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Purple Nutsedge (Cyperus rotundus) Tuber Production and Viability Are Reduced by Imazapic

Published online by Cambridge University Press:  30 December 2016

Theodore M. Webster
Affiliation:
Supervisory Research Agronomist, Crop Protection and Management Research Unit, USDA–ARS, Tifton, GA 31794
Timothy L. Grey*
Affiliation:
Professor, Department of Crop and Soil Sciences, University of Georgia, Tifton, GA 31794
Jason A. Ferrell
Affiliation:
Professor, Department of Agronomy, University of Florida, Gainesville, FL 32611
*
*Corresponding author’s E-mail: tgrey@uga.edu
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Abstract

Weeds exploit underutilized space, causing economic losses in cropping systems. Weed management tactics alter that underutilized space until the crop can mature and efficiently use that space. One tactic is to reduce the weed propagules (e.g., seeds and tubers) that persist quiescently in the soil, which includes minimizing production and addition of new propagules to the soil. Purple nutsedge is a problematic weed around the globe, persisting between growing seasons as tubers in the soil. Imazapic is a peanut herbicide often used in Georgia for control of purple nutsedge. The objective of the experiment was to evaluate the effect of various rates of imazapic on purple nutsedge tuber production. Single presprouted purple nutsedge tubers were transplanted into outdoor microplots and treated after 6 wk of growth with six rates of imazapic (5 to 140 g ai ha−1) POST. A nontreated control was included. All emerged shoots at the time of application were marked with plastic rings; this allowed for classification of tubers at exhumation as (1) tubers attached to shoots that were emerged at time of application, (2) tubers attached to shoots that emerged after application, and (3) tubers without an aerial shoot during the study. At 7 wk after application, the tubers in the microplots were exhumed, classified, and quantified, and their ability to sprout was evaluated. In the nontreated control, there were 544 total tubers, with a log-logistic regression model describing the declining tuber population with increasing imazapic rate. The rate of imazapic that reduced total tuber population 50% (I50) was 36 g ha−1. In the nontreated control, there were 161 tubers attached to shoots that emerged, as when compared with plots that received an imazapic application that had an I50=60 g ha−1. Viability of purple nutsedge tubers was 44% at 70 g ha−1 imazapic, suggesting the action of the herbicide may have rendered the tubers nonviable after new shoots were produced. The final classification of tubers included those that did not have an aerial shoot during the study. These were tubers in which apical dominance suppressed shoot development or were likely the most recent tubers to develop. Of the three classes, the tubers without shoots were the most prevalent in the nontreated control, with 358 tubers and an I50=18 g ha−1. Imazapic controls purple nutsedge foliage but also reduces the number of new tubers produced, and overall tuber viability and is a valuable tool in management of the long-term population density of this weed.

Information

Type
Weed Biology and Ecology
Copyright
© Weed Science Society of America, 2016 
Figure 0

Figure 1 The relationship between rate of imazapic and a visual rating of foliar chlorosis at 7 weeks after imazapic treatment. Each treatment mean is combined over replications and years, with the vertical lines around each treatment mean representing the standard errors. The parameters of the log-logistic regression equation are found in Table 1.

Figure 1

Table 1 Parameter estimates and their standard errors from the log-logistic regression modelsa relating to purple nutsedge foliar response to rate of imazapic in Figures 1, 2, and 3.

Figure 2

Figure 2 The log-logistic relationship between dry shoot biomass at the conclusion of the season and rate of imazapic. Each treatment mean is combined over replications and years, with the vertical lines around each treatment mean representing the standard errors. The parameters of the regression equation are in Table 1.

Figure 3

Figure 3 The relationship between rate of imazapic and foliar area (measured by the number of green pixels) expressed as a percent of the nontreated control at 7 weeks after imazapic treatment. Each treatment mean is combined over replications and years, with the vertical lines around each treatment mean representing the standard errors. The parameters of the log-logistic regression equation are in Table 1.

Figure 4

Figure 4 The log-logistic relationship between imazapic rate and total tuber number (A), number of tubers with emerged aerial shoots at the time of imazapic application (B), number of tubers with aerial shoots that emerged following imazapic application (C), and number of tubers without aerial shoots (D). Each treatment mean is combined over replications and years, with the vertical lines around each treatment mean representing the standard errors. The parameters of the regression equation are in Table 2.

Figure 5

Table 2 Parameter estimates and their standard errors of the log-logistic regression modelsa that relate purple nutsedge tuber response to rate of imazapic in Figures 4, 5, and 6.

Figure 6

Figure 5 The log-logistic relationship between imazapic rate and total tuber biomass (A), biomass of tubers with aerial shoots at the time of imazapic application (B), biomass of tubers with aerial shoots that emerged following imazapic application (C), and biomass of tubers without aerial shoots (D). Each treatment mean is combined over replications and years, with the vertical lines around each treatment mean representing the standard errors. The parameters of the regression equation are in Table 2.

Figure 7

Figure 6 The log-logistic relationship between imazapic rate and viability of all tubers (A), viability of marked tubers (B), viability of tubers with aerial shoots that emerged following imazapic application (C), and viability of tubers without aerial shoots (D). Each treatment mean is combined over replications and years, with the vertical lines around each treatment mean representing the standard errors. The parameters of the regression equation are in Table 2.

Figure 8

Figure 7 The correlation between the biomass of tubers and the biomass of emerged shoots for all treatments. y=4.5x−13.5,r=0.86 (P≤ 0.001).