Hostname: page-component-77c89778f8-vpsfw Total loading time: 0 Render date: 2024-07-21T09:10:45.009Z Has data issue: false hasContentIssue false
  • English
  • Français

Geographic Information System for Pigweed Distribution in the US Southeast

Published online by Cambridge University Press:  06 February 2018

Reginald S. Fletcher  and
Krishna N. Reddy
Reginald S. Fletcher*
Affiliation:
Research Agronomist, US Department of Agriculture, Agricultural Research Service, Crop Production Systems Research Unit, P.O. Box 350, Stoneville, MS, USA
Krishna N. Reddy
Affiliation:
Research Plant Physiologist, US Department of Agriculture, Agricultural Research Service, Crop Production Systems Research Unit, P.O. Box 350, Stoneville, MS, USA
*
Author for correspondence: Reginald S. Fletcher, US Department of Agriculture, Agricultural Research Service, Crop Production Systems Research Unit, P.O. Box 350, Stoneville, MS 38776. (Email: [email protected])
Get access Rights & Permissions [Opens in a new window]

Abstract

In the southeastern United States, Amaranthus, or pigweed species, have become troublesome weeds in agricultural systems. To implement management strategies for the control of these species, agriculturalists need information on areas affected by pigweeds. Geographic information systems (GIS) afford users the ability to evaluate agricultural issues at local, county, state, national, and global levels. Also, they allow users to combine different layers of geographic information to help them develop strategic plans to solve problems. Furthermore, there is a growing interest in testing free and open-source GIS software for weed surveys. In this study, the free and open-source software QGIS was used to develop a geographic information database showing the distribution of pigweeds at the county level in the southeastern United States. The maps focused on the following pigweeds: Palmer amaranth, redroot pigweed, and tall waterhemp. Cultivated areas and glyphosate-resistant (GR) pigweed data were added to the GIS database. Database queries were used to demonstrate applications of the GIS for precision agriculture applications at the county level, such as tallying the number of counties affected by the pigweeds, identifying counties reporting GR pigweed, and identifying cultivated areas located in counties with GR pigweeds. This research demonstrated that free and open-source software such as QGIS has strong potential as a decision support tool, with implications for precision weed management at the county scale.

Keywords

Kevin Bradley, University of MissouriPalmer amaranth, Amaranthus palmeri S. Wats. AMAPApigweeds, Amaranthus spp.redroot pigweed, Amaranthus retroflexus L. AMAREtall waterhemp, Amaranthus tuberculatus (Moq.) Sauer AMATUQGISopen-source softwarefreewareNational Agricultural Statistics Datasurveys
Type
Symposium
Information
Weed Technology , Volume 32 , Issue 1 , February 2018 , pp. 20 - 26
Copyright
© Weed Science Society of America, 2018 

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

Andreas, M (2007) Strategy for groundwater management in developing countries: a case study in Northern Costa Rica. J Hydrol 334:109–124 Google Scholar
Boonyanuphap, J, Wattanachaiyingcharoen, D, Sakurai, K (2004) GIS-based land suitability assessment for Musa (ABB group) plantation. J Appl Hort 6:3–10 Google Scholar
Boryan, C, Yang, Z, Di, L (2012) Deriving 2011 cultivated land cover data sets using USDA national agricultural statistics service historic cropland data layers. Pages 6297–6300 in Proceedings of IEEE International Geoscience and Remote Sensing Symposium. Piscataway, NJ: IEEEGoogle Scholar
Cagnacci, F, Urbano, F (2008) Managing wildlife: a spatial information system for GPS collars data. Environ Modell Softw 23:957–959 Google Scholar
Chahal, PS, Aulakh, JS, Jugulam, M, Jhala, AJ (2015) Herbicide-resistant Palmer amaranth (Amaranthus palmeri S. Wats.) in the United States—mechanisms of resistance, impact, and management. Pages 1–29 in Price A, Kelton J, Sarunaite L, eds. Herbicides, Agronomic Crops and Weed Biology. Rijeka, Croatia: InTechGoogle Scholar
Chen, D, Shams, S, Carmona-Moreno, C, Leone, A (2010) Assessment of open source GIS software for water resources management in developing countries. J Hydro-Environ Res 4:253–264 Google Scholar
Clay, SA, ed. (2011) GIS Applications in Agriculture Vol 3: Invasive Species. Boca Raton, FL: CRC Press. 448 pGoogle Scholar
Clay, SA, Shanahan, JF, eds. (2011) GIS Applications in Agriculture Vol 2: Nutrient Management for Energy Efficiency. Boca Raton, FL: CRC Press. 472 pCrossRefGoogle Scholar
Dille, JA, Vogel, JW, Rider, TW, Wolf, RE (2011) Creating and using weed maps for site-specific management. Pages 405–418 in Clay SA, ed. GIS Applications in Agriculture Vol. 3: Invasive Species. Boca Raton, FL: CRC Press Google Scholar
EDDMaps (2016) Early Distribution and Detection Mapping System. The University of Georgia—Center for Invasive Species and Ecosystem Health. http://www.eddmaps.org. Accessed: December 20, 2016Google Scholar
Fletcher, RS (2009) Applications of GIS to citriculture. J Appl Hort 11:3–9 Google Scholar
Fox, JC, Pullar, DV (2011) Improving surveillance for invasive plants: a GIS toolbox for surveillance decision support. Pages 255–276 in Clay S, ed. GIS Applications in Agriculture Vol 3: Invasive Species. Boca Raton, FL: CRC Press Google Scholar
Free Software Foundation (2016) GNU General Public License. https://www.gnu.org/licenses/gpl-3.0.html. Accessed: May 1, 2017Google Scholar
Gumz, MS, Weller, SC (2011) Using GIS to map and manage weeds in field crops. Pages 301–318 in Clay S, ed. GIS Applications in Agriculture Vol. 3: Invasive Species. Boca Raton, FL: CRC Press Google Scholar
Heap, I [Internet] (2015) International Survey of Herbicide Resistant Weeds. http://www.weedscience.org/in.aspx. Accessed: December 4, 2017Google Scholar
Hollis, P (2011) Resistant pigweed confirmed in 20 Alabama counties. Southeast Farm Press. http://www.southeastfarmpress.com/management/resistant-pigweed-confirmed-20-alabama-counties. Accessed: December 19, 2016Google Scholar
Johnson, WG, Davis, VM, Kruger, GR, Weller, SC (2009) Influence of glyphosate-resistant cropping systems on weed species shifts and glyphosate-resistant weed populations. Eur J Agron 31:162–172 Google Scholar
Keener, BR, Diamond, AR, Davenport, LJ, Davison, PG, Ginzbarg, SL, Hansen, CJ, Major, CS, Spaulding, DD, Triplett, JK, Woods, M (2017) Redroot pigweed. Alabama Plant Atlas. http://www.floraofalabama.org. Accessed: January 13, 2017Google Scholar
Luijten, JC, Knapp, EB, Sanz, SI, Jones, JW (2003) A role for GIS-based simulation for empowering local stakeholders in water resources negotiations in developing countries: case studies for two rural hillside watersheds in Honduras and Colombia. Water Policy 5:213e236 CrossRefGoogle Scholar
Mandal, AK, Sharma, RC (2006) Computerized database of salt-affected soils for agro-climatic regions in the Indo-Gangetic Plain of India using GIS. Geocarto Int 21(2):47–57 CrossRefGoogle Scholar
Nandula, VK, Ray, JD, Ribeiro, DN, Pan, Z, Reddy, KN (2013) Glyphosate resistance in tall waterhemp (Amaranthus tuberculatus) from Mississippi is due to both altered target-site and nontarget-site mechanisms. Weed Sci 61:374–383 Google Scholar
Neteler, M, Bowman, MH, Landa, M, Metz, M (2012) Grass GIS: a multi-purpose open source GIS. Environ Modell Softw 31:124–130 Google Scholar
Nichols, RL, Bond, J, Culpepper, AS, Dodds, D, Nandula, V, Main, CL, Marshall, MW, Mueller, TC, Norsworthy, JK, Price, A, Patterson, M, Scott, RC, Smith, KL, Steckel, LE, Stephenson, D, Wright, D, York, AC (2009) Glyphosate-resistant Palmer amaranth (Amaranthus palmeri) spreads in the southern United States (U.S.). Resistant Pest Management Newsletter 18:8–10 Google Scholar
Norsworthy, JK, Griffith, G, Griffin, T, Bagavathiannan, M, Gbur, EE (2014) In-field movement of glyphosate-resistant Palmer amaranth (Amaranthus palmeri) and its impact on cotton lint yield: evidence supporting a zero-threshold strategy. Weed Sci 62:237–249 Google Scholar
Poirier, AH, York, AC, Jordan, DL, Chandi, A, Everman, WJ, Whitaker, JR (2014) Distribution of glyphosate- and thifensulfuron-resistant Palmer amaranth (Amaranthus palmeri) in North Carolina. Int J Agron 2014:747810 Google Scholar
Reitsma, KD, Clay, SC (2011) Using GIS to investigate weed shifts after two cycles of a corn/soybean rotation. Pages 373–404 in Clay S, ed. GIS Applications in Agriculture Vol. 3: Invasive Species. Boca Raton, FL: CRC Press Google Scholar
Richardson, AJ, Wiegand, CL, Anderson, GL, Gerbermann, AH (1996) Six exemplary applications of GIS technology to subtropical Texas agriculture and natural resources. Gecarto Int 11:49–60 Google Scholar
Stallman, R (1985) The GNU manifesto. Dr Dobb’s J 10:30 Google Scholar
Stephenson, D, Miller, D, Copes, J (2016) Herbicide programs for managing glyphosate-resistant Palmer amaranth and common waterhemp in Louisiana corn, cotton and soybean. Baton Rouge, LA: LSU Agricultural Center, Research, Extension, and Teaching. http://www.lsuagcenter.com/~/media/system/5/3/2/5/53253b1cb249dd7efdf11ef280f9c775/pub3522herbicideprogramsformanagingglyphosateresispdf.pdf Google Scholar
Steiniger, S, Bocher, E (2009) An overview on current free and open source desktop GIS developments. Int J Geogr Inf Sci 23:1345–1370 Google Scholar
Steiniger, S, Hay, G (2009) Free and open source geographic information tools for landscape ecology. Ecol Inform 4:183–195 CrossRefGoogle Scholar
Steiniger, S, Weibel, R (2009) GIS software—a description in 1000 words. http://www. geo.uzh.ch/~sstein/manuscripts/gissoftware_steiniger2008.pdf. Accessed: May 1, 2017Google Scholar
Steiniger, S, Hunter, JSA (2013) The 2012 free and open source GIS software map––a guide to facilitate research, development, and adoption. Comput Environ Urban Syst 39:136–150 CrossRefGoogle Scholar
University of Georgia (2012) Glyphosate-resistant palmer amaranth map. http://gaweed.com/HomepageFiles/PalmerMap2012.png. Accessed: December 19, 2012Google Scholar
Usery, EL, Pocknee, S, Boydell, B (1995) Precision farming data management using geographic information systems. Photogramm Eng Rem S 61: 1383–1391 Google Scholar
Webster, TM, Nichols, RL (2012) Changes in the prevalence of weed species in the major agronomic crops of the Southern United States: 1994/1995 to 2008/2009. Weed Sci 60:145–157 CrossRefGoogle Scholar
Weed Science Group (2015) Palmer amaranth and waterhemp continues to expand across Kentucky. http://weedscience.ca.uky.edu/news-story/palmer-amaranth-and-waterhemp-continues-expand-across-kentucky. Accessed: December 19, 2012Google Scholar
Wilson, JP (1999) Local, national, and global applications of GIS in agriculture. Pages 981–998 in Longley PA, Goodchild MF, Maguire DJ, Rhind DW, eds. Geographical Information Systems: Principles, Techniques, Management, and Applications. New York, NY: John Wiley and Sons Google Scholar
Yagoub, MM, Engel, B (2009) Remote sensing and geographic information systems in developing countries: case of the United Arab Emirates (UAE). J Terrestr Obs 1:69–88 Google Scholar