Hostname: page-component-7c8c6479df-p566r Total loading time: 0 Render date: 2024-03-28T20:14:44.028Z Has data issue: false hasContentIssue false

Stakeholder and field surveys on weed issues and research needs in rice production in Texas

Published online by Cambridge University Press:  05 October 2020

Rui Liu
Affiliation:
Graduate Research Assistant, Department of Soil and Crop Sciences, Texas A&M University, College Station, TX, USA; current: Assistant Scientist, Kansas State University Agricultural Research Station, Hays, KS, USA
Vijay Singh
Affiliation:
Assistant Research Scientist, Department of Soil and Crop Sciences, Texas A&M University, College Station, TX, USA; current: Assistant Professor, Virginia Tech Eastern Shore Agricultural Research and Extension Center, Painter, VA, USA
Xin-Gen Zhou
Affiliation:
Associate Professor, Texas A&M Research and Extension Center, Beaumont, TX, USA
Muthukumar Bagavathiannan*
Affiliation:
Associate Professor, Department of Soil and Crop Sciences, Texas A&M University, College Station, TX, USA.
*
Author for correspondence: Muthukumar Bagavathiannan, Department of Soil and Crop Sciences, Texas A&M University, 370 Olsen Blvd., College Station, TX, 77843. (Email: muthu@tamu.edu)

Abstract

A paper-based survey was conducted from 2015 to 2017 among stakeholders of the Texas rice industry on current weed management challenges and factors influencing management decisions. A total of 108 survey questionnaires were completed by stakeholders at the rice Cooperative Extension meetings conducted in the rice-growing counties of Texas. In addition, late-season field surveys were conducted prior to harvest in 2015 and 2016 across the rice-growing counties to understand dominant weed escapes occurring in rice fields. Results from the questionnaire survey revealed that rice–fallow–rice was the most common rotation practiced in Texas rice production. Echinochloa spp., Leptochloa spp., and Cyperus spp. were the top three problematic weed issues faced by the respondents. Among the Leptochloa species, Nealley’s sprangletop, a relatively new species in rice fields, was indicated as an emerging concern. Clomazone was the most frequently used PRE herbicide, whereas quinclorac, propanil, imazethapyr, and cyhalofop were the popular POST herbicides. Most respondents (72%) made weed-control decisions on the basis of economic thresholds, whereas 63% made decisions on the basis of weed problems from previous years. Most respondents (88%) expressed moderate to high concern for herbicide-resistant weeds in their operations. Strategies to manage herbicide-resistant weeds and economical weed management practices were among the top suggested research needs. The field survey revealed that jungle rice, Nealley’s sprangletop, and hemp sesbania were the top three late-season weed escapes in rice production in Texas, with frequencies of occurrence of 28%, 19%, and 13%, respectively. Furthermore, average field area infested by a species was the greatest for jungle rice (13%), followed by hemp sesbania (11%) and weedy rice (11%). Findings from the stakeholder and field surveys help direct future research and outreach efforts for sustainable weed management in Texas rice.

Type
Research Article
Copyright
© The Author(s), 2020. Published by Cambridge University Press on behalf of the 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: Jason Bond, Mississippi State University

References

Bagavathiannan, MV, Norsworthy, JK (2012) Late-season seed production in arable weed communities: management implications. Weed Sci 60:325334 CrossRefGoogle Scholar
Bagavathiannan, MV, Norsworthy, JK (2016) Multiple-herbicide resistance is widespread in roadside Palmer amaranth populations. PLoS One 11:827830 CrossRefGoogle ScholarPubMed
Baltazar, AM, Smith, RJ Jr (1994) Propanil-resistant barnyardgrass (Echinochloa crus-galli) control in rice (Oryza sativa). Weed Technol 8:576581 CrossRefGoogle Scholar
Bauer, TA, Mortensen, DA (1992) A comparison of economic and economic optimum thresholds for two annual weeds in soybeans. Weed Technol 6:228235 CrossRefGoogle Scholar
Bennett, D (2017) Provisia rice set to make jump in Mid-South acres. https://www.farmprogress.com/rice/provisia-rice-set-make-jump-mid-south-acres. Accessed: May 12, 2020Google Scholar
Bergeron, EA, Webster, EP, McKnight, BM, Rustom, SY Jr (2015) Evaluation of herbicides for Nealley’s sprangletop (Leptochloa nealleyi) control. In: IX Congresso Brasileiro de arroz irrigado, Pelotas, RS, Brazil, 11-14 August 2015. http://www.cbai2015.com.br/docs/trab-2-6875-365.pdf. Accessed March 15, 2020Google Scholar
Bollich, PK, Jordan, DL, Walker, DM, Burns, AB (2000) Rice (Oryza sativa) response to the microencapsulated formulation of clomazone. Weed Technol 14:8993 CrossRefGoogle Scholar
Bray, CI (1939) Improving beef cattle pastures on rice lands. LSU Agricultural Experiment Station Reports. 477. https://digitalcommons.lsu.edu/cgi/viewcontent.cgi?article=1476&context=agexp. Accessed: April 28, 2019Google Scholar
Brown, JL, Spencer, NR (1973) Vogtia malloi, a newly introduced phycitine moth (Lepidoptera: Pyralidae) to control alligatorweed. Environ Entomol 2:519524 CrossRefGoogle Scholar
Camargo, ER, Senseman, SA, McCauley, GN, Guice, JB (2011) Rice tolerance to saflufenacil in clomazone weed control program. Int J Agron 2011:article 402461CrossRefGoogle Scholar
Carey, VF, Hoagland, RE, Talbert, RE (1995) Verification and distribution of propanil-resistant barnyardgrass (Echinochloa crus-galli) in Arkansas. Weed Technol 9:366372 CrossRefGoogle Scholar
Frear, DS, Still, GG (1968) The metabolism of 3, 4-dichloropropionanilide in plants. Partial purification and properties of an aryl acylamidase from rice. Phytochemistry 7:913920 CrossRefGoogle Scholar
Gealy, DR, Mitten, DH, Rutger, JN (2003) Gene flow between red rice (Oryza sativa) and herbicide-resistant rice (O. sativa): implications for weed management. Weed Technol 7:627645 CrossRefGoogle Scholar
Geier, PW, Stahlman, PW, Charvat, LD (2009) Dose responses of five broadleaf weeds to saflufenacil. Weed Technol 23:313316 CrossRefGoogle Scholar
Gibson, KD, Johnson, WG, Hillger, DE (2006) Farmer perceptions of weed problems in corn and soybean rotation systems. Weed Technol 20:751755 CrossRefGoogle Scholar
Grossmann, K, Niggeweg, R, Christiansen, N, Looser, R, Ehrhardt, T (2010) The herbicide saflufenacil (Kixor™) is a new inhibitor of protoporphyrinogen IX oxidase activity. Weed Sci 58:19 CrossRefGoogle Scholar
Hartzler, RG, Battles, BA (2001) Reduced fitness of velvetleaf (Abutilon theophrasti) surviving glyphosate. Weed Technol 15:492496 CrossRefGoogle Scholar
Heap, I (2018) Herbicide resistance survey. http://www.weedscience.org. Accessed: April 5, 2019Google Scholar
Hill, JE, Bayer, DE, Bocchi, S, Clampett, WS (1991) Direct seeded rice in the temperate climates of Australia, Italy, and the United States. Pages 91–102 in Proceedings of Direct Seeded Flooded Rice in the Tropics: Selected Papers from the International Rice Research Conference. Seoul, Korea: International Rice Research InstituteGoogle Scholar
Holm, LG, Plucknett, DL, Pancho, JV, Herberger, JP (1977) The World’s Worst Weeds. Honolulu, HI: University of Hawai’i Press. 621 p Google Scholar
Johnson, B, Barnes, J, Gibson, K, Weller, S (2004) Late-season weed escapes in Indiana soybean fields. Crop Manag 3:13 CrossRefGoogle Scholar
Jordan, DL (1997) Efficacy of reduced-rate herbicide combinations in dry-seeded rice (Oryza sativa) on alluvial clay soil. Weed Sci 1:151157 CrossRefGoogle Scholar
King, CA and Purcell, LC (1997) Interference between hemp sesbania (Sesbania exaltata) and soybean (Glycine max) in response to irrigation and nitrogen. Weed Sci 45:9197 CrossRefGoogle Scholar
Leeson, JY, Thomas, AG, Sheard, JW (2005) Weed distribution across field boundaries adjacent to roadsides. Pages 185–199 in Thomas, A.G. (ed.). Topics in Canadian Weed Science. Vol. 1. Field Boundary Habitats: Implications for Weed, Insect and Disease Management. Sainte-Anne-de Bellevue, QC, Canada: Canadian Weed Science Society – Société Canadienne de MalherbologieGoogle Scholar
Lorenzi, H, Jeffery, LS (1987) Weeds of the United States and Their Control. New York: Van Nostrand Reinhold. Pp 7880 Google Scholar
Loux, MM, Berry, MA (1991) Use of a grower survey for estimating weed problems. Weed Technol 1:460466 Google Scholar
Lovelace, ML, Talbert, RE, Schmidt, RE, Scherder, EF, Reaper, JR (2000) Multiple resistance of propanil-resistant barnyardgrass (Echinochloa crus-galli) to quinclorac. Page 153 in Proceedings of the 28th Rice Technical Working Group. Biloxi, MS: Rice Technical Working GroupGoogle Scholar
Malik, MS, Burgos, NR, Talbert, RE (2010) Confirmation and control of propanil-resistant and quinclorac-resistant barnyardgrass (Echinochloa crus-galli) in rice. Weed Technol 24:226233 CrossRefGoogle Scholar
Norman, RJ, Wilson, CE Jr, Slaton, NA (2003) Soil fertilization and mineral nutrition in US mechanized rice culture. Pages 331-411 in Smith, CW, Dilday, RH, eds. Rice: Origin, History, Technology, and Production. Hoboken, NJ: John Wiley Sons Google Scholar
Norsworthy, JK (2003) Use of soybean production surveys to determine weed management needs of South Carolina farmers. Weed Technol 17:195201 CrossRefGoogle Scholar
Norsworthy, JK, Bond, J, Scott, RC (2013) Weed management practices and needs in Arkansas and Mississippi rice. Weed Technol 27:623630 CrossRefGoogle Scholar
Norsworthy, JK, Burgos, NR, Scott, RC, Smith, KL (2007a) Consultant perspectives on weed management needs in Arkansas rice. Weed Technol 21:832839 CrossRefGoogle Scholar
Norsworthy, JK, Smith, KL, Scott, RC, Gbur, EE (2007b) Consultant perspectives on weed management needs in Arkansas cotton. Weed Technol 21:825831 CrossRefGoogle Scholar
Norsworthy, JK, Ward, SM, Shaw, DR, Llewellyn, RS, Nichols, RL, Webster, TM, Bradley, KW, Frisvold, G, Powles, SB, Burgos, NR, Witt, WW (2012) Reducing the risks of herbicide resistance: best management practices and recommendations. Weed Sci 60 (SI I):3162 CrossRefGoogle Scholar
Pack, MM (2017) Rice in Texas. http://www.edibleaustin.com/index.php/food-2/1588-rice-in-texas. Accessed: April 17, 2019Google Scholar
Rao, AN, Johnson, DE, Sivaprasad, B, Ladha, JK, Mortimer, AM (2007) Weed management in direct-seeded rice. Adv Agron 93:153255 CrossRefGoogle Scholar
Regnier, EE, Harrison, SK, Loux, MM, Holloman, C, Venkatesh, R, Diekmann, F, Taylor, R, Ford, RA, Stoltenberg, DE, Hartzler, RG, Davis, AS (2016) Certified crop advisors’ perceptions of giant ragweed (Ambrosia trifida) distribution, herbicide resistance, and management in the Corn Belt. Weed Sci 64:361377 Google Scholar
Riar, DS, Norsworthy, JK, Steckel, LE, Stephenson, DO, Eubank, TW, Scott, RC (2013) Assessment of weed management practices and problem weeds in the midsouth United States—soybean: a consultant’s perspective. Weed Technol 27:612622 CrossRefGoogle Scholar
Rouse, CE, Burgos, NR, Norsworthy, JK, Tseng, TM, Starkey, CE, Scott, RC (2018) Echinochloa resistance to herbicides continues to increase in Arkansas rice fields. Weed Technol 32:3444 CrossRefGoogle Scholar
Schwartz-Lazaro, LM, Norsworthy, JK, Steckel, LE, Stephenson, DO, Bish, MD, Bradley, KW, Bond, JA (2018) A midsouthern consultant’s survey on weed management practices in soybean. Weed Technol 32:116125 CrossRefGoogle Scholar
Shaner, DL (2014) Herbicide Handbook. 10th edn. Lawrence, KS: Weed Science Society of America. Pp 1112 Google Scholar
Shaw, DR, Givens, WA, Farno, LA, Gerard, PD, Jordan, D, Johnson, WG, Weller, SC, Young, BG, Wilson, RG, Owen, MD (2009) Using a grower survey to assess the benefits and challenges of glyphosate-resistant cropping systems for weed management in US corn, cotton, and soybean. Weed Technol 23:134149 CrossRefGoogle Scholar
Shivrain, VK, Burgos, NR, Anders, MM, Rajguru, SN, Moore, J, Sales, MA (2007) Gene flow between Clearfield™ rice and red rice. Crop Prot 26:349356 CrossRefGoogle Scholar
Singh, V, Singh, S, Black, H, Boyett, V, Basu, S, Gealy, D, Gbur, E, Pereira, A, Scott, RC, Caicedo, A, Burgos, NR (2017) Introgression of Clearfield™ rice crop traits into weedy red rice outcrosses. Field Crops Res 207:1323 CrossRefGoogle Scholar
Smith, RJ, Hill, JE (1990) Weed control technology in US rice. Pages 314327 in Grayson, BT, Green, MB, Copping, LG, eds. Pest Management in Rice. Dordrecht: Springer CrossRefGoogle Scholar
[USDA-FAS] U.S. Department of Agriculture, Foreign Agricultural Service (2020) Rice. https://www.fas.usda.gov/commodities/rice. Accessed May 5 2020Google Scholar
[USDA-NASS] U.S. Department of Agriculture, National Agricultural Statistics Service (2020) Statistics by subject. https://www.nass.usda.gov/Statistics_by_Subject/index.php?sector=CROPS. Accessed: May 5, 2020Google Scholar
Webster, TM, Coble, HD (1997) Changes in the weed species composition of the southern United States: 1974 to 1995. Weed Technol 1:308317 CrossRefGoogle Scholar
Webster, TM (2001) Weed survey – southern states. Proc South Weed Sci Soc 54:244259 Google Scholar
Willingham, SD, Bagavathiannan, MV, Carson, KS, Cogdill, TJ, McCauley, GN, Chandler, JM, (2015). Evaluation of herbicide options for alligatorweed (Alternanthera philoxeroides) control in rice. Weed Technol 29:793799 CrossRefGoogle Scholar
Zhang, W, Webster, EP, Blouin, DC (2005) Response of rice and barnyardgrass (Echinochloa crus-galli) to rates and timings of clomazone. Weed Technol 19:528531 CrossRefGoogle Scholar