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Biology and Control of Creeping Rivergrass (Echinochloa polystachya) in Rice

Published online by Cambridge University Press:  20 January 2017

R. Matthew Griffin ,
Eric P. Webster ,
Wei Zhang  and
David C. Blouin
R. Matthew Griffin
Affiliation:
School of Plant, Environmental, and Soil Sciences, Louisiana State University AgCenter, 104 M. B. Sturgis Hall, Baton Rouge, LA 70803
Eric P. Webster*
Affiliation:
School of Plant, Environmental, and Soil Sciences, Louisiana State University AgCenter, 104 M. B. Sturgis Hall, Baton Rouge, LA 70803
Wei Zhang
Affiliation:
School of Plant, Environmental, and Soil Sciences, Louisiana State University AgCenter, 104 M. B. Sturgis Hall, Baton Rouge, LA 70803
David C. Blouin
Affiliation:
Department of Experimental Statistics, 45 Ag Administration Building, Louisiana State University, Baton Rouge, LA 70803
*
Corresponding author's E-mail: ewebster@agcenter.lsu.edu
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Abstract

Rice was planted at 78 kg/ha with different densities of creeping rivergrass. Creeping rivergrass at stand densities (SD) of 10,000 to 70,000 stolon segments/ha produced 5.4 to 6 stolons per introduced segment; however, 130,000 through 520,000 SD produced 1.4 to 2.1 stolons per segment. Stolon production was 60,000 plants/ha and increased to 760,000 stolons/ha at planting densities of 10,000 to 520,000/ha, respectively. The 260,000 and 520,000 SD produced similar stolon lengths of 217 and 318 km/ha; however, stolon length was less at lower SD. Total node production was 290,000 nodes per ha with an average of 29 nodes per segment in the 10,000 SD and 5.4 to 9.8 nodes per segment with 70,000 or greater SD. Total biomass increased as SD increased. Creeping rivergrass shoot emergence from soil was 31, 63, 44, and 25% for segments planted at 0, 1.3, 2.5, and 5 cm deep, respectively. In a greenhouse study, glyphosate at 1,260 g ai/ha controlled creeping rivergrass 91% and biomass production was 19% of the nontreated creeping rivergrass. Bispyribac, cyhalofop, fenoxaprop/s, fenoxaprop/s plus fenoxaprop, glufosinate, imazethapyr, penoxsulam, propanil, and quinclorac were less effective than glyphosate.

Keywords

Bispyribacclomazonecyhalofopfenoxapropglufosinateglyphosateimazethapyrpenoxsulampropanilquincloracbarnyardgrass, Echinochloa crus-galli (L.) Beauv. ECHCGcreeping rivergrass, Echinochloa polystachya (Kunth) A.S. Hitchc., riceOryza sativa L.BarynardgrassEchinochloa crus-galliperennial grass
Type
Research
Information
Weed Technology , Volume 22 , Issue 1 , March 2008 , pp. 1 - 7
Copyright
Copyright © Weed Science Society of America 

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References

Literature Cited

Alm, D. M., Wax, L. M., and Stoller, E. W. 2000. Weed suppression for weed management in corn (Zea mays) and soybean (Glycine max) production systems. Weed Technol. 14:713–717.CrossRefGoogle Scholar
Baruch, Z. 1994. Response of drought and flooding to tropical forage grasses. Plant Soil 164:87–96.Google Scholar
Baruch, Z. and Merida, T. 1995. Effects of drought and flooding on root anatomy in four tropical forage grasses. Int. J. Plant Sci. 156:514–531.Google Scholar
Bayer, D. E. 1991. Weed Management. Pages 287–309. in Luh, B. S., editor. Rice Production, Vol. I, 2nd ed. Chapter 8. New York, NY Van Nostrand Reinhold.Google Scholar
Csurhes, S. and Edwards, R. 1998. Potential environmental weeds in Australia: Candidate species for preventative control. Queensland Department of Natural Resources. http://www.deh.gov.au/biodiversity/invasive/weeds/. Accessed: September 26, 2006.Google Scholar
De Datta, S. K., Bolton, F. R., and Lin, W. L. 1979. Prospects for using minimum and zero tillage in tropical lowland rice. Weed Res. 19:9–15.Google Scholar
Eleftherohorinos, I. G. and Dhima, K. V. 2002. Red rice (Oryza sativa) control in rice (O. sativa) with preemergence and postemergence herbicides. Weed Technol. 16:537–540.Google Scholar
Griffin, R. M., Webster, E. P., Leon, C. T., Zhang, W., and Mudge, C. R. 2004. Comparison of rice graminicides in Louisiana rice. Proc. South. Weed Sci. Soc. 57:58.Google Scholar
Helms, R. S. and Slaton, N. 1996. Rice stand establishment. Pages 17–20. in. Rice Production Handbook. Little Rock, AR University of Arkansas, Cooperative Extension Service Publication MP 192.Google Scholar
Holm, L. G., Plucknett, D. L., Pancho, J. V., and Herbenger, J. P. 1977. The Worlds Worst Weeds: Distribution and Biology. Honolulu, HI University of Hawaii Press. 609.Google Scholar
Hsiao, A. I. and Huang, W. Z. 1989. Effects of flooding on rooting and sprouting of isolated stem segments and on plant growth of Paspalum distichum L. Weed Res. 29:335–344.Google Scholar
Huang, W. Z., Hsiao, A. I., and Jordan, L. 1987. Effects of temperature, light and certain growth regulating substances on sprouting, rooting, and growth of single-node rhizome and shoot segments of Paspalum distichum L. Weed Res. 27:57–67.Google Scholar
Jordan, D. and Sanders, D. E. 1999. Pest Management. Pages 37–50. in. Louisiana Rice Production Handbook. Pub. 2321. Baton Rouge, LA Louisiana State University Agricultural Center.Google Scholar
Junk, W. J., Bayley, P. B., and Sparks, R. E. 1989. The flood pulse concept in river-floodplain systems. Pages 110–127. in Dodge, D. P., editor. Proceedings of the International Large River Symposium (LARS). Can. Spec. Publ. Fish. Aquat. Sci. 106.Google Scholar
Junk, W. J. and Piedade, M. T. F. 1993. Biomass and primary production of herbaceous plant communties in the Amazon floodplain. Hydrobiologia 263:155–162.Google Scholar
Lanclos, D. Y., Webster, E. P., and Zhang, W. 2002. Glufosinate tank-mix combinations in glufosinate-resistant rice (Oryza sativa). Weed Technol. 16:659–663.Google Scholar
Linscombe, S. D., Saichuk, J. K., Seilhan, K. P., Bollich, P. K., and Funderburg, E. R. 1999. General agronomic guidelines. Pages 5–12. in. Louisiana Rice Production Handbook. Pub. 2321. Baton Rouge, LA Louisiana State University Agricultural Center.Google Scholar
Lopez-Martinez, N., Marshall, G., and De Prado, R. 1997. Resistance of barnyardgrass (Echinochloa crus-galli) to atrazine and quinclorac. Pestic. Sci. 51:171–175.Google Scholar
[LOSC] 2006. Louisiana Office of State Climatology. http://www.losc.lsu.edu/. Accessed: verified September 26, 2006.Google Scholar
Maun, M. A. and Barrett, S. C. H. 1986. The biology of Canadian weeds: Echinochloa crus-galli (L.) Beauv. Can. J. Plant Sci. 66:739–759.Google Scholar
Medeiros, R. M. T., Riet-Correa, F., Tabosa, I. M., Silva, Z. A., Barbosa, R. C., Marques, A. V. M. S., and Nogueira, F. R. B. 2003. Nitrate and nitrite poisoning in cattle caused by the ingestion of Echinochloa polystachya and Pennisetum purpureum in the semiarid region of the state of Paraiba. Pesquisa Veterinaria Brasileira 23:17–20.Google Scholar
Miller, T. C. and Street, J. E. 2000. Mississippi rice growers guide. Starkville, MS Mississippi State University Extension Service Publication 2251. 23.Google Scholar
Mitich, L. W. 1990. Intriguing world of weeds—barnyardgrass. Weed Technol. 4:918–920.CrossRefGoogle Scholar
Morrison, J. I. L., Piedade, M. T. F., Muller, E., Long, S. P., Junk, W. J., and Jones, M. B. 2000. Very high productivity of the C-4 aquatic grass Echinochloa polystachya in the Amazon floodplain confirmed by net ecosystem CO2 flux measurements. Oecologia 135:400–411.Google Scholar
Norris, R. F., Elmore, C. L., Rejmanek, M., and Akey, W. C. 2000. Spatial arrangement, density, and competition between barnyardgrass and tomato: II. Barnyardgrass growth and seed production. Weed Sci. 49:69–76.Google Scholar
Norris, J. L., Shaw, D. R., and Snipes, C. E. 2001. Weed control from herbicide combinations with three formulations of glyphosate. Weed Technol. 15:552–558.CrossRefGoogle Scholar
Ogg, A. G. Jr and Dawson, J. H. 1984. Time of emergence of eight weed species. Weed Sci. 32:327–335.Google Scholar
Okuma, M., Chikura, S., and Moriyama, G. 1983. Ecology and control of a subspecies of Paspalum distichum L. ‘Chikugosuzumenohie’ growing in creeks in the paddy area on the lower reaches of the Chikugo river. Weed Res. Japan 28:31–34.Google Scholar
Ottis, B. V., Chandler, J. M., and McCauley, G. N. 2003. Imazethapyr application methods and sequences for imidazolinone-tolerant rice (Oryza sativa). Weed Technol. 17:526–533.CrossRefGoogle Scholar
Piedade, M. F. G., Junk, W. J., and Long, S. P. 1991. The productivity of the C4 grass Echinochloa polystachya on the Amazon floodplain. Ecology 72:1456–1463.Google Scholar
Piedade, M. F. G., Junk, W. J., and Long, S. P. 1997. Nutrient dynamics of the highly productive C-4 macrophyte Echinochloa polystachya on the Amazon floodplain. Functional Ecology 11:60–65.Google Scholar
Pizzaro, H. 1999. Periphyton biomass on Echinochloa polystachya (H.B.K.) Hitch. of a lake of the lower Parana river floodplain, Argentina. Hydrobiologia 397:227–239.Google Scholar
Pompeo, M. L. M., Henry, R., and Moschini-Carlos, V. 1999. Chemical composition of tropical macrophyte Echinochloa polystachya (HBK) Hitchcock in Jurumirim Reservoir (Sao Paulo, Brazil). Hydrobiologia 411:1–11.Google Scholar
Pompeo, M. L. M., Henry, R., and Moschini-Carlos, V. 2001. The water level influence on biomass of Echinochloa polystachya (Poaceae) in the Jurumirim Reservoir (Sao Paulo, Brazil). Brazilian J. Biol. 61:19–26.Google Scholar
Reddy, K. N. 2000. Factors affecting toxicity, adsorption, and translocation of glyphosate in redvine (Brunnichia ovata). Weed Technol. 14:457–462.Google Scholar
Reddy, K. N. 2005. Deep tillage and glyphosate-reduced redvine (Brunnichia ovata) and trumpetcreeper (Campsis radicans) populations in glyphosate-resistant soybean. Weed Technol. 19:713–718.CrossRefGoogle Scholar
Sand-Jensen, K. and Borum, J. 1991. Interactions among phytoplankton, periphyton, and macrophytes in temperate freshwaters and estuaries. Aquat. Bot. 41:137–175.CrossRefGoogle Scholar
[SAS] Statistical Analysis Systems Institute 2003. SAS/STAT Users Guide. Version 9.1. Cary, NC 27513–2414. 1445.Google Scholar
Smith, R. J. 1968. Weed competition in rice. Weed Sci. 16:252–255.Google Scholar
Smith, R. J. 1988. Weed thresholds in southern U.S. rice, Oryza sativa. Weed Technol. 2:232–241.Google Scholar
Stauber, L. G., Smith, R. J., and Talbert, R. E. 1991. Density and special interference of barnyardgrass (Echinochloa crus-galli) with rice (Oryza sativa). Weed Sci. 39:163–168.Google Scholar
Stutzenbaker, C. D. 1999. Mudflat-millet, millet, river grass Echinochloa polystachya (Kunth in H.B.K.) A.S. Hitchc. Pages 368–369. in Stutzenbaker, C. D., editor. Aquatic and Wetland Plants of the Western Gulf Coast. Austin, TX Texas Parks and Wildlife Press.Google Scholar
Thomas, R. D. and Allen, C. M. 1993. Atlas of the Vascular Flora of Louisiana. Volume 1: Ferns anc Fern Allies, Conifers, and Monocotyledons. Baton Rouge, LA Louisiana Department of Wildlife and Fisheries. 218 p.Google Scholar
Valverde, B. E., Carmiol, J., Riches, C. R., Caseley, J. C., Vargas, E., Chaves, L., Garita, I., and Ramirez, F. 2001. Modified herbicide regimes for propanil-resistant junglerice control in rain-fed rice. Weed Sci. 49:395–405.Google Scholar
Vencill, W. K. 2002. Quinclorac. Pages 386–387. in Vencill, W. K., editor. Herbicide Handbook 8th ed. Lawrence, KS Weed Science Society of America, Lawrence, KS.Google Scholar
[USDA NRCS] United States Department of Agriculture National Resources Conservation Service Plants Database 2005. http://plants.usda.gov/. Accessed: September 26, 2006.Google Scholar
Walker, T. W. and Street, J. E. 2003. Rice Fertilization. Publication 1341. Mississippi State University Extension Service Coordinated Access to the Research and Extension System website. http://msucares.com/pubs/infosheets/i1341.pdf. Accessed: September 26, 2006.Google Scholar
Webster, T. M. 2004. The southern states 10 most common and troublesome weeds in rice. Proc. South. Weed Sci. Soc. 57:416.Google Scholar