effects in the model. Appropriate degrees of freedom in the model were obtained by the Satterthwaite approximation method (Satterthwaite Reference Satterthwaite1946). Estimated means were compared using the Tukey test at a significance level of α = 0.05.

Results and Discussion

Site by treatment interactions for the response variables were not significant; therefore, data from both sites were pooled. Monthly mean air temperatures during 2019 (corn) and 2020 (soybean) growing seasons at both sites were close to the historical monthly means (Table 1). Cumulative precipitation during the typical emergence period of A. tuberculatus (May to July; Hartzler et al. Reference Hartzler, Buhler and Stoltenberg1999) in 2019 was close to the historical means of this period. In contrast, cumulative precipitation during the typical emergence period of A. tuberculatus in 2020 was 39% lower compared with the historical means of this period (Table 1).

Average plant height and aboveground dry biomass of cereal rye across the treatments ranged from 97 to 99 cm and 5,080 to 5,440 kg ha−1, respectively. The amounts of biomass accumulated in the study were within the range of cereal rye cover crop biomass required to achieve consistent weed suppression (Bunchek et al. Reference Bunchek, Wallace, Curran, Mortensen, VanGessel and Scott2020; Mirsky et al. Reference Mirsky, Ryan, Curran, Teasdale, Maul, Spargo, Moyer, Grantham, Weber, Way and Camargo2012; Wallace et al. Reference Wallace, Keene, Curran, Mirsky, Ryan and VanGessel2017).

Amaranthus tuberculatus Control in Corn

In corn (2019), S-metolachlor preemergence provided 18% control of A. tuberculatus at 4 WAPRE, whereas saflufenacil + pyroxasulfone preemergence provided ≥81% control (Table 3). Similarly, A. tuberculatus density in S-metolachlor preemergence plots averaged 253 plants m−2 compared with 20 plants m−2 in saflufenacil + pyroxasulfone preemergence plots. A postemergence application of glyphosate in plots treated with S-metolachlor preemergence further reduced A. tuberculatus density to 43 plants m−2 at 2 WAPOST; however, visible control did not exceed 35% due to the presence of glyphosate-resistant A. tuberculatus population in the field. In contrast, a postemergence application of glufosinate + S-metolachlor in plots treated with saflufenacil + pyroxasulfone preemergence reduced A. tuberculatus density to 2 plants m−2 and increased visible control to ≥97%. Furthermore, A. tuberculatus density in those plots did not increase over the remaining growing season, and none of the plants produced seeds. In contrast, in the S-metolachlor preemergence fb glyphosate postemergence treatment, A. tuberculatus density increased to 69 plants m−2 at 9 WAPOST, a 60% increase in density compared with the density at 2 WAPOST. These plants produced up to 93,300 seeds m−2 at the time of corn harvest.

S-metolachlor is one of the most commonly used preemergence herbicides for A. tuberculatus control in corn, specifically in combination with atrazine (Sarangi and Jhala Reference Sarangi and Jhala2018). However, S-metolachlor alone may not provide satisfactory control of herbicide-resistant (HR) A. tuberculatus populations. Hausman et al. (Reference Hausman, Tranel, Riechers, Maxwell, Gonzini and Hager2013) reported less than 20% control of 4-hydroxyphenylpyruvate dioxygenase (HPPD)-resistant A. tuberculatus at 4 WAPRE with S-metolachlor at 1,600 g ai ha−1. In addition, A. tuberculatus populations resistant to S-metolachlor have been reported (Strom et al. Reference Strom, Gonzini, Mitsdarfer, Davis, Riechers and Hager2019). Therefore, preemergence herbicides with multiple sites of action should be used in a preemergence fb postemergence (two-pass) program to achieve effective control of HR A. tuberculatus. For example, preemergence application of pyroxasulfone at 560 g ai ha−1 alone provided only 63% control of HPPD-resistant A. tuberculatus at 6 WAPRE, whereas pyroxasulfone + saflufenacil + atrazine at 149 + 75 + 560 g ai ha−1 provided 97% control (Oliveira et al. Reference Oliveira, Jhala, Gaines, Irmak, Amundsen, Scott and Knezevic2017).

Amaranthus tuberculatus Control in Soybean

Density, biomass accumulation, and seed production of A. tuberculatus in soybean (2020) were influenced by the level of A. tuberculatus control in the prior year’s corn crop in the corn–soybean rotation (Table 4). Similarly, the presence of cereal rye cover crop and/or row spacing (38-cm- vs. 76-cm-wide rows) of soybean influenced A. tuberculatus density, biomass accumulation, and seed production. Cereal rye cover crop or soybean row spacing had a significant two-way interaction with prior year’s corn weed control for A. tuberculatus density at 3 and 9 WAP and biomass accumulation at 9 WAP. A two-way interaction between cereal rye cover crop and soybean row spacing was significant for A. tuberculatus density at 3 WAP and biomass accumulation at 9 WAP. The three-way interaction between prior year’s corn weed control, cereal rye cover crop, and soybean row spacing was significant only for A. tuberculatus biomass accumulation and seed production at soybean harvest. Treatment means for two-way interactions were compared at the subplot level (Tables 57), whereas treatment means for the three-way interactions were compared at the sub-subplot level (Table 8).

Table 4. Significance of fixed effects on Amaranthus tuberculatus density, biomass, seed production, and grain yield in soybean (corn–soybean rotation) in 2020 at the Iowa State University Research Farms near Ames, IA, and Boone, IA. a

a Abbreviation: WAP, weeks after (soybean) planting.

b First factor (three levels of weed control in prior year’s corn [2019]: 30%, 90%, and 100%).

c Second factor (cereal rye cover crop vs. no cover crop in soybean in 2020).

d Third factor (38-cm- vs. 76-cm-wide rows of soybean in 2020).

e Interaction effects between the factors.

Table 5. Effect of prior year’s corn weed control and cereal rye cover crop on Amaranthus tuberculatus density and biomass in soybean (corn–soybean rotation) in 2020 at the Iowa State University Research Farms near Ames, IA, and Boone, IA. a

a Abbreviation: WAP, weeks after (soybean) planting.

b Treatment means are the estimated values from PROC MIXED. Treatment means within a column with same letter are not significantly different (Tukey test, α = 0.05).

Table 6. Effect of prior year’s corn weed control and soybean row spacing on Amaranthus tuberculatus density and biomass in soybean (corn–soybean rotation) in 2020 at the Iowa State University Research Farms near Ames, IA, and Boone, IA. a

a Abbreviation: WAP, weeks after (soybean) planting.

b Treatment means are the estimated values from PROC MIXED. Treatment means within a column with same letter(s) are not significantly different (Tukey test, α = 0.05).

Table 7. Effect of cereal rye cover crop and soybean row spacing on Amaranthus tuberculatus density and biomass in soybean (corn–soybean rotation) in 2020 at the Iowa State University Research Farms near Ames, IA, and Boone, IA. a

a Abbreviation: WAP, weeks after (soybean) planting.

b Treatment means are the estimated values from PROC MIXED. Treatment means within a column with same letter are not significantly different (Tukey test, α = 0.05).

c The A. tuberculatus density at 9 WAP is not shown in the table, as cover crop by soybean row spacing interaction was not significant.

Table 8. Effect of prior year’s corn weed control, cereal rye cover crop, and soybean row spacing on Amaranthus tuberculatus biomass and seed production at soybean harvest (corn–soybean rotation) in 2020 at the Iowa State University Research Farms near Ames, IA, and Boone, IA.

a Treatment means are the estimated values from PROC MIXED. Treatment means within a column with same letter(s) are not significantly different (Tukey test, α = 0.05).

Amaranthus tuberculatus Density in Soybean

All three weed control tactics tested (prior year’s corn weed control, cereal rye cover crop, and soybean row spacing) reduced the density of A. tuberculatus in soybean at 3 and 9 WAP in 2020 (Tables 57). Among the treatments tested, A. tuberculatus density at 3 and 9 WAP was highest in the treatment that had inadequate A. tuberculatus control (30%) in the prior year’s corn and no cover crop or wide-row soybean in the following year (Tables 5 and 6). Adequate control (≥90%) in the prior year’s corn and presence of the cover crop reduced A. tuberculatus density by more than 70% at 3 and 9 WAP compared with inadequate control (30%) in the prior year’s corn and no cover crop (Table 5). Similarly, adequate control (≥90%) in the prior year’s corn and narrow-row soybean reduced A. tuberculatus density by more than 60% at 3 and 9 WAP compared with inadequate control (30%) in the prior year’s corn and wide-row soybean (Table 6). Presence of the cover crop and narrow-row soybean reduced A. tuberculatus density by 44% at 3 WAP compared with no cover crop and wide-row soybean (Table 7). The two-way interaction between cereal rye cover crop and soybean row spacing was not significant for A. tuberculatus density at 9 WAP (Table 4).

Previous studies have shown that the level of weed control achieved in the prior year/crop can influence the weed control efficacy in the subsequent year/crop. For example, Hartzler and Roth (Reference Hartzler and Roth1993) reported that a premix of S-metolachlor and atrazine provided 88% control of smooth pigweed (Amaranthus hybridus L.) in plots that had received 100% control in the prior year compared with only 66% control in plots that had received 70% control in the prior year. Previous studies have shown that a cereal rye cover crop or reduced row spacing of soybean were effective in reducing A. tuberculatus density in soybean. In a field study conducted over 8 site-years, a cereal rye cover crop alone reduced late-season A. tuberculatus density by 40% compared with a no cover crop treatment (Cornelius and Bradley Reference Cornelius and Bradley2017). Similarly, A. tuberculatus density was reduced by 30% when soybean was planted in 19-cm- versus 76-cm-wide rows (Steckel and Sprague Reference Steckel and Sprague2004).

Amaranthus tuberculatus Biomass in Soybean

Aboveground biomass accumulation of A. tuberculatus in soybean at 9 WAP and at the time of soybean harvest was reduced by all three weed control tactics tested (prior year’s corn weed control, cereal rye cover crop, and soybean row spacing) (Tables 57). Among the treatments tested, highest biomass accumulation of A. tuberculatus at 9 WAP occurred in the treatments that had inadequate A. tuberculatus control (30%) in the prior year’s corn and no cover crop or wide-row soybean in the following year (Tables 5 and 6). Adequate control (≥90%) in prior year’s corn and presence of cover crop reduced A. tuberculatus biomass accumulation by more than 80% at 9 WAP compared with inadequate control (30%) in prior year’s corn and no cover crop (Table 5). A combination of 90% control in the prior year’s corn and narrow-row soybean reduced A. tuberculatus biomass by 69% at 9 WAP compared with inadequate control (30%) in the prior year’s corn and wide-row soybean (Table 6). In contrast, a combination of 100% control in the prior year’s corn and narrow-row soybean reduced A. tuberculatus biomass by 83% at 9 WAP compared with inadequate control (30%) in the prior year’s corn and wide-row soybean. Presence of the cover crop and narrow-row soybean reduced A. tuberculatus biomass accumulation by 90% at 9 WAP compared with no cover crop and wide-row soybean (Table 7). Consistent with our results, Steckel and Sprague (Reference Steckel and Sprague2004) reported that planting soybean in narrow rows (19-cm vs. 76-cm wide) reduced late-season A. tuberculatus biomass by more than 75%. Williams et al. (Reference Williams, Mortensen and Doran1998) reported that a cereal rye cover crop reduced A. tuberculatus and redroot pigweed (Amaranthus retroflexus L.) canopy volume by 70% in soybean at 3 WAP.

Overall, inclusion of a single control tactic, adequate control (≥90%) with multiple herbicides in the prior year’s corn, use of a rye cover crop, or narrow-row soybean, reduced A. tuberculatus biomass accumulation by at least 25% at the time of soybean harvest compared with inadequate control (30%) in the prior year’s corn, no cover crop, and wide-row soybean (Table 8). Inclusion of any combination of two of the three control tactics reduced A. tuberculatus biomass accumulation by at least 40% at the time of soybean harvest, but the combination of all three control tactics reduced A. tuberculatus biomass accumulation by at least 80% at the time of soybean harvest.

Amaranthus tuberculatus Seed Production in Soybean

Similar to density and biomass, A. tuberculatus seed production at the time of soybean harvest was affected by all three weed control tactics tested (prior year’s weed control, cereal rye cover crop, and soybean row spacing) (Table 8). Inadequate A. tuberculatus control (30%) in the prior year’s corn, no cover crop, and wide-row soybean resulted in the production of the largest number of seeds (184,000 seeds m−2) among the treatments tested. In the treatment that had inadequate A. tuberculatus control (30%) in the prior year’s corn and no cover crop, narrow-row soybean reduced A. tuberculatus seed production by 42%. In a previous study, planting soybean in a reduced row spacing (19-cm vs. 76-cm wide) decreased A. tuberculatus seed production by more than 30% (Steckel and Sprague Reference Steckel and Sprague2004). In the present study, the treatment that had inadequate A. tuberculatus control (30%) in the prior year’s corn and wide-row soybean, the cover crop alone reduced A. tuberculatus seed production by 83%. These results are consistent with previous findings by Williams et al. (Reference Williams, Mortensen and Doran1998) wherein the presence of a cereal rye cover crop reduced A. tuberculatus and A. retroflexus fecundity by more than 80% in soybean. Our results also indicated that in the treatment that had 100% A. tuberculatus control in the prior year’s corn and wide-row soybean, presence of the cover crop reduced A. tuberculatus seed production by only 38%. This is likely due to a high biomass accumulation by A. tuberculatus plants in the treatment at the time of soybean harvest (Table 8).

Overall, inclusion of a single control tactic, adequate control (≥90%) in the prior year’s corn, use of a cover crop, or narrow-row soybean, reduced A. tuberculatus seed production by at least 24% compared with inadequate control (30%) in the prior year’s corn, no cover crop, and wide-row soybean. Combined use of the two nonchemical control tactics, namely cereal rye cover crop and narrow-row soybean, was effective in reducing A. tuberculatus seed production by 85%, regardless of the weed control level in the prior year’s corn.

Soybean Grain Yield

Planting soybean into a cereal rye cover crop did not affect soybean stand count (data not shown) or soybean grain yield (Table 4). Previous research also reported that a cereal rye cover crop provided weed suppression without reducing soybean grain yield (Bish et al. Reference Bish, Dintelmann, Oseland, Vaughn and Bradley2021; Bunchek et al. Reference Bunchek, Wallace, Curran, Mortensen, VanGessel and Scott2020; Hodgskiss et al. Reference Hodgskiss, Young, Armstrong and Johnson2021). Among all factors tested, only soybean row spacing affected soybean grain yield (P = 0.03). Narrow-row soybean produced 14% higher grain yield (3,800 kg ha−1) than wide-row soybean (3,250 kg ha−1). This was likely attributable to increased light interception by the soybean canopy in narrow rows compared with wide rows. For instance, soybean planted in narrow rows achieved canopy closure by 9 WAP, approximately 2 wk earlier than the soybean planted in wide rows (data not shown). Previous studies suggest that reducing the soybean row spacing shortens the time required to achieve canopy closure, thereby enhancing light interception and weed suppression (Board et al. Reference Board, Harville and Saxton1990; Légère and Schreiber Reference Légère and Schreiber1989; Steckel and Sprague Reference Steckel and Sprague2004).

Management Implications

Results from the present study indicate that combinations of diverse weed control tactics (“many little hammers”) are required to manage MHR A. tuberculatus seedbanks in corn–soybean rotations. Late-season weed survivors/escapes may not reduce crop yields, but seed inputs can augment the weed seedbank, which makes the seedbank more persistent and imposes a high burden on weed control practices in the subsequent crop(s) in the rotation (Cousens Reference Cousens1987; Dieleman et al. Reference Dieleman, Mortensen and Martin1999; Hartzler and Roth Reference Hartzler and Roth1993). This is more important when combating HR weed populations, as a high weed seedbank density will put more burden on subsequent herbicides and accelerate the evolution of MHR weed populations (Neve et al. Reference Neve, Norsworthy, Smith and Zelaya2011). Corn and soybean canopy development affect A. tuberculatus density, growth, and seed production differently (Uscanga-Mortera et al. Reference Uscanga-Mortera, Clay, Forcella and Gunsolus2007) and may require different management practices. Therefore, control tactics targeting weed seed production, such as an aggressive herbicide program employing multiple sites of action in corn and a cereal rye cover crop or narrow-row soybean, can be used to reduce seedbank additions of HR A. tuberculatus populations.

Amaranthus tuberculatus has an extended emergence period (Hartzler et al. Reference Hartzler, Buhler and Stoltenberg1999), and it is likely that a single control tactic will not provide adequate weed control (Tranel Reference Tranel2021). Therefore, multi-tactic strategies targeting A. tuberculatus at multiple life-cycle stages are desirable at a cropping-system level. For instance, adequate A. tuberculatus control achieved by utilizing a multiple sites of action herbicide program in prior year’s corn reduced plant density in the following year’s soybean. A cereal rye cover crop provided early-season A. tuberculatus control in soybean, mostly through physical suppression (Teasdale and Mohler Reference Teasdale and Mohler1993). Allelopathy might also have played a role in early-season weed suppression (Teasdale et al. Reference Teasdale, Rice, Cai and Mangum2012), although it was not quantified in the present study. Planting soybean in a reduced row spacing was also a complementary strategy to control late-emerging A. tuberculatus cohorts through early crop canopy closure shading (Steckel and Sprague Reference Steckel and Sprague2004).

Finally, none of the control tactics tested provided satisfactory levels of A. tuberculatus control when used alone. However, the cumulative effect of combining adequate control in prior year’s corn, a cereal rye cover crop, and narrow-row soybean provided more than 80% control of A. tuberculatus. It might also have reduced the burden on subsequent control tactics. For example, a high weed seedbank density can decrease the quantity of soil-applied herbicides absorbed by individual plants (Hoffman and Lavy Reference Hoffman and Lavy1978; Winkle et al. Reference Winkle, Leavitt and Burnside1981), resulting in reduced efficacy and a greater burden on a subsequent postemergence herbicide(s). Similarly, a cereal rye cover crop alone would not provide effective control of A. tuberculatus, but could potentially increase herbicide efficacy by reducing weed density and biomass at the time of postemergence application (Myers et al. Reference Myers, Curran, Vangessel, Majek, Scott, Mortensen, Calvin, Karsten and Roth2005; Wallace et al. Reference Wallace, Curran and Mortensen2019). In conclusion, our study shows that “many little hammers” across 2 yr in a corn–soybean rotation can be used to suppress A. tuberculatus populations that are resistant to the “big hammer”—herbicide. It should be noted that weed control tactics evaluated in the present study were focused on controlling A. tuberculatus during the early season. Therefore, additional control tactics such as harvest weed seed control should be used to reduce A. tuberculatus seeds returning to seedbank from the escapes/survivors. Future research is needed to determine how these ecological tactics, namely cereal rye cover crop and narrow-row soybean, can affect A. tuberculatus percent seed retention at the time of soybean harvest, a crucial factor for the success of harvest weed seed control methods.

Acknowledgments

We thank the USDA NIFA Hatch Project no. IOWO 5582 and the Iowa Soybean Association for providing funding to support this research. We also appreciate the technical assistance provided by Damian Franzenburg, Iththiphonh Macvilay, James Lee, Trey Woodall, Avery Bennett, Edward Dearden, Ryan Hamberg, Alexis Meadows, and Austin Schleich in conducting the multi-location field experiments. No conflicts of interest have been declared.

Footnotes

Associate Editor: Martin M. Williams II, USDA–ARS

References

Anderson, RL (2003) An ecological approach to strengthen weed management in the semiarid Great Plains. Adv Agron 80:3362 CrossRefGoogle Scholar
Bish, M, Dintelmann, B, Oseland, E, Vaughn, J, Bradley, K (2021) Effects of cereal rye seeding rate on waterhemp (Amaranthus tuberculatus) emergence and soybean growth and yield. Weed Technol 35:838844 CrossRefGoogle Scholar
Board, JE, Harville, BG, Saxton, AM (1990) Narrow-row seed-yield enhancement in determinate soybean. Agron J 82:6468 CrossRefGoogle Scholar
Board, JE, Kamal, M, Harville, BG (1992) Temporal importance of greater light interception to increase yield in narrow-row soybean. Agron J 84:575579 CrossRefGoogle Scholar
Buhler, DD (1999a) Weed population responses to weed control practices. I. Seed bank, weed populations, and crop yields. Weed Sci 47:416422 CrossRefGoogle Scholar
Buhler, DD (1999b) Weed population responses to weed control practices. II. Residual effects on weed populations, control, and Glycine max yield. Weed Sci 47:423426 CrossRefGoogle Scholar
Buhler, DD, Gunsolus, JL, Ralston, DF (1992) Integrated weed management techniques to reduce herbicide inputs in soybean. Agron J 84:973978 CrossRefGoogle Scholar
Bunchek, JM, Wallace, JM, Curran, WS, Mortensen, DA, VanGessel, MJ, Scott, BA (2020) Alternative performance targets for integrating cover crops as a proactive herbicide-resistance management tool. Weed Sci 68:534544 CrossRefGoogle Scholar
Cornelius, CD, Bradley, KW (2017) Influence of various cover crop species on winter and summer annual weed emergence in soybean. Weed Technol 31:503513 CrossRefGoogle Scholar
Costea, M, Weaver, SE, Tardif, FJ (2005) The biology of invasive alien plants in Canada. 3. Amaranthus tuberculatus (Moq.) Sauer var. rudis (Sauer) Costea & Tardif. Can J Plant Sci 85:507522 CrossRefGoogle Scholar
Cousens, R (1987) Theory and reality of weed control thresholds. Plant Prot Q 2:1320 Google Scholar
Dieleman, JA, Mortensen, DA, Martin, AR (1999) Influence of velvetleaf (Abutilon theophrasti) and common sunflower (Helianthus annuus) density variation on weed management outcomes. Weed Sci 47:8189 CrossRefGoogle Scholar
Hager, AG, Wax, LM, Stoller, EW, Bollero, GA (2002) Common waterhemp (Amaranthus rudis) interference in soybean. Weed Sci 50:607610 CrossRefGoogle Scholar
Hartzler, RG, Battles, BA, Nordby, D (2004) Effect of common waterhemp (Amaranthus rudis) emergence date on growth and fecundity in soybean. Weed Sci 52:242245 CrossRefGoogle Scholar
Hartzler, RG, Buhler, DD, Stoltenberg, DE (1999) Emergence characteristics of four annual weed species. Weed Sci 47:578584 CrossRefGoogle Scholar
Hartzler, RG, Roth, GW (1993) Effect of prior year’s weed control on herbicide effectiveness in corn (Zea mays). Weed Technol 7:611614 CrossRefGoogle Scholar
Hausman, NE, Tranel, PJ, Riechers, DE, Maxwell, DJ, Gonzini, LC, Hager, AG (2013) Responses of an HPPD inhibitor-resistant waterhemp (Amaranthus tuberculatus) population to soil-residual herbicides. Weed Technol 27:704711 CrossRefGoogle Scholar
Heap, I (2022) The International Herbicide-Resistant Weed Database. www.weedscience.org. Accessed: October 18, 2022Google Scholar
Hodgskiss, CL, Young, BG, Armstrong, SD, Johnson, WG (2021) Evaluating cereal rye and crimson clover for weed suppression within buffer areas in dicamba-resistant soybean. Weed Technol 35:404411 CrossRefGoogle Scholar
Hoffman, DW, Lavy, TL (1978) Plant competition for atrazine. Weed Sci 26:9499 CrossRefGoogle Scholar
Horak, MJ, Loughin, TM (2000) Growth analysis of four Amaranthus species. Weed Sci 48:347355 CrossRefGoogle Scholar
Kaspar, TC, Jaynes, DB, Parkin, TB, Moorman, TB, Singer, JW (2012) Effectiveness of oat and rye cover crops in reducing nitrate losses in drainage water. Agric Water Manag 110:2533 CrossRefGoogle Scholar
Khedir, KD, Roeth, EW (1981) Velvetleaf seed populations in six continuous corn fields. Weed Sci 29:485490 CrossRefGoogle Scholar
Knezevic, SZ, Evans, SP, Mainz, M (2003) Row spacing influences the critical timing for weed removal in soybean (Glycine max). Weed Technol 17:666673 CrossRefGoogle Scholar
Kozak, M, Piepho, H-P (2018) What’s normal anyway? Residual plots are more telling than significance tests when checking ANOVA assumptions. J Agron Crop Sci 204:8698 CrossRefGoogle Scholar
Légère, A, Schreiber, MM (1989) Competition and canopy architecture as effected by soybean (Glycine max) row width and density of redroot pigweed (Amaranthus retroflexus). Weed Sci 37:8492 CrossRefGoogle Scholar
Liebman, M, Gallandt, ER (1997) Many little hammers: ecological management of crop-weed interactions. Pages 291343 in Jackson, LE, ed. Ecology in Agriculture. San Diego, CA: Academic CrossRefGoogle Scholar
McLachlan, SM, Tollenaar, M, Swanton, CJ, Weise, SF (1993) Effect of corn-induced shading on dry matter accumulation, distribution, and architecture of redroot pigweed (Amaranthus retroflexus). Weed Sci 41:568573 CrossRefGoogle Scholar
Mirsky, SB, Curran, WS, Mortensen, DM, Ryan, MR, Shumway, DL (2011) Timing of cover-crop management effects on weed suppression in no-till planted soybean using a roller-crimper. Weed Sci 59:380389 CrossRefGoogle Scholar
Mirsky, SB, Ryan, MR, Curran, WS, Teasdale, JR, Maul, J, Spargo, JT, Moyer, J, Grantham, AM, Weber, D, Way, T, Camargo, GG (2012) Conservation tillage issues: cover crop-based organic rotational no-till grain production in the Mid-Atlantic, USA. Renew Agric Food Syst 27:3140 CrossRefGoogle Scholar
Mirsky, SB, Ryan, MR, Teasdale, JR, Curran, WS, Reberg-Horton, CS, Spargo, JT, Wells, MS, Keene, CL, Moyer, JW (2013) Overcoming weed management challenges in cover crop-based organic rotational no-till soybean production in the eastern US. Weed Technol 27:193203 CrossRefGoogle Scholar
Mohler, CL, Teasdale, JR (1993) Response of weed emergence to rate of Vicia villosa Roth and Secale cereale L. residue. Weed Res 33:487499 CrossRefGoogle Scholar
Moore, EB, Wiedenhoeft, MH, Kaspar, TC, Cambardella, CA (2014) Rye cover crop effects on soil quality in no-till corn silage-soybean cropping systems. Soil Sci Soc Am J 78:968976 CrossRefGoogle Scholar
Myers, MW, Curran, WS, Vangessel, MJ, Majek, BA, Scott, BA, Mortensen, DA, Calvin, DD, Karsten, HD, Roth, GW (2005) The effect of weed density and application timing on weed control and corn grain yield. Weed Technol 19:102107 CrossRefGoogle Scholar
Neve, P, Norsworthy, JK, Smith, KL, Zelaya, IA (2011) Modelling evolution and management of glyphosate resistance in Amaranthus palmeri . Weed Res 51:99112 CrossRefGoogle Scholar
Oliveira, MC, Jhala, AJ, Gaines, T, Irmak, S, Amundsen, K, Scott, JE, Knezevic, SZ (2017) Confirmation and control of HPPD-inhibiting herbicide–resistant waterhemp (Amaranthus tuberculatus) in Nebraska. Weed Technol 31:6779 CrossRefGoogle Scholar
Pammel, LH (1913) Weed Flora of Iowa. Des Moines: Iowa Geological Survey. 52 pGoogle Scholar
Sarangi, D, Jhala, AJ (2018) A statewide survey of stakeholders to assess the problem weeds and weed management practices in Nebraska. Weed Technol 32:642655 CrossRefGoogle Scholar
Sarangi, D, Stephens, T, Barker, AL, Patterson, EL, Gaines, TA, Jhala, AJ (2019) Protoporphyrinogen oxidase (PPO) inhibitor–resistant waterhemp (Amaranthus tuberculatus) from Nebraska is multiple herbicide resistant: confirmation, mechanism of resistance, and management. Weed Sci 67:510520 CrossRefGoogle Scholar
Satterthwaite, FE (1946) An approximate distribution of estimates of variance components. Biometrics Bull 2:110114 CrossRefGoogle ScholarPubMed
Snapp, S, Surapur, S (2018) Rye cover crop retains nitrogen and doesn’t reduce corn yields. Soil Tillage Res 180:107115 CrossRefGoogle Scholar
Steckel, LE, Sprague, CL (2004) Late-season common waterhemp (Amaranthus rudis) interference in narrow- and wide-row soybean. Weed Technol 18:947952 CrossRefGoogle Scholar
Strom, SA, Gonzini, LC, Mitsdarfer, C, Davis, AS, Riechers, DE, Hager, AG (2019) Characterization of multiple herbicide–resistant waterhemp (Amaranthus tuberculatus) populations from Illinois to VLCFA-inhibiting herbicides. Weed Sci 67:369379 CrossRefGoogle Scholar
Teasdale, JR (1996) Contribution of cover crops to weed management in sustainable agricultural systems. J Prod Agric 9:475479 CrossRefGoogle Scholar
Teasdale, JR, Brandsaeter, L, Calegari, A, Neto, F (2007) Cover crops and weed management. Pages 49–64 in Upadhyaya MK, Upadhyaya MK, Blackshaw RE, eds. Non-chemical Weed Management Principles. Concepts and Technology. Wallingford, UK: CABICrossRefGoogle Scholar
Teasdale, JR, Mohler, CL (1993) Light transmittance, soil temperature, and soil moisture under residue of hairy vetch and rye. Agron J 85:673680 CrossRefGoogle Scholar
Teasdale, JR, Rice, CP, Cai, GM, Mangum, RW (2012) Expression of allelopathy in the soil environment: soil concentration and activity of benzoxazinoid compounds released by rye cover crop residue. Plant Ecol 213:18931905 CrossRefGoogle Scholar
Tranel, PJ (2021) Herbicide resistance in Amaranthus tuberculatus . Pest Manag Sci 77:4354 CrossRefGoogle ScholarPubMed
Uscanga-Mortera, E, Clay, SA, Forcella, F, Gunsolus, J (2007) Common waterhemp growth and fecundity as influenced by emergence date and competing crop. Agron J 99:12651270 CrossRefGoogle Scholar
Van Wychen, L (2017) Survey of the Most Common and Troublesome Weeds in Grass Crops, Pasture and Turf in the United States and Canada. Weed Science Society of America National Weed Survey Dataset. https://wssa.net/wp-content/uploads/2017-Weed-Survey_Grass-crops.xlsx. Accessed: October 18, 2022Google Scholar
Van Wychen, L (2019) 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/2019-Weed-Survey_broadleaf-crops.xlsx. Accessed: October 18, 2022Google Scholar
Wallace, JM, Curran, WS, Mortensen, DA (2019) Cover crop effects on horseweed (Erigeron canadensis) density and size inequality at the time of herbicide exposure. Weed Sci 67:327338 CrossRefGoogle Scholar
Wallace, JM, Keene, CL, Curran, W, Mirsky, S, Ryan, MR, VanGessel, MJ (2017) Integrated weed management strategies in cover crop-based, organic rotational no-till corn and soybean in the Mid-Atlantic region. Weed Sci 66:115 Google Scholar
Waselkov, KE, Olsen, KM (2014) Population genetics and origin of the native North American agricultural weed waterhemp (Amaranthus tuberculatus; Amaranthaceae). Am J Bot 101:17261736 CrossRefGoogle ScholarPubMed
Williams, MM, Mortensen, DA, Doran, JW (1998) Assessment of weed and crop fitness in cover crop residues for integrated weed management. Weed Sci 46:595603 CrossRefGoogle Scholar
Winkle, ME, Leavitt, JRC, Burnside, OC (1981) Effects of weed density on herbicide absorption and bioactivity. Weed Sci 29:405409 CrossRefGoogle Scholar
Wu, C, Davis, AS, Tranel, PJ (2018) Limited fitness costs of herbicide-resistance traits in Amaranthus tuberculatus facilitate resistance evolution. Pest Manag Sci 74:293301 CrossRefGoogle ScholarPubMed
Wu, C, Owen, MDK (2014) When is the best time to emerge: reproductive phenology and success of natural common waterhemp (Amaranthus rudis) cohorts in the Midwest United States? Weed Sci 62:107117 CrossRefGoogle Scholar
Young, BG, Young, JM, Gonzini, LC, Hart, SE, Wax, LM, Kapusta, G (2001) Weed management in narrow- and wide-row glyphosate-resistant soybean (Glycine max). Weed Technol 15:112121 CrossRefGoogle Scholar
Figure 0

Table 1. Average air temperatures and total precipitation during 2019 and 2020 growing seasons at the Iowa State University Research Farms near Ames, IA, and Boone, IA.a

Figure 1

Figure 1. Plot layout of the field experiments conducted over 2 yr (2019 to 2020) in a corn–soybean rotation at the Iowa State University Research Farms near Ames, IA, and Boone, IA.

Figure 2

Table 2. Herbicide programs for Amaranthus tuberculatus control in corn (corn–soybean rotation) in 2019 at the Iowa State University Research Farms near Ames, IA, and Boone, IA.a

Figure 3

Table 3. Amaranthus tuberculatus visible control, density, biomass, and seed production with different herbicide programs in corn (corn–soybean rotation) in 2019 at the Iowa State University Research Farms near Ames, IA, and Boone, IA.a

Figure 4

Table 4. Significance of fixed effects on Amaranthus tuberculatus density, biomass, seed production, and grain yield in soybean (corn–soybean rotation) in 2020 at the Iowa State University Research Farms near Ames, IA, and Boone, IA.a

Figure 5

Table 5. Effect of prior year’s corn weed control and cereal rye cover crop on Amaranthus tuberculatus density and biomass in soybean (corn–soybean rotation) in 2020 at the Iowa State University Research Farms near Ames, IA, and Boone, IA.a

Figure 6

Table 6. Effect of prior year’s corn weed control and soybean row spacing on Amaranthus tuberculatus density and biomass in soybean (corn–soybean rotation) in 2020 at the Iowa State University Research Farms near Ames, IA, and Boone, IA.a

Figure 7

Table 7. Effect of cereal rye cover crop and soybean row spacing on Amaranthus tuberculatus density and biomass in soybean (corn–soybean rotation) in 2020 at the Iowa State University Research Farms near Ames, IA, and Boone, IA.a

Figure 8

Table 8. Effect of prior year’s corn weed control, cereal rye cover crop, and soybean row spacing on Amaranthus tuberculatus biomass and seed production at soybean harvest (corn–soybean rotation) in 2020 at the Iowa State University Research Farms near Ames, IA, and Boone, IA.