Hostname: page-component-76fb5796d-r6qrq Total loading time: 0 Render date: 2024-04-26T05:41:48.371Z Has data issue: false hasContentIssue false

Preemergence Application of Dicamba to Manage Dicamba-Resistant Kochia (Kochia scoparia)

Published online by Cambridge University Press:  08 February 2018

Junjun Ou
Affiliation:
Graduate Student, Kansas State University, Department of Agronomy, Manhattan, KS, USA
Curtis R. Thompson
Affiliation:
Professor, Kansas State University, Department of Agronomy, Manhattan, KS, USA
Phillip W. Stahlman
Affiliation:
Professor, Kansas State University, Agricultural Research Center–Hays, Hays, KS, USA,
Mithila Jugulam*
Affiliation:
Associate Professor, Kansas State University, Department of Agronomy, Manhattan, KS, USA
*
*Author for correspondence: Mithila Jugulam, Associate Professor, Kansas State University, Department of Agronomy, 2004 Throckmorton Plant Sciences Center, 1712 Claflin Road, Manhattan, KS 66506. (E-mail: mithila@ksu.edu)

Abstract

Dicamba-resistant crops are being rapidly embraced by growers in the United States to manage glyphosate-resistant and other difficult-to-control broadleaf weeds. However, dicamba resistance in kochia, one of the troublesome weeds of the North American Great Plains, is already widespread. Hence, POST application of dicamba may not adequately control kochia. In recent years in the High Plains Region of Colorado, Kansas, and Nebraska, dicamba has been widely applied, often in combination with atrazine or metribuzin, in early spring for PRE control of kochia. However, there is concern this use pattern may increase the selection for dicamba-resistant (DR) kochia. Hence, there is need to understand the efficacy of dicamba applied PRE versus POST for managing DR kochia. A greenhouse study was conducted to test the efficacy of PRE-applied dicamba compared with POST application using both DR and dicamba-susceptible (DS) kochia. Efficacies of PRE-applied dicamba were compared at seeding densities of 300, 600, 900 and 1200 viable seed m−2. At eight weeks after PRE and four weeks after POST treatment, control of DR kochia seeded at 300 viable seed m−2 was improved from 10% with 560 g ae ha−1 dicamba applied POST to 94 and 97% with 350 and 420 g ha−1 dicamba applied PRE, respectively. However, the efficacy of PRE-applied dicamba was negatively correlated with seed density. When kochia seeding density was increased from 300 to 1200 seed m−2, the ED50 of PRE-applied dicamba increased from 237 to 705 g ae ha−1 for DR kochia, and from 129 to 361 g ae ha−1 for DS kochia, respectively. Thus, PRE-applied dicamba was effective in controlling the population of DR kochia tested, suggesting that PRE-applied dicamba may still provide substantial control of some DR kochia populations. However, it is not advisable to apply dicamba alone for PRE kochia control.

Type
Weed Management-Major Crops
Copyright
© Weed Science Society of America, 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Blumhorst, MR, Weber, JB, Swain, LR (1990) Efficacy of selected herbicides as influenced by soil properties. Weed Technol 4:279283 Google Scholar
Bruce, JA, Kells, JJ (1990) Horseweed (Conyza canadensis) control in no-tillage soybeans (Glycine max) with preplant and preemergence herbicides. Weed Technol 4:642647 CrossRefGoogle Scholar
Chachalis, D, Reddy, KN (2000) Factors affecting Campsis radicans seed germination and seedling emergence. Weed Sci 48:212216 CrossRefGoogle Scholar
Duke, SO (2012) Why have no new herbicide modes of action appeared in recent years? Pest Manag Sci 68:505512 Google Scholar
Everitt, JH, Alaniz, MA, Lee, JB (1983) Seed germination characteristics of Kochia scoparia . J Range Manage 36:646648 Google Scholar
Fay, P, Mulugeta, D, Dyer, W (1992). The role of seed dispersal in the spread of sulfonylurea resistant Kochia scoparia. In The Weed Science Society of America, Meeting abstracts. Orlando, FL: The Weed Science Society of AmericaGoogle Scholar
Friesen, LF, Beckie, HJ, Warwick, SI, Van Acker, RC (2009) The biology of Canadian weeds. 138. Kochia scoparia (L.) Schrad. Can J Plant Sci 89:141167 CrossRefGoogle Scholar
Hagood, ES Jr (1989) Control of triazine-resistant smooth pigweed (Amaranthus hybridus) and common lambsquarters (Chenopodium album) in no-till corn (Zea mays). Weed Technol 3:136142 Google Scholar
Heap, IM (2017) The International Survey of Herbicide Resistant Weeds. www.weedscience.org. Accessed: March 27, 2017Google Scholar
Johnson, B, Young, B, Matthews, J, Marquardt, P, Slack, C, Bradley, K, York, A, Culpepper, S, Hager, A, Al-Khatib, K (2010) Weed control in dicamba-resistant soybeans. Crop Manag 9. doi: 10.1094/CM-2010-0920-01-RS Google Scholar
Li, K, Liu, W, Xu, D, Lee, S (2003) Influence of organic matter and pH on bentazone sorption in soils. J Agric Food Chem 51:53625366 Google Scholar
Locke, MA, Reddy, KN, Zablotowicz, RM (2002) Weed management in conservation crop production systems. Weed Biol Manage 2:123132 Google Scholar
Norsworthy, JK, Ward, SM, Shaw, DR, Llewellyn, RS, Nichols, RL, Webster, TM, Bradley, KW, Frisvold, G, Powles, SB, Burgos, NR, Witt, WW, Barrett, M (2012) Reducing the risks of herbicide resistance: best management practices and recommendations. Weed Sci 60(SP1): 3162 Google Scholar
Ou, J, Stahlman, PW, Jugulam, M (2015) Uptake, translocation and metabolism of dicamba in dicamba-resistant kochia from Kansas. Page 27 in Proceedings of The Western Society of Weed Science. Portland, OR: The Western Society of Weed Science Google Scholar
R Core Team (2015) R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.r-project.org/Google Scholar
Ritz, C, Streibig, JC (2005) Bioassay analysis using R. J Stat Softw 12:122 Google Scholar
Schweizer, EE, Zimdahl, RL (1984) Weed seed decline in irrigated soil after six years of continuous corn (Zea mays) and herbicides. Weed Sci 32:7683 Google Scholar
Seefeldt, SS, Jensen, JE, Fuerst, EP (1995) Log-logistic analysis of herbicide dose-response relationships. Weed Technol 9:218227 Google Scholar
Tan, S, Evans, RR, Dahmer, ML, Singh, BK, Shaner, DL (2005) Imidazolinone-tolerant crops: history, current status and future. Pest Manag Sci 61:246257 Google Scholar
Taylor, KL, Hartzler, RG (2000) Effect of seed bank augmentation on herbicide efficacy. Weed Technol 14:261267 Google Scholar
Varanasi, VK, Godar, AS, Currie, RS, Dille, JA, Thompson, CR, Stahlman, PW, Mithila, J (2015) Field evolved resistance to four modes of action of herbicides in a single kochia (Kochia scoparia L Schrad.) population. Pest Manag Sci 71:12071212 Google Scholar
Wilson, BJ, Wright, KJ, Brain, P, Clements, M, Stephens, E (1995) Predicting the competitive effects of weed and crop density on weed biomass, weed seed production and crop yield in wheat. Weed Res 35:265278 Google Scholar