Hostname: page-component-cd9895bd7-dk4vv Total loading time: 0 Render date: 2024-12-25T06:38:33.175Z Has data issue: false hasContentIssue false

In-Field Movement of Glyphosate-Resistant Palmer Amaranth (Amaranthus palmeri) and Its Impact on Cotton Lint Yield: Evidence Supporting a Zero-Threshold Strategy

Published online by Cambridge University Press:  20 January 2017

Jason K. Norsworthy*
Affiliation:
University of Arkansas, Department of Crop, Soil, and Environmental Sciences, 1366 West Altheimer Drive, Fayetteville, AR 72704
Griff Griffith
Affiliation:
University of Arkansas, Department of Crop, Soil, and Environmental Sciences, 1366 West Altheimer Drive, Fayetteville, AR 72704
Terry Griffin
Affiliation:
Cresco Ag, Little Rock, AR 72223
Muthukumar Bagavathiannan
Affiliation:
University of Arkansas, Department of Crop, Soil, and Environmental Sciences, 1366 West Altheimer Drive, Fayetteville, AR 72704
Edward E. Gbur
Affiliation:
Agricultural Statistics Laboratory, University of Arkansas, 101 Agricultural Annex Building, Fayetteville, AR 72701
*
Corresponding author's E-mail: [email protected]

Abstract

This research was aimed at understanding how far and how fast glyphosate-resistant (GR) Palmer amaranth will spread in cotton and the consequences associated with allowing a single plant to escape control. Specifically, research was conducted to determine the collective impact of seed dispersal agents on the in-field expansion of GR Palmer amaranth, and any resulting yield reductions in an enhanced GR cotton system where glyphosate was solely used for weed control. Introduction of 20,000 GR Palmer amaranth seed into a 1-m2 circle in February 2008 was used to represent survival through maturity of a single GR female Palmer amaranth escape from the 2007 growing season. The experiment was conducted in four different cotton fields (0.53 to 0.77 ha in size) with no history of Palmer amaranth infestation. In the subsequent year, Palmer amaranth was located as far as 114 m downslope, creating a separate patch. It is believed that rainwater dispersed the seeds from the original area of introduction. In less than 2 yr after introduction, GR Palmer amaranth expanded to the boundaries of all fields, infesting over 20% of the total field area. Spatial regression estimates indicated that no yield penalty was associated with Palmer amaranth density the first year after introduction, which is not surprising since only 0.56% of the field area was infested with GR Palmer amaranth in 2008. Lint yield reductions as high as 17 kg ha−1 were observed 2 yr after the introduction (in 2009). Three years after the introduction (2010), Palmer amaranth infested 95 to 100% of the area in all fields, resulting in complete crop loss since it was impossible to harvest the crop. These results indicate that resistance management options such as a “zero-tolerance threshold” should be used in managing or mitigating the spread of GR Palmer amaranth. This research demonstrates the need for proactive resistance management.

Type
Weed Biology and Ecology
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.)

References

Literature Cited

Anselin, L (1988) Spatial Econometrics: Methods and Models. Dordrecht, Netherlands Kluwer Academic. 284 pGoogle Scholar
Anselin, L (1999) Spatial Data Analysis with SpaceStat and ArcView Workbook, 3rd ed. http://www.terraseer.com/products/spacestat/docs/workbook.pdf. Accessed June 27, 2013Google Scholar
Anselin, L (2001) Rao's score test in spatial econometrics. J Stat Plann Inference. 97:113139 Google Scholar
Anselin, L (2003) GioDa 0.9 User's Guide. Urbana-Champaign, IL Spatial Analysis Laboratory, University of Illinois. http://www.unc.edu/∼emch/gisph/geoda093.pdf. Accessed September 19, 2013Google Scholar
Anselin, L, Bondiovanni, R, Lowenberg-DeBoer, J (2004) A spatial econometric approach to the economics of site-specific nitrogen management in corn production. Am J Agric Econ. 86:675687 Google Scholar
Bagavathiannan, MV, Norsworthy, JK (2012) Late-season seed production in arable weed communities: management implications. Weed Sci. 60:325334 Google Scholar
Bagavathiannan, MV, Norsworthy, JK, Scott, RC, Barber, TL (2013a) The Spread of Herbicide-Resistant Weeds: What Should Growers Know? University of Arkansas, Agriculture and Natural Resources, FSA 2171-PD-6-13NGoogle Scholar
Bagavathiannan, MV, Walsh, MJ, Norsworthy, JK, Powles, SB (2013b) Palmer amaranth seed collection potential in soybean at harvest. Weed Sci Soc Amer Abst Paper 88. 6 p [Abstract]Google Scholar
Beckie, HJ (2006) Herbicide resistant weeds: management tactics and practices. Weed Technol. 20:793814 Google Scholar
Beckie, HJ, Hall, LM, Schuba, B (2005) Patch management of herbicide-resistant wild oat (Avena fatua). Weed Technol. 19:697705 Google Scholar
Bell, MS, Tranel, PJ (2010) Time requirement from pollination to seed maturity in waterhemp (Amaranthus tuberculatus). Weed Sci. 58:167173 Google Scholar
Bryson, CT, DeFelice, MS (2009) Weeds of the South. Athens, GA University of Georgia Press. 34 pGoogle Scholar
Burton, MG, Mortensen, DA, Marx, DB (2005) Environmental characteristics affecting Helianthus annuus distribution in a maize production system. Agric Biosyst Environ. 111:3040 Google Scholar
Colbach, N, Forcella, F, Johnson, GA (2000) Spatial and temporal stability of weed populations over five years. Weed Sci. 48:366377 Google Scholar
Dieleman, JA, Mortensen, DA (1999) Characterizing the spatial pattern of Abutilon theoprasti seedling patches. Weed Res. 39:455467 Google Scholar
Dormann, CF (2007) Effects of incorporating spatial autocorrelation into the analysis of species distribution data. Global Ecol Biogeogr. 16:129138 Google Scholar
Goodchild, MF, Anselin, L, Appelbaum, R, Harthorn, B (2000) Toward spatially integrated social science. Int Reg Sci Rev. 23:139159 Google Scholar
Griffin, TW, Florax, RJ, Lowenber-DeBoer, GM (2006) Field-scale experimental designs and spatial econometric methods for precision farming: Strip-trial designs for rice production decision making in Southern Agricultural Economics Association Annual Meeting, Orlando, Florida, February 5–8, 2006. http://ageconsearch.umn.edu/bitstream/35367/1/sp06gr01.pdf. Accessed September 30, 2013Google Scholar
Heap, IM (2013) International Survey of Herbicide Resistant Weeds. http://www.weedscience.com. Accessed June 26, 2013Google Scholar
Heijting, S, Van der Werf, W, Kropff, MJ (2008) Seed dispersal by forage harvester and rigid-tine cultivator in maize. Weed Res. 49:153163 Google Scholar
James, C (2012) Global Status of Commercialized Biotech/GM Crops: 2012. ISAAA Briefs No. 44. http://www.isaaa.org/resources/publications/pocketk/16/. Accessed January 2, 2014Google Scholar
Jha, P, Norsworthy, JK (2009) Soybean canopy and tillage effects on emergence of Palmer amaranth (Amaranthus palmeri) from a natural seed bank. Weed Sci. 57:644651 Google Scholar
Jones, RE, Medd, RW (2000) Economic thresholds and the case for longer term approaches to population management of weeds. Weed Technol. 14:337350 Google Scholar
Kelley, AD, Bruns, VF (1975) Dissemination of weed seeds by irrigation water. Weed Sci. 23:486493 Google Scholar
Lichstein, JW, Simons, TR, Shriner, SA, Franzreb, KE (2002) Spatial autocorrelation and autoregressive models in ecology. Ecol Monogr. 72:445463 Google Scholar
Li, RH, Qiang, S (2009) Composition of floating weed species in lowland rice fields in China and the effects of irrigation frequency and previous crops. Weed Res. 49:417427 Google Scholar
Marshall, EJP, Brain, P (1999) The horizontal movement of seeds in arable soil by different soil cultivation methods. J Appl Ecol. 36:443454 Google Scholar
Norris, RF (1999) Ecological implications of using thresholds for weed management. Pages 3158 in Buhler, DD, ed. Expanding the Context of Weed Management. New York Haworth Google Scholar
Norsworthy, JK, Smith, KL, Steckel, LE, Koger, CH (2009) Weed seed contamination of cotton gin trash. Weed Technol. 23:574580 Google Scholar
Norsworthy, JK, Ward, S, Shaw, D, Llewellyn, R, Nichols, R, Webster, TM, Bradley, K, Frisvold, G, Powles, S, Burgos, N, Witt, W, Barrett, M (2012) Reducing the risks of herbicide resistance: best management practices and recommendations. Weed Sci. 60:3162 Google Scholar
Rejmánek, M, Pitcairn, MJ (2002) When is eradication of exotic pest plants a realistic goal? Pages 249253 in Veitch, CR, Clout, MN, eds. Turning The Tide: The Eradication of Invasive Species. Gland, Switzerland, and Cambridge, UK IUCN SSC Invasive Species Specialist Group Google Scholar
Rew, LJ, Cussans, GW (1997) Horizontal movement of seeds following tine and plough cultivation: implications for spatial dynamics of weed infestations. Weed Res. 37:247256 Google Scholar
Rew, LJ, Froud-Williams, RJ, Boatman, ND (1996) Dispersal of Bromus sterilis and Anthriscus sylvestris seed within arable field margins. Agric Ecosyst Environ. 59:107114 Google Scholar
Rognli, OD, Nilsson, NO, Nurminiemi, M (2000) Effects of distance and pollen competition on gene flow in the wind-pollinated grass Festuca pratensis Huds. Heredity. 85:550560 Google Scholar
Smith, KL, Doherty, RC, Bullington, JA, Meier, JR, Bagavathiannan, MV (2012) Seed production potential of Palmer amaranth in Arkansas. Pages 4043 in Oosterhuis, DE, ed. Summaries of Arkansas Cotton Research 2011. Little Rock, AR University of Arkansas Division of Agriculture AAES Research Series 602Google Scholar
Sosnoskie, LM, Webster, TM, Kichler, JM, MacRae, AW, Grey, TL, Culpepper, AS (2012) Pollen-mediated dispersal of glyphosate-resistance in Palmer amaranth under field conditions. Weed Sci. 60:366373 Google Scholar
[SSURGO] Soil Survey Geographic Database (2012) Web Soil Survey. http://websoilsurvey.nrcs.usda.gov/app/HomePage.htm. Accessed September 30, 2013Google Scholar
Stern, VM, Smith, RF, van den Bosh, R, Hagen, KS (1959) The integrated control concept. Hilgardia. 29:8199 Google Scholar
Swanton, CJ, Booth, BD (2004) Management of weed seed banks in the context of populations and communities. Weed Technol. 18:14961502 Google Scholar
Swanton, CJ, Weaver, S, Cowan, P, Van Acker, R, Deen, W, Shreshta, A (1999) Weed thresholds: theory and applicability. Pages 929 in Buhler, DD, ed. Expanding the Context of Weed Management. New York Haworth Google Scholar
Thill, DC, Mallory-Smith, CA (1997) The nature and consequence of weed spread in cropping systems. Weed Sci. 45:337342 Google Scholar
[USDA] U.S. Department of Agriculture (2011) National Agricultural Statistics Service. Agricultural Chemical Use Database. http://usda01.library.cornell.edu/usda/nass/AgriChemUsFC//2010s/2011/AgriChemUsFC-05-25-2011.txt. Accessed September 30, 2013Google Scholar
Van der Pijl, L (1972) Principles of Dispersal in Higher Plants. Berlin Springer. 153 pGoogle Scholar
Webster, TM (2005) Patch expansion of purple nutsedge (Cyperus rotundus) and yellow nutsedge (Cyperus esculentus) with and without polyethylene mulch. Weed Sci. 53:839845 Google Scholar
Webster, TM, Cardina, J, Woods, SJ (2000) Spatial and temporal expansion patterns of Apocynum cannabinum patches. Weed Sci. 48:728733 Google Scholar
Welk, E (2004) Constraints in range predictions of invasive plant species due to non-equilibrium distribution patterns: purple loosestrife (Lythrum salicaria) in North America. Ecol Model. 179:551567 Google Scholar
Wiles, LJ, Olive, GW, York, AC, Gold, HJ, Wilkerson, GG (1992) Spatial distribution of broadleaf weeds in North Carolina soybean (Glycine max) fields. Weed Sci. 40:554557 Google Scholar
Wilson, BJ, Brain, P (1991) Long-term stability of distribution of Alopecurus myosuroides Huds. within cereal fields. Weed Res. 31:367373 Google Scholar