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Relative Activity of Four Triclopyr Formulations

Published online by Cambridge University Press:  13 October 2017

José Luiz C. S. Dias*
Affiliation:
Graduate Student and Professor, Agronomy Department, University of Florida Range Cattle Research and Education Center, 3401 Experiment Station, Ona, FL 33865
Afsari Banu
Affiliation:
Graduate Student and Associate Professor, Center for Aquatic and Invasive Plants, 7922 NW 71st Street, Gainesville, FL 32653
Benjamin P. Sperry
Affiliation:
Graduate Student and Professor, Agronomy Department, University of Florida, P.O. Box 110500, Gainesville, FL 32611
Stephen F. Enloe
Affiliation:
Graduate Student and Associate Professor, Center for Aquatic and Invasive Plants, 7922 NW 71st Street, Gainesville, FL 32653
Jason A. Ferrell
Affiliation:
Graduate Student and Professor, Agronomy Department, University of Florida, P.O. Box 110500, Gainesville, FL 32611
Brent A. Sellers
Affiliation:
Graduate Student and Professor, Agronomy Department, University of Florida Range Cattle Research and Education Center, 3401 Experiment Station, Ona, FL 33865
*
*Corresponding author’s E-mail: jdias@ufl.edu
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Abstract

Triclopyr is a synthetic auxin herbicide currently available as a triethylamine salt, butoxyethyl ester, pyridinyloxyacetic acid, or choline salt. The formulation of a herbicide has the potential to impact its activity; therefore, the objective of this study was to determine the relative activity of these four triclopyr formulations. Greenhouse dose–response studies were conducted twice at the University of Florida in 2015. The four formulations were foliar applied at rates ranging from 17 to 1,121 g ae ha−1 to 2- to 3-leaf soybean, sunflower, tomato, and cotton. The amine salt formulation provided the lowest ED50 values in tomato and sunflower (22.87 and 60.39 g ha−1, respectively); whereas in soybean, amine and choline formulations provided the lowest ED50 values (22.56 and 20.95 g ha−1, respectively). No differences between formulations were observed in cotton. These data suggest that (1) the amine salt formulation of triclopyr might be more active than the others on tomato and sunflower, and (2) the amine and choline salt formulations might be more active than the others on soybean. Further work must be conducted to determine whether there are differences among these formulations under a range of field conditions and target species. In addition, other important management factors such as applicator safety, volatility potential, and cost should be considered when choosing the best formulated product to be applied.

Information

Type
Weed Management-Techniques
Copyright
© Weed Science Society of America, 2017 
Figure 0

Figure 1 Aboveground fresh weight reduction of soybean in response to four triclopyr formulations 20 d after treatment. Triclopyr ester, amine, acid, and choline were applied at 0, 17, 34, 67, 140, 280, 561, and 1,121 g ae ha−1. A three-parameter logistic regression model of Y=d/1+exp[b(log x−log e)] was used to fit the data.

Figure 1

Table 1 Parameter estimates (±SE) in soybean, tomato, sunflower, and cotton with the use of a log-logistic model.a

Figure 2

Figure 2 Aboveground fresh weight reduction of tomato in response to four triclopyr formulations 20 d after treatment. Triclopyr ester, amine, acid, and choline were applied at 0, 17, 34, 67, 140, 280, 561, and 1,121 g ae ha−1. A three-parameter logistic regression model of Y=d/1+exp[b(log x−log e)] was used to fit the data.

Figure 3

Figure 3 Aboveground fresh weight reduction of sunflower in response to four triclopyr formulations 20 d after treatment. Triclopyr ester, amine, acid, and choline were applied at 0, 17, 34, 67, 140, 280, 561, and 1,121 g ae ha−1. A three-parameter logistic regression model of Y=d/1+exp[b(log x−log e)] was used to fit the data.

Figure 4

Figure 4 Aboveground fresh weight reduction of cotton in response to four triclopyr formulations 20 d after treatment. Triclopyr ester, amine, acid, and choline were applied at 0, 17, 34, 67, 140, 280, 561, and 1,121 g ae ha−1. A three-parameter logistic regression model of Y=d/1+exp[b(log x−log e)] was used to fit the data.