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Environmental Triggers of Winter Annual Weed Emergence in the Midwestern United States

Published online by Cambridge University Press:  20 January 2017

Rodrigo Werle ,
Mark L. Bernards ,
Timothy J. Arkebauer  and
John L. Lindquist
Rodrigo Werle
Affiliation:
Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68583
Mark L. Bernards
Affiliation:
Western Illinois University, Macomb, IL 61455
Timothy J. Arkebauer
Affiliation:
Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68583
John L. Lindquist*
Affiliation:
Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68583
*
Corresponding author's E-mail: jlindquist1@unl.edu
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Abstract

Winter annual weeds are becoming prolific in agricultural fields in the midwestern United States. The objectives of this research were to understand the roles of soil temperature (daily average and fluctuation) and moisture on the emergence of nine winter annual weed species and dandelion and to develop predictive models for weed emergence based on the accumulation of modified thermal/hydrothermal time (mHTT). Experiments were established at Lincoln, NE; Mead, NE; and at two sites (irrigated and rainfed) near Clay Center, NE, in 2010 and 2011. In July of each year, 1,000 seeds of each species were planted in 15 by 20 by 6-cm mesh baskets installed between soybean rows. Soil temperature and water content were recorded at the 2-cm depth. Emerged seedlings were counted and removed from the baskets on a weekly basis until no additional emergence was observed in the fall, resumed in late winter, and continued until emergence ceased in late spring. Weather data were used to accumulate mHTT beginning on August 1. A Weibull function was selected to fit cumulative emergence (%) on cumulative mHTT (seven base temperature [Tbase ] by six base water potential [Ψbase ] by three base temperature fluctuation [Fbase ] candidate threshold values = 126 models); it was also fit to days after August 1 (DAA1), for a total of 127 candidate models per species. The search for optimal base thresholds was based on the theoretic-model comparison approach (Akaike information criterion [AIC]). All three components (Tbase , Ψbase , and Fbase ) were only important for Virginia pepperweed. For downy brome and purslane speedwell, including Tbase and Ψbase resulted in the best fit, whereas for dandelion including Tbase and Fbase resulted in the best fit. A model including only Tbase resulted in the best fit for most species included in this study (Carolina foxtail, shepherd's-purse, pinnate tansymustard, henbit, and field pansy). For field pennycress, the model based on DAA1 resulted in the best fit. Threshold values were species specific. Soil temperature was the major environmental factor influencing winter annual weed emergence. Even though soil moisture and often temperature fluctuation are essential for seed germination, Ψbase and Fbase were not as critical in the predictive models as initially expected. Most seedlings (> 90%) of downy brome, pinnate tansymustard, Carolina foxtail, henbit, and field pansy emerged during the fall. Virginia pepperweed, purslane speedwell, dandelion, shepherd's-purse, and field pennycress seedlings emerged during both fall and spring. The results of this research provide robust information on the prediction of the time of winter annual weed emergence, which can help growers make better management decisions.

Keywords

Carolina foxtail, Alopecurus carolinianus Walt. ALOCAdandelion, Taraxacum officinale G.H. Weber ex Wiggers TAROFdowny brome, Bromus tectorum L. BROTEfield pansy, Viola bicolor Pursh VIORAfield pennycress, Thlaspi arvense L. THLARhenbit, Lamium amplexicaule L. LAMAMpinnate tansymustard, Descurainia pinnata (Walt.) Britt. DESPIpurslane speedwell, Veronica peregrina L. VERPGshepherd's-purse, Capsella bursa-pastoris (L.) Medik. CAPBPVirginia pepperweed, Lepidium virginicum L. LEPVIGlycine max (L.) MerrAIC criterioninformation-theoretic model comparison approachmodified thermal/hydrothermal timeweather dataWeibull model
Type
Weed Biology and Ecology
Information
Weed Science , Volume 62 , Issue 1 , March 2014 , pp. 83 - 96
Copyright
Copyright © Weed Science Society of America 

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References

Literature Cited

Anderson, DR (2008) Model Based Inference in the Life Sciences: Primer on Evidence New York Springer. 184 pGoogle Scholar
Ball, DA, Frost, SM, Gitelman, AI (2004) Prediction timing of downy brome (Bromus tectorum) seed production using growing degree days. Weed Sci. 52:518–524 Google Scholar
Baskin, CC, Baskin, JM (1988) Germination ecophysiology of herbaceous plant species in a temperature region. Am J Bot. 75:286–305 CrossRefGoogle Scholar
Benech-Arnold, R, Sánchez, RA, Forcella, F, Kruk, BC, Ghersa, CM (2000) Environmental control of dormancy in weed seed banks in soil. Field Crops Res 67:105–122 Google Scholar
Bernards, ML, Sandell, LD (2011) Control Winter Annual Weed Early to Protect Crop Yield: CropWatch Nebraska Crop Production & Pest Management Information, March 18, 2011. Lincoln, NE University of Nebraska-Lincoln Extension, http://cropwatch.unl.edu/web/cropwatch/Archive?articleID=4491902. Accessed January 26, 2012Google Scholar
Blackshaw, RE, Brandt, RN, Entz, T (2002) Soil temperature and soil water effects on henbit emergence. Weed Sci. 50:494–467CrossRefGoogle Scholar
Bond, W, Davies, G, Turner, R (2007) The biology and non-chemical control of common chickweed (Stellaria media L.). Henry Doubleday Research Association, Coventry, UK. http://www.gardenorganic.org.uk/organicweeds/downloads/stellaria%20media.pdf. Accessed August 3, 2013Google Scholar
Bullied, WJ, Marginet, AM, Van Acker, RC (2003) Conventional- and conservation-tillage systems influence emergence periodicity of annual weed species in canola. Weed Sci. 51:886–897 CrossRefGoogle Scholar
Cici, SZH, Van Acker, RC (2009) A review of the recruitment biology of winter annual weeds in Canada. Can J Plant Sci. 89:575–589 CrossRefGoogle Scholar
Collis-George, N, Hector, JB (1966) Germination of seeds as influenced by matric potential and by area of contact between seed and soil water. Aust J Soil Res 4:145–164 Google Scholar
Crawley, MJ (2007) The R Book. West Sussex, UK J. Wiley. 942 pCrossRefGoogle Scholar
Daws, MI, Crabtree, LM, Dalling, JW, Mullins, CE, Burslem, DFRP (2008) Germination responses to water potential in neotropical pioneers suggest large-seeded species take more risks. Ann Bot. 102:945–985 Google Scholar
Fernandez-Quintanilla, C, Gonzalez-Andujar, JL, Appleby, AP (1990) Characterization of the germination and emergence response to temperature and soil moisture of Avena fatua and A. sterilis . Weed Res 30:289–295 Google Scholar
Forcella, F, Benech-Arnold, RL, Sanchez, RE, Ghersa, CM (2000) Modeling seedling emergence. Field Crops Res 67:123–139 Google Scholar
Grundy, AC, Phelps, K, Reader, RJ, Burston, S (2000) Modelling the germination of Stellaria media using the concept of hydrothermal time. New Phytol 148:433–444 Google Scholar
Gummerson, RJ (1986) The effect of constant temperatures and osmotic potential on the germination of sugar beet. J Exp Bot. 41:1431–1439 Google Scholar
Hasty, RF, Sprague, CL, Hager, AG (2004) Weed control with fall and early-preplant herbicide applications in no-till soybean. Weed Technol 18:887–892 CrossRefGoogle Scholar
Hillel, D (1998) Environmental Soil Physics. 2nd edn. San Diego Academic. 771 pGoogle Scholar
Izquierdo, J, Gonzalez-Andujar, JL, Bastida, F, Lezaun, JA, del Arco, MJS (2009) A thermal time model to predict corn poppy (Papaver rhoeas) emergence in cereal fields. Weed Sci. 57:660–664 CrossRefGoogle Scholar
Johnson, WG, Creech, JE, Mock, V (2008) Role of winter annual weeds as alternative hosts for soybean cyst nematode. Online. Crop Manag DOI:10.1094/CM-2008-0701-01-RVCrossRefGoogle Scholar
Kegode, GO, Pearce, RB, Bailey, TB (1998) Influence of fluctuating temperatures on emergence of shattercane (Sorghum bicolor) and giant foxtail (Setaria faberi). Weed Sci. 46:330–335 Google Scholar
Klute, A (1986) Water Retention: Laboratory Methods—Methods of Soil Analysis, Part 1, 2nd edn. Madison, WI Agron Monograph No 9 ASA. Pp 635–661 Google Scholar
Krausz, RF, Young, BG, Matthews, JL (2003) Winter annual weed control with fall-applied corn (Zea mays) herbicides. Weed Technol 17:516–520 Google Scholar
Lee, AT, Witt, WW (2001) Persistence and efficacy of fall-applied simazine and atrazine. Proc North Cent Weed Sci Soc 56:50 Google Scholar
Mayer, DG, Butler, DG (1993) Statistical validation. Ecol Model 68:21–32 Google Scholar
McIntyre, GI, Best, KF (1975) Studies on the flowering of Thlaspi arvense L, II: a comparative study of early- and late-flowering strains. Bot Gaz 136:151–158 Google Scholar
McMaster, GS, Wilhelm, WW (1997) Growing degree days: one equation, two interpretations. Agric For Meteorol 87:291–300 Google Scholar
Myers, MM, Curran, WS, VanGessel, MJ, Calvin, DD, Mortinsen, DA, Majek, BA, Karsten, HD, Roth, GW (2004) Predicting weed emergence for eight annual species in the northeastern United States. Weed Sci. 52:913–919 Google Scholar
Owen, MDK, Zelaya, IA (2005) Herbicide-resistant crops and weed resistance to herbicides. Pest Manag Sci. 61:301–311 Google Scholar
Radosevish, S, Holt, J, Ghersa, C (1997) Weed Ecology. 2nd edn. New York J Wiley. 589 pGoogle Scholar
Raynal, DJ, Bazzaz, FA (1975) Interference of winter annuals with Ambrosia artemisiifolia in early successional fields. Ecology. 56:35–49 CrossRefGoogle Scholar
Roberts, HA, Boddrell, JE (1983) Seed survival and periodicity of seedlings emergence in ten species of annual weeds. Ann Appl Biol. 102:523–532 Google Scholar
Roman, ES, Murphy, SD, Swanton, CJ (2000) Simulation of Chenopodium album seedling emergence. Weed Sci. 48:217–224 CrossRefGoogle Scholar
Saxton, KE, Rawls, WJ, Romberger, JS, Papendick, RI (1986) Estimating generalized soil-water characteristics from texture. Soil Sci Soc Am J. 50:1031–1036 CrossRefGoogle Scholar
Shaner, DL (2000) The impact of glyphosate-tolerant crops on the use of other herbicides and on resistance management. Pest Manag Sci. 56:320–326 Google Scholar
Song, Y, Ham, JM, Kirkham, MB, Kluitenberg, GJ (1998) Measuring soil water content under turfgrass using the dual-probe heat-pulse technique. J Am Soc Hortic Sci. 123:937–941 CrossRefGoogle Scholar
Swagata, BB, Martin, SW, Roberts, RK, Larson, JA, Hogan, RJ. Jr., Johnson, JL, Paxton, KW, Reeves, JM (2009) Adoption of conservation-tillage practices and herbicide resistant seed in cotton production. Agbioforum 12:258–268 Google Scholar
Tarara, JM, Ham, JM (1997) Measuring soil water content in the laboratory and field with dual-probe heat-capacity sensors. Agron J. 89:535–542 Google Scholar
Venkatesh, R, Harrison, SK, Riedel, RM (2000) Weed hosts of soybean cyst nematode (Heterodera glycines) in Ohio. Weed Technol 14:156–160 CrossRefGoogle Scholar
Werle, R, Bernards, ML, Giesler, LJ, Lindquist, JL (2013) Influence of two herbicides on soybean cyst nematode (Heterodera glycines) reproduction on henbit (Lamium amplexicaule) roots. Weed Technol 27:41–46 Google Scholar