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Dry bean response to preemergence flumioxazin

Published online by Cambridge University Press:  07 October 2019

Albert T. Adjesiwor
Affiliation:
Postdoctoral Research Associate, Department of Plant Sciences, University of Wyoming, Laramie, WY, USA
David A. Claypool
Affiliation:
Master Technician, Department of Plant Sciences, University of Wyoming, Laramie, WY, USA
Andrew R. Kniss*
Affiliation:
Professor, Department of Plant Sciences, University of Wyoming, Laramie, WY, USA
*
Author for correspondence: Andrew R. Kniss, University of Wyoming, Department 3354, 1000 East University Avenue, Laramie, WY 82071. (Email: akniss@uwyo.edu)
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Abstract

Field studies were conducted from 2009 through 2011 at the Sustainable Agriculture Research and Extension Center near Lingle, Wyoming, to evaluate great northern bean response to PRE flumioxazin mixed with either trifluralin, pendimethalin, or ethalfluralin. Seven treatments were arranged in a randomized complete block with three or four replicates y−1. The soil texture of the study site was loam in 2009 and 2011, and sandy loam in 2010. Soil organic matter ranged from 1.4% to 1.8%. Treatments included flumioxazin plus trifluralin, flumioxazin plus pendimethalin, flumioxazin plus ethalfluralin, ethalfluralin plus EPTC, imazamox plus bentazon (POST), hand-weeded control, and nontreated control. Dry bean density 4 wk after planting differed among herbicide treatments (P < 0.001). Treatments that included flumioxazin reduced dry bean density 54% compared with treatments without flumioxazin. Dry bean yield was influenced by dry bean density; on average, yield in flumioxazin-containing herbicide treatments was 30% less than treatments not containing flumioxazin, even though weed control was generally greater in flumioxazin treatments.

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 in any medium, provided the original work is properly cited.
Copyright
© Weed Science Society of America, 2019
Figure 0

Table 1. Soil texture and composition in 2009, 2010, and 2011 at the experimental site, Lingle WY.

Figure 1

Table 2. Weed control treatments, herbicide rates, and application timings used in the study.

Figure 2

Figure 1. Weed control assessed visually from herbicide treatments, 2009–2011, near Lingle, WY. Points represent estimated marginal means, and bars represent the 95% confidence interval around the estimated marginal mean. Letters on the left side of each panel correspond to mean separation (Tukey honestly significant difference), treatments with the same letter within a panel are not statistically different at the 5% level. AMARE, Amaranthus retroflexus, redroot pigweed; CHEAL, Chenopodium album, common lambsquarters; SETVI, Setaria viridis, green foxtail; SOLSA, Solanum sarrachoides, hairy nightshade.

Figure 3

Figure 2. Dry bean population as influenced by herbicide treatments across 3 yr. Each data point represents dry bean population in one plot. Solid black points are the estimated marginal means; horizontal bars indicate 95% confidence intervals. Herbicide treatments are described in Table 1.

Figure 4

Figure 3. Precipitation and air temperatures 0–7 d after dry bean planting each year of the study.

Figure 5

Table 3. Dry bean yield (estimated marginal means) as influenced by herbicide treatments in 2009–2011, Lingle, WY.

Figure 6

Figure 4. The effect of dry bean density 4 wk after planting on dry bean yield, 2009–2011, near Lingle, WY. Linear regression equations are as follows: 2009: Y = 1,601 + 0.016X (P = 0.026); 2010: Y = 243 + 0.008X (P = 0.015); 2011: Y = 1,319 + 0.004X (P = 0.024).