Hostname: page-component-cd9895bd7-jn8rn Total loading time: 0 Render date: 2024-12-27T07:56:52.418Z Has data issue: false hasContentIssue false

Control of Glyphosate-Resistant Common Waterhemp (Amaranthus rudis) in Glufosinate-Resistant Soybean

Published online by Cambridge University Press:  08 February 2017

Amit J. Jhala*
Affiliation:
Assistant Professor, Extension Educator, and Postdoctoral Research Associate, Department of Agronomy and Horticulture, University of Nebraska─Lincoln, Lincoln, NE 68583
Lowell D. Sandell
Affiliation:
Assistant Professor, Extension Educator, and Postdoctoral Research Associate, Department of Agronomy and Horticulture, University of Nebraska─Lincoln, Lincoln, NE 68583
Debalin Sarangi
Affiliation:
Assistant Professor, Extension Educator, and Postdoctoral Research Associate, Department of Agronomy and Horticulture, University of Nebraska─Lincoln, Lincoln, NE 68583
Greg R. Kruger
Affiliation:
Associate Professor, West Central Research and Extension Center, University of Nebraska─Lincoln, North Platte, NE 69101
Steven Z. Knezevic
Affiliation:
Professor, Northeast Research and Extension Center, Haskell Agricultural Laboratory, University of Nebraska─Lincoln, Concord, NE 68728
*
*Corresponding author’s E-mail: Amit.Jhala@unl.edu
Rights & Permissions [Opens in a new window]

Abstract

Glyphosate-resistant (GR) common waterhemp has become a significant problem weed in Nebraska and several Midwestern states. Several populations of GR common waterhemp are also resistant to acetolactate synthase (ALS)-inhibiting herbicides, making them difficult to control with POST herbicides in GR soybean. Glufosinate-resistant (GFR) soybean is an alternate system for controlling GR common waterhemp, justifying the need for evaluating glufosinate-based herbicide programs. The objectives of this study were to compare POST-only herbicide programs (including one-pass and two-pass POST programs) with PRE followed by (fb) POST herbicide programs for control of GR common waterhemp in GFR soybean and their effect on common waterhemp density, biomass, and soybean yield. Field experiments were conducted in 2013 and 2014 near Fremont, NE in a grower’s field infested with GR common waterhemp. Glufosinate applied early- and late-POST provided 76% control of GR common waterhemp at 14 d after late-POST (DALPOST) compared with 93% control with a PRE fb POST program when averaged across treatments. The PRE application of chlorimuron plus thifensulfuron plus flumioxazin, S-metolachlor plus fomesafen or metribuzin, saflufenacil plus dimethenamid-P fb glufosinate provided ≥95% control of common waterhemp throughout the growing season, reduced common waterhemp density to ≤2.0 plants m─2, caused ≥94% biomass reduction, and led to 1,984 to 2,210 kg ha─1 soybean yield. Averaged across treatments, the PRE fb POST program provided 82% common waterhemp control at soybean harvest, reduced density to 23 plants m─2 at 14 DALPOST, and caused 86% biomass reduction and 1,803 kg ha─1 soybean yield compared with 77% control, 99 plants m─2, 53% biomass reduction, and 1,190 kg ha─1 yield with POST-only program. It is concluded that PRE fb POST programs with multiple effective modes of action are available for control of GR common waterhemp in GFR soybean.

Amaranthus rudis resistente a glyphosate (GR) se ha convertido en un problema de malezas significativo en Nebraska y en varios estados del Medio Oeste. Varias poblaciones de A. rudis GR también son resistentes a herbicidas inhibidores de acetolactate synthase, lo que las hace difíciles de controlar con herbicidas POST en soja GR. Soja resistente a glufosinate es un sistema alternativo para el control de A. rudis GR, lo que justifica la necesidad de evaluar programas de herbicidas basados en glufosinate. Los objetivos de este estudio fueron comparar programas con sólo herbicidas POST (incluyendo programas POST con uno y dos pases) con programas de herbicidas PRE seguidos por (fb) POST para el control de A. rudis GR en soja GFR y sus efectos sobre la densidad y biomasa de A. rudis y el rendimiento de la soja. En 2013 y 2014, se realizaron experimentos de campo cerca de Fremont, Nebraska en un campo comercial infestado con A. rudis GR. Glufosinate aplicado en POST temprano y tardío brindó 76% de control de A. rudis GR a 14 d después del POST tardío (DALPOST), comparado con 93% de control con un programa PRE fb POST, cuando se promediaron los tratamientos. Las aplicaciones PRE de chlorimuron más thifensulturon más flumioxazin, S-metolachlor más fomesafen o metribuzin, saflufenacil más dimethenamid-P fb glufosinate brindaron ≥95% de control de A. rudis a lo largo de la temporada de crecimiento, redujeron la densidad de A. rudis a ≤2 plantas m−2, causaron ≥94% de reducción de biomasa, y permitieron un rendimiento de soja de 1,984 a 2,210 kg ha−1. Al promediarse los tratamientos, el programa PRE fb POST brindó 82% de control de A. rudis al momento de la cosecha, redujo la densidad a 23 plantas m−2 a 14 DALPOST, causó 86% de reducción de biomasa, y el rendimiento de la soja fue 1,803 kg ha−1, comparado con 77% de control, 99 plantas m−2, 53% de reducción de biomasa, y un rendimiento de 1,190 kg ha−1 con el programa de sólo herbicidas POST. Se concluyó que hay programas de herbicidas PRE fb POST disponibles con modos de acción efectivos para el control de A. rudis GR en soja GFR.

Type
Weed Management-Major Crops
Copyright
© Weed Science Society of America, 2017 

Common waterhemp, a native to the Great Plains region of the United States, is a problem C4 broadleaf weed species in Nebraska and several other states in the Midwestern United States (Rosenbaum and Bradley Reference Rosenbaum and Bradley2013; Waselkov and Olsen Reference Waselkov and Olsen2014). Common waterhemp is a prolific seed producer. On average, a single female plant produces 250,000 seeds, though some plants can produce more than 1 million seeds when allowed to grow without competition (Sellers et al. Reference Sellers, Smeda, Johnson, Kending and Ellersieck2003). Common waterhemp is a highly competitive weed that causes significant yield losses in many crops, including corn (Zea mays L.) and soybean (Bensch et al. Reference Bensch, Horak and Peterson2003; Steckel and Sprague Reference Steckel and Sprague2004). For example, Hager et al. (Reference Hager, Wax, Stoller and Bollero2002a) reported that when common waterhemp plants were allowed to interfere up to 10 wk after soybean unifoliate expansion, there was a 43% yield loss in soybean compared with the weed-free control. Steckel and Sprague (Reference Steckel and Sprague2004) reported 74% corn yield reduction due to season-long common waterhemp interference. Common waterhemp has a prolonged emergence pattern (Refsell and Hartzler Reference Refsell and Hartzler2009), and even late-emerging cohorts have strong seed production potential (Wu and Owen Reference Wu and Owen2014). The species’ ability to compete with crops, rapid growth rate, prolific seed production, extended emergence pattern, and ability to thrive under a wide range of stress conditions have established common waterhemp as a successful weed in conventional and no-till crop production systems in the Midwest (Horak and Loughin Reference Horak and Loughin2000; Owen Reference Owen2008; Rosenbaum and Bradley Reference Rosenbaum and Bradley2013; Sarangi et al. Reference Sarangi, Irmak, Lindquist, Knezevic and Jhala2016; Steckel et al. Reference Steckel, Sprague, Hager, Simmons and Bollero2003; Wu and Owen Reference Wu and Owen2014; Reference Wu and Owen2015).

Since the commercialization of glyphosate-resistant (GR) crops, the continuous use of glyphosate in GR corn and soybean cropping systems and a decline in the use of residual herbicides in the Midwest has resulted in the evolution of GR weeds (Beckie Reference Beckie2006; Culpepper Reference Culpepper2006; Young Reference Young2006). The first report of a GR weed in the United States was horseweed [Conyza canadensis (L.) Cronq.] in Delaware (VanGessel Reference VanGessel2001). As of June 2016, 35 weed species worldwide have been confirmed resistant to glyphosate, including 16 species in the United States (Heap Reference Heap2016a) and six in Nebraska (Jhala Reference Jhala2016). The first report of GR common waterhemp was in Missouri in 2008 (Legleiter and Bradley Reference Legleiter and Bradley2008), and as of 2016, it has been confirmed in 17 states in the United States (Heap Reference Heap2016b) and in Ontario, Canada (P. Sikkema, personal communication). Common waterhemp biotypes resistant to herbicides belonging to other mode of action groups have also been confirmed. For example, common waterhemp populations resistant to acetolactate synthase (ALS)-inhibitors (Horak and Peterson Reference Horak and Peterson1995), photosystem II–inhibitors (Anderson et al. Reference Anderson, Roeth and Martin1996), protoporphyrinogen oxidase (PPO)-inhibitors (Shoup et al. Reference Shoup, Al-Khatib and Peterson2003), 4-hydroxyphenylpyruvate dioxygenase (HPPD)-inhibitors (Hausman et al. Reference Hausman, Singh, Tranel, Riechers, Kaundun, Polge, Thomas and Hager2011), and synthetic auxins (Bernards et al. Reference Bernards, Crespo, Kruger, Gaussoin and Tranel2012) have been reported. Common waterhemp resistant to multiple herbicides has also been reported (Bell et al. Reference Bell, Hager and Tranel2013; Legleiter and Bradley Reference Legleiter and Bradley2008). Glyphosate-resistant common waterhemp has recently been confirmed in several eastern Nebraska counties (Sarangi et al. Reference Sarangi, Sandell, Knezevic, Aulakh, Lindquist, Irmak and Jhala2015), and management of GR common waterhemp has become a challenge for Nebraska corn and soybean growers. Additionally, the majority of GR common waterhemp biotypes in eastern Nebraska have decreased sensitivity to ALS-inhibiting herbicides, further lowering the number of effective POST herbicide options for management in GR soybean (Sarangi et al. Reference Sarangi, Sandell, Knezevic, Aulakh, Lindquist, Irmak and Jhala2015).

Glufosinate is a contact, POST herbicide for control of a broad spectrum of emerged broadleaf and grassy weeds. It is a non-selective herbicide historically used for weed control in fruit and nut orchards and non-crop areas; however, after the commercialization of glufosinate-resistant (GFR) crops in 1999, glufosinate has been used POST in crops resistant to glufosinate, including soybean (Wiesbrook et al. Reference Wiesbrook, Johnson, Hart, Bradley and Wax2001). Glufosinate inhibits glutamine synthetase, an enzyme that is essential for nitrogen metabolism in plants (Logusch et al. Reference Logusch, Walker, McDonald and Franz1991). Glutamine synthetase is involved in the assimilation of ammonium, and inhibition of this enzyme results in the buildup of ammonium in plant tissue, indirectly inhibiting photorespiration and photosynthesis in the plant and thus causing plant death (Wild and Manderscheid Reference Wild and Manderscheid1984). Though the adoption of GFR crops has been slow, the evolution of GR weeds is causing growers to search for alternative herbicide-resistant cropping technologies (Aulakh and Jhala Reference Aulakh and Jhala2015). For example, growers began to adopt GFR soybean in the Mid-South as an option for controlling GR Palmer amaranth (Amaranthus palmeri S. Wats) (Riar et al. Reference Riar, Norsworthy, Steckel, Stephenson, Eubank and Scott2013). It is possible that GFR soybean will be adopted on a relatively large scale in the Midwest in the near future for the control of GR weeds, including common waterhemp. Research conducted in Nebraska reported excellent control of GR giant ragweed (Ambrosia trifida L.) and GR volunteer corn in GFR soybean (Chahal and Jhala Reference Chahal and Jhala2015; Kaur et al. Reference Kaur, Sandell, Lindquist and Jhala2014). More information is needed to develop recommendations for herbicide programs that can provide effective control of GR common waterhemp and other difficult-to-control weeds in GFR soybean.

Glufosinate can be applied in a single application or sequentially, though its maximum cumulative total may not exceed 1,329 g ai ha─1 per growing season in GFR soybean (Anonymous 2016). If applied in a burndown (before planting) program, the application rate can be 593 to 736 g ai ha─1, with an additional in-season application of 593 g ai ha─1 before but not during the bloom growth stage of GFR soybean (Anonymous 2016). Sequential applications of glufosinate should be made at least five days apart. Aulakh and Jhala (Reference Aulakh and Jhala2015) reported <82% control of common waterhemp, common lambsquarters (Chenopodium album L.), and eastern black nightshade (Solanum ptychanthum Dunal) with glufosinate applied early and late POST, compared with ≥95% control with sulfentrazone plus metribuzin applied PRE followed by (fb) glufosinate plus pyroxasulfone (3-[[5-(difluoromethoxy)-1-methyl-3-(trifluoromethyl)pyrazol-4-yl]methylsulfonyl]-5,5-dimethyl-4H-1,2-oxazole) or acetochlor applied POST. Similarly, Bell et al. (Reference Bell, Norsworthy and Scott2016) reported 98% control of GR Palmer amaranth in GFR soybean with flumioxazin plus pyroxasulfone applied PRE fb glufosinate, but <70% control with glufosinate applied sequentially. Therefore, it is important to incorporate residual herbicides with different modes of action in glufosinate-based herbicide programs to achieve season-long control of GR weeds such as common waterhemp.

Scientific literature comparing one- and two-pass POST herbicide programs to PRE fb POST programs for controlling GR common waterhemp in GFR soybean is limited. The objective of this study was to compare glufosinate-based one- or two-pass POST herbicide (POST-only) programs to PRE fb POST programs for the management of GR common waterhemp. We evaluated the effect of each treatment on common waterhemp density and biomass and GFR soybean injury and yield. We hypothesized that residual PRE herbicides applied at planting fb glufosinate would provide better control of GR common waterhemp and higher soybean yield than POST-only programs.

Materials and Methods

Field Experiments

Field experiments were conducted during the summers of 2013 and 2014 in a grower’s field near Fremont, NE (41.47°N, 96.46°W) that was infested with GR common waterhemp. The level of glyphosate resistance in the common waterhemp biotype from this site was 16- to 24-fold that of known susceptible biotypes, and it also had a reduced susceptibility to ALS-inhibiting herbicides (Sarangi et al. Reference Sarangi, Sandell, Knezevic, Aulakh, Lindquist, Irmak and Jhala2015). Common waterhemp was the dominant weed at the research site, with an average density of 250 to 300 plants m–2. The field had been under GR corn or soybean production systems with a reliance on glyphosate for weed control for at least 8 yr. The soil at the experimental site was clay (Luton series) with a pH of 6.7, and comprised 29% sand, 30% silt, 41% clay, and 4% organic matter. A soybean cultivar resistant to glufosinate was planted in a conventionally-tilled seedbed at 345,000 seeds ha–1 in rows spaced 76.2 cm apart. Soybean was planted on June 11 in 2013, due to adverse weather conditions early in the season, and on May 20 in 2014. Individual plots measured 3 m wide by 9 m long. The experimental site was located in a rainfed, dryland environment with no supplemental irrigation; however, precipitation was adequate to activate the residual herbicides (Table 1).

Table 1 Monthly mean air temperature and total precipitation during the 2013 and 2014 growing seasons, along with the 30-yr average, at Fremont, Nebraska.Footnote a

a Data were obtained from National Oceanic and Atmospheric Administration (NOAA 2015).

Field experiments were arranged in a randomized complete block design with four replications for each treatment. The herbicide programs evaluated to control GR common waterhemp consisted of one-pass POST, two-pass POST, and PRE fb POST programs (Table 2). A non-treated control was included for comparison. Herbicides were applied with a handheld, CO2-pressurized backpack sprayer equipped with AIXR 110015 flat fan nozzles (TeeJet® Technologies, Spraying Systems Co., P.O. Box 7900, Wheaton, IL 60187) calibrated to deliver 140 L ha–1 at 276 kPa at a constant speed of 4.8 km h–1. To improve efficacy, each treatment with glufosinate was mixed with ammonium sulfate at 3.4 kg ha─1, as recommended on the label (Anonymous 2016). PRE herbicides were applied on the day of soybean planting, whereas early-POST herbicides were applied 21 d after PRE (DAPRE), at which time the common waterhemp was 8 to 18 cm tall (depending on treatment), and soybean was at the first to second trifoliate stage. Late-POST herbicide applications were made 14 d after the early-POST herbicide applications (DAEPOST), when common waterhemp plants were 5 to 20 cm tall. Common waterhemp plant height at the time of late-POST herbicide application was variable because some new plants had emerged and some plants had been partially controlled by the early-POST herbicide applications.

Table 2 Details of herbicide treatments, application timings, and rates used for control of glyphosate-resistant common waterhemp in glufosinate-resistant soybean, in field experiments conducted in Nebraska in 2013 and 2014.

a Each treatment with glufosinate was mixed with ammonium sulfate (DSM Chemicals North America Inc., Augusta, GA) at 3.4 kg ha─1.

Data Collection

Common waterhemp control was assessed visually at 14 DAPRE, 14 DAEPOST, 14 d after late-POST (DALPOST) herbicide applications, and at soybean harvest, on a scale of 0% to 100%, with 0% meaning no control or injury symptoms on common waterhemp plants, and 100% meaning complete control. Common waterhemp densities were recorded at 14 DAPRE and 14 DALPOST by counting the number of common waterhemp plants in two 0.25 m2 quadrats placed randomly between the center two soybean rows in each plot and were reported as the number of plants per square meter. At 28 DALPOST, common waterhemp plants that survived the herbicide treatments were cut at the soil surface from two randomly selected 0.25 m2 quadrats per plot and oven-dried at 65 C until they reached a constant weight. Aboveground biomass was converted into percent biomass reduction compared with the non-treated control using the following equation (Wortman Reference Wortman2014):

(1) $$\,\&#x0025;\,{\rm biomass\, reduction}{\equals}\left[ {\left( {\mathop{{\bar{C} }}\limits^{{}} {\minus}B} \right)\,/\,\mathop{{\bar{C}}}\limits^{{}} } \right]{\times}100$$

where $\bar{C}$ is the biomass of the non-treated control and B is the biomass of an individual treated plot. Soybean injury data were recorded at 14 DAPRE, 7 DAEPOST, 7 DALPOST, and 28 DALPOST, on a scale of 0% to 100%, with 0% indicating no soybean injury and 100% indicating death of soybean plants. Soybean was harvested from the center two rows in each plot using a plot combine (Gleaner K2; AGCO, 4205 River Green Parkway, Duluth, GA). The combine had a row-crop header that can harvest two rows that are 76 cm apart, and included the HarvestMaster System equipped with Mirus Data collection software (Juniper Systems & HarvestMaster, Logan, UT) for determining seed weight. Grain yield was adjusted to 13% moisture content.

Statistical Analysis

Data were subjected to ANOVA using the PROC GLIMMIX procedure in SAS® version 9.3 (SAS Institute Inc., Cary, NC). In the model, years and treatments were considered fixed effects, whereas blocks, which were nested within years, were considered random effects. Data were tested for normality using PROC UNIVARIATE. Common waterhemp visual control estimates and percent biomass reduction data were arcsine square root transformed before analysis; however, back-transformed data are presented with mean separation based on transformed data. Individual treatment means were separated at the 5% level of significance using Fisher’s protected LSD test. To determine relative treatment efficacy for common waterhemp control, density, biomass reduction, and soybean yield, a priori orthogonal contrasts (single degree of freedom) were performed. Preplanned contrasts were conducted to compare one-pass POST to two-pass POST, and to compare POST-only to the PRE fb POST programs.

Results and Discussion

Year-by-treatment interactions for GR common waterhemp control estimates, density, and biomass, and soybean yield were not significant; therefore, data from both years were combined.

Common Waterhemp Control

Two-pass herbicide programs provided 78% control of common waterhemp, compared with 93% control with PRE fb POST programs, when averaged across treatments at 14 DALPOST (Table 3), indicating the importance of residual herbicides fb a late-POST glufosinate application for common waterhemp control. Two-pass POST herbicide programs provided 77% control, while the PRE fb POST program provided 90% control, when averaged across treatments at 14 DAEPOST. This is due to the excellent control of common waterhemp that can be achieved with residual herbicides applied PRE with a follow-up application of glufosinate when plants are less than 12 cm tall. Krausz and Young (Reference Krausz and Young2003) also reported 89% to 99% control of common waterhemp with sulfentrazone-based tank-mixtures applied PRE fb glyphosate in GR soybean.

Table 3 Orthogonal contrastsFootnote a for comparison of herbicide programs for glyphosate-resistant common waterhemp control, density, and biomass reduction and soybean yield in field experiments conducted near Fremont, Nebraska in 2013 and 2014.Footnote b

a a priori orthogonal contrasts.

b Abbreviations: DAEPOST, days after early-post-emergence herbicide treatment; DAPRE, days after pre-emergence herbicide treatment; DALPOST, days after late-post-emergence herbicide treatment; v., versus.

*Significant at P<0.05; ** significant at P<0.01.

Herbicides applied PRE resulted in 76% to 99% control of GR common waterhemp at 14 DAPRE (Table 4). Similarly, Aulakh and Jhala (Reference Aulakh and Jhala2015) reported ≥92% control of common waterhemp and common lambsquarters at 15 DAPRE, but no control using a POST-only herbicide program. Among PRE herbicides, flumioxazin plus cloransulam, chlorimuron plus thifensulfuron plus flumioxazin, S-metolachlor plus fomesafen, S-metolachlor or sulfentrazone plus metribuzin, and saflufenacil plus dimethenamid provided ≥98% control. Similar to the results of this study, Bell et al. (Reference Bell, Norsworthy, Scott and Popp2015) reported >99% control of Palmer amaranth 21 d after soybean planting when S-metolachlor plus metribuzin was applied PRE at the time of planting.

Table 4 Effect of PRE followed by POST herbicide programs on glyphosate-resistant common waterhemp control in glufosinate-resistant soybean at 14 d after PRE herbicide application, 14 d after early-POST herbicide application, 14 d after late-POST herbicide application, and at soybean harvest, in field experiments conducted near Fremont, Nebraska in 2013 and 2014.Footnote a , Footnote b

a Year-by-treatment interaction for glyphosate-resistant common waterhemp control was not significant; therefore, data were combined across the two years.

b Abbreviations: DAEPOST, d after early-POST herbicide application; DALPOST, d after late-POST herbicide application; DAPRE, d after PRE herbicide application; fb, followed by.

c Data were arcsine square root transformed before analysis; however, back-transformed original mean values are presented with the interpretation from the transformed data.

d Means presented within each column with no common letter(s) are significantly different according to Fisher’s protected LSD test at P≤0.05.

At 14 DAEPOST, the POST-only programs that we tested provided 71% to 82% control of common waterhemp (Table 5), while the PRE fb POST herbicide programs provided 71% to 99% control. This is likely due to the fact that when early-POST herbicides were applied, common waterhemp plants were 8 to 18 cm tall with a density of approximately 300 plants m─2, and therefore were less likely to be effectively controlled with a glufosinate-based herbicide program because the efficacy of glufosinate can be affected by weed height and density. For instance, Barnett et al. (Reference Barnett, Culpepper, York and Steckel2013) reported >90% control of Palmer amaranth when glufosinate was applied to 13-cm-tall plants, but <60% control when glufosinate was applied to 26-cm-tall plants. In a bare-ground study in Illinois, Steckel et al. (Reference Steckel, Wax, Simmons and Phillips1997) reported >80% control of giant foxtail (Setaria faberi Herrm.), common lambsquarters, common cocklebur (Xanthium strumarium L.), and Pennsylvania smartweed (Polygonum pensylvanicum L.) when glufosinate was applied at the 10-cm weed height, but <70% control at the 15-cm weed height. In contrast, Coetzer et al. (Reference Coetzer, Al-khatib and Peterson2002) reported 82% to 87% control at 4 wk after treatment with glufosinate applied alone at 410 g ai ha─1 when common waterhemp plants ranged from 2 to 18 cm tall.

Table 5 Effect of POST-only herbicide programs on glyphosate-resistant common waterhemp control in glufosinate-resistant soybean at 14 d after early-POST herbicide application, 14 d after late-POST herbicide application, and at soybean harvest, in field experiments conducted near Fremont, Nebraska in 2013 and 2014.Footnote a , Footnote b

a Year-by-treatment interaction for glyphosate-resistant common waterhemp control was not significant; therefore, data were combined across two years.

b Abbreviations: DAEPOST, d after early-POST herbicide application; DALPOST, d after late-POST herbicide application; fb, followed by.

c Data were arcsine square root transformed before analysis; however, back-transformed original mean values are presented with the interpretation from the transformed data.

d Means presented within each column with no common letter(s) are significantly different according to Fisher’s protected LSD test at P≤0.05.

Glufosinate applied alone resulted in 71% control, while glufosinate tank-mixed with acetochlor, imazethapyr, and/or fomesafen resulted in 75% to 82% control (Table 5). Similarly, Chahal and Johnson (Reference Chahal and Johnson2012) reported 78% to 84% control of GR common lambsquarters with glufosinate tank-mixed with 2,4-D or dicamba, but only 44% control with glufosinate applied alone. Aulakh and Jhala (Reference Aulakh and Jhala2015) reported <73% control of common waterhemp with glufosinate applied alone in GFR soybean. Among POST-only herbicide programs, a one-pass POST application of glufosinate plus fomesafen plus acetochlor plus imazethapyr, a program with four distinct modes of action, provided 58% control at 14 DALPOST, while two-pass POST herbicide programs provided 76% to 83% control (Table 5). These data suggest that including herbicides with multiple modes of action is not sufficient to achieve a high level of common waterhemp control, and that the application timing is critical. For example, at least five PRE fb POST herbicide programs with multiple modes of action provided 97% to 99% control at 14 DALPOST in this study (Table 4). Similarly, Bell et al. (Reference Bell, Norsworthy and Scott2016) reported ≥95% control of Palmer amaranth with flumioxazin plus pyroxasulfone applied PRE in GR and GFR soybean. Flumioxazin applied alone and S-metolachlor plus imazethapyr provided <62% control at harvest.

Averaged across treatments, a two-pass POST program provided 50% control of GR common waterhemp at harvest, while a one-pass POST program provided 19% control, indicating the failure of one- or two-pass POST herbicide programs to effectively control GR common waterhemp (Table 3). Aulakh and Jhala (Reference Aulakh and Jhala2015) also reported 65% to 81% control of common waterhemp with glufosinate-based one- or two-pass POST programs in GFR soybean. Contrast analysis of common waterhemp control estimates at soybean harvest suggest 82% control with PRE fb POST herbicide programs compared with 45% control with POST-only programs. In a study conducted in Nebraska, Sarangi (Reference Sarangi2016) reported 84% control of GR common waterhemp at soybean harvest in a PRE fb POST program, but only 42% control with a POST-only program. We found that PRE fb POST programs using chlorimuron plus thifensulfuron plus flumioxazin, S-metolachlor plus fomesafen or metribuzin, and saflufenacil plus dimethenamid fb glufosinate applied POST provided ≥95% control at soybean harvest. In a 2-yr study in Arkansas, Bell et al. (Reference Bell, Norsworthy, Scott and Popp2015) observed 86% to 95% Palmer amaranth control at harvest in GFR soybean with S-metolachlor plus metribuzin applied PRE fb glufosinate applied POST, but only 50% to 85% control with a POST-only program. The results of this study are consistent with several previous studies in suggesting that PRE fb POST programs are better for control of Amaranthus than POST-only programs (Aulakh and Jhala Reference Aulakh and Jhala2015; Bell et al. Reference Bell, Norsworthy, Scott and Popp2015; Reference Bell, Norsworthy and Scott2016; Butts et al. Reference Butts, Norsworthy, Kruger, Sandell, Young, Steckel, Loux, Bradley, Conley, Stoltenberg, Arriaga and Davis2016; Hager et al. Reference Hager, Wax, Bollero and Simmons2002b; Jhala et al. Reference Jhala, Malik and Willis2015; Johnson et al. Reference Johnson, Breitenbach, Behnken, Miller, Hoverstad and Gunsolus2012; Meyer et al. Reference Meyer, Norsworthy, Young, Steckel, Bradley, Johnson, Loux, Davis, Kruger, Bararpour, Ikley, Spaunhorst and Butts2015; Norsworthy et al. Reference Norsworthy, Ward, Shaw, Llewellyn, Nichols, Webster, Bradley, Frisvold, Powles, Burgos, Witt and Barrett2012; Sarangi Reference Sarangi2016).

Common Waterhemp Density and Biomass

Common waterhemp density and biomass were both affected by the herbicide programs evaluated (Tables 6 and 7). At 14 DAPRE, plots that received PRE herbicides had common waterhemp densities as low as 0 to 34 plants m─2. Similarly, Sarangi (Reference Sarangi2016) reported common waterhemp density of <35 plants m─2 at 21 d after PRE herbicide application compared with 323 to 391 plants m─2 with a POST-only program. Aulakh and Jhala (Reference Aulakh and Jhala2015) also reported 0 to 6 common waterhemp plants m─2 with several PRE programs, compared with 11 to 12 plants m─2 in a POST-only program 15 d after POST herbicides were applied.

Table 6 Effect of PRE followed by POST herbicide programs on glyphosate-resistant common waterhemp density and biomass reduction, and glufosinate-resistant soybean yield, in field experiments conducted near Fremont, Nebraska in 2013 and 2014.Footnote a , Footnote b

a Year-by-treatment interactions for glyphosate-resistant common waterhemp density and biomass reduction and soybean yield were not significant; therefore, data were combined across the two years.

b Abbreviations: DALPOST, d after late-POST herbicide application; DAPRE, d after PRE herbicide application; fb, followed by.

c Means presented within each column with no common letter(s) are significantly different according to Fisher’s protected LSD test at P≤0.05.

d Percent biomass reduction data were arcsine square root transformed before analysis; however, back-transformed original mean values are presented with the interpretation from the transformed data.

Table 7 Effect of POST-only herbicide programs on glyphosate-resistant common waterhemp density and biomass reduction and glufosinate-resistant soybean yield in field experiments conducted near Fremont, NE in 2013 and 2014.Footnote a , Footnote b

a Year-by-treatment interactions for glyphosate-resistant common waterhemp density and biomass reduction and soybean yield were not significant; therefore, data were combined across the two years.

b Abbreviations: DALPOST, d after late-POST herbicide application; DAPRE, d after PRE herbicide application; fb, followed by.

c Means presented within each column with no common letter(s) are significantly different according to Fisher’s protected LSD test at P≤0.05.

d Percent biomass reduction data were arcsine square root transformed before analysis; however, back-transformed original mean values are presented with the interpretation from the transformed data.

Common waterhemp densities at 28 DALPOST ranged from 88 to 124 plants m─2 with the POST-only program (Table 7), and ranged from 1 to 78 plants m─2 with PRE fb POST program (Table 6). Monthly precipitation ranging from 28 to 318 mm in June and July of 2013 and 2014 (Table 1) may have triggered the emergence of common waterhemp; Hartzler et al. (1999) reported that common waterhemp emergence can be enhanced if sufficient moisture is present in the soil. Among PRE fb POST programs, flumioxazin plus cloransulam, chlorimuron plus thifensulfuron plus flumioxazin, alachlor, S-metolachlor plus fomesafen or metribuzin, sulfentrazone plus metribuzin, and saflufenacil alone or with dimethenamid applied PRE fb glufosinate applied POST, was associated with the lowest density of common waterhemp (≤16 plants m─2), and in most cases provided ≥90% reduction in common waterhemp biomass at 28 DALPOST (Table 6). Legleiter et al. (Reference Legleiter, Bradley and Massey2009) reported common waterhemp density as low as 2 plants m─2 at 42 DAPOST with a PRE fb POST program, compared with 66 to 76 plants m─2 with a POST-only program. Averaged across treatments at 28 DALPOST, a POST-only program resulted in a common waterhemp density of 99 plants m─2 and a 53% reduction in waterhemp biomass, while a PRE fb POST program resulted in 23 plants m─2 and an 86% reduction in common waterhemp biomass. In an integrated management approach to resistant common waterhemp in Missouri, Schultz et al. (Reference Schultz, Myers and Bradley2015) reported >98% density reduction using a PRE fb POST herbicide programs across all row spacings, whereas the two-pass POST program provided 87%, 80%, and 50% density reduction in 19-, 38-, and 76-cm soybean row spacings, respectively.

Soybean Yield

The lowest soybean yield was obtained from the non-treated control (826 kg ha─1), and was comparable with a one-pass POST program (975 kg ha─1) (Table 7). It was clear that a one-pass POST program of glufosinate plus fomesafen plus imazethapyr plus acetochlor was insufficient to provide effective control due to the continuous emergence pattern of common waterhemp (Table 7). Averaged across treatments, two-pass POST programs provided 1,190 kg ha─1 soybean yield compared with 1,803 kg ha─1 with a PRE fb POST program (Table 3). Chlorimuron plus thifensulfuron plus flumioxazin, S-metolachlor plus fomesafen or metribuzin, or saflufenacil plus dimethenamid, applied PRE fb glufosinate applied POST provided 1,984 to 2,210 kg ha─1 soybean yield, the highest yields of all the treatments tested (Table 6). Bell et al. (Reference Bell, Norsworthy, Scott and Popp2015) also reported that the use of PRE herbicides improved soybean yield and economic returns compared with POST-only programs for control of Palmer amaranth in GFR soybean. Johnson et al. (Reference Johnson, Breitenbach, Behnken, Miller, Hoverstad and Gunsolus2012) further reported that a PRE fb POST program reduced the chance of crop yield loss due to weed interference because of the program’s ability to control early- as well as late-emerging weeds. No significant soybean injury was observed in any herbicide program (data not shown), indicating that all programs evaluated in this study were safe for GFR soybean if applied as per the label directions.

Practical Implications

The evolution of common waterhemp biotypes resistant to glyphosate and ALS- inhibitors, and their widespread occurrence in the Midwest, has resulted in a decrease in the number of effective POST herbicide options in GR soybean. Averaged across treatments, glufosinate-based one- or two-pass herbicide programs provided ≤50% control of GR common waterhemp at soybean harvest, while the PRE fb POST programs evaluated in this study provided 82% control (Table 3). Glufosinate should not be applied after the bloom stage in GFR soybean (Anonymous 2016), and the results of this study revealed that residual herbicides with multiple modes of action applied at soybean planting are a foundation of GR common waterhemp control. The results also suggest that a follow-up application of glufosinate can provide season-long control in GFR soybean. Additionally, using PRE herbicide combinations with multiple modes of action at soybean planting can effectively control Amaranthus, reducing the number of weeds exposed to POST herbicides and thus reducing the effects of selection pressure while improving the efficacy of POST herbicide(s) applied later in the season. Although not evaluated in this study, Aulakh and Jhala (Reference Aulakh and Jhala2015) reported that a residual herbicide such as acetochlor or pyroxasulfone can be tank-mixed with a POST glufosinate application for residual control of common waterhemp later in the season.

Herbicide programs in GFR soybean should not rely solely on glufosinate, because repeated applications of glufosinate in the same field may result in the evolution of glufosinate-resistant weeds. For instance, glufosinate-resistant Italian ryegrass (Lolium perenne L. ssp. multiflorum) in California (Avia-Garcia et al. Reference Avia-Garcia, Sanchez-Olguin, Hulting and Mallory Smith2012) and goosegrass [Eleusine indica (L.) Gaertn.] in Malaysia (Jalaludin et al. Reference Jalaludin, Ngim, Bali and Zazali2010) have been reported. Herbicide programs in GFR soybean have shown effective control of GR giant ragweed (Kaur et al. Reference Kaur, Sandell, Lindquist and Jhala2014), common waterhemp (Schultz et al. Reference Schultz, Myers and Bradley2015), Palmer amaranth (Butts et al. Reference Butts, Norsworthy, Kruger, Sandell, Young, Steckel, Loux, Bradley, Conley, Stoltenberg, Arriaga and Davis2016; Bell et al. Reference Bell, Norsworthy, Scott and Popp2015; Reference Bell, Norsworthy and Scott2016), johnsongrass [Sorghum halepense (L.) Pers.] (Johnson et al. Reference Johnson, Norsworthy and Scott2014), and volunteer corn (Chahal and Jhala Reference Chahal and Jhala2015). The results of this research indicate that there are herbicide programs capable of providing effective control of GR common waterhemp in GFR soybean that can be incorporated into existing cropping systems. Furthermore, multiple-herbicide-resistant soybean cultivars have been developed and tested, and will be available in the marketplace in the near future (Craigmyle et al. Reference Craigmyle, Ellis and Bradley2013a, Reference Craigmyle, Ellis and Bradley2013b; Spaunhorst et al. Reference Spaunhorst, Siefert-Higgins and Bradley2014). These crops can provide an additional tool for controlling the increasing numbers of GR weeds, including common waterhemp (Chahal et al. Reference Chahal, Aulakh, Rosenbaum and Jhala2015; Meyer et al. Reference Meyer, Norsworthy, Young, Steckel, Bradley, Johnson, Loux, Davis, Kruger, Bararpour, Ikley, Spaunhorst and Butts2015); however, more research is needed on herbicide programs that provide multiple effective modes of action with the judicious use of herbicide-resistant crop technology and other methods for integrated broad-spectrum weed control in order to achieve optimum crop yields in corn and soybean rotations.

Acknowledgments

The authors would like to thank Jordan Moody, Luke Baldridge, and Ethann Barnes for their help in this project, and Ian Rogers for editing the manuscript.

Footnotes

Associate Editor for this paper: Lawrence E. Steckel, University of Tennessee.

References

Literature Cited

Anderson, DD, Roeth, FW, Martin, AR (1996) Occurrence and control of triazine-resistant common waterhemp (Amaranthus rudis) in field corn (Zea mays). Weed Technol 10:570575 Google Scholar
Anonymous (2016) Liberty® 280 herbicide product label. Research Triangle Park, NC: Bayer Crop Science. 28 pGoogle Scholar
Aulakh, JS, Jhala, AJ (2015) Comparison of glufosinate-based herbicide programs for broad-spectrum weed control in glufosinate-resistant soybean. Weed Technol 29:419430 Google Scholar
Avia-Garcia, WV, Sanchez-Olguin, E, Hulting, AG, Mallory Smith, C (2012) Target site mutation associated with glufosinate-resistance in Italian ryegrass (Lolium perenne L. ssp. multiflorum). Pest Manag Sci 68:12481254 Google Scholar
Barnett, KA, Culpepper, SA, York, AC, Steckel, LE (2013) Palmer amaranth control by glufosinate plus flometuron applied postemergence to WideStrike® cotton. Weed Technol 27:291297 Google Scholar
Beckie, HJ (2006) Herbicide-resistant weeds: management tactics and practices. Weed Technol 20:793814 Google Scholar
Bell, HD, Norsworthy, JK, Scott, RC (2016) Integrating cereals and deep tillage with herbicide programs in glyphosate and glufosinate-resistant soybean for glyphosate-resistant Palmer amaranth management. Weed Technol 30:8598 Google Scholar
Bell, HD, Norsworthy, JK, Scott, RC, Popp, M (2015) Effect of raw spacing, seeding rate, and herbicide program in glufosinate-resistant soybean on Palmer amaranth management. Weed Technol 29:390404 Google Scholar
Bell, MS, Hager, AG, Tranel, PJ (2013) Multiple resistance to herbicides from four site-of-action groups in waterhemp (Amaranthus tuberculatus). Weed Sci 61:460468 Google Scholar
Bensch, CN, Horak, MJ, Peterson, D (2003) Interference of redroot pigweed (Amaranthus retroflexus), Palmer amaranth (A. palmeri), and common waterhemp (A. rudis) in soybean. Weed Sci 51:3743 Google Scholar
Bernards, ML, Crespo, RJ, Kruger, GR, Gaussoin, R, Tranel, PJ (2012) A waterhemp (Amaranthus tuberculatus) population resistant to 2,4-D. Weed Sci 60:379384 Google Scholar
Butts, TR, Norsworthy, JK, Kruger, GR, Sandell, LD, Young, BG, Steckel, LE, Loux, MM, Bradley, KW, Conley, SP, Stoltenberg, DE, Arriaga, FJ, Davis, VM (2016) Management of pigweeds (Amaranthus spp.) in glufosinate-resistant soybean in the Midwest and Mid-South. Weed Technol 30:355365 Google Scholar
Chahal, PS, Aulakh, JS, Rosenbaum, K, Jhala, AJ (2015) Growth stage affects dose response of selected glyphosate-resistant weeds to premix of 2,4-D choline and glyphosate (Enlist DuoTM herbicide). J Agric Sci 7:110 Google Scholar
Chahal, PS, Jhala, AJ (2015) Herbicide programs for control of glyphosate-resistant volunteer corn in glufosinate-resistant soybean. Weed Technol 29:431443 Google Scholar
Chahal, GS, Johnson, WG (2012) Influence of glyphosate or glufosinate combinations with growth regulator herbicides and other agrochemicals in controlling glyphosate-resistant weeds. Weed Technol 26:638643 Google Scholar
Coetzer, E, Al-khatib, K., Peterson, DE (2002) Glufosinate efficacy on Amaranthus species in glufosinate-resistant soybean. Weed Technol 16:326331 Google Scholar
Craigmyle, BD, Ellis, JM, Bradley, KW (2013a) Influence of herbicide programs on weed management in soybean with resistant to glufosinate and 2,4-D. Weed Technol 27:7884 Google Scholar
Craigmyle, BD, Ellis, JM, Bradley, KW (2013b) Influence of weed height and glufosinate and 2,4-D combinations on weed control in soybean with resistance to 2,4-D. Weed Technol 27:271280 Google Scholar
Culpepper, AS (2006) Glyphosate-induced weed shifts. Weed Technol 20:277281 Google Scholar
Hager, AG, Wax, LM, Stoller, EW, Bollero, GA (2002a) Common waterhemp interference in soybean. Weed Sci 50:607610 Google Scholar
Hager, AG, Wax, LM, Bollero, GA, Simmons, FW (2002b) Common waterhemp (Amaranthus rudis Sauer) management with soil-applied herbicides in soybean (Glycine max (L.) Merr.). Crop Prot 21:277283 Google Scholar
Hartzler, RG, Buhler, DD, Stoltenberg, DE (1999) Emergence characteristics of four annual weed species. Weed Sci 47:578584 Google Scholar
Hausman, NE, Singh, S, Tranel, PJ, Riechers, DE, Kaundun, SS, Polge, ND, Thomas, DA, Hager, AG (2011) Resistance to HPPD-inhibiting herbicides in a population of waterhemp (Amaranthus tuberculatus) from Illinois, United States. Pest Manag Sci 67:258261 Google Scholar
Heap, I (2016a) International Survey of Herbicide Resistant Weeds, Weeds Resistant to EPSP Synthase Inhibitors. http://weedscience.org/summary/moa.aspx?MOAID=12. Accessed June 12, 2016Google Scholar
Heap, I (2016b) International Survey of Herbicide Resistant Weeds, Herbicide Resistant Tall Waterhemp Globally. http://weedscience.org/summary/species.aspx?WeedID=219. Accessed June 12, 2016Google Scholar
Horak, MJ, Loughin, TM (2000) Growth analysis of four Amaranthus species. Weed Sci 48:347355 Google Scholar
Horak, MJ, Peterson, DE (1995) Biotypes of Palmer amaranth (Amaranthus palmeri) and common waterhemp (Amaranthus rudis) are resistant to imazethapyr and thifensulfuron. Weed Technol 9:192195 Google Scholar
Jalaludin, A, Ngim, J, Bali, BB, Zazali, A (2010) Preliminary findings of potentially resistant goosegrass (Eleusine indica) to glufosinate ammonium in Malaysia. Weed Biol Manag 10:256260 Google Scholar
Jhala, AJ (2016) Herbicide-resistant weeds. Pages 1819 in Knezevic SZ, Jhala AJ, Klein RN, Kruger GR, Reicher ZJ, Wilson RG, Shea PJ & Ogg CL eds, Guide for Weed, Disease, and Insect Management in Nebraska. Lincoln, NE: University of Nebraska–Lincoln Extension Google Scholar
Jhala, AJ, Malik, MS, Willis, JB (2015) Weed control and crop tolerance of micro-encapsulated acetochlor applied sequentially in glyphosate-resistant soybean. Can J Plant Sci 95:973981 Google Scholar
Johnson, DB, Norsworthy, JK, Scott, RC (2014) Herbicide programs for controlling glyphosate-resistant johnsongrass (Sorghum halepense) in glufosinate-resistant soybean. Weed Technol 28:1018 Google Scholar
Johnson, G, Breitenbach, F, Behnken, L, Miller, R, Hoverstad, T, Gunsolus, J (2012) Comparison of herbicide tactics to minimize species shifts and selection pressure in glyphosate-resistant soybean. Weed Technol 26:189194 Google Scholar
Kaur, S, Sandell, LD, Lindquist, JL, Jhala, AJ (2014) Glyphosate-resistant giant ragweed (Ambrosia trifida) control in glufosinate-resistant soybean. Weed Technol 28:569577 Google Scholar
Krausz, RF, Young, BG (2003) Sulfentrazone enhances weed control of glyphosate in glyphosate-resistant soybean (Glycine max). Weed Technol 17:249255 Google Scholar
Legleiter, TR, Bradley, KW (2008) Glyphosate and multiple herbicide resistance in common waterhemp (Amaranthus rudis) populations from Missouri. Weed Sci 56:582587 Google Scholar
Legleiter, TR, Bradley, KW, Massey, RE (2009) Glyphosate-resistant waterhemp (Amaranthus rudis) control and economic returns with herbicide programs in soybean. Weed Technol 23:5461 Google Scholar
Logusch, EW, Walker, DM, McDonald, JF, Franz, JE (1991) Inhibition of plant glutamine synthetases by substituted phosphinothricins. Plant Plysiol 95:10571062 Google Scholar
Meyer, CJ, Norsworthy, JK, Young, BG, Steckel, LE, Bradley, KW, Johnson, WG, Loux, MM, Davis, VM, Kruger, GR, Bararpour, MT, Ikley, JT, Spaunhorst, DJ, Butts, TR (2015) Herbicide program approaches for managing glyphosate-resistant Palmer amaranth and waterhemp in future soybean trait technologies. Weed Technol 29:716729 Google Scholar
[NOAA] National Ocean and Atmospheric Administration (2015) NOWData–NOAA Online Weather Data. http://w2.weather.gov/climate/xmacis.php?wfo=oax. Accessed July 15, 2015Google Scholar
Norsworthy, JK, Ward, SM, Shaw, DR, Llewellyn, RS, Nichols, RL, Webster, TM, Bradley, KW, Frisvold, G, Powles, SB, Burgos, NR, Witt, WW, Barrett, M (2012) Reducing the risks of herbicide resistance: best management practices and recommendations. Weed Sci 60:3162 Google Scholar
Owen, MDK (2008) Weed species shifts in glyphosate-resistant crops. Pest Manag Sci 64:377387 Google Scholar
Refsell, DE, Hartzler, RG (2009) Effect of tillage on common waterhemp (Amaranthus rudis) emergence and vertical distribution of seed in the soil. Weed Technol 23:129133 Google Scholar
Riar, DS, Norsworthy, JK, Steckel, LE, Stephenson, DO 4th, Eubank, TW, Scott, RC (2013) Assessment of weed management needs in midsouth United States soybean: a consultant’s perspective. Weed Technol 27:612622 Google Scholar
Rosenbaum, KK, Bradley, KW (2013) A survey of glyphosate-resistant waterhemp (Amaranthus rudis) in Missouri soybean fields and prediction of glyphosate resistance in future waterhemp populations based on in-field observations and management practices. Weed Technol 27:656663 Google Scholar
Sarangi, D (2016) Glyphosate-Resistant Common Waterhemp in Nebraska: Biology, Gene Flow, and Management. Ph.D. thesis. Lincoln, NE: University of Nebraska-LincolnGoogle Scholar
Sarangi, D, Irmak, S, Lindquist, JL, Knezevic, SZ, Jhala, AJ (2016) Effect of water stress on the growth and fecundity of common waterhemp (Amaranthus rudis). Weed Sci 64:4252 Google Scholar
Sarangi, D, Sandell, LD, Knezevic, SZ, Aulakh, JS, Lindquist, JL, Irmak, S, Jhala, AJ (2015) Confirmation and control of glyphosate-resistant common waterhemp (Amaranthus rudis) in Nebraska. Weed Technol 29:8292 Google Scholar
Schultz, JL, Myers, BD, Bradley, KW (2015) Influence of soybean seeding rate, row spacing, and herbicide programs on the control of resistant waterhemp in glufosinate-resistant soybean. Weed Technol 29:169176 Google Scholar
Sellers, BA, Smeda, RJ, Johnson, WG, Kending, JA, Ellersieck, MR (2003) Comparative growth of six Amaranthus species in Missouri. Weed Sci 51:329333 Google Scholar
Shoup, DE, Al-Khatib, K, Peterson, DE (2003) Common waterhemp (Amaranthus rudis) resistance to protoporphyrinogen oxidase-inhibiting herbicides. Weed Sci 51:145150 Google Scholar
Spaunhorst, DJ, Siefert-Higgins, S, Bradley, KW (2014) Glyphosate-resistant giant ragweed (Ambrosia trifida) and waterhemp (Amaranthus rudis) management in dicamba-resistant soybean (Glycine max). Weed Technol 28:131141 Google Scholar
Steckel, GJ, Wax, LM, Simmons, FW, Phillips, WH II (1997) Glufosinate efficacy on annual weeds is influenced by rate and growth stage. Weed Technol 11:484488 Google Scholar
Steckel, LE, Sprague, CL (2004) Common waterhemp (Amaranthus rudis) interference in corn. Weed Sci 52:359364 Google Scholar
Steckel, LE, Sprague, CL, Hager, AG, Simmons, FW, Bollero, GA (2003) Effects of shading on common waterhemp (Amaranthus rudis) growth and development. Weed Sci 51:898903 Google Scholar
VanGessel, MJ (2001) Glyphosate-resistant horseweed from Delaware. Weed Sci 49:703705 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 Google Scholar
Wiesbrook, ML, Johnson, WG, Hart, SE, Bradley, PR, Wax, LM (2001) Comparison of weed management systems in narrow-row, glyphosate- and glufosinate-resistant soybean (Glycine max). Weed Technol 15:122128 Google Scholar
Wild, A, Manderscheid, R (1984) The effect of phosphinothricin on the assimilation of ammonia in plants. Z Naturforsch 39:500504 Google Scholar
Wortman, SE (2014) Integrating weed and vegetable crop management with multifunctional air-propelled abrasive grits. Weed Technol 28:243252 Google Scholar
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 Google Scholar
Wu, C, Owen, MDK (2015) When is the best time to emerge─II: Seed mass, maturation, and after ripening of common waterhemp (Amaranthus tuberculatus) natural cohorts. Weed Sci 63:846854 Google Scholar
Young, B (2006) Changes in herbicide use patterns and production practices resulting from glyphosate-resistant crops. Weed Technol 20:301307 Google Scholar
Figure 0

Table 1 Monthly mean air temperature and total precipitation during the 2013 and 2014 growing seasons, along with the 30-yr average, at Fremont, Nebraska.a

Figure 1

Table 2 Details of herbicide treatments, application timings, and rates used for control of glyphosate-resistant common waterhemp in glufosinate-resistant soybean, in field experiments conducted in Nebraska in 2013 and 2014.

Figure 2

Table 3 Orthogonal contrastsa for comparison of herbicide programs for glyphosate-resistant common waterhemp control, density, and biomass reduction and soybean yield in field experiments conducted near Fremont, Nebraska in 2013 and 2014.b

Figure 3

Table 4 Effect of PRE followed by POST herbicide programs on glyphosate-resistant common waterhemp control in glufosinate-resistant soybean at 14 d after PRE herbicide application, 14 d after early-POST herbicide application, 14 d after late-POST herbicide application, and at soybean harvest, in field experiments conducted near Fremont, Nebraska in 2013 and 2014.a,b

Figure 4

Table 5 Effect of POST-only herbicide programs on glyphosate-resistant common waterhemp control in glufosinate-resistant soybean at 14 d after early-POST herbicide application, 14 d after late-POST herbicide application, and at soybean harvest, in field experiments conducted near Fremont, Nebraska in 2013 and 2014.a,b

Figure 5

Table 6 Effect of PRE followed by POST herbicide programs on glyphosate-resistant common waterhemp density and biomass reduction, and glufosinate-resistant soybean yield, in field experiments conducted near Fremont, Nebraska in 2013 and 2014.a,b

Figure 6

Table 7 Effect of POST-only herbicide programs on glyphosate-resistant common waterhemp density and biomass reduction and glufosinate-resistant soybean yield in field experiments conducted near Fremont, NE in 2013 and 2014.a,b