Hostname: page-component-76fb5796d-r6qrq Total loading time: 0 Render date: 2024-04-25T08:06:12.938Z Has data issue: false hasContentIssue false
  • English
  • Français

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 ,
Jin-Won Kim ,
Ji-Hoon Im ,
Kyu-Jong Lee ,
Byun-Woo Lee  and
Do-Soon Kim
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 author’s E-mail: dosoonkim@snu.ac.kr
Get access Rights & Permissions [Opens in a new window]

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.

Keywords

Common ragweed, Ambrosia artemisiifolia L.barnyardgrass, Echinochloa crus-galli (L.) Beauv.annual sowthistle, Sonchus oleraceus L.common lambsquarters, Chenopodium album L.American sloughgrass, Beckmannia syzigachne (Steud.) Fernaldsoybean, Glycine max (L.) Merr.Crop–weed competitioneconomic thresholdmodelingmultiple-weed interferencePrimorsky Krai.
Type
Weed Biology and Ecology
Information
Weed Science , Volume 65 , Issue 3 , May 2017 , pp. 371 - 380
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. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

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

References

Literature Cited

Baysinger, JA, Sims, BD (1991) Giant ragweed (Ambrosia trifida) interference in soybeans (Glycine max). Weed Sci 39:358–362 Google Scholar
Beckett, TH, Stoller, EW, Wax, LM (1988) Interference of four annual weeds in corn (Zea mays). Weed Sci 36:764–769 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 51:37–43 Google 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 36:249–258 Google Scholar
Berti, A, Zanin, G (1994) Density equivalent: a method for forecasting yield loss caused by mixed weed populations. Weed Res 34:327–332 Google Scholar
Bosnic, AC, Swanton, CJ (1997) Influence of barnyardgrass (Echinochloa crus-galli) time of emergence and density on corn (Zea mays). Weed Sci 45:276–282 Google Scholar
Burnside, OC, Colville, WL (1964) Yield components and composition of soybeans as affected by cultural and chemical weed control practices. Agron J 56:348–351 Google 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 43:375–380 Google Scholar
Chism, WJ, Birch, JB, Bingham, SW (1992) Regressions for analyzing growth stage and quinclorac interactions. Weed Technol 6:898–903 Google Scholar
Clewis, SB, Askew, SD, Wilcut, JW (2001) Common ragweed interference in peanut. Weed Sci 49:768–772 Google Scholar
Coble, HD, Williams, FM, Ritter, RL (1981) Common ragweed (Ambrosia artemisiifolia) interference in soybean (Glycine max). Weed Sci 29:339–342 Google Scholar
Cousens, R (1985) A simple model relating yield loss to weed density. Ann Appl Biol 107:239–252 Google Scholar
Cousens, R (1987) Theory and reality of weed control thresholds. Plant Protect Q 2:13–20 Google Scholar
Cowbrough, MJ, Brown, RB, Tardif, FJ (2003) Impact of common ragweed (Ambrosia artemisiifolia) aggregation on economic thresholds in soybean. Weed Sci 51:947–954 Google 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 43:612–618 CrossRefGoogle Scholar
Eaton, BJ, Feltner, KC, Russ, OG (1973) Venice mallow competition in soybeans. Weed Sci 21:89–94 Google Scholar
Eaton, BJ, Russ, OG, Feltner, KC (1976) Competition of velvetleaf, prickly sida, and Venice mallow in soybeans. Weed Sci 24:224–228 Google Scholar
Fellows, GM, Roeth, FW (1992) Shattercane (Sorghum bicolor) interference in soybean (Glycine max). Weed Sci 40:68–73 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 8:766–771 CrossRefGoogle 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 2:120–122 Google Scholar
Harrison, SK (1990) Interference and seed production by common lambsquarters (Chenopodium album) in soybeans (Glycine max). Weed Sci 38:113–118 Google Scholar
Harrison, SK, Williams, CS, Wax, LM (1985) Interference and control of giant foxtail (Setaria faberi) in soybeans (Glycine max). Weed Sci 33:203–208 Google Scholar
Hock, SM, Knezevic, SZ, Martin, A, Lindquist, JL (2006a) Performance of WeedSOFT for predicting soybean yield loss. Weed Technol 20:478–484 Google 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 54:38–46 Google 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 27:520–526 Google Scholar
Knake, EL, Slife, FW (1962) Competition of Setaria faberii with corn and soybeans. Weeds 10:26–27 Google 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 46:175–184 Google 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 46:492–502 Google Scholar
Lindquist, JL (2001) Performance of INTERCOM for predicting corn–velvetleaf interference across north-central United States. Weed Sci 49:195–201 Google Scholar
Lindquist, JL, Dieleman, JA, Mortensen, DA, Johnson, GA, Wyse-Pester, DY (1998) Economic importance of managing spatially heterogeneous weed population. Weed Technol 12:7–13 Google Scholar
Lindquist, JL, Kropff, MJ (1996) Applications of an ecophysiological model for irrigated rice (Oryza sativa)–Echinochloa competition. Weed Sci 44:52–56 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 47:195–200 Google Scholar
Marra, MC, Carlson, GA (1983) An economic threshold model for weeds in soybeans (Glycine max). Weed Sci 31:604–609 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 13:121–126 Google 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 45:15–21 Google Scholar
Peterson, DE, Nalewaja, JD (1992) Green foxtail (Setaria viridis) competition with spring wheat (Triticum aestivum). Weed Technol 6:291–296 CrossRefGoogle 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 60:1419–1425 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 147–148 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 42:103–109 CrossRefGoogle Scholar
Vail, GD, Oliver, LR (1993) Barnyardgrass (Echinochloa crus-galli) interference in soybeans (Glycine max). Weed Technol 7:220–225 CrossRefGoogle 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 81:821–828 Google 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 8:559–564 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 11:174–182 Google Scholar
Zanin, G, Berti, A, Toniolo, L (1993) Estimation of economic thresholds for weed control in winter wheat. Weed Res 33:459–467 Google Scholar
Supplementary material: File

Song supplementary material

Table S1 and Figures S1-S4

Download Song supplementary material(File)
File 762.6 KB