Hostname: page-component-cd9895bd7-7cvxr Total loading time: 0 Render date: 2024-12-27T09:11:13.544Z Has data issue: false hasContentIssue false

Effect of Weed Management Strategy and Row Width on Nitrous Oxide Emissions in Soybean

Published online by Cambridge University Press:  20 January 2017

Rebecca R. Bailey*
Affiliation:
Department of Agronomy, University of Wisconsin–Madison, 1575 Linden Dr., Madison, WI 53706
Thomas R. Butts
Affiliation:
Department of Agronomy, University of Wisconsin–Madison, 1575 Linden Dr., Madison, WI 53706
Joseph G. Lauer
Affiliation:
Department of Agronomy, University of Wisconsin–Madison, 1575 Linden Dr., Madison, WI 53706
Carrie A. M. Laboski
Affiliation:
Department of Soil Science, University of Wisconsin–Madison, 1525 Observatory Dr., Madison, WI, 53706
Christopher J. Kucharik
Affiliation:
fifth author: Professor, Department of Agronomy and Nelson Center for Sustainability and the Global Environment, University of Wisconsin–Madison, 1575 Linden Dr., Madison, WI 53706
Vince M. Davis
Affiliation:
Department of Agronomy, University of Wisconsin–Madison, 1575 Linden Dr., Madison, WI 53706
*
Corresponding author's E-mail: rredlinebailey@gmail.com

Abstract

Nitrous oxide (N2O) is a potent greenhouse gas with implication for climate change. Agriculture accounts for 10% of all greenhouse gas emissions in the United States, but 75% of the country's N2O emissions. In the absence of PRE herbicides, weeds compete with soybean for available soil moisture and inorganic N, and may reduce N2O emissions relative to a weed-free environment. However, after weeds are killed with a POST herbicide, the dead weed residues may stimulate N2O emissions by increasing soil moisture and supplying carbon and nitrogen to microbial denitrifiers. Wider soybean rows often have more weed biomass, and as a result, row width may further impact how weeds influence N2O emissions. To determine this relationship, field studies were conducted in 2013 and 2014 in Arlington, WI. A two-by-two factorial treatment structure of weed management (PRE + POST vs. POST-only) and row width (38 or 76 cm) was arranged in a randomized complete block design with four replications. N2O fluxes were measured from static gas sampling chambers at least weekly starting 2 wk after planting until mid-September, and were compared for the periods before and after weed termination using a repeated measures analysis. N2O fluxes were not influenced by the weed by width interaction or width before termination, after termination, or for the full duration of the study at P ≤ 0.05. Interestingly, we observed that POST-only treatments had lower fluxes on the sampling day immediately prior to POST application (P = 0.0002), but this was the only incidence where weed influenced N2O fluxes, and overall, average fluxes from PRE + POST and POST-only treatments were not different for any period of the study. Soybean yield was not influenced by width (P = 0.6018) or weed by width (P = 0.5825), but yield was 650 kg ha−1 higher in the PRE + POST than POST-only treatments (P = 0.0007). These results indicate that herbicide management strategy does not influence N2O emissions from soybean, and the use of a PRE herbicide prevents soybean yield loss.

Type
Soil, Air, and Water
Copyright
Copyright © Weed Science Society of America 

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: Sharon Clay, South Dakota State University.

References

Literature Cited

Alessi, J, Power, JF (1982) Effects of plant row spacing on dryland soybean yield and water-use efficiency. Agron J 74:851854.Google Scholar
Baggs, EM, Stevenson, M, Pihlatie, M, Regar, A, Cook, H, Cadisch, G (2003) Nitrous oxide emissions following application of residues and fertiliser under zero and conventional tillage. Plant Soil 254:361370.Google Scholar
Bateman, EJ, Baggs, EM (2005) Contributions of nitrification and denitrification to N2O emissions from soils at different water-filled pore space. Biol Fert Soils 41:379388.Google Scholar
Bouwman, AF (1990) Soils and the Greenhouse Effect. Chichester, UK Wiley, 575 pGoogle Scholar
Bremner, JM, Shaw, K (1958) Denitrification in soil. II. Factors affecting denitrification. J Agric Sci 51:4052.Google Scholar
Ciampitti, IA, Ciarlo, EA, Conti, ME (2008) Nitrous oxide emissions from soil during soybean [Glycine max (L.) Merrill] crop phenological stages and stubbles decomposition period. Biol Fertil Soils 44:581588.Google Scholar
Cox, WJ, Cherney, JH (2011) Growth and yield responses of soybean to row spacing and seeding rate. Agron J 103:123128.Google Scholar
Dalley, CD, Bernards, ML, Kells, JJ (2006) Effect of weed removal timing and row spacing on soil moisture in corn (Zea mays). Weed Technol 20:399409.Google Scholar
Davidson, EA, Savage, K, Verchot, LV, Navarro, R (2002) Minimizing artifacts and biases in chamber-based measurements of soil respiration. Agric Forest Meteorol 113:2137.Google Scholar
De Bruin, JL, Pedersen, P (2008) Effect of row spacing and seeding rate on soybean yield. Agron J 100:704710.Google Scholar
Devlin, DL, Fjell, DL, Shroyer, JP, Gordon, WB, Marsh, BH, Maddux, LD, Martin, VL, Duncan, SR (1995) Row spacing and seeding rates for soybean in low and high yielding environments. J Prod Agric 8:215222.Google Scholar
DeWerff, RP, Conley, SP, Colquhoun, JB, Davis, VM (2014) Can soybean seeding rate be used as an integrated component of herbicide resistance management? Weed Sci 62:625636.Google Scholar
Drury, CF, Yang, XM, Reynolds, WD, McLaughlin, NB (2008) Nitrous oxide and carbon dioxide emissions from monoculture and rotational cropping of corn, soybean and winter wheat. Can J Soil Sci 88:163174.Google Scholar
Duran, BEL, Kucharik, CJ (2013) Comparison of two chamber methods for measuring soil trace-gas fluxes in bioenergy cropping systems. Soil Sci Soc Am J 77:16011612.Google Scholar
Fehr, WR, Caviness, CE, Burmood, DT, Pennington, JS (1971) Stage of development descriptions for soybeans, Glycine max (L.) Merrill. Crop Sci 11:929931.Google Scholar
Garcia-Ruiz, R, Baggs, EM (2007) N2O emission from soil following combined application of fertiliser-N and ground weed residues. Plant Soil 299:263274.Google Scholar
Garcia-Ruiz, R, Gomez-Munoz, B, Hatch, DJ, Bol, R, Baggs, EM (2012) Soil mineral N retention and N2O emissions following combined application of 15N-labelled fertiliser and weed residues. Rapid Commun Mass Spectrom 26:23792385.Google Scholar
Goodroad, LL, Keeney, DR, Peterson, LA (1984) Nitrous oxide emissions from agricultural soils in Wisconsin. J Environ Qual 13:557561.Google Scholar
Green, JD, Murray, DS, Stone, JF (1988) Soil water relations of silverleaf nightshade (Solanum elaeagnifolium) with cotton (Gossypium birsutum). Weed Sci 36:740746.Google Scholar
Harre, NT, Schoonover, JE, Young, BG (2014) Decay and nutrient release patterns of weeds following post-emergent glyphosate control. Weed Sci 62:588596.Google Scholar
Hoben, JP, Gehl, RJ, Millar, N, Grace, PR, Robertson, GP (2011) Nonlinear nitrous oxide (N2O) response to nitrogen fertilizer in on-farm corn crops of the US Midwest. Glob Change Biol 17:11401152.Google Scholar
Hock, SM, Knezevic, SZ, Martin, AR, Lindquist, JL (2006) Soybean row spacing and weed emergence time influence weed competitiveness and competitive indices. Weed Sci 54:3846.Google Scholar
Huang, Y, Zou, JW, Zheng, XH, Wang, YS, Xu, XK (2004) Nitrous oxide emissions as influenced by amendment of plant residues with different C:N ratios. Soil Biol Biochem 36:973981.Google Scholar
Hutchinson, GL, Livingston, GP (2001) Vents and seals in non-steady-state chambers used for measuring gas exchange between soil and the atmosphere. Eur J Soil Sci 52:675682.Google Scholar
Jacinthe, PA, Dick, WA (1997) Soil management and nitrous oxide emissions from cultivated fields in southern Ohio. Soil Till Res 41:221235.Google Scholar
Koger, CH, Reddy, KN, Shaw, DR (2002) Effects of rye cover crop residue and herbicides on weed control in narrow and wide row soybean planting systems. Weed Biol Manag 2:216224.Google Scholar
Kropff, MJ and Van Laar, HH, eds (1993) Modelling Crop–Weed Interactions. Wallingford, UK CAB International, 274 pGoogle Scholar
Lambert, DM, Lowenberg-DeBoer, J (2003) Economic analysis of row spacing for corn and soybean. Agron J 95:564573.Google Scholar
Légère, A, Schreiber, MM (1989) Competition and canopy architecture as affected by soybean (Glycine max) row width and density of redroot pigweed (Amaranthus retroflexus). Weed Sci 37:8492.Google Scholar
Lindsey, LE, Steinke, K, Warncke, DD, Everman, WJ (2013) Nitrogen release from weed residue. Weed Sci 61:334340.Google Scholar
McSwiney, CP, Robertson, GP (2005) Nonlinear response of N2O flux to incremental fertilizer addition in a continuous maize (Zea mays L.) cropping system. Glob Change Biol 11:17121719.Google Scholar
Millar, N, Robertson, GP, Grace, PR, Gehl, RJ, Hoben, JP (2010) Nitrogen fertilizer management for nitrous oxide (N2O) mitigation in intensive corn (Maize) production: an emissions reduction protocol for US Midwest agriculture. Mitig Adapt Strateg Glob Change 15:185204.Google Scholar
Mitchell, DC, Castellano, MJ, Sawyer, JE, Pantoja, J (2013) Cover crop effects on nitrous oxide emissions: role of mineralizable carbon. Soil Sci Soc Am J 77:17651773.Google Scholar
Mosier, AR, Halvorson, AD, Reule, CA, Liu, XJ (2006) Net global warming potential and greenhouse gas intensity in irrigated cropping systems in northeastern Colorado. J Environ Qual 35:15841598.Google Scholar
Murdock, EC, Banks, PA, Toler, JE (1986) Shade development effects on pitted morningglory (Ipomoea lacunosa) interference with soybean (Glycine max). Weed Sci 34:711717.Google Scholar
Nangia, V, Sunohara, MD, Topp, E, Gregorich, EG, Drury, CF, Gottschall, N, Lapen, DR (2013) Measuring and modeling the effects of drainage water management on soil greenhouse gas fluxes from corn and soybean fields. J Environ Manag 129:652664.Google Scholar
Nelson, KA, Renner, KA (1998) Weed control in wide- and narrow-row soybean (Glycine max) with imazamox, imazethapyr, and CGA-277476 plus quizalofop. Weed Technol 12:137144.Google Scholar
Parkin, TB (2008) Effect of sampling frequency on estimates of cumulative nitrous oxide emissions. J Environ Qual 37:13901395.Google Scholar
Parkin, TB, Kaspar, TC (2006) Nitrous oxide emissions from corn–soybean systems in the Midwest. J Environ Qual 35:14961506.Google Scholar
Parkin, TB, Venterea, RT (2010) Chapter 3. Chamber-based trace gas flux measurements. Pages 3-1 to 3-39. in Follett, RF, ed. Sampling Protocols. Available at: http://www.ars.usda.gov/research/GRACEnet. Accessed December 18, 2014.Google Scholar
Patterson, DT (1995) Effects of environmental stress on weed/crop interactions. Weed Sci 43:483490.Google Scholar
Pedersen, AR, Petersen, SO, Schelde, K (2010) A comprehensive approach to soil-atmosphere trace-gas flux estimation with static chambers. Eur J Soil Sci 61:888902.Google Scholar
Reddy, KN, Zablotowicz, RM, Locke, MA, Koger, CH (2003) Cover crop, tillage, and herbicide effects on weeds, soil properties, microbial populations, and soybean yield. Weed Sci 51:987994.Google Scholar
Rich, AM, Renner, KA (2007) Row spacing and seeding rate effects on eastern black nightshade (Solanum ptycanthum) and soybean. Weed Technol 21:124130.Google Scholar
Rochette, P, Janzen, HH (2005) Towards a revised coefficient for estimating N2O emissions from legumes. Nutr Cycl Agroecosyst 73:171179.Google Scholar
Sharratt, BS, McWilliams, DA (2005) Microclimatic and rooting characteristics of narrow-row versus conventional-row corn. Agron J 97:11291135.Google Scholar
Suhre, JJ, Weidenbenner, NH, Rowntree, SC, Wilson, EW, Naeve, SL, Conley, SP, Casteel, S, Diers, BW, Esker, PD, Specht, JE, Davis, VM (2014) Soybean partitioning changes revealed by genetic gain and seeding rate interactions. Agron J 106:16311642.Google Scholar
Taylor, HM (1980) Soybean growth and yield as affected by row spacing and by seasonal water supply. Agron J 72:543547.Google Scholar
[USEPA] U.S. Environmental Protection Agency (2014) Inventory of U.S. Greenhouse Gas Emissions and Sinks: 1990–2012. Washington, DC US Environmental Protection Agency. 529 pGoogle Scholar
Venterea, RT, Spokas, KA, Baker, JM (2009) Accuracy and precision analysis of chamber-based nitrous oxide gas flux estimates. Soil Sci Soc Am J 73:10871093.Google Scholar
Wagner‐Riddle, C, Furon, A, McLaughlin, NL, Lee, I, Barbeau, J, Jayasundara, S, Parkin, G, von Bertoldi, P, Warland, J (2007) Intensive measurement of nitrous oxide emissions from a corn–soybean–wheat rotation under two contrasting management systems over 5 years. Glob Change Biol 13:17221736.Google Scholar
Wang, J, Sainju, UM, Barsotti, JL (2012) Residue placement and rate, crop species, and nitrogen fertilization effects on soil greenhouse gas emissions. J Environ Prot 3:12381250.Google Scholar
Wax, LM, Pendleton, JW (1968) Effect of row spacing on weed control in soybeans. Weed Sci 16:462465.Google Scholar
Weier, KL, Doran, JW, Power, JF, Walters, DT (1993) Denitirfication and the dinitrogen/nitrous oxide ratio as affected by soil water, available carbon, and nitrate. Soil Sci Soc Am J 57:6672.Google Scholar
Wortman, SE, Francis, CA, Bernards, ML, Drijber, RA, Lindquist, JL (2012) Optimizing cover crop benefits with diverse mixtures and an alternative termination method. Agron J 104:14251435.Google Scholar
Yang, LF, Cai, ZC (2005) The effect of growing soybean (Glycine max . L.) on N2O emission from soil. Soil Biol Biochem 37:12051209.Google Scholar
Young, FL, Wyse, DL, Jones, RJ (1983) Effect of irrigation on quackgrass (Agropyron repends) interference in soybeans (Glycine max). Weed Sci 31:720727.Google Scholar
Zhou, XB, Yang, GM, Sun, SJ, Chen, YH (2010) Plant and row spacing effects on soil water and yield of rainfed summer soybean in the northern China. Plant Soil Environ 56:17.Google Scholar
Zimdahl, RL (1980) Weed-Crop Competition: A Review. Corvallis, OR International Plant Protection Center, Oregon State University, 195 pGoogle Scholar
Zumft, WG (1997) Cell biology and molecular basis of denitrification. Microbiol Mol Biol Rev 61:533616.Google Scholar
Supplementary material: PDF

Bailey et al. supplementary material

Figure S1

Download Bailey et al. supplementary material(PDF)
PDF 111.9 KB