Control of Atrazine-Resistant Palmer Amaranth (<i>Amaranthus palmeri</i>) in Double-Crop Grain Sorghum

Hay, Marshall M.; Albers, Jeffrey J.; Dille, J. Anita; Peterson, Dallas E.

doi:10.1017/wet.2018.102

Cited by 3 publications

(8 citation statements)

References 24 publications

(24 reference statements)

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“…For example, atrazine + S ‐metolachlor + mesotrione increased the odds of successful waterhemp control by 458% (CI 2.62 to 11.92), whereas the odds of successful giant foxtail control increased by 114% (CI 1.33 to 3.43) compared with the individual herbicides alone. In previous studies comparing efficacy across seven or fewer environments, combinations of atrazine, acetochlor, S ‐metolachlor, and mesotrione often achieved greater control of common lambsquarters, giant foxtail, and waterhemp than that of the herbicides applied alone 13,35,36 …”

Section: Resultsmentioning

confidence: 99%

“…In previous studies comparing efficacy across seven or fewer environments, combinations of atrazine, acetochlor, S-metolachlor, and mesotrione often achieved greater control of common lambsquarters, giant foxtail, and waterhemp than that of the herbicides applied alone. 13,35,36 To prevent corn yield loss from weed interference, weeds must be controlled typically between emergence and the eight-leaf stage in corn. 37,38 To accomplish this, PRE herbicides and herbicide combinations are often used to control early-emerging weeds and increase the efficacy of subsequent chemical or mechanical weed control methods.…”

Section: Overcoming Weather Variability With Herbicide Combinations?mentioning

confidence: 99%

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Future efficacy of pre‐emergence herbicides in corn (Zea mays) is threatened by more variable weather

Landau

Hager

Tranel

et al. 2021

Pest Management Science

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BACKGROUND By 2050, weather is expected to become more variable with a shift towards higher temperatures and more erratic rainfall throughout the U.S. Corn Belt. The effects of this predicted weather change on pre‐emergence (PRE) herbicide efficacy have been inadequately explored. Using an extensive database, spanning 252 unique weather environments, the efficacy of atrazine, acetochlor, S‐metolachlor, and mesotrione, applied PRE alone and in combinations, was modeled on common weed species in corn (Zea mays L.). RESULTS Adequate rainfall to dissolve the herbicide into soil water solution so that it could be absorbed by developing weed seedlings within the first 15 days after PRE application was essential for effective weed control. Across three annual weed species, the probability of effective control increased as rainfall increased and was maximized when rainfall was 10 cm or more. When rainfall was less than 10 cm, increasing soil temperatures had either a positive or negative effect on the probability of effective control, depending on the herbicide(s) and weed species. Herbicide combinations required less rainfall to maximize the probability of effective control and had higher odds of successfully controlling weeds compared with the herbicides applied individually. CONCLUSIONS Results of this study highlight the importance of rainfall following PRE herbicide application. As rainfall becomes more variable in future, the efficacy of common PRE herbicides will likely decline. However, utilizing combinations of PRE herbicides along with additional cultural, mechanical, biological, and chemical weed control methods will create a more sustainable integrated weed management system and help U.S. corn production adapt to more extreme weather. © 2021 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

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Section: Resultsmentioning

confidence: 99%

Section: Overcoming Weather Variability With Herbicide Combinations?mentioning

confidence: 99%

Future efficacy of pre‐emergence herbicides in corn (Zea mays) is threatened by more variable weather

Landau

Hager

Tranel

et al. 2021

Pest Management Science

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“…Amaranthus palmeri populations have expanded well beyond their original native range in the southwestern United States and northern Mexico (Roberts and Florentine 2022;Ward et al 2013). This expansion was facilitated by natural and human mechanisms, including migratory waterfowl, native seed mixes for conservation plantings, and other agricultural practices (Bagavathiannan and Norsworthy 2016;Farmer et al 2017;Hartzler and Anderson 2016). The expansion of A. palmeri is also global, with populations in Africa, Asia, Europe, Oceania, and South America (Kistner and Hatfield 2018;Küpper et al 2017;Mennan et al 2021;Milani et al 2021;Sukhorukov et al 2021).…”

Section: Introductionmentioning

confidence: 99%

“…In Iowa, the first reported sighting of A. palmeri occurred in 2013 in Harrison County, located less than 10 km from the Missouri River and Nebraska (Hartzler and Anderson 2016). The field had been fallow for the spreading of waste from a fermentation plant in southern Nebraska, a region where A. palmeri was present.…”

Section: Introductionmentioning

confidence: 99%

Confirmation of a four-way herbicide-resistant Palmer amaranth (Amaranthus palmeri) population in Iowa

Hamberg,

Yadav,

Hartzler

et al. 2024

Weed Sci

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Palmer amaranth (Amaranthus palmeri S. Watson) was first reported in Iowa in 2013 and has continued to spread across the state over the last decade. Importantly, A. palmeri is widely recognized as one of the more economically important weeds in production agriculture. The presence of A. palmeri in Iowa is concerning as the species has evolved resistance to nine herbicide sites of action, however, no formal characterization has been conducted on Iowa populations. Therefore, herbicide assays were conducted on an A. palmeri population collected in Harrison County, Iowa in 2023 (Southwest Palmer Amaranth, SWPA) and a known herbicide-susceptible population collected from Nebraska in 2001 (Palmer Amaranth Susceptible, PAS). The two populations were treated with preemergence and postemergence herbicides commonly used in Iowa. The treatments included preemergence applications of atrazine, metribuzin, and mesotrione and postemergence applications of atrazine, imazethapyr, glyphosate, lactofen, mesotrione, glufosinate, 2,4-D and dicamba at 1x and 4x the labeled rates. Survival frequency of SWPA was >90% when treated postemergence with 1x rates of imazethapyr, atrazine, glyphosate, and mesotrione compared to ≤6% for PAS. Both SWPA and PAS had 0% survival when treated with lactofen, glufosinate, 2,4-D, and dicamba at the 1x or 4x rates. Plant population density reduction for SWPA was 53% and 40% in response to 1x rates of preemergence-applied mesotrione and atrazine, respectively. Metribuzin applied preemergence reduced SWPA plant population density by >90% at both rates. Dose-response experiments revealed the 50% effective doses (ED50) of mesotrione, glyphosate, imazethapyr, and atrazine for SWPA were 9.5-,8.5-, 71- and 40-fold greater than for PAS, respectively. The results confirm that SWPA is four-way multiple herbicide-resistant. Amaranthus palmeri infestations are likely to continue to spread within Iowa, therefore diversified weed management programs that include early detection, rapid response, and effective multi-tactic management strategies will be required for control.

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“…A density of 10 plants m -1 resulted in a soybean yield reduction of 68% (Klingaman and Oliver, 1994). Studies have demonstrated that Palmer amaranth caused economic yield loss in many other crop species, including cotton (Berger et al, 2015;Norsworthy et al, 2014), corn (Massinga et al, 2001;Massinga and Currie, 2002;Wiggins et al, 2015), and sorghum (Besançon et al, 2017;Hay et al, 2019).…”

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confidence: 99%

Palmer Amaranth (Amaranthus palmeri S. Watson) and Soybean (Glycine max L.) Classification in Greenhouse Using Hyperspectral Imaging and Chemometrics Methods

Costa¹,

Howatt²,

Ram³

et al. 2022

Journal of the ASABE

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HighlightsHyperspectral image processing was used to classify Palmer amaranth and soybean species.Chemometrics methods (PCA, PLS-DA, and SIMCA) were used to extract features and establish classification models.Abstract. Herbicide-resistant weed species are one of the largest threats to modern agriculture, as ineffective weed control results in significant yield losses or increased costs through alternatives such as mechanical methods. Palmer amaranth (Amaranthus palmeri S. Watson) has been one of the most troublesome weeds. Its identification through the adoption of site-specific weed management systems will help farmers select more appropriate control options to reduce costs and improve efficacy, resulting in increased farm revenue. In this study, a pixel-wised method was evaluated for the classification of Palmer amaranth and soybean (Glycine max L.). A pushbroom hyperspectral imagery acquisition system was used to collect imagery from 224 spectral bands ranging from 400 to 1000 nm. Greenhouse experiments were conducted in three different runs. Greenhouse-grown plants were evaluated to generate predictive models from paired samples generated with 56 replications in each run. Data collection occurred weekly when Palmer amaranth plants were between approximately 2.5 and 12.7 cm tall. Partial least squares discriminant analysis (PLS-DA) and soft independent modeling of class analogy (SIMCA) were tested to classify Palmer amaranth and soybean. Half of the dataset (Palmer amaranth = 42, soybean = 42) was used to train the models, and the other half (Palmer amaranth = 42, soybean = 42) was used to test model performance. Preliminary results showed that the PLS-DA model with PLS factors as input had a cumulative variation (R2Y(cum)) of 60% and predictive ability (Q2Y(cum)) of 60%. The SIMCA model showed a cumulative variation of 85% and a predictive ability of 82%. Overall, this study illustrated the capability of hyperspectral imagery to classify Palmer amaranth and soybean, which will increase the efficiency of weed control in modern agriculture. Keywords: Chemometrics methods, Hyperspectral imaging, Palmer amaranth classification.

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Control of Atrazine-Resistant Palmer Amaranth (Amaranthus palmeri) in Double-Crop Grain Sorghum

Cited by 3 publications

References 24 publications

Future efficacy of pre‐emergence herbicides in corn (Zea mays) is threatened by more variable weather

Future efficacy of pre‐emergence herbicides in corn (Zea mays) is threatened by more variable weather

Confirmation of a four-way herbicide-resistant Palmer amaranth (Amaranthus palmeri) population in Iowa

Palmer Amaranth (Amaranthus palmeri S. Watson) and Soybean (Glycine max L.) Classification in Greenhouse Using Hyperspectral Imaging and Chemometrics Methods

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