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Influence of adjuvants on hexazinone efficacy for smut grass (Sporobolus spp.) management

Published online by Cambridge University Press:  13 February 2026

Sudip Regmi
Affiliation:
Former Graduate Research Assistant, Range Cattle Research and Education Center and Department of Agronomy, University of Florida Institute of Food and Agricultural Sciences, Ona, FL, USA
Temnotfo Mncube
Affiliation:
Postdoctoral Research Associate, Range Cattle Research and Education Center and Department of Agronomy, University of Florida Institute of Food and Agricultural Sciences, Ona, FL, USA
Brent A. Sellers*
Affiliation:
Professor and Center Director, Range Cattle Research and Education Center and Department of Agronomy, University of Florida Institute of Food and Agricultural Sciences , Ona, FL, USA
Jose Dubeux
Affiliation:
Professor, North Florida Research and Education Center and Department of Agronomy, University of Florida Institute of Food and Agricultural Sciences, Marianna, FL, USA
Gregory MacDonald
Affiliation:
Professor, Department of Agronomy, University of Florida Institute of Food and Agricultural Sciences, Gainesville, FL, USA
Pratap Devkota
Affiliation:
Former Assistant Professor, West Florida Research and Education Center and Department of Agronomy, University of Florida Institute of Food and Agricultural Sciences, Jay, FL, USA
*
Corresponding author: Brent A. Sellers; Email: sellersb@ufl.edu
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Abstract

This research evaluated the influence of adjuvants on hexazinone efficacy for smut grass control in greenhouse and field conditions. The greenhouse experiment was established in 2023 with two runs, comprising hexazinone (1.12 kg ai ha−1) applied alone or with adjuvants (Grounded, NanoPro, and Sorbyx), and six simulated volumes of rain accumulation (0, 6, 12, 25, 50, and 100 mm). In field trials in 2022 and 2023, hexazinone (1.12 kg ai ha−1) was applied with various adjuvants (BREAK-THRU, Grounded, NanoPro, and Sorbyx) to a nontreated control and to small smut grass at Marianna, Florida, and to giant smut grass at Ona, Florida. In greenhouse experiments, all adjuvants added to hexazinone improved the herbicide’s efficacy, resulting in >78% control at 30 d after treatment (DAT), <50% biomass (% of the nontreated control 30 DAT), and little to no regrowth by 60 DAT. Applying hexazinone without an adjuvant resulted in <70% control at 30 DAT and >52% biomass, and regrowth by 60 DAT. Similarly, adding Grounded, NanoPro, and Sorbyx to hexazinone in field experiments resulted in a reduction in smut grass density of >63% reduction. However, adding BREAK-THRU to hexazinone did not enhance the herbicide’s efficacy. The adjuvants Grounded, NanoPro, and Sorbyx enhanced the effectiveness of hexazinone in both greenhouse and field experiments, indicating their potential for effective smut grass management.

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), 2026. Published by Cambridge University Press on behalf of Weed Science Society of America
Figure 0

Table 1. Total precipitation 7 d after treatment recorded using a rainfall data logger at Ona and Mariana, Florida, in 2022 and 2023.

Figure 1

Figure 1. Visual estimates of giant smut grass control 30 d after treatment in response to increasing rain accumulation volumes (0, 6, 12, 25, 50, and 100 mm) for each adjuvant, including hexazinone alone (no adjuvant). The predicted model for Grounded: y = −0.0096x2 + 0.4248x + 73.81 (R2 = 0.38); for NanoPro: y = −0.0120x2 + 0.7067x + 75.99 (R2 = 0.44); for Sorbyx: y = −0.01x2 + 1.0304x + 71.24 (R2 = 0.4); and for No adjuvant: y = −0.01x2 + 0.4736x + 60.54 (R2 = 0.34); where y = visual control (%) and x = rain accumulation volume in millimeters.

Figure 2

Table 2. Quadratic regression parameter estimates and rainfall range needed to achieve >80% control, <50% biomass, and <20% regrowth biomass of smut grass with hexazinone and adjuvants under greenhouse conditions.a–c

Figure 3

Figure 2. Dry biomass (% of nontreated control) of giant smut grass 30 d after treatment (DAT) in response to increasing rainfall accumulation volumes (0, 6, 12, 25, 50, and 100 mm) for each adjuvant, including hexazinone alone (No adjuvant). Predicted lines are plotted with the mean and standard error. The predicted model for Grounded: y = 0.0059x2 − 0.6778x + 55.03 (R2 = 0.16); for NanoPro: y = 0.0009x2 + 0.0115x + 47 (R2 = 0.03); for Sorbyx: y = −0.1755x2 + 0.0027x + 45.19 (R2 = 0.07); and for No adjuvant: y = 0.0048x2 − 0.5044x + 66.17 (R2 = 0.04); where y = smut grass biomass (% of untreated control) and x = rain accumulation volume in millimeters).

Figure 4

Figure 3. Biomass regrowth (% of nontreated control) of giant smut grass 60 d after treatment in response to increasing rain accumulation volumes (0, 6, 12, 25, 50, and 100 mm) for each adjuvant, including hexazinone alone (No adjuvant). Predicted lines are plotted with the mean and standard error. The predicted model for Grounded: y = 0.0109x2 − 1.0137x + 22.01 (R2 = 0.33); for NanoPro: y = 0.0132x2 − 1.1763x + 22.14 (R2 = 0.38); for Sorbyx: y = 0.0099x2 + 0.9748x + 20.52 (R2 = 0.35); and for No adjuvant: y = 0.0161x2 − 1.5852x + 41.20 (R2 = 0.3); where y = smut grass regrowth biomass (% of untreated control) and x = rainfall accumulation volume in millimeters).

Figure 5

Table 3. Small and giant smut grass density reduction with adjuvants.a–c

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