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Impact of glyphosate, imazapic, and metsulfuron on bahiagrass, vaseygrass, and guineagrass control

Published online by Cambridge University Press:  27 August 2025

Courtney L. Darling
Affiliation:
Graduate Research Assistant, Department of Agronomy, Range Cattle Research and Education Center, Institute of Food and Agricultural Sciences, University of Florida, Ona, FL, USA
Temnotfo L. Mncube
Affiliation:
Postdoctoral Research Associate, Department of Agronomy, Range Cattle Research and Education Center, Institute of Food and Agricultural Sciences, University of Florida, Ona, FL, USA
Brent A. Sellers*
Affiliation:
Professor and Center Director, Department of Agronomy, Range Cattle Research and Education Center, Institute of Food and Agricultural Sciences, University of Florida, Ona, FL, USA
Jason A. Ferrell
Affiliation:
Professor and Director, Department of Agronomy, Center for Aquatic and Invasive Plants, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, FL, USA
Dennis C. Odero
Affiliation:
Associate Professor, Department of Agronomy, Everglades Research and Education Center, Institute of Food and Agricultural Sciences, University of Florida, Belle Glade, FL, USA
Jose C. Dubeux
Affiliation:
Professor, Department of Agronomy, North Florida Research and Education Center, Institute of Food and Agricultural Sciences, University of Florida, Marianna, FL, USA
*
Corresponding author: Brent A. Sellers; Email: sellersb@ufl.edu
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Abstract

Bahiagrass, guineagrass, and vaseygrass are dominant weeds in bermudagrass pastures. Chemical control of these weeds is difficult, as some herbicides damage bermudagrass. The objectives of this study were to assess the effect of glyphosate and glyphosate mixes with imazapic and nicosulfuron + metsulfuron on bahiagrass control and to evaluate the effect of glyphosate and/or imazapic and nicosulfuron + metsulfuron on guineagrass and vaseygrass control under greenhouse conditions. Bahiagrass field trials were conducted in Citra and Ona, FL, in 2016 and 2018, respectively, while greenhouse experiments were conducted in Ona in 2017 and 2018. Glyphosate tank mixes reduced bahiagrass biomass in Ona, whereas at Citra, biomass reduction did not differ between treatments, although visual estimates of control were lowest with glyphosate at 0.28 kg ae ha−1. Results from the greenhouse experiment show that 0.38 and 0.50 kg ae ha−1 of glyphosate were needed to achieve 80% (ED80) control at 30 d after treatment (DAT), whereas 0.60 and 0.47 kg ae ha−1 were required to reduce 80% biomass of guineagrass and vaseygrass at 60 DAT, respectively. Vaseygrass needed lower imazapic rates (0.05 and 0.19 kg ae ha−1) for ED80 control (visual estimates) and biomass reduction, respectively, whereas guineagrass required higher doses (0.31 and 0.28 kg ae ha−1 for visual estimates of control and biomass reduction, respectively). Glyphosate at 0.56 kg ae ha−1, glyphosate + imazapic, or nicosulfuron + metsulfuron reduced guineagrass biomass, whereas imazapic only, glyphosate tank mixes, and nicosulfuron + metsulfuron resulted in the highest vaseygrass biomass reduction. Glyphosate and glyphosate tank mixes were consistent in controlling all grasses, yet imazapic was effective at higher rates for guineagrass.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of Weed Science Society of America
Figure 0

Table 1. Effect of glyphosate and glyphosate tank mixes on bahiagrass control and biomass at Citra and Ona, FL, in 2016 and 2018, respectively.a,b,c

Figure 1

Figure 1. Visual estimates of control (%) of guineagrass and vaseygrass at 15 and 30 d after treatment (DAT) in response to glyphosate rates under greenhouse conditions in 2017 and 2018. Solid and dashed lines represent predicted values. Data were fit to a four-parameter log-logistic regression model, Y = c + {dc/1 + exp[b(log (x) – log(e)]}, where Y is visual estimates of guineagrass or vaseygrass control, x is glyphosate application rate (kg ae ha−1), b is the relative slope at the inflection point, d is the upper limit of the curve, c is the lower limit of the curve, and e is the fitted line’s inflection point (ED80).

Figure 2

Table 2. Log-logistic regression parameter estimates for visual control at 15 and 30 d after treatment (DAT) and biomass at 30 and 60 DAT of guineagrass and vaseygrass experiments under greenhouse conditions in Ona, FL, in 2017 and 2018.a,b,c

Figure 3

Figure 2. Biomass reduction (%) at 30 and 60 DAT of guineagrass and vaseygrass in response to glyphosate rates under greenhouse conditions in 2017 and 2018. Solid and dashed lines represent predicted values. Data were fit to a four-parameter log-logistic regression model, as given in Figure 1.

Figure 4

Figure 3. Visual estimates of control (%) of guineagrass and vaseygrass at 15 and 30 DAT in response to imazapic rates under greenhouse conditions in 2017 and 2018. Solid and dashed lines represent predicted values. Data were fit to a three-parameter log-logistic regression model, Y = 0 + {d − 0/1 + exp[b(log(x) − log(e)]}, where Y is visual estimates of guineagrass or vaseygrass control, x is glyphosate application rate (kg ae ha−1), b is the relative slope at the inflection point, d is the upper limit of the curve, and e is the fitted line’s inflection point (ED80).

Figure 5

Figure 4. Biomass reduction (%) at 30 and 60 DAT of guineagrass and vaseygrass in response to imazapic rates under greenhouse conditions in 2017 and 2018. Solid and dashed lines represent predicted values. Data were fit to a three-parameter log-logistic regression model, as described in Figure 3.

Figure 6

Table 3. Effect of herbicide tank mixes on guineagrass under greenhouse conditions in Ona, FL, in 2017 and 2018.a,b,c

Figure 7

Table 4. Effect of glyphosate and glyphosate tank mixes on control of vaseygrass under greenhouse conditions in Ona, FL, in 2017 and 2018.a,b,c