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Preemergence herbicide delays the critical time of weed removal in popcorn

Published online by Cambridge University Press:  31 July 2019

Ethann R. Barnes
Affiliation:
Graduate Research Assistant, Department of Agronomy and Horticulture, University of Nebraska–Lincoln, Lincoln, NE, USA
Stevan Z. Knezevic
Affiliation:
Professor, Northeast Research and Extension Center, Haskell Agricultural Laboratory, University of Nebraska–Lincoln, Concord, NE, USA
Nevin C. Lawrence
Affiliation:
Assistant Professor, Panhandle Research and Extension Center, University of Nebraska–Lincoln, Scottsbluff, NE, USA
Suat Irmak
Affiliation:
Harold W. Eberhard Distinguished Professor, Department of Biological Systems Engineering, University of Nebraska–Lincoln, Lincoln, NE, USA
Oscar Rodriguez
Affiliation:
Professor, Department of Agronomy and Horticulture, University of Nebraska–Lincoln, Lincoln, NE, USA
Amit J. Jhala*
Affiliation:
Associate Professor, Department of Agronomy and Horticulture, University of Nebraska–Lincoln, Lincoln, NE, USA
*
Author for correspondence: Amit J. Jhala, PhD, Department of Agronomy and Horticulture, University of Nebraska–Lincoln, 279 Plant Science Hall, PO Box 830915, Lincoln, NE 68583. Email: Amit.Jhala@unl.edu
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Abstract

Understanding the critical time of weed removal (CTWR) is necessary for designing effective weed management programs in popcorn production that do not result in yield reduction. The objective of this study was to determine the CTWR in popcorn with and without a premix of atrazine and S-metolachlor applied PRE. Field experiments were conducted at the University of Nebraska–Lincoln, South Central Agricultural Laboratory near Clay Center, NE in 2017 and 2018. The experiment was laid out in a split-plot design with PRE herbicide as the main plot and weed removal timing as the subplot. Main plots included no herbicide or atrazine/S-metolachlor applied PRE. Subplot treatments included a weed-free control, a non-treated control, and weed removal timing at V3, V6, V9, V15, and R1 popcorn growth stages and then kept weed free throughout the season. A four-parameter log-logistic function was fitted to percentage popcorn yield loss and growing degree days separately to each main plot. The number of growing degree days, when 5% yield loss was achieved, was extracted from the model and compared between main plots. The CTWR was from the V4 to V5 popcorn growth stage in absence of PRE herbicide. With atrazine/S-metolachlor applied PRE, the CTWR was delayed until V10 to V15. It is concluded that, to avoid yield loss, weeds must be controlled before the V4 popcorn growth stage when no PRE herbicide is applied, and PRE herbicide, such as atrazine/S-metolachlor in this study, can delay the CTWR until the V10 growth stage.

Information

Type
Research Article
Copyright
© Weed Science Society of America, 2019 
Figure 0

Table 1. Average air temperature, total precipitation, and irrigation during 2017 and 2018 growing seasons and the 30-yr average at the University of Nebraska–Lincoln South Central Agricultural Laboratory near Clay Center, NE.a

Figure 1

Table 2. Weed composition and average density with and without atrazine/S-metolachlor applied PRE (2,470 g ai ha−1) in a field experiment conducted at the University of Nebraska–Lincoln, South Central Agricultural Laboratory near Clay Center, NE, in 2017 and 2018.

Figure 2

Table 3. Total weed biomass, individual species contribution to total weed biomass, and individual species height at the R1 popcorn growth stage with and without atrazine/S-metolachlor applied PRE (2,470 g ai ha−1) in a field experiment conducted at the University of Nebraska–Lincoln, South Central Agricultural Laboratory near Clay Center, NE, in 2017 and 2018.

Figure 3

Figure 1. Popcorn yield (kg ha−1) in response to increasing duration of weed interference as represented by Celsius growing degree days (GDD) after emergence in popcorn with and without atrazine/S-metolachlor applied PRE (2,470 g ai ha−1) in (A) 2017 and (B) 2018 in a field experiment conducted at the University of Nebraska–Lincoln, South Central Agricultural Laboratory near Clay Center, NE. Regression lines represent the fit of a four-parameter log-logistic model.

Figure 4

Table 4. Parameter estimates and SEs of the four-parameter log-logistic model, root mean square error, and modeling efficiency for popcorn yield with and without atrazine/S-metolachlor applied PRE in a field experiment conducted at the University of Nebraska–Lincoln South Central Agricultural Laboratory near Clay Center, NE, in 2017 and 2018.

Figure 5

Figure 2. Popcorn plant density (plants m−1 of row) at harvest in (A) 2017 and (B) 2018; ears m−1 row in (C) 2017 and (D) 2018; seeds per ear in (E) 2017 and (F) 2018; and hundred-seed weight (g) in (G) 2017 and (H) 2018 in response to increasing duration of weed interference as represented by Celsius growing degree days (GDD) after emergence in popcorn with and without atrazine/S-metolachlor applied PRE (2,470 g ai ha−1) in a field experiment conducted at the University of Nebraska–Lincoln, South Central Agricultural Laboratory near Clay Center, NE. Regression lines represent the fit of a four-parameter log-logistic model.

Figure 6

Table 5. Parameter estimates and SEs of the four-parameter log-logistic model, root mean square error, and modeling efficiency for popcorn yield components with and without atrazine/S-metolachlor applied PRE in a field experiment conducted at the University of Nebraska—Lincoln, South Central Agricultural Laboratory near Clay Center, NE, in 2017 and 2018.

Figure 7

Figure 3. Popcorn yield loss (%) response to increasing duration of weed interference as represented by Celsius growing degree days (GDD) after emergence in popcorn with and without atrazine/S-metolachlor applied PRE (2,470 g ai ha−1) in (A) 2017 and (B) 2018 in a field experiment conducted at the University of Nebraska–Lincoln South Central Agricultural Laboratory near Clay Center, NE. Regression lines represent the fit of a four-parameter log-logistic model.

Figure 8

Table 6. Parameter estimates and SEs of the four-parameter log-logistic model, root mean square error, and modeling efficiency used to determine the critical time for weed removal for popcorn with and without atrazine/S-metolachlor applied PRE in a field experiment conducted at the University of Nebraska–Lincoln, South Central Agricultural Laboratory near Clay Center, NE, in 2017 and 2018.

Figure 9

Table 7. The critical time for weed removal in popcorn with and without atrazine/S-metolachlor applied PRE in a field experiment conducted at the University of Nebraska–Lincoln, South Central Agricultural Laboratory near Clay Center, NE, in 2017 and 2018.

Figure 10

Figure 4. Popcorn yield loss (%) related to decreasing popcorn vegetative area index (VAI) at the R1 popcorn growth stage in a field experiment conducted at the University of Nebraska—Lincoln, South Central Agricultural Laboratory near Clay Center, NE, in 2017 and 2018. Grey ribbon represents 95% confidence interval of the line. Regression lines represent the fit of a four-parameter log-logistic model (root mean square error, 16.1; modeling efficiency, 0.83). Model parameter values are as follows: slope, 4.1; Celsius growing degree days where 50% response between lower and upper limit occurs (ED50), 1.9; lower limit, 0.0; and upper limit, 100.0.