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Determination of optimum metam-potassium rate for weed, tomato, and pepper termination

Published online by Cambridge University Press:  11 June 2020

Kshitij Khatri
Affiliation:
Graduate Student, University of Florida–Gulf Coast Research and Education Center, Wimauma, FL, USA
Nathan S. Boyd*
Affiliation:
Associate Professor, University of Florida–Gulf Coast Research and Education Center, Wimauma, FL, USA
*
Author for correspondence: Nathan S. Boyd, University of Florida–Gulf Coast Research and Education Center, 14625 County Road 672, Wimauma, FL 33598 Email: nsboyd@ufl.edu
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Abstract

Metam potassium (metam-K) is a soil fumigant used commonly in Florida at the end of the tomato and pepper production season. The fumigant essentially cleans a field by killing the established weeds and crops after harvest. The goal of this project was to determine the optimal rate of metam-K for the effective termination of tomato, pepper, and established weeds such as purple nutsedge, goosegrass, and dogfennel. Tomato, pepper, and purple nutsedge at bed center were effectively terminated with the metam-K rate of 65 kg ha−1. Optimal rates required for the termination of goosegrass and dogfennel were 91 and 156 kg ha−1, respectively. In contrast, metam-K at 500 to 680 kg ha−1 was required to terminate purple nutsedge on bed edges. The reduced efficacy of metam-K at bed edge might be related to the limited movement of metam-K in soil.

Information

Type
Research Article
Copyright
© Weed Science Society of America, 2020
Figure 0

Table 1. Estimates from regression analysisa for 50% (ER50) and 90% (ER90) tomato and purple nutsedge injury in tomato termination experiments.

Figure 1

Figure 1. Tomato (A) and purple nutsedge in the bed center (B) injury at 7 d after drip injection of metam potassium. Data points are mean percentage injury for each treatment and error bar represents variation between replications. Regression lines are based on exponential rise growth equation model, y = a {1 − [e^(−bx)]}, where y is the response variable, a is the asymptote, b is the slope estimate, and x is fumigant (metam-K) application rate.

Figure 2

Figure 2. Purple nutsedge injury on the bed edge at 7 (A) and 14 (B) d after drip injection of metam potassium. Data points are mean percentage injury for each treatment and error bar represents variation between replications. Regression lines are based on exponential rise growth equation model, y = a {1 − [e^(−bx)]}, where y is the response variable, a is the asymptote, b is the slope estimate, and x is fumigant (metam-K) application rate.

Figure 3

Figure 3. Pepper (A) and purple nutsedge in the bed center (B) injury at 7 d after drip injection of metam potassium. Data points are mean percentage injury for each treatment and error bar represents variation between replications. Regression lines are based on exponential rise growth equation model, y = a {1 − [e^(−bx)]}, where y is the response variable, a is the asymptote, b is the slope estimate, and x is fumigant (metam-K) application rate.

Figure 4

Table 2. Estimates from regression analysisa for 50% (ER50) and 90% (ER90) the injury of pepper, purple nutsedge, goosegrass, and dogfennel in pepper termination experiments.

Figure 5

Figure 4. Purple nutsedge injury on the bed edge at 7 (A) and 14 (B) d after drip injection of metam potassium. Data points are mean percentage injury for each treatment and error bar represents variation between replications. Regression lines are based on exponential rise growth equation model, y = a {1 − [e^(−bx)]}, where y is the response variable, a is the asymptote, b is the slope estimate, and x is fumigant (metam-K) application rate.

Figure 6

Figure 5. Goosegrass injury at 7 (A) and 14 (B) d after drip injection of metam potassium. Data points are mean percentage injury for each treatment and error bar represents variation between replications. Regression lines are based on exponential rise growth equation model, y = a {1 − [e^(−bx)]}, where y is the response variable, a is the asymptote, b is the slope estimate, and x is fumigant (metam-K) application rate.

Figure 7

Figure 6. Dogfennel injury at 7 (A) and 14 (B) d after drip injection of metam potassium. Data points are mean percentage injury for each treatment and error bar represents variation between replications. Regression lines are based on exponential rise growth equation model, y = a {1 − [e^(−bx)]}, where y is the response variable, a is the asymptote, b is the slope estimate, and x is fumigant (metam-K) application rate.