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Meteorological and Management Factors Influencing Weed Abundance during 18 Years of Organic Crop Rotations

  • John R. Teasdale (a1), Steven B. Mirsky (a2) and Michel A. Cavigelli (a3)
Abstract

Organic crop production is often limited by the inability to control weeds. An 18-yr data set of weed cover in organic crop rotations at the long-term Farming Systems Project at Beltsville, MD, was analyzed to identify meteorological and management factors influencing weed abundance. A path analysis using structural equation models was employed to distinguish between the direct effect of factors on weed cover and the indirect effect on weed cover through effects on crop competitiveness. Grain yield of corn (Zea mays L.) and soybean [Glycine max (L.) Merr.] served as a surrogate for crop competitiveness and was found to be the most important factor influencing weed cover. Precipitation during late vegetative and early reproductive crop growth had a strong positive effect on crop yield, and thereby a negative indirect effect on weed cover, but this effect was partially offset by a positive direct effect on weed cover. Delayed crop planting date and crop rotational diversification including crops other than summer row crops had a moderate negative effect on weed cover, while having minimal effect on crop performance. Rotary hoeing also had a direct negative effect on weed cover, but a corresponding negative effect on crop performance resulted in a diminished total effect on weeds. Results demonstrate the complex interactions that define the relative abundance of weeds faced by organic growers, but, generally, factors that enhanced crop competitiveness provided the most effective weed management.

Copyright
Corresponding author
Author for correspondence: John Teasdale, USDA-ARS, Building 001 Room 245, 10300 Baltimore Avenue, Beltsville, MD 20705. (Email: john.teasdale@ars.usda.gov)
References
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Baker, BP Mohler, CL (2015) Weed management by upstate New York organic farmers: strategies, techniques and research priorities. Renew Agric Food Syst 30:418427
Buhler, DD Gunsolus, JL (1996) Effect of preplant tillage and planting on weed populations and mechanical weed control in soybean (Glycine max). Weed Sci 44:373379
Buhler, DD, Gunsolus, JL Ralston, DF (1992) Integrated weed management techniques to reduce herbicide inputs in soybean. Agron J 84:973978
Cavigelli, MA, Hima, BL, Hanson, JC, Teasdale, JR, Conklin, AE Lu, YC (2009) Long-term economic performance of organic and conventional field crops in the mid-Atlantic region. Renew Agric Food Syst 24:102119
Cavigelli, MA, Teasdale, JR Conklin, AE (2008) Long-term agronomic performance of organic and conventional field crops in the mid-Atlantic region. Agron J 100:785794
Coulter, JA, Sheaffer, CC, Haar, MJ, Wyse, DL Orf, JH (2011) Soybean cultivar response to planting date and seeding rate under organic management. Agron J 103:12231229
Cowan, P, Weaver, SE Swanton, CJ (1998) Interference between pigweed, barnyardgrass, and soybean. Weed Sci 46:533539
DeDecker, JJ, Masiunas, JB, Davis, AS Flint, CG (2014) Weed management practice selection among midwest U.S. organic growers. Weed Sci 62:520531
Egli, DB Cornelius, PL (2009) A regional analysis of the response of soybean yield to planting date. Agron J 101:330335
Ferrero, R, Lima, M, Davis, AS Gonzalez-Andujar, JL (2017) Weed diversity affects soybean and maize yield in a long term experiment in Michigan, USA. Front Plant Sci 8:236
Grace, JB (2006) Structural equation modeling and natural systems. Cambridge, UK: Cambridge University Press. 365 p
Leblanc, ML, Cloutier, DC Stewart, KA (2006) Rotary hoe cultivation in sweet corn. HortTechnology 16:583589
Légère, A, Stevenson, FC and Benoit, DL (2011) The selective memory of weed seedbanks after 18 years of conservation tillage. Weed Sci 59:98106
Maxwell, BD O’Donovan, JT (2007) Understanding weed-crop interactions to manage weed problems. Pages 1733 in Upadhyaya MK, Blackshaw RE, eds. Non-chemical Weed Management: Principles, Concepts and Technology. Oxfordshire, UK: CAB International
McDonald, AJ, Riha, SJ Mohler, CL (2004) Mining the record: historical evidence for climatic influences on maize–Abutilon theophrasti competition. Weed Res 44:439445
Mitchell, RJ (2001) Path analysis: pollination. Pages 217234 in Scheiner SM, Gurevitch J, eds. Design and Analysis of Ecological Experiments. New York: Oxford University Press
Mohler, CL (2001) Enhancing the competitive ability of crops. Pages 269321 in Liebman M, Mohler CL, Staver CP, eds. Ecological Management of Agricultural Weeds. Cambridge, UK: Cambridge University Press
Mortensen, DA Coble, HD (1989) The influence of soil water content on common cocklebur (Xanthium strumarium) interference in soybeans (Glycine max). Weed Sci 37:7683
Mulder, TA Doll, JD (1994) Reduced input corn weed control: the effects of planting date, early season weed control, and row-crop cultivar selection. J Prod Agric 7:256260
Myers, MM, Curran, WS, VanGessel, MJ, Calvin, DD, Mortensen, DA, Majek, BA, Karsten, HD Roth, GW (2004) Predicting weed emergence for eight annual species in the northeastern United States. Weed Sci 52:913919
Patterson, DT Highsmith, MT (1989) Competition of spurred anoda (Anoda cristata) and velvetleaf (Abutilon theophrasti) with cotton (Gossypium hirsutum) during simulated drought and recovery. Weed Sci 37:658664
Place, GT, Reberg-Horton, SC Burton, MG (2009) Effects of preplant and postplant rotary hoe use on weed control, soybean pod position, and soybean yield. Weed Sci 57:290295
Ponisio, LC, M’Gonigle, LK, Mace, KC, Palomino, J, de Valpine, P Kremen, C (2015) Diversification practices reduce organic to conventional yield gap. Proc R Soc Lond, B 282:20141396
Posner, JL, Baldock, JO Hedtcke, JL (2008) Organic and conventional production systems in the Wisconsin Integrated Cropping Systems Trials: I. Productivity 1990–2002. Agron J 100:253260
Renner, KA Woods, JJ (1999) Influence of cultural practices on weed management in soybean. J Prod Agric 12:4853
Rotchés-Ribalta, R, Armengot, L, Mäder, P, Mayer, J Sans, FX (2017) Long-term management affects the community composition of arable soil seedbanks. Weed Sci 65:7382
Ryan, MR, Mortensen, DA, Bastiaans, L, Teasdale, JR, Mirsky, SB, Curran, WS, Seidel, R, Wilson, DO Hepperly, PR (2010a) Elucidating the apparent maize tolerance to weed competition in long-term organically managed systems. Weed Res 50:2536
Ryan, MR, Smith, RG, Mirsky, SB, Mortensen, DA Seidel, R (2010b) Management filters and species traits: weed community assembly in long-term organic and conventional systems. Weed Sci 58:265277
SAS Institute (2011) Introduction to Structural Equation Modeling with Latent Variables. Pages 285–372 in SAS/STAT® 9.3 User’s Guide. Cary, NC
Seufert, V, Ramankutty, N Foley, JA (2012) Comparing the yields of organic and conventional agriculture. Nature 485:229232
Sindelar, AJ, Roozeboom, KL, Gordon, WB Heer, WF (2010) Corn response to delayed planting in the central great plains. Agron J 102:530536
Smith, RG, Davis, AS, Jordan, N, Atwood, LW, Daly, AB, Grandy, AS, Hunter, MC, Koide, RT, Mortensen, DA, Ewing, P, Kane, D, Li, M, Lou, Y, Snapp, SS, Spokas, KA Yannarell, AC (2014) Structural equation modeling facilitates transdisciplinary research on agriculture and climate change. Crop Sci 54:475483
Smith, RG Gross, KL (2006) Rapid changes in the germinable fraction of the weed seed bank in crop rotations. Weed Sci 54:10941100
Sosnoskie, LM, Herms, CP, Cardina, J Webster, TM (2009) Seedbank and emerged weed communities following adoption of glyphosate-resistant crops in a long-term tillage and rotation study. Weed Sci 57:261270
Taylor, EC, Renner, KA Sprague, CL (2012) Organic weed management in field crops with a propane flamer and rotary hoe. Weed Technol 26:793799
Teasdale, JR (2018) The use of rotations and cover crops to manage weeds. Pages 227260 in Zimdahl R, ed. Integrated Weed Management for Sustainable Agriculture. Cambridge, UK: Burleigh Dodds Science Publishing
Teasdale, JR Cavigelli, MA (2010) Subplots facilitate assessment of corn yield losses from weed competition in a long-term systems experiment. Agron Sustain Dev 30:445453
Teasdale, JR Cavigelli, MA (2017) Meteorological fluctuations define long-term crop yield patterns in conventional and organic production systems. Sci Rep 7:688
Teasdale, JR, Mangum, RW, Radhakrishnan, J Cavigelli, MA (2004) Weed seedbank dynamics in three organic farming crop rotations. Agron J 96:14291435
Teasdale, JR, Mirsky, SB, Spargo, JT, Cavigelli, MA Maul, JE (2012) Reduced-tillage organic corn production in a hairy vetch cover crop. Agron J 104:621628
Toler, JE, Guice, JB Murdock, EC (1996) Interference between johnsongrass, smooth pigweed, and soybean. Weed Sci 44:331338
Ullrich, SD, Buyer, JS, Cavigelli, MA, Seidel, R Teasdale, JR (2011) Weed seed persistence and microbial abundance in long-term organic and conventional cropping systems. Weed Sci 59:202209
Vangessel, MJ, Schweizer, EE, Lybecker, DW Westra, P (1995) Compatibility and efficiency of in-row cultivation for weed management in corn (Zea mays). Weed Technol 9:754760
Warton, DI Hui, FKC (2011) The arcsine is asinine: the analysis of proportions in ecology. Ecology 92:310
Williams, MM II (2006) Planting date influences critical period of weed control in sweet corn. Weed Sci 54:928933
Williams, MM II (2009) Within-season changes in the residual weed community and crop tolerance to interference over the long planting season of sweet corn. Weed Sci 57:319325
Wortman, SE, Lindquist, JL, Haar, MJ Francis, CA (2010) Increased weed diversity, density and aboveground biomass in long-term organic crop rotations. Renew Agric Food Syst 25:281295
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Weed Science
  • ISSN: 0043-1745
  • EISSN: 1550-2759
  • URL: /core/journals/weed-science
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