Skip to main content Accessibility help
×
Home
Hostname: page-component-747cfc64b6-fkkrz Total loading time: 0.164 Render date: 2021-06-15T05:58:07.831Z Has data issue: true Feature Flags: { "shouldUseShareProductTool": true, "shouldUseHypothesis": true, "isUnsiloEnabled": true, "metricsAbstractViews": false, "figures": true, "newCiteModal": false, "newCitedByModal": true, "newEcommerce": true }

The Effects of Single- and Multiple-Weed Interference on Soybean Yield in the Far-Eastern Region of Russia

Published online by Cambridge University Press:  31 January 2017

Jong-Seok Song
Affiliation:
Senior Researcher, Senior Researcher, Graduate Student, Senior Researcher, Professor, and Associate Professor, Department of Plant Science, Research Institute of Agriculture and Life Sciences, College of Agriculture and Life Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea
Jin-Won Kim
Affiliation:
Senior Researcher, Senior Researcher, Graduate Student, Senior Researcher, Professor, and Associate Professor, Department of Plant Science, Research Institute of Agriculture and Life Sciences, College of Agriculture and Life Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea
Ji-Hoon Im
Affiliation:
Senior Researcher, Senior Researcher, Graduate Student, Senior Researcher, Professor, and Associate Professor, Department of Plant Science, Research Institute of Agriculture and Life Sciences, College of Agriculture and Life Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea
Kyu-Jong Lee
Affiliation:
Senior Researcher, Senior Researcher, Graduate Student, Senior Researcher, Professor, and Associate Professor, Department of Plant Science, Research Institute of Agriculture and Life Sciences, College of Agriculture and Life Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea
Byun-Woo Lee
Affiliation:
Senior Researcher, Senior Researcher, Graduate Student, Senior Researcher, Professor, and Associate Professor, Department of Plant Science, Research Institute of Agriculture and Life Sciences, College of Agriculture and Life Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea
Do-Soon Kim
Affiliation:
Senior Researcher, Senior Researcher, Graduate Student, Senior Researcher, Professor, and Associate Professor, Department of Plant Science, Research Institute of Agriculture and Life Sciences, College of Agriculture and Life Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea
Corresponding
E-mail address:

Abstract

Lack of understanding the effects of single- and multiple-weed interference on soybean yield has led to inadequate weed management in Primorsky Krai, resulting in much lower average yield than neighboring regions. A 2 yr field experiment was conducted in a soybean field located in Bogatyrka (43.82°N, 131.6°E), Primorsky Krai, Russia, in 2013 and 2014 to investigate the effects of single and multiple interference caused by naturally established weeds on soybean yield and to model these effects. Aboveground dry weight was negatively affected the most by weed interference, followed by number of pods and seeds. Soybean yield under single-weed interference was best demonstrated by a rectangular hyperbolic model, showing that common ragweed and barnyardgrass were the most competitive weed species, followed by annual sowthistle, American sloughgrass, and common lambsquarters. In the case of multiple-weed interference, soybean yield loss was accurately described by a multivariate rectangular hyperbolic model, with total density equivalent as the independent variable. Parameter estimates indicated that weed-free soybean yields were similar in 2013 and 2014, i.e., estimated as 1.72 t and 1.75 t ha−1, respectively, and competitiveness of each weed species was not significantly different between the two years. Economic thresholds for single-weed interference were 0.74, 0.66, 1.15, 1.23, and 1.45 plants m−2 for common ragweed, barnyardgrass, annual sowthistle, American sloughgrass, and common lambsquarters, respectively. The economic threshold for multiple-weed interference was 0.70 density equivalent m−2. These results, including the model, thus can be applied to a decision support system for weed management in soybean cultivation under single and multiple-weed interference in Primorsky Krai and its neighboring regions of Russia.

Type
Weed Biology and Ecology
Copyright
© Weed Science Society of America, 2017 

Access options

Get access to the full version of this content by using one of the access options below.

Footnotes

Associate Editor for this paper: John L. Lindquist, University of Nebraska

References

Baysinger, JA, Sims, BD (1991) Giant ragweed (Ambrosia trifida) interference in soybeans (Glycine max). Weed Sci 39:358362 Google Scholar
Beckett, TH, Stoller, EW, Wax, LM (1988) Interference of four annual weeds in corn (Zea mays). Weed Sci 36:764769 Google Scholar
Bensch, CN, Horak, MJ, Peterson, D (2003) Interference of redroot pigweed (Amaranthus retroflexus), Palmer amaranthus (A. palmeri), and common waterhemp (A. rudis) in soybean. Weed Sci 51:3743 CrossRefGoogle Scholar
Berti, A, Sattin, M (1996) Effect of weed position on yield loss in soyabean and a comparison between relative weed cover and other regression models. Weed Res 36:249258 CrossRefGoogle Scholar
Berti, A, Zanin, G (1994) Density equivalent: a method for forecasting yield loss caused by mixed weed populations. Weed Res 34:327332 CrossRefGoogle Scholar
Bosnic, AC, Swanton, CJ (1997) Influence of barnyardgrass (Echinochloa crus-galli) time of emergence and density on corn (Zea mays). Weed Sci 45:276282 Google Scholar
Burnside, OC, Colville, WL (1964) Yield components and composition of soybeans as affected by cultural and chemical weed control practices. Agron J 56:348351 CrossRefGoogle Scholar
Chikoye, D, Weise, SF, Swanton, CJ (1995) Influence of common ragweed (Ambrosia artemisiifolia) time of emergence and density on white bean (Phaseolus vulgaris). Weed Sci 43:375380 Google Scholar
Chism, WJ, Birch, JB, Bingham, SW (1992) Regressions for analyzing growth stage and quinclorac interactions. Weed Technol 6:898903 Google Scholar
Clewis, SB, Askew, SD, Wilcut, JW (2001) Common ragweed interference in peanut. Weed Sci 49:768772 CrossRefGoogle Scholar
Coble, HD, Williams, FM, Ritter, RL (1981) Common ragweed (Ambrosia artemisiifolia) interference in soybean (Glycine max). Weed Sci 29:339342 Google Scholar
Cousens, R (1985) A simple model relating yield loss to weed density. Ann Appl Biol 107:239252 CrossRefGoogle Scholar
Cousens, R (1987) Theory and reality of weed control thresholds. Plant Protect Q 2:1320 Google Scholar
Cowbrough, MJ, Brown, RB, Tardif, FJ (2003) Impact of common ragweed (Ambrosia artemisiifolia) aggregation on economic thresholds in soybean. Weed Sci 51:947954 CrossRefGoogle Scholar
[DAFPT] Department of Agriculture and Food of the Primorsky Territory (2012) Development of Agriculture and Market Regulation of Agricultural Products, Raw Materials and Food: Improving Living Standards of Rural Population of Primorsky Krai http://www.agrodv.ru. Accessed: May 18, 2016 Google Scholar
Dieleman, A, Hamill, AS, Weise, SF, Swanton, CJ (1995) Empirical models of pigweed (Amaranthus spp.) interference in soybean (Glycine max). Weed Sci 43:612618 Google Scholar
Eaton, BJ, Feltner, KC, Russ, OG (1973) Venice mallow competition in soybeans. Weed Sci 21:8994 Google Scholar
Eaton, BJ, Russ, OG, Feltner, KC (1976) Competition of velvetleaf, prickly sida, and Venice mallow in soybeans. Weed Sci 24:224228 Google Scholar
Fellows, GM, Roeth, FW (1992) Shattercane (Sorghum bicolor) interference in soybean (Glycine max). Weed Sci 40:6873 Google Scholar
[FAOSTAT] Food and Agriculture Organization of the United Nations (2011) FAO Statistical Databases. http://faostat.fao.org/site/567/DesktopDefault.aspx?PageID=567#ancor. Accessed: May 18, 2016Google Scholar
Gashkova, IV (2008) Glycine max (L.) Merr.—Soybean. In: Afonin AN, Greene SL, Dzyubenko NI, Frolov AN, eds. Interactive Agricultural Ecological Atlas of Russia and Neighboring Countries: Economic Plants and Their Diseases, Pests and Weeds [Online]. http://www.agroatlas.ru/en/content/cultural/Glycine_max_K/index.html. Accessed: May 18, 2016Google Scholar
Hager, A, Renner, K (1994) Common ragweed (Ambrosia artemisiifolia) control in soybean (Glycine max) with bentazon as influenced by imazethapyr or thifensulfuron tank-mixes. Weed Technol 8:766771 Google Scholar
Han, J, Liu, H, Guo, P, Hao, C (2002) Weed control in summer-sown soybeans with flumioxazin plus acetochlor and flumiclorac-pentyl plus clethodim. Weed Biol Manag 2:120122 CrossRefGoogle Scholar
Harrison, SK (1990) Interference and seed production by common lambsquarters (Chenopodium album) in soybeans (Glycine max). Weed Sci 38:113118 Google Scholar
Harrison, SK, Williams, CS, Wax, LM (1985) Interference and control of giant foxtail (Setaria faberi) in soybeans (Glycine max). Weed Sci 33:203208 Google Scholar
Hock, SM, Knezevic, SZ, Martin, A, Lindquist, JL (2006a) Performance of WeedSOFT for predicting soybean yield loss. Weed Technol 20:478484 CrossRefGoogle Scholar
Hock, SM, Knezevic, SZ, Martin, A, Lindquist, JL (2006b) Soybean row spacing and weed emergence time influence weed competitiveness and competitive indices. Weed Sci 54:3846 CrossRefGoogle Scholar
Informa Economics (2013) China June Crop Area and Production Report. http://www.informaecon.com/samplereports/ChinaSampleReport.pdf. Accessed May 23, 2016Google Scholar
Kapusta, G (1979) Seedbed tillage and herbicide influence on soybean (Glycine max) weed control and yield. Weed Sci 27:520526 Google Scholar
Knake, EL, Slife, FW (1962) Competition of Setaria faberii with corn and soybeans. Weeds 10:2627 CrossRefGoogle Scholar
Kim, DS, Marshall, EJP, Brain, P, Caseley, JC (2006a) Modeling interactions between herbicide dose and multiple weed species interference in crop-weed competition. Weed Res 46:175184 CrossRefGoogle Scholar
Kim, DS, Marshall, EJP, Brain, P, Caseley, JC (2006b) Modeling the effects of sub-lethal doses of herbicide and nitrogen fertilizer on crop-weed competition. Weed Res 46:492502 CrossRefGoogle Scholar
Lindquist, JL (2001) Performance of INTERCOM for predicting corn–velvetleaf interference across north-central United States. Weed Sci 49:195201 CrossRefGoogle Scholar
Lindquist, JL, Dieleman, JA, Mortensen, DA, Johnson, GA, Wyse-Pester, DY (1998) Economic importance of managing spatially heterogeneous weed population. Weed Technol 12:713 Google Scholar
Lindquist, JL, Kropff, MJ (1996) Applications of an ecophysiological model for irrigated rice (Oryza sativa)–Echinochloa competition. Weed Sci 44:5256 Google Scholar
Lindquist, JL, Mortensen, DA, Westra, P, Lambert, WJ, Bauman, TT, Fausey, JC, Kells, JJ, Langton, SJ, Harvey, RG, Bussler, BH, Banken, K, Clay, S, Forcella, F (1999) Stability of corn (Zea mays)–foxtail (Setaria spp.) interference relationships. Weed Sci 47:195200 Google Scholar
Marra, MC, Carlson, GA (1983) An economic threshold model for weeds in soybeans (Glycine max). Weed Sci 31:604609 Google Scholar
Moon, BC, Cho, SH, Kwon, OD, Lee, SG, Lee, BW, Kim, DS (2010) Modelling rice competition with Echinochloa crus-galli and Eleocharis kuroguwai in transplanted rice cultivation. J Crop Sci Biotechnol 13:121126 CrossRefGoogle Scholar
Oveisi, M, Mashhadi, HR, Yousefi, AR, Alizade, H, Baghestani, MA, Gonzalez-Andujar, JL (2013) Predicting maize yield in a multiple species competition with Xanthium strumarium and Amaranthus retroflexus: comparing of approaches to modeling herbicide performance. Crop Prot 45:1521 CrossRefGoogle Scholar
Peterson, DE, Nalewaja, JD (1992) Green foxtail (Setaria viridis) competition with spring wheat (Triticum aestivum). Weed Technol 6:291296 Google Scholar
SAS (2011) SAS/STAT systems for Windows, v. 9.3. Cary, NC: SAS Institute Google Scholar
Sibuga, KP, Bandeen, JD (1980) Effects of green foxtail and lamb’s-quarters interference in field corn. Can J Plant Sci 60:14191425 CrossRefGoogle Scholar
Song, JS, Jung, JH, Kwon, JH, Lim, SH, Kim, DS (2013) Weed survey in soybean fields of Seoul Feed Farm in Primorsky-krai, Russia. Pages 147148 in Proceedings of the 33rd Korean Society of Weed Science Conference. Boseong, South Korea Google Scholar
Swinton, SM, Buhler, DD, Forcella, F, Gunsolus, JL, King, RP (1994) Estimation of crop yield loss due to interference by multiple weed species. Weed Sci 42:103109 Google Scholar
Vail, GD, Oliver, LR (1993) Barnyardgrass (Echinochloa crus-galli) interference in soybeans (Glycine max). Weed Technol 7:220225 Google Scholar
Weaver, SE (2001) Impact of lamb’s-quarters, common ragweed and green foxtail on yield of corn and soybean in Ontario. Can J Plant Sci 81:821828 CrossRefGoogle Scholar
Webster, TM, Loux, MM, Regnier, EE, Harrison, SK (1994) Giant ragweed (Ambrosia trifida) canopy architecture and interference studies in soybean (Glycine max). Weed Technol 8:559564 Google Scholar
Yousefi, AR, Gonzalez-Andujar, JL, Alizadeh, H, Baghestani, MA, Rahimian Mashhadi, H, Karimmojeni, (2012) Interactions between reduced rate of imazethapyr and multiple weed species–soyabean interference in a semi-arid environment. Weed Res 11:174182 Google Scholar
Zanin, G, Berti, A, Toniolo, L (1993) Estimation of economic thresholds for weed control in winter wheat. Weed Res 33:459467 CrossRefGoogle Scholar
Supplementary material: File

Song supplementary material

Table S1 and Figures S1-S4

Download Song supplementary material(File)
File 763 KB
11
Cited by

Send article to Kindle

To send this article to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle.

Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

The Effects of Single- and Multiple-Weed Interference on Soybean Yield in the Far-Eastern Region of Russia
Available formats
×

Send article to Dropbox

To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Dropbox.

The Effects of Single- and Multiple-Weed Interference on Soybean Yield in the Far-Eastern Region of Russia
Available formats
×

Send article to Google Drive

To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Google Drive.

The Effects of Single- and Multiple-Weed Interference on Soybean Yield in the Far-Eastern Region of Russia
Available formats
×
×

Reply to: Submit a response

Please enter your response.

Your details

Please enter a valid email address.

Conflicting interests

Do you have any conflicting interests? *