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Weed Abundance and Community Composition following a Long-Term Organic Vegetable Cropping Systems Experiment

Published online by Cambridge University Press:  01 September 2017

Ashley B. Jernigan ,
Brian A. Caldwell ,
Stéphane Cordeau ,
Antonio DiTommaso ,
Laurie E. Drinkwater ,
Charles L. Mohler  and
Matthew R. Ryan
Ashley B. Jernigan
Affiliation:
Undergraduate Student, Research Support Specialist, Visiting Scientist, Professor, Professor, Senior Research Associate, and Assistant Professor, School of Integrated Plant Science, Cornell University, Ithaca, NY 14853; Third author: Research Scientist, Agroécologie, AgroSup Dijon, INRA, Université Bourgogne Franche-Comté, F-21000 Dijon, France
Brian A. Caldwell
Affiliation:
Undergraduate Student, Research Support Specialist, Visiting Scientist, Professor, Professor, Senior Research Associate, and Assistant Professor, School of Integrated Plant Science, Cornell University, Ithaca, NY 14853; Third author: Research Scientist, Agroécologie, AgroSup Dijon, INRA, Université Bourgogne Franche-Comté, F-21000 Dijon, France
Stéphane Cordeau
Affiliation:
Undergraduate Student, Research Support Specialist, Visiting Scientist, Professor, Professor, Senior Research Associate, and Assistant Professor, School of Integrated Plant Science, Cornell University, Ithaca, NY 14853; Third author: Research Scientist, Agroécologie, AgroSup Dijon, INRA, Université Bourgogne Franche-Comté, F-21000 Dijon, France
Antonio DiTommaso
Affiliation:
Undergraduate Student, Research Support Specialist, Visiting Scientist, Professor, Professor, Senior Research Associate, and Assistant Professor, School of Integrated Plant Science, Cornell University, Ithaca, NY 14853; Third author: Research Scientist, Agroécologie, AgroSup Dijon, INRA, Université Bourgogne Franche-Comté, F-21000 Dijon, France
Laurie E. Drinkwater
Affiliation:
Undergraduate Student, Research Support Specialist, Visiting Scientist, Professor, Professor, Senior Research Associate, and Assistant Professor, School of Integrated Plant Science, Cornell University, Ithaca, NY 14853; Third author: Research Scientist, Agroécologie, AgroSup Dijon, INRA, Université Bourgogne Franche-Comté, F-21000 Dijon, France
Charles L. Mohler
Affiliation:
Undergraduate Student, Research Support Specialist, Visiting Scientist, Professor, Professor, Senior Research Associate, and Assistant Professor, School of Integrated Plant Science, Cornell University, Ithaca, NY 14853; Third author: Research Scientist, Agroécologie, AgroSup Dijon, INRA, Université Bourgogne Franche-Comté, F-21000 Dijon, France
Matthew R. Ryan*
Affiliation:
Undergraduate Student, Research Support Specialist, Visiting Scientist, Professor, Professor, Senior Research Associate, and Assistant Professor, School of Integrated Plant Science, Cornell University, Ithaca, NY 14853; Third author: Research Scientist, Agroécologie, AgroSup Dijon, INRA, Université Bourgogne Franche-Comté, F-21000 Dijon, France
*
*Corresponding author’s E-mail: [email protected]
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Abstract

Weed management is a major constraint in organic cropping systems. In 2004, the Cornell Organic Vegetable Cropping Systems Experiment was established in central New York state using a split-plot randomized complete block design with two crop rotation entry points (split-plot factor). Four organic vegetable cropping systems that varied in cropping intensity and tillage (main plot factor) were compared: (1) intensive, (2) intermediate, (3) bio-extensive, and (4) ridge tillage. The basic crop rotation was cabbage, lettuce, potato, and winter squash, with additional short-season crops in the intensive system and with cover crops and fallow substituted for cabbage and potato in the bio-extensive system. In 2014, two uniformity trials were conducted in which oat and then a mixture of sorghum-sudangrass plus Japanese millet were grown uniformly over the entire experiment. Prior to sowing oat, soil samples were collected from each plot and an emergence bioassay was conducted to assess the soil weed seedbank. Crop biomass, weed density, and weed biomass were sampled in the uniformity crops. Soil weed seedbank density was three to four times greater in the intensive, intermediate, and ridge-tillage systems than in the bio-extensive system. The bio-extensive system also had lower weed density and weed biomass in the oat uniformity trial compared with the other three systems. Oat biomass did not differ between the cropping systems. Weed density and biomass in oat were also affected by the crop rotation entry point. Cropping system legacy effects on weed abundance and community composition were greater in the oat than in the sorghum-sudangrass plus Japanese millet uniformity trial. Our results illustrate the effects of different organic vegetable production practices on weed community structure and highlight the value of tilled fallow periods, cover crops, and prevention of weed seed rain for reducing weed populations.

Keywords

Cabbage, Brassica oleracea L. var. capitata L.Japanese millet, Echinochloa esculenta (A. Braun) H. Scholzlettuce, Lactuca sativa L.oat, Avena sativa L.potato, Solanum tuberosum L.sorghum-sudangrass, Sorghum bicolor (L.) Moench×S. sudanense (Piper) Stapfwinter squash, Cucurbita maxima DuchesneBio-extensivecover cropsemergence bioassaylegacy effectsseedbanktillageuniformity trial.
Type
Weed Biology and Ecology
Information
Weed Science , Volume 65 , Issue 5 , September 2017 , pp. 639 - 649
Copyright
© Weed Science Society of America, 2017 

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Footnotes

Associate Editor for this paper: Adam Davis, USDA–ARS.

References

Literature Cited

Anderson, MJ (2001) A new method for non-parametric multivariate analysis of variance. Austral Ecol 26:32–46 Google Scholar
Bastiaans, L, Paolini, R, Baumann, D (2008) Focus on ecological weed management: what is hindering adoption? Weed Res 48:481–491 CrossRefGoogle Scholar
Buhler, DD, Stoltenberg, DE, Becker, RL, Gunsolus, JL (1994) Perennial weed populations after 14 years of variable tillage and cropping practices. Weed Sci 42:205–209 CrossRefGoogle Scholar
Cavers, PB, Benoit, DL (1989) Seed banks in arable land. Pages 309–328 in Leck MA, Parker VT & Simpson RL eds. Ecology of Soil Seed Banks. San Diego, CA: Academic CrossRefGoogle Scholar
Chan, S, Caldwell, BA, Rickard, BJ, Mohler, CL (2011) Economic performance of organic cropping systems for vegetables in the Northeast. J Agribusiness 29:59–81 Google Scholar
Davis, AS, Hill, JD, Chase, CA, Johanns, AM, Liebman, M (2012) Increasing cropping system diversity balances productivity, profitability and environmental health. PLoS ONE 7:e47149 CrossRefGoogle ScholarPubMed
Davis, AS, Renner, KA, Gross, KL (2005) Weed seedbank and community shifts in a long-term cropping systems experiment. Weed Sci 53:296–206 CrossRefGoogle Scholar
Dekker, J (2003) The foxtail (Setaria) species-group. Weed Sci 51:641–656 CrossRefGoogle Scholar
Dufrene, M, Legendre, P (1997) Species assemblages and indicator species: the need for a flexible asymmetrical approach. Ecol Monogr 67:345–366 Google Scholar
Fennimore, SA, Jackson, LE (2003) Organic amendment and tillage effects on vegetable field weed emergence and seedbanks. Weed Technol 17:42–50 CrossRefGoogle Scholar
Gallandt, ER (2006) How can we target the weed seedbank? Weed Sci 54:588–596 CrossRefGoogle Scholar
Graziani, F, Onofri, A, Pannacci, E (2012) Size and composition of weed seedbank in long-term organic and conventional low-input cropping systems. Eur J Agron 39:52–61 CrossRefGoogle Scholar
Gruber, S, Claupein, W (2009) Effect of tillage intensity on weed infestation in organic farming. Soil Tillage Res 105:104–111 CrossRefGoogle Scholar
Jabbour, R, Zwickle, S, Gallandt, ER, McPhee, KE, Wilson, RS (2014) Mental models of organic weed management: comparison of New England US farmer and expert models. Renew Agr Food Syst 29:319–333 CrossRefGoogle Scholar
Jerkins, D, Ory, J (2016) National Organic Research Agenda. Santa Cruz, CA: Organic Farming Research Foundation. 126 pGoogle Scholar
Karssen, CM (1980) Patterns of change in dormancy during burial of seeds in soil. Israel J Bot 29:65–73 Google Scholar
Le, S, Josse, J, Husson, F (2008) FactoMineR: an R package for multivariate analysis. J Stat Softw 25:1–18 CrossRefGoogle Scholar
Leeson, JY, Sheard, JW, Thomas, AG (2000) Weed communities associated with arable Saskatchewan farm management systems. Can J Plant Sci 80:177–185 CrossRefGoogle Scholar
Légere, A, Stevenson, FC, Benoit, DL (2011) The selective memory of weed seedbanks after 18 years of conservation tillage. Weed Sci 59:98–106 CrossRefGoogle Scholar
Liebman, M, Staver, CP (2001) Crop diversification for weed management. Pages 322–374 in Liebman M, Mohler CM & Staver CP eds. Ecological management of agricultural weeds. Cambridge, UK: Cambridge University Press CrossRefGoogle Scholar
Lockeretz, W (1997) Diversity of personal and enterprise characteristics among organic growers in the Northeastern United States. Biol Agric Hortic 14:13–24 CrossRefGoogle Scholar
Mantel, N (1967) Detection of disease clustering and a generalized regression approach. Cancer Res 27:209–220 Google Scholar
Mohler, CL, Johnson, SE (2009). Crop rotation on organic farms: a planning manual. Ithaca, NY: Natural Resource, Agriculture, and Engineering Service Google Scholar
Oksanen, J, Blanchet, FG, Kindt, R, Legendre, P, O’Hara, RB, Simpson, GL, Solymos, P, Stevens, MHH, Wagner, H (2010) Vegan: Community Ecology Package. R Package v 1:17–2. https://CRAN.R-project.org/package=vegan. Accessed August 1, 2017Google Scholar
Peigné, J, Ball, BC, Roger‐Estrade, J, David, C (2007) Is conservation tillage suitable for organic farming? A review. Soil Use and Management 23:129–144 CrossRefGoogle Scholar
Rasmussen, J, Ascard, J (1995) Weed control in organic farming systems. Pages 49–67 in Glen DM, Greaves MP & Anderson HM eds. Ecology and Integrated Farming Systems. Chichester, UK: Wiley Google Scholar
R Development 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
Ryan, MR, Smith, RG, Mirsky, SB, Mortensen, DA, Seidel, R (2010) Management filters and species traits: weed community assembly in long-term organic and conventional systems. Weed Sci 58:265–277 CrossRefGoogle Scholar
Schipanski, ME, Barbercheck, ME, Murrell, EG, Harper, J, Finney, DM, Kaye, JP, Mortensen, DA, Smith, RG (2017) Balancing multiple objectives in organic feed and forage cropping systems. Agr Ecosyst Environ 239:219–227 CrossRefGoogle Scholar
Schweizer, EE, Zimdahl, RL (1984) Weed seed decline in irrigated soil after six years of continuous corn (Zea mays) and herbicides. Weed Sci 32:76–83 CrossRefGoogle Scholar
Smith, RG, Gross, KL (2006) Rapid change in the germinable fraction of the weed seed bank in crop rotations. Weed Sci 54:1094–1100 CrossRefGoogle Scholar
Smith, RG, Gross, KL, Robertson, GP (2008) Effects of crop diversity on agroecosystem function: crop yield response. Ecosystems 11:355–366 CrossRefGoogle Scholar
Smith, RG, Ryan, MR, Menalled, FD (2011) Direct and indirect impacts of weed management practices on soil quality. Pages 275–286 in Hatfield JL & Sauer TJ eds. Soil Management: Building a Stable Base for Agriculture. Madison, WI: Soil Science Society of America Google Scholar
Swanton, CJ, Booth, BD (2004) Management of weed seedbanks in the context of populations and communities. Weed Technol 18:1496–1502 CrossRefGoogle Scholar
Teasdale, JR, Coffman, CB, Mangum, RW (2007) Potential long-term benefits of no-tillage and organic cropping systems for grain production and soil improvement. Agron J 99:1297–1305 CrossRefGoogle Scholar
Teasdale, JR, Mangum, RW, Radhakrishnan, J, Cavigelli, MA (2004) Weed seedbank dynamics in three organic farming crop rotations. Agron J 96:1429–1435 CrossRefGoogle Scholar
Tursun, N, Bükün, B, Karacan, SC, Ngouajio, M, Mennan, H (2007) Critical period for weed control in leek (Allium porrum L.). HortSci 42:106–109 CrossRefGoogle Scholar